Working Paper Series
Assessing the fiscal-monetary
policy mix in the euro area
Krzysztof Bańkowski, Kai Christoffel,
Thomas Faria
Disclaimer: This paper should not be reported as representing the views of the European Central Bank
(ECB). The views expressed are those of the authors and do not necessarily reflect those of the ECB.
No 2623 / December 2021
Abstract
This paper attempts to gauge the effects of various fiscal and monetary policy rules on
macroeconomic outcomes in the euro area. It consists of two major parts a historical assessment
and an assessment based on an extended scenario until 2030 and it builds on the ECB-BASE
a semistructural model for the euro area. The historical analysis (until end-2019, ’pre-pandemic’)
demonstrates that a consistently countercyclical fiscal policy could have created a fiscal buffer
in good economic times and it would have been able to eliminate a large portion of the second
downturn in the euro area. In turn, the post-pandemic simulations until 2030 reveal that certain
combinations of policy rules can be particularly powerful in reaching favourable macroeconomic
outcomes (i.e. recovering pandemic output losses and bringing inflation close to the ECB target).
These consist of expansionary-for-longer fiscal policy, which maintains support for longer than
usually prescribed, and lower-for-longer monetary policy, which keeps the rates lower for longer
than stipulated by a standard reaction function of a central bank. Moreover, we demonstrate
that in the current macroeconomic situation, fiscal and monetary policies reinforce each other
and mutually create space for each other. This provides a strong case for coordination of the
two policies in this situation.
JEL classification: E32, E62, E63
Keywords: Model simulations, Fiscal rules, Monetary policy rules, Joint analysis of fiscal and
monetary policy
ECB Working Paper Series No 2623 / December 2021
1
Non-technical Summary
Fiscal and monetary policy in the euro area exhibited distinct behaviours in the past, especially
amid the euro area sovereign debt crisis when fiscal policy was overall not supportive to growth (i.e.
procyclical). Against this background, this paper attempts to gauge the effects of various fiscal and
monetary policy rules, irrespective of the existing institutional arrangements, on macroeconomic
outcomes under different monetary policy rules. The analysis is conducted through the lens of
counterfactual scenarios using the ECB-BASE model, which is a semi-structural macroeconomic
model of the euro area.
In the model simulations we consider the two following subsamples: the historical pre-pandemic
period up to 2019Q4 and the post-pandemic projection period up to 2030. For the historical period
we mostly investigate whether different fiscal policy behaviour more aligned with the monetary
policy reaction would have been able to improve stabilisation of the euro area economy compared
to the realised trajectories. We also carefully look how the efficiency and the cost of the alternative
fiscal policy arrangements depend on the reaction of the central bank. Turning to the post-pandemic
horizon, we note that this period is associated with great macroeconomic challenges such as low
natural interest rate and high government debt. Taking into account this environment, we attempt
to identify constellations of the two policies that would facilitate a strong performance of the euro
area economy going forward.
According to the model simulations for the historical period, consistently countercyclical fiscal
policy significantly improves macroeconomic outcomes. In particular, it creates a buffer in good pre-
crisis times and, subsequently, eliminates a large portion of the second downturn associated with the
euro area sovereign debt crisis. Moreover, it noticeably reduces the negative inflation gap in recent
years. While these benefits are attainable at a manageable cost, as judged by the debt-to-GDP ratio,
they are also conditional on monetary accommodation. Also importantly, the positive outcomes can
only be achieved if the alternative fiscal policy is implementable in the euro area in real time an
aspect we do not assess in the paper.
Regarding the post-pandemic period, our analysis indicates that the combination of expansionary-
for-longer fiscal policy and low-for-longer monetary policy has a chance to significantly improve
macroeconomic prospects. We define expansionary-for-longer fiscal policy as a policy that is ex-
ECB Working Paper Series No 2623 / December 2021
2
traordinarily cautious to ensure that a recovery is well in place and, as such, it maintains fiscal
support for longer and beyond the closure of the output gap. Low-for-longer monetary policy, in
turn, is defined as a policy that keeps the rates lower for longer compared to what would be sug-
gested by the standard reaction function of a central bank. Concretely, this policy constellation
could recover around 50% of the accumulated output losses that materialised amid the pandemic
and bring inflation into the territory close to the ECB target. While admittedly, this policy course
would require a considerable fiscal expansion and it would lead to a non-negligible increase in gov-
ernment debt the euro area debt-to-GDP ratio would remain still on non-increasing path around
100%, for most policy mixes.
Our analysis also indicates, that at the current juncture fiscal and monetary policy reinforce each
other, pointing to complementarities between the two policies. Fiscal policy stimulates output and
inflation more under the low-for-longer monetary policy rule than under the standard Taylor rule.
In the same vein, the ability of monetary policy to positively influence macroeconomic conditions is
greater when fiscal policy is expansionary-for-longer rather than when fiscal policy behaves as it did
in the past. Another important finding of the model simulations is that both policies create mutual
space for each other. Fiscal policy alleviates the ELB constraint faced by monetary policy, thereby
empowering the central bank. On the other hand, monetary policy limits the cost of fiscal policy
by preserving favourable financing conditions, hence it positively influences the fiscal space. This
provides a strong case for coordination between the two policies at the current juncture.
The stochastic simulations considering uncertainty confirm the findings of the deterministic sim-
ulations. Moreover, these simulations assess the stabilisation properties of fiscal and monetary policy
in an optimistic growth scenario and a pessimistic growth scenario.
1 Introduction
The conduct of fiscal and monetary policy has changed notably in the EMU period. Until the
great financial crisis (GFC) the aggregate variables representing the overall stance of policies (as
depicted by the euro area aggregate government budget balance and the ECB’s short-term interest
rate) co-moved with the business cycle (see Figure 1, co-movement with the output gap and the
inflation gap). In addition, in the wake of the GFC both policies strongly reacted to the downturn
ECB Working Paper Series No 2623 / December 2021
3
in a countercyclical fashion. Afterwards, however, a notable divergence between fiscal and monetary
policy emerged. While the latter, with the exception of a short tightening episode in 2011, kept
on progressing with an accommodative stance the former was tightening. In essence, fiscal and
monetary policy in the euro area reacted to the second downturn into opposite directions, with fiscal
policy exhibiting a procyclical stance.
Figure 1: Policy reaction over the business cycle in the euro area
-4
-2
0
2
4
-2
0
2
4
6
2004 2007 2010 2013 2016 2019
-4
-2
0
2
4
-7
-5
-3
-1
1
2004 2007 2010 2013 2016 2019
Output Gap (% of Pot. GDP)
Inflation Gap (pp)
Interest Rate (%, rhs)
Shadow Rate (%, rhs)
Output Gap (% of Pot. GDP)
Inflation Gap (pp)
Budget Balance (% of Pot. GDP, rhs)
Sources: Eurosystem and European Commission.
Notes: The inflation gap is calculated as the deviation to the 2% target value. The shadow rate is calculated according
to the methodology of Lemke and Vladu (2017). The potential GDP for the calculation of the output gap and the
budget balance-to-GDP ratio comes from the European Commission (Spring 2021 Economic Forecast) given that the
ECB does not publish potential GDP estimates.
The prevailing policy mix in the euro area since the formation of the EMU relied on monetary
policy as the main macroeconomic stabilisation tool. Fiscal policy instead was supposed to primarily
focus on ensuring debt sustainability and addressing country idiosyncratic shocks mostly by letting
automatic stabilisers operate freely. While the adequacy of this paradigm was largely unchallenged
during the great moderation period, the crisis episodes (i.e. the GFC and the COVID crisis) gave
rise to calls for a reassessment. Addressing these demands requires thorough analysis verifying to
which extent the policy mix in place was supportive to the achievement of the policy targets and
whether potential adjustments to the policy arrangements could improve the economic outcomes in
ECB Working Paper Series No 2623 / December 2021
4
the future.
A remarkable shift in the view on the role of fiscal policy in macroeconomic stabilisation has
materialised already in the aftermath of the GFC. In the policy realm a huge ’multiplier debate’
erupted in 2011 on the effectiveness of fiscal policy after Olivier Blanchard in his role as chief
economist of the International Monetary Fund had emphasised that fiscal consolidations may be
self-defeating. The literature rediscovering the role of fiscal policies in macroeconomic stabilisation,
which simply burgeoned since then, pointed out mostly two key points (see Ramey (2019) for a
comprehensive literature survey). First, it underlined that at the lower bound fiscal policy is more
effective than usual (see, e.g. Eggertsson (2011) and Christiano et al. (2011)). Second, it made
clear that fiscal policy might be indispensable for monetary policy to avoid persistent shortfalls of
inflation from its objective at the lower bound (see, e.g. Schmidt (2013) and Corsetti et al. (2019)).
Our paper aims to contribute to this strand of literature by conducting an empirical exercise for the
euro area. While many of the existing studies make use of parsimonious models to highlight key
mechanisms at play our paper aims to conduct the analysis in a realistic data-driven environment
that is closely linked to the prevailing macroeconomic conditions in the euro area (i.e. interest rates
at the ELB, subdued inflation staying persistently below the target and elevated government debt
levels).
This paper attempts to illustrate through the means of counterfactual scenarios the im-
plications of different fiscal and monetary policy behaviours, captured by rules, for macroeconomic
outcomes.
1
To this end, we consider the historical pre-pandemic period up to 2019Q4 and a post-
pandemic projection period up to 2030. For the historical period we mostly investigate whether
fiscal policy that avoids procyclicality reduces cyclical fluctuations. As far as the forward-looking
period is concerned, we attempt to identify constellations of policy rules that ensure favourable
macroeconomic outcomes (i.e. no negative output gap and no sizeable inflation shortfalls).
According to the model simulations, consistently countercyclical fiscal policy creates a buffer
in the good pre-GFC times and, subsequently, it has the potential to eliminate a large portion of
the second downturn associated with the euro area sovereign debt crisis. Moreover, it reduces the
1
Fiscal and monetary policy interact in multiple ways. Bassetto and Sargent (2020) emphasise that the separation
between the fiscal and monetary authority tends to be blurred. We maintain a clear separation of monetary and fiscal
authorities and analyse the interactions via the policy rules only.
ECB Working Paper Series No 2623 / December 2021
5
negative inflation gap in recent years without bringing large cost in terms of government debt. These
benefits are conditional on full monetary accommodation.
Regarding the post-pandemic period, our analysis indicate that the combination of an expansionary-
for-longer fiscal policy (i.e. a policy that maintains fiscal support longer beyond the closure of the
standard output gap) and a low-for-longer monetary policy (i.e. a policy that keeps the rates low
for longer compared to a standard Taylor rule) has a chance to significantly improve macroeconomic
prospects. Concretely, this policy constellation recovers around 50% of the accumulated output
losses that materialised amid the pandemic and brings inflation into the territory close to the ECB
target. Reaching such outcomes requires a moderate increase in government debt. Our analysis also
indicates that at the current juncture fiscal and monetary policy reinforce each other and mutually
create space for each other. This provides a strong case for the coordination between the two policies
currently.
We conduct our analysis in a rich macroeconomic environment and our findings illustrate how
conclusions of the academic literature on fiscal policy and its interactions with monetary policy can
be brought closer to policy-making. Most notably, we show that when the interest rate policy is
constrained until 2024 in our case fiscal policy becomes an effective tool at the disposal of policy-
makers. While it is necessarily associated with budgetary costs, those are significantly alleviated by
material benefits to both real and nominal developments. This helps to reduce the tension between
the stabilisation needs and fiscal space when debt-to-GDP ratios are high (approaching 100% for
the euro area aggregate in the next years). Moreover and similarly to the literature findings, our
exercise shows that expansionary fiscal policy could support monetary policy. In particular, with
supportive fiscal policy, it would be easier to address the inflation shortfalls persisting in the euro
area rather than with monetary policy tools alone.
Due to the richness of the model specification and the close link to the data, our analysis provides
a higher degree of realism in comparison to existing studies. Notwithstanding this, the modelling
exercise involves several limitations, which should have a bearing on the interpretation of the simula-
tion results. First, the euro area is modelled as a whole, thereby missing country heterogeneity and
other national aspects. This is particularly important because a desirable policy, even if identified,
may not be easily implementable given the incomplete setup of the fiscal architecture of the EMU.
ECB Working Paper Series No 2623 / December 2021
6
Moreover, it is virtually impossible at the aggregate level to reflect fiscal sustainability concerns of
the monetary union as these are driven by single member states. Second, the conducted exercise is
specific to the periods under consideration. For a general ranking of the policy rules, the analysis
should be re-conducted with stochastic simulations around the balanced growth path. Third, the
model does not feature sovereign default and it is therefore not suitable for sovereign stress analysis.
High debt-to-GDP ratios could increase the probability of sovereign stress in euro area Member
States, with a bearing on the cost of refinancing. Fourth, the model is not equipped with a regime
switching to passive monetary policy and active fiscal policy and, as such, is not suitable for study-
ing fiscal dominance. Finally, the lack of model consistent expectations implies that agents in the
economy are not behaving in a Ricardian way. This could lead to an overestimation on the efficacy
of fiscal policy for macroeconomic stabilisation, which is discussed in one of the subsections. In a
related vein, monetary policy cannot rely on the anticipation channel, dampening the efficacy of
monetary policy tools.
The paper is structured as follows. Section 2 describes the model, with a focus on fiscal and
monetary policy rules. Section 3 and 4 contain the historical assessment and the post-pandemic
assessment respectively. Section 5 briefly concludes.
2 Model set-up & specification of the policy rules
The ECB-BASE is a semi-structural macroeconomic model of the euro area, developed for the use
in the macroeconomic projections, as well as for policy simulations (see Angelini et al. (2019) for a
model description). The model features a developed financial block with elaborate monetary policy
channels. Also, the model is characterised by a rich representation of the general government, which
provides for a meaningful role of fiscal policy.
The applied version of the model embeds backward-looking expectations, which tilts the power
from monetary policy to fiscal policy compared to a DSGE model with forward-looking expect-
ations. Backward-looking expectations result in the absence of Ricardian equivalence.
2
In this
context, economic agents do not internalise any future consolidation needs resulting from a fiscal
2
In the situation of economic stress, like during the current COVID crisis, weakening the Ricardian equivalence
may be justified on the grounds that the share of liquidity constrained households is higher than usually.
ECB Working Paper Series No 2623 / December 2021
7
stimulus. Accounting for any anticipated future consolidation would weaken its effects.
3
Similarly,
financial market participants in the model are insensitive to any announced information on the fu-
ture developments in interest rates, or other monetary policy measures known in advance. This
eliminates the power of forward guidance that is present in DSGE models and weakens the potency
of monetary policy make-up rules, which largely work through anticipation channels (see Hebden
et al. (2020) for the analysis of the effects of expectations on monetary policy make-up rules).
The quantitative responses of the ECB-BASE model to macroeconomic shocks are assessed in
Angelini et al. (2019) by benchmarking the model results against comparable models, including
semi-structural and DSGE models. One further reference for assessment can be found in the ’Basic
Model Elasticities’ (BMEs). These BMEs are developed by the National Banks of the Eurosystem
and are used regularly in the forecast exercises. They condense the views of modellers and forecasters
in the Eurosystem on the propagation of macroeconomic shocks.
4
To address a potential criticism
that the model gives too much power to fiscal policy and too little potency to monetary policy we
cross-check the effects fiscal and monetary policy shocks with the BMEs as well. It turns out that
government spending multipliers are broadly consistent with those embedded in the BMEs and the
effects of monetary policy are greater than according to the BMEs.
5
Based on this benchmarking
against reference models, we conclude that the power of the two policies is balanced.
One of the major advantages of the ECB-BASE model is its close link to the current conjunc-
tural developments. The model is firmly anchored not only in the historical data but also in the
Eurosystem projections. In particular, the baseline of the post-pandemic exercise reflects recent
macroeconomic projections.
6
As such, the model takes a comprehensive account of the current
3
The standard RBC/ NK model features infinitely-lived households, whose consumption decisions at any point in
time are based on an intertemporal budget constraint. Ceteris paribus, an increase in government spending lowers
the present value of after-tax income, thus generating a negative wealth effect that induces a cut in consumption.
In this context, standard macroeconomic models feature strong Ricardian effects, which are sometimes at odds with
empirical findings (e.g. Blanchard and Perotti (2002)). Against this background, a vast amount of studies established
models, where the Ricardian effects are weakened (see, for instance, Gali et al. (2007), which added rule-of-thumb
households).
4
The BMEs have been developed in the context of the Eurosystem projections and they summarise the effects of
changes in assumptions (including fiscal and financial assumptions) on macroeconomic variables. They can be inter-
preted as a simplified version of the macroeconomic models used by National Central Banks for economic projections.
As such, they constitute a benchmark for the assessment of fiscal and monetary policy in a macro model. ECB (2016)
provides details on BMEs and their application in the projections.
5
The comparison of policy effects cannot be shown in this paper on account of the fact that the BME elasticities
are not made available to the public.
6
The baseline of the post-pandemic horizon exercise presented in the paper is broadly in line with the December
ECB Working Paper Series No 2623 / December 2021
8
environment with low interest rates, inflation persistently staying well below the target and large
negative output gaps amid the COVID crisis.
2.1 Baseline specification of fiscal and monetary policy
With a view to comprehensively reflecting government accounts, fiscal policy in the ECB-BASE
involves multiple instruments. This applies to both the revenue and spending side of the budget.
Single instruments are in most of the cases modelled with Error Correction Mechanism (ECM)
equations appended with the output gap and deviations of the debt ratio from its target. These two
terms represent the stabilisation and sustainability components of fiscal policy.
In the context of this paper, the three following spending categories are used as primary fiscal
instruments: government transfers, purchases and investment.
7
The choice is motivated by the
observation that the changes in outlays within these items observed in the past were sufficiently large
to influence the evolution of the output gap. This stands in contrast to, for instance, government
compensation which exhibits exceptionally stable dynamics in the data (see Figure A.1 in Appendix).
Moreover, all the three selected categories involve some characteristics of discretionary spending.
Given this we the three fiscal instruments as suitable for macroeconomic stabilisation purposes.
Specifically, the spending instruments considered in this paper evolve in line with Eq. 1. The
formula stipulates that actual spending (g
t
) converges towards its trend and, in addition, responds
to cyclical fluctuations as well as to deviations of the debt-to-GDP ratio from its target.
g
t
= α
g
t1
g
T
t1
+ δg
T
t
+
2
X
k=1
ρ
k
g
tk
+ γ
Y
ˆ
Y
t
+ γ
B
B
t
¯
Y
t
P
t
¯
b
+ ε
G
t
(1)
where g
t
is log of actual spending, g
T
t
is log of trend spending,
ˆ
Y
t
is the real output gap,
B
t
¯
Y
t
P
t
is
the debt ratio to nominal output,
¯
b is the debt-to-GDP ratio target and ε
G
t
is the residual term.
8
2020 macroeconomic projection (see ECB (2020) for the results), to the extent that macroeconomic variables are
made available to the public. The estimates of potential GDP, which are crucial for the analysis and which are not
published by the ECB, come from the European Commission’s Economic Forecast (Spring 2021).
7
To avoid complexity, we limit our investigation of fiscal rules to the spending side of the budget. In general,
government expenditures are characterised by a higher output multiplier compared to taxes as it affects output more
directly. In this context, government spending may be seen as more suitable for output stabilisation than taxes.
8
Fiscal rules in the ECB-BASE are broadly consistent with those in DSGE models with elaborate fiscal policy (see,
for instance, Coenen et al. (2013)). In addition, the inclusion of trend and lags in the equation ensures a good data
fit.
ECB Working Paper Series No 2623 / December 2021
9
The coefficients entailed in the spending rules are estimated, summarising the average behaviour of
fiscal policy over the entire sample. This also applies to the coefficient on the output gap, which
represents the cyclicality of fiscal policy. Given the contrasting nature of the euro area fiscal policy
(i.e. countercyclical amid the GFC and procyclical thereafter) the estimated coefficients turn out to
be very small (see Table A.1 for exact values). This points to little reaction of fiscal policy to the
cycle on average embedded in the baseline fiscal rules.
Turning to monetary policy, the short-term interest rate follows a standard Taylor rule that
accounts for the ELB. The rule builds upon an empirical version of Taylor (1999), describing the
interest rate setting outside the constrained area.
R
t
= max
h
0.85R
t1
+ 0.15
r
+ ¯π
t
+
ˆ
Y
t
+ ( ¯π
t
π
)
, 0.5
i
+ ε
R
t
(2)
where R
t
denotes the nominal short term interest rate, r
is the equilibrium real interest rate, ¯π
t
is
the average annual inflation rate, π
denotes the 2% target, and
ˆ
Y
t
is the output gap.
9
The effective
lower bound is imposed at -50 basis points.
In addition to the standard interest rate rule, the effects of non-standard policies, in particular
asset purchases, are approximated via interest rate add-ons on short-term expectations and long-
term rates. This constitutes an indirect approach to account for the non-negligible effects of APP
and PEPP on the risk premium and on expectations. To this end, the paper takes as given the
existing estimates of the effect of quantitative easing on the yield curve (see Eser et al. (2019)). In
order to include these effects into the simulation a simple rule is specified. This rule defines the
add-ons as a function of the inflation gap, that is only activated if interest rates are in negative
territory (see Eq. 3 and 4).
R
add,ST
t
= 0.99R
add,ST
t
+ 1 [R
t
0] 0.01 ( ¯π
t
π
) + ε
R
add,ST
t
(3)
R
add,LT
t
= 0.95R
add,LT
t
+ 1 [R
t
0] 0.05 ( ¯π
t
π
) + ε
R
add,LT
t
(4)
9
We base the values for the past unobserved natural rate in the euro area on Holston et al. (2017). Going forward
we assume that the value remains around zero as indicated by some of the estimates in Brand et al. (2018).
ECB Working Paper Series No 2623 / December 2021
10
Subsequently, these values are used to adjust the term premium of the long-term rates and VAR-
based expectation formation through the short-term rate. By incorporating into the analysis the
data on long-term interest rates, forward guidance is partly reflected in the baseline.
10
The analysis in this paper is based on the model under VAR expectations.
11
VAR expectations
assume only limited knowledge of the joint dynamics of the variables and they correspond to the
same restricted information set used in the estimation of the model. Specifically, the VARs share a
core set of macro variables: the policy rate, the GDP deflator, and the output gap. This design can
be interpreted as a limited form of rational expectations. The system of the core VAR variables is
augmented by the specific variable for which expectations are being formed. We label this form as
backward looking expectations because the information set for forming expectations is containing
only contemporaneous and past variables.
More precisely the setup of the VAR used for forming the expectations is:
z
t
= Λ
0
(z
t1
z
t1
) +
P
K
k=1
Λ
k
z
tk
(5)
where z
t
is a vector of variables containing inflation, the level of the interest rate and the output gap,
Λ
0
is a matrix containing coefficients that control how the variables respond to the deviation of the
lagged level from the long-term attractors, Λ
k
are matrices that collect autoregressive coefficients for
K lags. There are two different cases how expectations enter into the model. For the price and wage
equations the expectations of the t + h-quarter variable is based on rolling the VAR forward. For
variables inside the PAC specification, the VAR defines the information set to map into the desired
level of the target variable.
12
10
Backward-looking expectations of the model do not allow for analysing the effects of forward guidance in a
commensurate way.
11
Similarly to the FRB/US model, the ECB-BASE can technically allow for two alternative ways of forming the
expectations of different agents. Specifically, expectations can be either based on projections from an estimated
small-scale auxiliary VAR model (i.e. VAR or limited information expectations) or consistent with a full knowledge
of the dynamics of the model (i.e model-consistent or rational expectations). The latter case assumes that agents
are fully rational and their expectations are based on the solution of the model under the assumption that also the
expected variables follow the internal logic of the model. Rational expectations are sometimes criticised as being overly
optimistic on the assumption that agents have a complete understanding of the economy and base their expectation
on this understanding.
12
Angelini et al. (2019) contains an in-depth description of the expectation formation process in the ECB-BASE.
ECB Working Paper Series No 2623 / December 2021
11
2.2 Alternative fiscal policy and monetary policy rules
We define the rule with the estimated coefficients as the baseline, which turns out to be broadly
neutral (i.e. acyclical) to the cycle. A first counterfactual rule is then defined as a rule that decisively
reacts to real economic developments in a countercyclical fashion. Such a rule has its natural limit,
once the real output gap closure is achieved. After deep recessions with lasting inflation shortfalls,
it might still be warranted to keep fiscal stimulus in place. To address this limitation we introduce
further rules based on an augmented output gap, which deviates from the standard gap only when the
policy rate hits the ZLB. We label rules of this type as expansionary-for-longer fiscal policy because
they provide fiscal support for longer, beyond the point when the output gap closes. Such fiscal
policy rules constitute an analogy to low-for-longer monetary policy rules, which provide monetary
support beyond what is suggested by a standard Taylor rule.
The exact specification of the countercyclical fiscal rules is as follows (see Eq. 6).
g
t
= α
g
t1
g
T
t1
+ δg
T
t
+
2
X
k=1
ρ
k
g
tk
+ γ
Y
ˆ
Y
t
+ γ
B
B
t
¯
Y
t
P
t
¯
b
+ ε
G
t
(6)
where γ
Y
<< 0. In fact, what makes the countercyclical fiscal rule distinct from an estimated fiscal
rule (see Eq. 1) is the size of the coefficient on the output gap, which in the case of the latter is
close to zero.
13
The first approach to implement expansionary-for-longer fiscal policy is based on the substitution
of the real output gap by the nominal output gap the nominal approach. This means that the real
output gap is augmented by a price gap, computed as cumulative inflation deviations over time. The
second approach relies on augmenting the standard output gap with past negative output gaps the
real approach. This implies that policy-makers rather than being concerned only about closing the
contemporanous output gap attempt to also compensate additionally for past output shortfalls.
14
There are multiple reasons for fiscal policy to consider not only the real but also the nominal
13
Given the complexity of the spending rules the interpretation of γ
Y
may not be straight-forward. The value used
in the analysis for government purchases is equal to -0.1 which is a value that ensures a sizeable, albeit still plausible,
fiscal expansion (see Figure 13 for the exact amounts of additional expenditure associated with various scenarios).
The coefficient values for other instruments (i.e. social transfers and government investment) are rescaled accordingly
so that a fiscal expansion is evenly distributed across the three instruments used in the analysis.
14
This might be considered in cases where protracted shortfalls lead to hysteresis or scarring effects which are not
fully reflected in the level of the output gap.
ECB Working Paper Series No 2623 / December 2021
12
developments in policy setting. First, nominal income, and not only real income, is a relevant
variable perceived by economic agents, thereby constituting the basis for their business decision
making. Second, it is nominal income that is relevant for debt sustainability one of the main
concerns for a fiscal authority. Third, the price dynamics embedded in the nominal concept may
improve the understanding of the current state of the business cycle given material uncertainty about
the unobservable real output gap (see for example Jarociński and Lenza (2018)). Finally, a fiscal
authority responding only to real developments and the monetary authority reacting solely to price
dynamics may result in the divergence of policy courses. The aim to coordinate, will necessarily
involve policy rules based on similar variables (i.e. see, for instance, Bianchi et al. (2020) suggesting
a common strategy for fiscal and monetary policy in the current environment).
Importantly, such a formulation does not call for any shift of responsibility between monetary
and fiscal authorities. With policy rates at the ELB monetary policy may not be able to ensure
adequate dynamics on the nominal side. In such a situation fiscal policy, supported by favourable
financing conditions, remains an effective macroeconomic tool. In a situation characterised by a
closed output gap and still subdued price dynamics, nominal output gap targeting on the fiscal side
could contribute to excess demand and higher prices simultanously. It would deliver some make-up
for the large output losses experienced in the euro area both during the great recession and amid
the COVID crisis.
Turning to the real approach, expansionary-for-longer fiscal policy can also be achieved by con-
sidering past negative real output gaps when the interest rate is at the ZLB. This specification can
be mostly motivated by the desire to recover at least some of the significant output losses that
materialised during severe crises (e.g. amid the GFC or the COVID crisis). Our model baseline
indicates that cumulative output losses with respect to potential GDP are reaching around 15%
of GDP, which is undeniably a sizeable figure (see Figure 5). The case for recovering past output
losses is particularly strong in the presence of hysteresis effects, which stipulates that grave output
shortfalls affect potential GDP.
15
In such an environment, a period of excess demand could help to
address some of these adverse effects, thereby preserving potential capacity of the economy. This
15
Permanent damage to a potential output following a cyclical recession can materialise through a number of
channels such as labour force, capital stock and productivity. Cerra et al. (2020) contains a review of the related
literature.
ECB Working Paper Series No 2623 / December 2021
13
may be the case currently when the COVID crisis brings massive disruptions to economic activity.
16
Formally, the expansionary-for-longer fiscal rules can be described by the following equation
g
t
= α
g
t1
g
T
t1
+ δg
T
t
+
2
X
k=1
ρ
k
g
tk
+ γ
Y
ˆ
Y
t
aug,i
+ γ
B
B
t
¯
Y
t
P
t
¯
b
+ ε
G
t
(7)
where γ
Y
<< 0 remains like in the countercyclical fiscal rules. The specification of
ˆ
Y
t
aug,i
depends
on whether we consider the nominal (i = nom; see Eq. 8) or the real (i = real; see Eq. 9) approach.
It is crucial to emphasise that the augmenting terms, which cumulate the inflation deviations in
the case of
ˆ
P
t
or output shortfalls in the case of
ˆ
Y
t
add
embed a memory loss (see the details on
Appendix Section B). Varying the degree of it is useful to demonstrate how expansionary-for-longer
fiscal policy gains strength in macroeconomic stabilisation.
17
ˆ
Y
t
aug,nom
=
ˆ
Y
t
+ 1 [R
t
0]
ˆ
P
t
(8)
ˆ
Y
t
aug,real
=
ˆ
Y
t
+ 1 [R
t
0]
ˆ
Y
t
add
(9)
Turning to monetary policy, the paper considers three alternative policy rules which embed
various degrees of monetary accommodation. These rules stipulate average inflation targeting with
an averaging windows of different length. As such, the rules take into account the accumulated
inflation deviations over the corresponding time windows. Given the persisting negative inflation
deviations, the rules imply additional monetary accommodation (i.e. keeping rates low for longer)
compared to the standard Taylor rule at the current juncture.
18
For this reason, we label the regimes
implied by these alternative rules as low-for-longer monetary policy.
Concretely, the rules feature inflation gaps based on 2-year, 3-year and 4-year averaging windows.
The specification of the rules is consistent with the study by Arias et al. (2020) prepared for the
16
IMF (2021) points to significant scarring effects to global output in the medium term as a result of the pandemic.
17
Without any memory loss the price gap becomes very large given the persistent inflation shortfalls in recent years.
The large size makes the gap hardly usable as an indicator in a policy rule.
18
The readiness of a policy-maker to cool the economy because of a realised inflation overshooting may be different
from the readiness to stimulate the economy because of realised inflation shortfalls. To reflect this, some studies,
like Arias et al. (2020), consider asymmetric average inflation rules, where the make-up strategy only applies to past
inflation shortfalls. In our analysis this is the case even with the symmetric rules because the inflation have been
recording negative deviations in the data.
ECB Working Paper Series No 2623 / December 2021
14
discussion of the Federal Reserve’s review of monetary policy strategy.
19
Formally the rule for a
T-year average inflation targeting follows Eq. 10 with ¯π
t
(T year )
being the T-year average inflation.
R
t
= max
h
0.85R
t1
+ 0.15
r
+ ¯π
t
+
ˆ
Y
t
+ T
¯π
t
(T year )
π

, 0.5
i
+ ε
R
t
(10)
2.3 Criteria for assessing the rules
Having specified fiscal and monetary policy rules for the analysis it is equally important to lay out
criteria used for their assessment. By contrast to many papers in the academic literature, we do not
attempt to identify optimal rules for fiscal and monetary policy (see Benigno and Woodford (2003))
for a single economy and Kirsanova et al. (2007) for a monetary union as examples of studies).
Instead, we consider rules that are commonly accepted in the policy-making world and extend them
along several dimensions as explained in Subsection 2.2. The modifications are motivated by the
desire to improve realised or projected macroeconomic outcomes, such as high output volatility or
persisting inflation shortfalls.
In contrast to the existing literature based on parsimonious theoretical models, we do not assess
the rules with a single welfare-based loss function (see the derivation for a simple NK model in Gali
(2015)). ECB-BASE is not rigorously micro-founded and consequently, does not feature an explicit
welfare measure. Specifying a loss function in this context would necessarily require additional
assumptions, such as weighting the typical loss function variables.
20
We focus, instead, on a set of variables that are relevant to policy-makers and will allow them to
judge the rules with a cost-benefit approach. In line with the chosen policy rules, we use output gap
and inflation. In addition to this we analyse the policy variables themselves and variables that are
informative about the cost of stabilisation. For monetary policy, these are the short-term interest
rate and the ZLB duration. For fiscal policy, these are the budget balance-to-GDP ratio and the
government debt-to-GDP ratio. To condense the findings of the simulations we do not only offer
graphical presentation of the above mentioned variables but also summarise them in heat maps for
19
The average inflation targeting rules in Arias et al. (2020) rely on 4-year and 8-year averaging windows. We
consider shorter horizons for the sake of realism.
20
Hauptmeier and Kamps (2020), for instance, in their assessment of selected fiscal rules assume that a fiscal
authority follows a quadratic loss function consisting of the output gap and government debt-to-GDP deviations. The
aggregation of the two terms requires choosing υ parameter (where 0 < υ < 1), which represents the preference of a
fiscal authority to stabilise the business cycle relative to debt sustainability.
ECB Working Paper Series No 2623 / December 2021
15
the post-pandemic scenario (see Figure 11, 12 and 13.)
3 Historical perspective
The analysis of fiscal policy in this section is based on counterfactual scenarios conducted around
the historical sample from 2003 to 2019. Through the lens of the ECB-BASE model we attempt to
illustrate how various fiscal policies affect the business cycle under two different configurations of
monetary policy.
21
The first set of simulations assumes that monetary policy does not react to any
changes brought by the alteration of the fiscal rules and remains the same as observed in the data. In
the second step, the monetary policy reaction becomes endogenous with the central bank following a
standard Taylor rule. Eventually, by turning to stochastic simulations we generalise the illustration
by considering uncertainty. The analysis remains agnostic on whether the fiscal policy implied by
the considered fiscal rules was implementable given past financial and political conditions.
3.1 Fiscal rules with exogenous monetary policy
According to the model simulations, the alternative fiscal rules substantially smooth the real out-
put gap and slightly reduce the inflation gap without causing a surge in the government debt. A
systematically countercyclical policy (see Figure 2, Countercyclical rule) reduces the output gap
fluctuations significantly. Initially, the spending retrenchment imposed by the rule during the good
pre-crisis times dampens the positive output gap noticeably. Afterwards, a supportive fiscal policy
that sharply reacts to the downturns facilitates the post-GFC recovery and alleviates the gravity of
the second downturn. While the inflation benefits are non-negligible during the post-GFC period,
the inflation rate still remains far from the target for an extended period of time given the large size
of the recorded shortfalls.
Scenarios with expansionary-for-longer fiscal rules (see Figure 2, Expansionary-for-longer I, II,
III rules) bring additional stimulating effects. The countercyclical fiscal rule that reacts to the
standard output gap stops providing support with the output gap closure in late 2016. This is the
moment when the expansionary-for-longer fiscal policy starts making a sizeable difference providing
21
One crucial assumption underlying the simulations is that all shocks/ residuals in the model remain unchanged
compared to those associated with the realised data.
ECB Working Paper Series No 2623 / December 2021
16
support beyond the output gap closure. Fiscal policy under these rules constitutes an option to
further diminish the accumulated output losses amid the two crisis episodes or to support inflation
dynamics. This, however, requires a prolongation of the fiscal stimulus well beyond the sovereign
debt crisis, which is associated with a considerable overheating of the economy in recent years. In
fact, the implementation of the expansionary-for-longer rules more than overcompensates for the
accumulated output losses towards the end of the sample with inflation still not being firmly on
target.
Judging by the evolution of the debt-to-GDP ratio in the various scenarios, sizeable benefits of
expansionary-for-longer fiscal policy come at only limited cost under the assumption of full monetary
accommodation. Increases in debt as a share of potential GDP associated with the alternative fiscal
policies are small. The investigated fiscal rules first lead to savings prior to the GFC, thereby building
a small fiscal buffer. Afterwards, supportive fiscal policies, even the expansionary-for-longer versions,
yield substantial benefits to both real and nominal sides, which significantly alleviates the cost of the
increased expenditures. With policy rates being unresponsive, monetary policy keeps the servicing
cost of the sovereigns debt low. It also provides an additional accommodation, in the sense of
keeping rates unchanged against the background of higher output and inflation. The findings of
the simulations heavily rely on the assumption that policy-makers know in real time the current
estimates of the output gap and are able to adjust policies accordingly. Given the extent of the
revisions to the output gap, accurate fiscal policy fine-tuning is very difficult in practice.
ECB Working Paper Series No 2623 / December 2021
17
Figure 2: Historical counterfactual simulations of various fiscal rules with exogenous monetary policy
-2
0
2
2003 2006 2009 2012 2015 2018
Output Gap (% of Pot. GDP)
-10
-5
0
5
2003 2006 2009 2012 2015 2018
Cum. Output Loss wrt 02Q1 (% of Pot. GDP)
-1
0
1
2
3
2003 2006 2009 2012 2015 2018
Inflation (%)
0
1
2
3
4
5
2003 2006 2009 2012 2015 2018
Interest Rate (%)
0
1
2
3
4
5
2003 2006 2009 2012 2015 2018
10Y long-term rate (%)
-8
-6
-4
-2
0
2003 2006 2009 2012 2015 2018
Budget Balance (% of Pot.
GDP)
65
70
75
80
85
90
2003 2006 2009 2012 2015 2018
Gov. Debt (% of P
ot. GDP)
Estimated Countercyclical Exp.-for-longer I Exp.-for-longer II Exp.-for-longer III
Sources: ECB-BASE simulations.
Notes: "Estimated" fiscal rule reproduces the observed data. The expansionary-for-longer fiscal rules presented in
the context of the historical exercise are formulated on the basis of the nominal approach. Rules bringing equivalent
outcomes can be devised following the real approach (see the demonstration for the post-pandemic horizon, Subsection
4.2).
ECB Working Paper Series No 2623 / December 2021
18
3.2 Fiscal rules with endogenous monetary policy
The sizeable macroeconomic effects of fiscal policy in Subsection 3.1 are conditional on fully accom-
modative monetary policy. The assumption of exogenous monetary policy implies that the central
bank undertakes the same measures as observed in the past irrespective of inflation and output gap
outcomes. Relaxing this assumption, namely that the central bank reacts to more positive macroe-
conomic outcomes brought by an alternative fiscal policy (for instance, by following a Taylor rule)
may be seen as more realistic and it changes the picture materially.
The simulations indicate that for the efficacy of fiscal rules full accommodation of monetary
policy is crucial. In a configuration with endogenous monetary policy, the central bank responds
to the macroeconomic developments according to the Taylor rule. Prior to the GFC, the policy
rate in the simulations remains below the baseline. Subsequently, given the improved economic
conditions, the rate is above baseline and remains there also during the second downturn. The
monetary policy reaction has substantial consequences for the efficacy of the investigated fiscal rules
in our simulations. More concretely, the extent to which fiscal policy reduces output gap fluctuations
is more limited compared to the case with full monetary accommodation (see Figure 3). None of
the fiscal rules eliminates the crisis-related accumulated output losses at the end of the simulation
horizon. Moreover, virtually no gains from the alternative fiscal policy rules are visible for inflation.
With fiscal support in place the monetary policy rate reaches the ELB significantly later than
in the data (i.e. in late 2017 rather than in mid-2015). In this context, the alternative fiscal rules
create ample room for monetary policy. The expansionary-for-longer fiscal rules start making a
difference only during the last part of the simulation period. This is because the activation of
the augmented gap is conditional on the central bank being at the ZLB (see the explanations in
Subsection 2.2). In this context, there are no substantial changes to government expenditure and
no material implications for economic outcomes compared to the countercyclical rule.
Endogenous monetary policy also affects the size of fiscal cost of the alternative fiscal rules. Prior
to the crisis, interest rates are lower than observed in the data, therefore contributing to the build-up
of a fiscal buffer. Following the GFC this tendency is reverting, however. The less accommodative
stance of monetary policy gradually increases the servicing cost of government debt. This, together
with additional expenditure and limited macroeconomic benefits, brings the debt-to-GDP ratio to
ECB Working Paper Series No 2623 / December 2021
19
levels noticeably exceeding the observed values.
ECB Working Paper Series No 2623 / December 2021
20
Figure 3: Historical counterfactual simulations of various fiscal rules with endogenous monetary
policy following a standard Taylor rule
-2
0
2
2003 2006 2009 2012 2015 2018
Output Gap (% of Pot.
GDP)
-10
-5
0
5
2003 2006 2009 2012 2015 2018
Cum. Output Loss wrt 02Q1 (%
of Pot. GDP)
-1
0
1
2
3
2003 2006 2009 2012 2015 2018
Inflation (%)
-1
0
1
2
3
4
5
2003 2006 2009 2012 2015 2018
Interest Rate (%)
0
1
2
3
4
5
2003 2006 2009 2012 2015 2018
10Y long-term rate (%)
-5.0
-2.5
0.0
2003 2006 2009 2012 2015 2018
Budget Balance (% of Pot. GDP)
70
80
90
100
2003 2006 2009 2012 2015 2018
Gov. Debt (% of Pot. GDP)
Estimated Countercyclical Exp.-for-longer I Exp.-for-longer II Exp.-for-longer III
Sources: ECB-BASE simulations.
Notes: "Estimated" fiscal rule reproduces the observed data. The expansionary-for-longer fiscal rules presented in
the context of the historical exercise are formulated on the basis of the nominal approach. Rules bringing equivalent
outcomes can be devised following the real approach (see the demonstration for the post-pandemic horizon, Subsection
4.2).
ECB Working Paper Series No 2623 / December 2021
21
The deterministic simulation presented hitherto evaluate the policy mix in a ceteris paribus
environment assuming that all shocks and residuals remain at the values identified by inverting
the baseline model. One way to evaluate the robustness of the results is to conduct stochastic
simulations. By drawing from model residuals and repeating the simulations multiple times the
analysis incorporates the effects of uncertainty and possible model misspecifications.
22
The depicted
means of the stochastic distributions under the counterfactual policy experiments show a picture
consistent with the counterfactual scenarios described above (see Figure 4; more details on stochastic
simulations, including the occurrences of risk events, is given in Section 4). The differences between
stochastic means across various scenarios very much resemble those of the deterministic simulations.
The property that the means of the stochastic simulations are situated below the deterministic
simulation is due to existence of the ELB. For those paths, where the interest rate is constrained by
the ELB, particularly negative paths for output and inflation are more frequently observed. This
induces a negative bias in the distribution of output and inflation. Non-standard monetary policy
dampens the negative outcomes but it cannot fully compensate for the lack of the interest rate
instrument during ELB episodes. In this environment, alternative fiscal rules improve the outcomes
significantly when it comes to the output gap (see Figure 4, the difference between the blue/ yellow
lines and the other lines) and inflation.
22
The residuals of the equations capture the part of the observed variables that cannot be explained by the structure
of the equations.
ECB Working Paper Series No 2623 / December 2021
22
Figure 4: Stochastic simulations of various fiscal and monetary policy rules
-5.0
-2.5
0.0
2.5
5.0
2004 2007 2010 2013 2016 2019
Output Gap (% of Pot. GDP)
-2.5
0.0
2.5
2004 2007 2010 2013 2016 2019
Inflation (%)
0.0
2.5
5.0
2004 2007 2010 2013 2016 2019
Interest Rate (%)
60
80
100
120
140
2004 2007 2010 2013 2016 2019
Gov. Debt (% of Pot. GDP)
Baseline
TR & Estimated
TR & Countercyclical
TR & Exp.-for-longer II
Low-for-longer II & Coun
tercyclical
Low-for-longer III &
Exp.-for-longer III
Sources: ECB-BASE simulations.
Notes: The confidence bands are based on stochastic simulations with the baseline policy rules. The bands are based
on 2.5% and 97.5% percentiles. The alternative rules are presented by the mean of the stochastic simulations to
maintain readability.
4 Post-pandemic perspective
By conducting simulations over an extended horizon until 2030, we investigate how different con-
figurations of fiscal and monetary policy affect the expected medium-term macroeconomic outlook.
The starting point for the exercise is the construction of a reference baseline with fiscal and monet-
ary policy rules that are consistent with the existing institutional arrangements and the dynamics
observed in the past (i.e. the estimated fiscal rules and the Taylor rule specified in Subsection 2.1).
Subsequently, we vary the rules (for both fiscal and monetary policy) and assess how their different
combinations perform relative to the baseline.
The reference baseline is broadly consistent with the Eurosystem projections (the December 2020
exercise, see ECB (2020) for the results). We complement the set of projected variables published
ECB Working Paper Series No 2623 / December 2021
23
by the ECB, which does not include the potential output, with the potential output of the European
Commission. The projected variables are reproduced by the model until the end of their forecast
horizon (i.e. end-2023 for the Eurosystem and end-2022 for the European Commission). Afterwards
the figures are model-based.
To construct post-2023 baseline we use information contained in the model residuals. Rather
than imposing zero residuals in the calculations the residual in-sample information is considered.
Specifically, it is assumed that residuals consist of a systematic and idiosyncratic component. The
former is derived from an auxiliary state space model and used for the post-2023 simulation (the
appendix of Angelini et al. (2019) contains a description of the methodology). This approach greatly
improves the realism of the medium-term baseline compared to the approach based on zero residuals.
In the baseline the output gap is nearly closed already within the Eurosystem forecast horizon
and remains close to zero thereafter (see Figure 5). The narrowing of the inflation gap with respect
to the 2% target occurs at significantly lower speed in comparison to the closure of the output gap.
The short-term interest rate remains at the ELB until the end of the Eurosystem forecast horizon
and then lifts off following the Taylor rule. Public finances normalise gradually, following the grave
consequences of the COVID crisis. Specifically, the budget balance-to-GDP ratio converges towards
a balanced position and the debt-to-GDP ratio starts falling, albeit from an elevated level.
ECB Working Paper Series No 2623 / December 2021
24
Figure 5: Medium-term reference baseline
-15
-10
-5
0
2018 2021 2024 2027 2030
Output Gap (% of Pot. GDP)
-15
-10
-5
0
2018 2021 2024 2027 2030
Cum. Output Loss wrt 19Q4 (% of Pot. GDP)
0.0
0.5
1.0
1.5
2.0
2018 2021 2024 2027 2030
Inflation (%)
-0.5
0.0
0.5
1.0
2018 2021 2024 2027 2030
Interest Rate (%)
0.0
0.5
1.0
2018 2021 2024 2027 2030
10Y long-term rate (%)
-10.0
-7.5
-5.0
-2.5
0.0
2018 2021 2024 2027 2030
Budget Balance (% of Pot.
GDP)
85.0
87.5
90.0
92.5
95.0
97.5
2018 2021 2024 2027 2030
Gov. Debt (% of P
ot. GDP)
Sources: ECB-BASE simulations.
Notes: The baseline presented above is broadly consistent with the Eurosystem projections for the variables that are
made available to the public (see ECB (2020)). The output gap, which is not published, is based on the potential
output of the European Commission (Spring 2021 Economic Forecast). In the post-forecast period the figures are
model-based.
ECB Working Paper Series No 2623 / December 2021
25
4.1 Fiscal and monetary policy rules in isolation
Before analysing combinations of the rules, we look at the effects of fiscal and monetary policy rules
in isolation. This means that a change to fiscal rules and its macroeconomic consequences will be
ignored by monetary policy (i.e. monetary policy is exogenous and kept at its baseline values).
Similarly, when analysing monetary policy rules, we assume no reaction from the side of fiscal policy
(i.e. fiscal policy exogenous). While this set-up is hardly realistic it helps to understand the economic
impact of fiscal and monetary policy alone without mixing the policies and their effects.
Fiscal policy rules can significantly alter the macroeconomic outcomes compared to the baseline.
In particular, a countercyclical fiscal policy stimulates output leading to a very fast output gap
closure and it lifts inflation by a non-negligible margin (see Figure 6). The expansionary-for-longer
fiscal rules bring inflation back to target still within the projection horizon. At the same time, they
significantly reduce the cumulative output gap losses. This involves, however, a sizeable amount
of additional stimulus compared to the baseline as indicated by the deterioration in the budget
balance. Moreover, it also necessitates the tolerance of overheating the euro area economy (output
gap reaching 2% of GDP in the coming years). While the additional stimulus does increase the
debt-to-GDP ratio in a few years’ time it does not raise it in the medium term in 2030.
ECB Working Paper Series No 2623 / December 2021
26
Figure 6: Post-pandemic simulations of various fiscal policy rules in isolation.
-4
-2
0
2
2018 2021 2024 2027 2030
Output Gap (% of Pot. GDP)
-15
-10
-5
0
2018 2021 2024 2027 2030
Cum. Output Loss wrt 19Q4 (% of Pot. GDP)
0.0
0.5
1.0
1.5
2.0
2018 2021 2024 2027 2030
Inflation (%)
-0.5
0.0
0.5
1.0
2018 2021 2024 2027 2030
Interest Rate (%)
0.0
0.5
1.0
2018 2021 2024 2027 2030
10Y long-term rate (%)
-10.0
-7.5
-5.0
-2.5
0.0
2018 2021 2024 2027 2030
Budget Balance (% of Pot.
GDP)
85
90
95
100
2018 2021 2024 2027 2030
Gov. Debt (% of P
ot. GDP)
Estimated Countercyclical Exp.-for-longer I Exp.-for-longer II Exp.-for-longer III
Sources: ECB-BASE simulations.
Notes: "Estimated" fiscal rule reproduces the reference baseline presented in Figure 5.
ECB Working Paper Series No 2623 / December 2021
27
Model simulations also reveal that interest rate rules can alter the expected paths for macroeco-
nomic variables, albeit only to a limited extend.
23
Both real output and inflation improve slightly
with more accommodative monetary policy rules (see Figure 7). The reason for limited gains lies in
the limited monetary policy space in the baseline. In this context, the additional rules that we con-
sider make a relatively small difference. The short-term interest rate in the outer years is lower only
by a maximum of around 0.7 percentage point. Furthermore, with backward-looking expectations
in the model there is no expectation channel of monetary policy. In contrast to forward-looking
models, only the realised changes in interest rates matter but not the expected path of interest rates
in the future. In the simulations, the non-standard monetary policy is modelled through add-ons
(see the description in Subsection 2.1) which are kept endogenous. For a complete assessment of the
role of monetary policy, the impact of forward guidance would need to be included.
23
The investigation of monetary policy rules in isolation involves shutting down the reaction of fiscal policy. This
still involves an active fiscal block (i.e. no exogenisation of the entire fiscal block). In particular, changes in tax
bases translate into corresponding changes in tax revenue. Moreover, all fiscal identities, including the budget balance
and debt accumulation remain fully operational. In practice, shutting down the reaction of fiscal policy does not
materially change the outcomes compared to the estimated fiscal rules, which embed very little reaction to the cycle
(as discussed in Subsection 2.1).
ECB Working Paper Series No 2623 / December 2021
28
Figure 7: Post-pandemic simulations of various monetary policy rules in isolation
-3
-2
-1
0
2018 2021 2024 2027 2030
Output Gap (% of Pot. GDP)
-15
-10
-5
0
2018 2021 2024 2027 2030
Cum. Output Loss wrt 19Q4 (% of Pot. GDP)
0.0
0.5
1.0
1.5
2.0
2018 2021 2024 2027 2030
Inflation (%)
-0.5
0.0
0.5
1.0
2018 2021 2024 2027 2030
Interest Rate (%)
0.0
0.5
1.0
2018 2021 2024 2027 2030
10Y long-term rate (%)
-10.0
-7.5
-5.0
-2.5
0.0
2018 2021 2024 2027 2030
Budget Balance (% of Pot.
GDP)
85
90
95
2018 2021 2024 2027 2030
Gov. Debt (% of P
ot. GDP)
TR Low-for-longer I Low-for-longer II Low-for-longer III
Sources: ECB-BASE simulations.
Notes: "TR" monetary rule reproduces the reference baseline presented in Figure 5.
ECB Working Paper Series No 2623 / December 2021
29
4.2 Combinations of fiscal and monetary policy rules
To have a realistic assessment of the effectiveness of the two policies we run simulations under
endogenous fiscal and monetary rules. We start with the analysis of various fiscal rules where the
monetary policy reacts in a usual manner following a standard Taylor rule.
The gains from fiscal policy rules combined with a standard monetary policy reaction, that is not
providing any further accommodation, are limited. While alternative fiscal rules initially provide a
significant boost to real activity and to prices the effect is short-lived (see Figure 8). This is because
the standard Taylor rule promptly reacts to the macroeconomic improvements. As such, the benefits
of fiscal policy are eliminated by an ‘uncooperative’ monetary policy tightening. Furthermore,
interest rate increases lead to a situation in which the governments face higher financing costs, which
gradually propagate into the overall debt servicing cost. This brings detrimental consequences for
the debt-to-GDP ratio and makes the fiscal policy very costly.
ECB Working Paper Series No 2623 / December 2021
30
Figure 8: Post-pandemic simulations of various fiscal rules with endogenous monetary policy follow-
ing the standard Taylor rule
-4
-3
-2
-1
0
1
2018 2021 2024 2027 2030
Output Gap (% of Pot.
GDP)
-15
-10
-5
0
2018 2021 2024 2027 2030
Cum. Output Loss wrt 19Q4 (%
of Pot. GDP)
0.0
0.5
1.0
1.5
2.0
2018 2021 2024 2027 2030
Inflation (%)
-0.5
0.0
0.5
1.0
2018 2021 2024 2027 2030
Interest Rate (%)
0.0
0.5
1.0
2018 2021 2024 2027 2030
10Y long-term rate (%)
-10.0
-7.5
-5.0
-2.5
0.0
2018 2021 2024 2027 2030
Budget Balance (% of Pot. GDP)
85
90
95
100
105
2018 2021 2024 2027 2030
Gov. Debt (% of Pot. GDP)
Estimated Countercyclical Exp.-for-longer I Exp.-for-longer II Exp.-for-longer III
Sources: ECB-BASE simulations.
Notes: "Estimated" fiscal rule reproduces the reference baseline presented in Figure 5.
ECB Working Paper Series No 2623 / December 2021
31
To uncap the potential of fiscal policy, more accommodative monetary policy rules are essential.
With monetary policy still reacting but working in concert with fiscal policy the macroeconomic
benefits are significantly more tangible.
24
Fiscal policy can provide a significant boost to output
and inflation when monetary policy delivers additional accommodation in parallel (see Figure 9 and
10). In our illustration, monetary policy, in contrast to the standard Taylor rule reaction, does
not fight back the benefits of fiscal policy but rather tries to create favourable conditions for it by
lifting the rates only gradually. This makes the macroeconomic gains of fiscal policy sizeable and
long-lasting. However, only with a considerable additional spending and significant overheating of
the economy, a combination of expansionary-for-longer fiscal policy and low-for-longer monetary
policy has a chance to bring inflation close to the 2% target during the simulation horizon. This
scenario halves the output losses accumulated amid the COVID crisis. Also, no sharp monetary
policy tightening means no abrupt increases of the financing cost for the governments. This makes
the application of fiscal policy significantly less costly compared to the situation in which the central
bank strictly follows the standard Taylor rule.
Both formulations of expansionary-for-longer fiscal policy (i.e nominal and real approach) bring
virtually the same macroeconomic outcomes (compare Figure 9 and Figure 10). In this context, a
fiscal authority does not need to choose between the two specifications. Rather it needs to make a
choice how to communicate an expansionary-for-longer fiscal policy. The nominal-based specification
explicitly acknowledges the role of fiscal policy in reaching the inflation target at the time when the
central bank is constrained. The real-based specification emphasises the objective to recover some of
the output losses. At the current juncture both aims coincide and require the same course of fiscal
policy.
24
The lack of any monetary policy reaction could be interpreted as a case of subordination of monetary policy to
the needs of fiscal policy or fiscal dominance. In the analysis we do not consider this theoretical constellation as it
remains at odds with the prevailing institutional arrangement.
ECB Working Paper Series No 2623 / December 2021
32
Figure 9: Post-pandemic simulations of fiscal and monetary policy rules working in concert
(expansionary-for-longer fiscal policy specified following the nominal approach)
-3
-2
-1
0
1
2
2018 2021 2024 2027 2030
Output Gap (% of Pot.
GDP)
-15
-10
-5
0
2018 2021 2024 2027 2030
Cum. Output Loss wrt 19Q4 (%
of Pot. GDP)
0.0
0.5
1.0
1.5
2.0
2018 2021 2024 2027 2030
Inflation (%)
-0.5
0.0
0.5
1.0
2018 2021 2024 2027 2030
Interest Rate (%)
0.0
0.5
1.0
2018 2021 2024 2027 2030
10Y long-term rate (%)
-10.0
-7.5
-5.0
-2.5
0.0
2018 2021 2024 2027 2030
Budget Balance (% of Pot. GDP)
85
90
95
100
2018 2021 2024 2027 2030
Gov. Debt (% of Pot. GDP)
TR & Countercyclical
Low-for-longer I & Exp.-for-longer
I
Low-for-longer II & Exp.-for-longer II
Low-for-longer III &
Exp.-for-longer III
Sources: ECB-BASE simulations.
ECB Working Paper Series No 2623 / December 2021
33
Figure 10: Post-pandemic simulations of fiscal and monetary policy combinations working in concert
(expansionary-for-longer fiscal policy specified following the real approach)
-3
-2
-1
0
1
2
2018 2021 2024 2027 2030
Output Gap (% of Pot.
GDP)
-15
-10
-5
0
2018 2021 2024 2027 2030
Cum. Output Loss wrt 19Q4 (%
of Pot. GDP)
0.0
0.5
1.0
1.5
2.0
2018 2021 2024 2027 2030
Inflation (%)
-0.5
0.0
0.5
1.0
2018 2021 2024 2027 2030
Interest Rate (%)
0.0
0.5
1.0
2018 2021 2024 2027 2030
10Y long-term rate (%)
-10.0
-7.5
-5.0
-2.5
0.0
2018 2021 2024 2027 2030
Budget Balance (% of Pot. GDP)
85
90
95
100
2018 2021 2024 2027 2030
Gov. Debt (% of Pot. GDP)
TR & Countercyclical
Low-for-longer I & Exp.-for-longer
I
Low-for-longer II & Exp.-for-longer II
Low-for-longer III &
Exp.-for-longer III
Sources: ECB-BASE simulations.
ECB Working Paper Series No 2623 / December 2021
34
Figure 11: The effects of various combinations of fiscal and monetary rules on output gap and
inflation
(a) Output gap
(% of GDP, 2021q3-25q4 average)
TR
Lo
w-for-longer I
Lo
w-for-longer I
I
Low-for-longer I
II
Estimated
Countercyclical
Exp.-for-longer I
Exp.-for-longer II
Exp.-for-longer III
1.06 1 0.98 0.98
0.58 0.49 0.43 0.41
0.32 0.14
0.13 0.32
0.27 0.06
0.27 0.61
0.23
0.01 0.36 0.78
Monetary Policy
Fiscal Policy
1
0.6
0.2
0.2
0.6
(b) Inflation
(%, 2021q3-25q4 average)
TR
Lo
w-for-longer I
Low-for-longer II
Lo
w-for-longer III
Estimated
Countercyclical
Exp.-for-longer I
Exp.-for-longer II
Exp.-for-longer III
1.37 1.38 1.39 1.39
1.48 1.51 1.52 1.53
1.53 1.58 1.65 1.7
1.54 1.59 1.68 1.77
1.54 1.61 1.7 1.8
Monetary Policy
Fiscal Policy
1.4
1.5
1.6
1.7
1.8
Sources: ECB-BASE simulations.
Notes: The intersection of the estimated fiscal rule (Estimated) and the Taylor monetary policy rule (TR) corres-
ponds to the baseline. Comparing the outcomes to the baseline is a way to assess the effectiveness of various policy
constellations.
A more detailed look at all simulation scenarios reveals that monetary policy uncaps the potential
of fiscal policy. The more accommodative monetary policy is, the higher are the output gains
associated with fiscal rules (see Figure 11, subfigure (a), vertical gains are bigger for Expansionary-
for-longer III scenario compared to TR scenario). The positive average output gap of 0.8% of GDP
associated with the most favourable policies compares to -1.1% of GDP in the baseline and implies
around 8% of additional output by end-2025. This addresses the large cumulative output losses that
arose amid the COVID crisis. Similarly, inflation benefits most from the alternative fiscal rules under
the most accommodative monetary policy arrangement (see Figure 11, subfigure (b)). Concretely,
while the average inflation can benefit from the most expansionary-for-longer fiscal policy by less
than 0.2 percentage points under the Taylor rule arrangement the gains exceed 0.4 percentage points
under the most accommodative low-for-longer monetary policy. With this outcome the inflation
reaches 1.8% on average, which is closest to the target among all constellations we consider in our
analysis.
ECB Working Paper Series No 2623 / December 2021
35
It is not only that monetary policy uncaps the potential of fiscal policy but also fiscal policy
makes monetary policy more powerful. While the potency of monetary policy in the absence of
expansionary-for-longer fiscal policies is relatively limited (see Figure 11, subfigures (a) and (b)
horizontal gains of the first row) under the assumption of expansionary-for-longer fiscal policy mon-
etary policy can still noticeably increase output and inflation (see Figure 11, subfigures (a) and (b),
horizontal gains of the last row). This occurs because fiscal policy with its power to stimulate the
economy alleviates the ELB and creates space for additional interest rate stimulus.
The model simulations suggest that the largest increases in output and inflation can be obtained
when both fiscal and monetary policy work hand in hand. Looking at the heatmaps summarising the
results, it becomes apparent that adjusting both policies simultaneously brings the biggest benefits
(see Figure 11, subfigures (a) and (b), gains by moving along a diagonal towards the right lower
corner). None of the policies on its own can perform so well. Against this background, fiscal and
monetary policy reinforce each other and exhibit the properties of complementarity.
Another conclusion brought by the model simulations is that both policies mutually create space
for each other. In particular, fiscal policy can alleviate some of the burden placed on monetary policy.
With the expansionary-for-longer fiscal policy the interest rates are on average higher compared to
the estimated fiscal rule (see Figure 12, subfigure (a)). This leads to a situation in which the central
bank is able to lift the interest rate earlier than in the baseline. The exit from the undesirable ZLB
environment materialises in 2023-24 rather than in 2026-27 (see Figure 12, subfigure (b)).
ECB Working Paper Series No 2623 / December 2021
36
Figure 12: The effects of various combinations of fiscal and monetary rules on the short-term interest
rate and the timing of the ZLB exit
(a) Short-term interest rate
(%, 2021q3-25q4 average)
TR
Lo
w-for-longer I
Lo
w-for-longer II
Low-for-longer I
II
Estimated
Countercyclical
Exp.-for-longer I
Exp.-for-longer II
Exp.-for-longer III
0.36 0.46 0.53 0.54
0.1 0.29 0.45 0.52
0.13 0
0.14 0.34
0.2 0.07
0.02 0.21
0.24 0.13 0.06
0.06
Monetary Policy
Fiscal Policy
0.5
0.4
0.3
0.2
0.1
0
0.1
0.2
(b) Timing of the ZLB exit
(year during which the rate becomes positive)
TR
Lo
w-for-longer I
Low-for-longer I
I
Lo
w-for-longer III
Estimated
Countercyclical
Exp.-for-longer I
Exp.-for-longer II
Exp.-for-longer III
2026 2026 2027 2027
2024 2025 2026 2027
2023 2023 2024 2025
2023 2023 2024 2025
2023 2023 2023 2024
Monetary Policy
Fiscal Policy
2023
2024
2025
2026
2027
Sources: ECB-BASE simulations.
Notes: The intersection of the estimated fiscal rule (Estimated) and the Taylor monetary policy rule (TR) corres-
ponds to the baseline. Comparing the outcomes to the baseline is a way to assess the effectiveness of various policy
constellations.
In the same vein, monetary policy creates space for fiscal policy, which takes place through two
mechanisms in the model. First, accommodative monetary policy does not fight back the positive
effects of fiscal stimuli and, as such, it allows the budget to benefit from the improved macroeconomic
conditions. Second, by holding back interest rate increases the central back ensures favourable
financing conditions for the government, thereby effectively keeping the cost of debt servicing in
check. In the model simulations, the increase in debt-to-GDP ratio under the most accommodative
low-for-longer monetary policy is smaller than under the Taylor rule (see Figure 13, subfigure (b)).
This occurs even though the amount of additional expenditure is noticeably higher (see Figure 13,
subfigure (a)).
25
25
The result that the fiscal expansion under the low-for-longer monetary policy is more sizeable than under the
Taylor rule regime relates to the set-up of the expansionary-for-longer fiscal policy rules (see Subsection 2.2). The
expansionary-for-longer fiscal rules, by definition, only make a difference if interest rates are negative. Under low-for-
longer monetary policy the central banks holds back with interest rate increases, which extends the duration of the
ZLB period and makes the extraordinary support embedded in the expansionary-for-longer fiscal policy activated.
ECB Working Paper Series No 2623 / December 2021
37
Figure 13: The effects of various combinations of fiscal and monetary rules on the primary expendit-
ure and the government debt
(a) Additional primary spending relative to the baseline
(% of GDP, cumulated over 2021q3-25q4)
TR
Lo
w-for-longer I
Lo
w-for-longer II
Low-for-longer I
II
Estimated
Countercyclical
Exp.-for-longer I
Exp.-for-longer II
Exp.-for-longer III
0 0 0 0
3.4 3 2.8 2.7
6.2 6.4 6.7 6.9
7 7.3 8.2 8.9
7.6 8.1 9.3 10.7
Monetary Policy
Fiscal Policy
0
2
4
6
8
10
(b) Government debt-to-GDP ratio for analysed scenarios
(%, end-2025q4)
TR
Lo
w-for-longer I
Lo
w-for-longer II
Low-for-longer I
II
Estimated
Countercyclical
Exp.-for-longer I
Exp.-for-longer II
Exp.-for-longer III
95.4 95 94.8 94.8
98.5 97 96.1 95.8
101.9 100.7 99.2 98.1
102.9 101.8 100.8 99.5
103.7 102.7 101.9 101.3
Monetary Policy
Fiscal Policy
95
97
99
101
103
Sources: ECB-BASE simulations.
Notes: The intersection of the estimated fiscal rule (Estimated) and the Taylor monetary policy rule (TR) corres-
ponds to the baseline. Comparing the outcomes to the baseline is a way to assess the effectiveness of various policy
constellations.
The extension of the baseline until 2030, underlying the above discussed simulations, is based on
a number of assumptions and it is subject to uncertainty. The stochastic simulations allow to assess
uncertainty and its effects on the baseline and on the counterfactual simulations.
26
Stochastic simulations also allow to conduct risk analysis through the occurrence of undesirable
events, from the point of view of monetary or fiscal policy. We define these events as hitting the
ELB, low inflation episodes, enduring deep recessions or recording high debt-to-GDP ratios.
27
Table
1 shows the frequency of these events for the two subsamples under consideration. In both cases,
the introduction of the alternative fiscal and monetary rules has an impact on the frequency of
26
See also the description of the stochastic simulations in Section 3. The model for the stochastic simulations differs
slightly from the model in the deterministic simulations. First, an ELB at -50bp is introduced also for the long-term
rate to avoid negative realisations of long-term rates in the lower part of the distribution. Second, in the baseline and
deterministic simulations, the asset purchases are calibrated taken into account APP and PEPP (Pandemic emergency
purchase program). For the stochastic simulation the calibration was slightly reduced to tone down the effects of asset
purchases for the general case without PEPP.
27
The incidences of risk events are derived by calculating the number of simulation points inside the stochastic
distribution where a certain defined event is fulfilled, and relating this number to the total number of simulation
points.
ECB Working Paper Series No 2623 / December 2021
38
occurrences of these risk events. Comparing the two subsamples shows that the number of ELB
incidences under the baseline specification in the historical period is significantly lower than during
the post-pandemic horizon. The differences are driven by the respective levels of interest rates in
the two samples, where higher interest rate levels make ELB events less likely. While the historical
sample starts from relatively high interest rates, the extended horizon is initiated at the ELB. A
similar argument holds for the occurrence of high debt events, which are more likely in the second
sample, because the initial debt level is already elevated. In comparison to the baseline with the
estimated fiscal rules and the Taylor rule, the introduction of the countercyclical fiscal policy makes
the adverse events, with the exception of high debt, less likely. The negative impact on debt is
related to the fact that the lack of coordination with monetary policy makes a fiscal stimulus more
costly. Once monetary policy becomes more accommodative (i.e. see low-for-longer policy rules) the
high debt incidence goes down in both subsamples. Introducing the low-for-longer monetary policy
rules, however, without adjusting fiscal policy results in an increase of the ELB occurrence, because
the ELB episodes are longer. The frequency of ELB episodes is reduced in the post-pandemic sample
when fiscal policy provides an additional stimulus.
A qualitative difference between the two samples relates to the occurrence of high debt incidences.
While in the historical sample the combination of expansionary-for-longer fiscal policy and low-for-
longer monetary policy is reducing the incidence frequencies for high debt, the opposite is true in
the extended scenario. Here expansionary-for-longer fiscal policy is leading to an increase of high
debt events. This is related to the properties of the extended horizon where both inflation and
output are below their target/natural level for almost all observations. In this setting, fiscal policy
provides continued support during a protracted period, driving up the debt level. Other mechanisms,
potentially leading to adverse repercussions of higher debt, are not in the model.
28
28
There are many proposals in the literature how to model the effect of fiscal policy and debt on macroeconomic
dynamics. Notable examples are a sovereign cost channel (Corsetti et al. (2013), the considerations about active and
passive fiscal and monetary policy (Leeper (1991)) or the analysis of government default (Mendoza and Yue (2012))
ECB Working Paper Series No 2623 / December 2021
39
Table 1: Incidence frequencies in stochastic simulations (% share of simulation episodes)
HISTORICAL ASSESSMENT until 2019 ELB Low inflation Deep recessions High debt
TR & Estimated 10.24 45.51 34.73 16.19
TR & Counter-cyc. 8.60 42.07 14.35 17.32
TR & Expansionary-for-longer III 3.14 40.45 12.71 18.49
Low-for-longer II & Counter-cyc. 15.14 39.22 13.06 10.47
Low-for-longer III & Expansionary-for-longer III 16.00 36.07 10.30 11.70
EXTENDED SCENARIO 2021 to 2030 ELB Low inflation Deep recessions High debt
TR & Estimated 38.66 37.00 26.91 22.94
TR & Counter-cyc. 19.81 27.14 5.50 47.20
TR & Expansionary-for-longer III 6.70 22.32 3.40 75.83
Low-for-longer II & Counter-cyc. 39.20 24.03 5.00 24.01
Low-for-longer III & Expansionary-for-longer III 17.28 13.44 5.42 63.88
Sources: ECB-BASE simulations.
Notes: The incidence rates are based on a number of periods fulfilling the following criteria within the 500 simulation
paths for the historical simulation or 2000 paths for the post-pandemic scenario.
29
ELB: interest rate at the ELB
Low inflation: inflation below 1.25%
Deep recessions: negative output gap of 2% of GDP or larger
High debt: debt-to-GDP ratio of above 100%
To illustrate the risks around the baseline, tail events are considered, showing that the fiscal-
monetary policy mix can stabilise the economy in negative tail events or positive tail events. To
construct the tail events, 100 paths with the most positive and 100 paths with the most negat-
ive realisations of output are selected. (see Figures 15 and 16 where the means of the selected
realisations under different policy rules are depicted). The pessimistic scenario is characterised by
strongly subdued demand, passing through to low inflation. It shows that fiscal stabilisation policies
stay effective in the lower tails of the distribution, while monetary policy is constrained by the
effective lower bound and can only contribute via non-standard measures. The strongly accom-
modative stance of fiscal policy in combination with low output growth and low inflation is however
boosting public expenditure, thereby leading to markedly increased debt-to-GDP ratios approaching
120%.
30
The rules effective in stabilising in the main scenario, show particularly high debt paths in
30
For the case of low-for-longer III and expansionary-for-longer III we can observe an increasing slope of the
government debt ratio in the latter part of the sample. This is due to the non-linearity implied by the ELB. While the
interest rate normalisation around 2024 reduces the ELB frequency, for later parts of the sample the ELB frequency
ECB Working Paper Series No 2623 / December 2021
40
the pessimistic scenario. This implies that stabilisation remains incomplete and inflation remains
significantly below the target. Only in the most expansionary scenario, inflation is temporarily
overshooting, triggering monetary tightening. The positive scenario is characterised by strong do-
mestic demand and significant price pressures leading to inflation rates approaching 2.5 percent. It
shows that the stabilisation rules switch their sign and bring the output gap to target from above.
Under the positive scenario fiscal revenues increase, expenditures are reduced, and nominal output
increases strongly. Consequently, the debt-to-GDP ratio stabilises fast under most combinations of
policy rules.
Figure 14: Post-pandemic stochastic simulations: baseline with variants
-15
-10
-5
0
2018 2021 2024 2027 2030
Output Gap (% of P
ot. GDP)
0
1
2
3
2018 2021 2024 2027 2030
Inflation (%)
0
1
2
3
2018 2021 2024 2027 2030
Interest Rate (%)
90
100
110
2018 2021 2024 2027 2030
Gov. Debt (% of P
ot. GDP)
Baseline
TR & Estimated
TR & Counter-cyclical
TR & Exp.-for-longer II
Low-for-longer II & Counter-cyclical
Low-for-longer III & Exp.-for-longer III
Sources: ECB-BASE simulations.
Notes: The shaded area depicts the 95 percent confidence interval, based on 2000 simulation paths using bootstrapped
residuals centred around the baseline. The lines represent the means.
increases again due to the widening of the distribution. In the tails of the distribution, very negative growth and
inflation paths, imply strongly expansionary fiscal policy and associated increases in public debt. For the respective
positive realisation, monetary policy is containing the high output realisations via interest rate increases.
ECB Working Paper Series No 2623 / December 2021
41
Figure 15: Post-pandemic stochastic simulations: pessimistic growth scenario
-15
-10
-5
0
2018 2021 2024 2027 2030
Output Gap (% of Pot. GDP)
0
1
2
3
2018 2021 2024 2027 2030
Inflation (%)
0
1
2
3
2018 2021 2024 2027 2030
Interest Rate (%)
80
90
100
110
120
2018 2021 2024 2027 2030
Gov. Debt (% of Pot. GDP)
Baseline
TR & Estimated
TR & Counter-cyclical
TR & Exp.-for-longer II
Low-for-longer II & Coun
ter-cyclical
Low-for-longer III &
Exp.-for-longer III
Sources: ECB-BASE simulations.
Notes: The pessimistic scenario is constructed by choosing the 100 most negative path realisations of output and
depicting the means of these paths and the respective paths of the other variables. See footnote for Figure 14 for
further information.
ECB Working Paper Series No 2623 / December 2021
42
Figure 16: Post-pandemic stochastic simulations: optimistic growth scenario
-15
-10
-5
0
2018 2021 2024 2027 2030
Output Gap (% of Pot. GDP)
0
1
2
3
2018 2021 2024 2027 2030
Inflation (%)
0
1
2
3
2018 2021 2024 2027 2030
Interest Rate (%)
90
100
110
2018 2021 2024 2027 2030
Gov. Debt (% of Pot. GDP)
Baseline
TR & Estimated
TR & Counter-cyclical
TR & Exp.-for-longer II
Low-for-longer II & Coun
ter-cyclical
Low-for-longer III &
Exp.-for-longer III
Sources: ECB-BASE simulations.
Notes: The optimistic scenario is constructed by choosing the 100 most positive path realisations of output and
depicting the means of these paths and the respective paths of the other variables. See footnote for Figure 14 for
further information.
5 Conclusions
Over the foreseeable future fiscal policy will have to play a key role in macroeconomic stabilisation
next to monetary policy. This will also apply to the euro area even though its fiscal architecture
is incomplete and fiscal policies can be expected to largely remain in the hands of national policy-
makers. Still, the existing imperfect set-up should not hinder analysis on desirable economic policies
in the EMU at the aggregate level. In the end, the fiscal counterpart to monetary policy is the
aggregate euro area fiscal stance.
In this paper we show that a consistently countercyclical fiscal policy in the past creates a fiscal
buffer in the good economic times and it is able to eliminate a large portion of the second downturn
in the euro area. In the future, the combination of the expansionary-for-longer fiscal policy and the
ECB Working Paper Series No 2623 / December 2021
43
low-for-longer monetary policy can be particularly powerful in addressing great challenges faced by
policy-makers, such as large output losses suffered by the euro economy amid the pandemic and
inflation persistently deviating from the target. Also, our analysis demonstrates that at the current
juncture fiscal and monetary policies reinforce each other and mutually create space for each other.
In general, if fiscal and monetary policy are coordinated and mutually supportive the real economy
can be stimulated and the inflation can be lifted towards its target more effectively and at a lower
cost in terms of the government debt and the ELB duration compared to a situation when the two
policies do not take account of each other.
The results of the macroeconomic simulations are affected by modelling choices and these should
be kept in mind when interpreting the conclusions of the paper. In particular, the ECB-BASE is a
model for the euro area. The aggregation misses important debt sustainability aspects determined
at the country level. Moreover, the simulations are specific to the considered periods. While a
strong link to the data makes the analysis relevant at the current juncture this comes at the cost of
loosing some generality. Also, in our model an increase in government debt does not lead to negative
repercussions. In reality, however, debt increases are usually costly in terms of future distortionary
taxes or even lead to high rollover risks. In models with rational expectations future consolidations
can limit the immediate impact of expansionary fiscal policy. Addressing these simplifications in the
model could alter the relatively optimistic conclusions of this paper.
ECB Working Paper Series No 2623 / December 2021
44
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Business Cycles. The Quarterly Journal of Economics 127 (2), 889–946.
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pp. 319–348. University of Chicago Press.
ECB Working Paper Series No 2623 / December 2021
47
A Government spending instruments over the cycle
Figure A.1: Government spending deviations from a trend (% of potential GDP, unless otherwise
stated)
-4
-2
0
2
4
-0.6
-0.3
0.0
0.3
0.6
2004 2007 2010 2013 2016 2019
Gov. Purchases Gap
-4
-2
0
2
4
-0.6
-0.3
0.0
0.3
0.6
2004 2007 2010 2013 2016 2019
Gov. Investment Gap
-4
-2
0
2
4
-0.6
-0.3
0.0
0.3
0.6
2004 2007 2010 2013 2016 2019
Gov. Transfers Gap
-4
-2
0
2
4
-0.6
-0.3
0.0
0.3
0.6
2004 2007 2010 2013 2016 2019
Gov. Compensation Gap
-4
-2
0
2
4
-0.6
-0.3
0.0
0.3
0.6
2004 2007 2010 2013 2016 2019
Gov. Subsidies Gap
Output Gap (lhs) Inflation Gap (pp, lhs) Fiscal Gap (rhs)
Sources: Own calculations based on ECB, Eurostat and European Commission data.
Notes: The chart illustrates deviations from a trend for spending components in the model and contrasts them with
the output gap and inflation gap. The size of the deviations is the largest for government purchases, government
investment and government transfers. The movements within the remaining two instruments are considerably more
muted. This observation provides an argument for using the three relatively elastic spending categories as stabilisation
instruments in our exercise.
ECB Working Paper Series No 2623 / December 2021
48
Table A.1: Coefficients on the output gap in estimated spending rules
Spending category Output gap coefficient
Gov. Purchases -0.01
Gov. Investment 0.00
Gov. Transfers -0.02
Gov. Compensation 0.01
Gov. Subsidies -0.00
Sources: ECB-BASE estimation based on 1999Q1-2019Q4 data.
Notes: The table presents the value of the estimated coefficients on the output gap in estimated fiscal rules described
in Subsection 2.1. The values of the coefficients are standardised so that they are comparable to each other even
though the size of spending categories differs significantly. The estimated figures are consistent with the illustration
in Figure A.1. Most notably, they are the most negative for categories that move in the opposite direction to the
output gap (see gov. transfers). Nevertheless, they are small compared to -0.1 value assumed in our countercyclical
rule.
B Detailed presentation of fiscal and monetary policy rules
Fiscal Policy rules
Estimated fiscal rule
g
t
= α(g
t1
g
T
t1
) + δg
T
t
+
2
X
k=1
ρ
k
g
tk
+ γ
Y
ˆ
Y
t
+ γ
B
(
B
t
¯
Y
t
P
t
¯
b) + ε
g
t
(B.1)
Where g
t
is log of actual spending (i.e. investments, purchases or transfers), g
T
t
is log of trend
spending,
ˆ
Y
t
is the real output gap,
B
t
¯
Y
t
P
t
is the debt ratio to nominal output,
¯
b is the debt target
and ε
g
t
the residual term.
Coefficients are estimated over 1999Q1-2019Q4 and the one associated with the output gap turns
out to be close to 0 (i.e. γ
Y
0).
Countercyclical fiscal rule
g
t
= α(g
t1
g
T
t1
) + δg
T
t
+
2
X
k=1
ρ
k
g
tk
+ γ
Y
ˆ
Y
t
+ γ
B
(
B
t
¯
Y
t
P
t
¯
b) + ε
g
t
(B.2)
Where γ
Y
0, which makes this rule different (i.e. countercyclical) compared to the estimated
one.
ECB Working Paper Series No 2623 / December 2021
49
Expansionary-for-longer fiscal rules
With i {nom, real},
g
t
= α(g
t1
g
T
t1
) + δg
T
t
+
2
X
k=1
ρ
k
g
tk
+ γ
Y
ˆ
Y
t
aug,i
+ γ
B
(
B
t
¯
Y
t
P
t
¯
b) + ε
g
t
(B.3)
Where γ
Y
0 and
ˆ
Y
t
aug,i
is the augmented output gap defined with the nominal or real approach.
Nominal approach (i = nom)
ˆ
Y
t
aug,nom
=
ˆ
Y
t
+ 1 [R
t
0]
ˆ
P
t
(B.4)
Where R
t
is the nominal short-term rate, and
ˆ
P
t
is the price gap calculated as a discounted
cumulation of inflation gaps (ˆπ
t
)
ˆ
P
t
=
X
k=0
β
k
ˆπ
tk
(B.5)
The higher the β coefficient the longer the memory of the cumulation process.
Exp.-for-longer I Exp.-for-longer II Exp.-for-longer III
β 0.9 0.925 0.95
Real approach (i = real)
ˆ
Y
t
aug,real
=
ˆ
Y
t
+ 1 [R
t
0]
ˆ
Y
add
t
(B.6)
Where R
t
is the nominal short-term rate, and
ˆ
Y
add
t
is the cumulative output shortfalls defined
as
ˆ
Y
add
t
= ρ
Y
add
ˆ
Y
add
t1
+
8
X
k=1
1
h
ˆ
Y
tk+1
0
i
a
k
ˆ
Y
tk+1
(B.7)
ECB Working Paper Series No 2623 / December 2021
50
ρ
Y
add
and a
k
coefficients are calibrated so that the real approach results in broadly the same like
the one calculated with the nominal approach. The importance of the past output shortfalls in the
formula (as judged by
8
P
k=1
a
k
) increases with the degree to which fiscal policy remains expansionary-
for-longer.
Exp.-for-longer I Exp.-for-longer II Exp.-for-longer III
8
P
k=1
a
k
0.056 0.064 0.070
Monetary Policy rules
Standard Taylor rule
R
t
= max
h
0.85R
t1
+ 0.15(r
+ ¯π
t
+
ˆ
Y
t
+ ( ¯π
t
π
)), 0.5
i
+ ε
R
t
(B.8)
Where r
is the natural interest rate, ¯π
t
the inflation,
ˆ
Y
t
is the real output gap, π
the inflation
target and ε
R
t
the residual term.
Low-for-longer monetary rules
Expansionary-for-longer monetary rules used in this paper correspond to average inflation targeting
rules and can be defined as follows
R
t
= max
h
0.85R
t1
+ 0.15(r
+ ¯π
t
+
ˆ
Y
t
+ T ( ¯π
t
(T year )
π
)), 0.5
i
+ ε
R
t
(B.9)
Where ¯π
t
(T year )
is the average inflation over (T year) period.
Low-for-longer I Low-for-longer II Low-for-longer III
(T year) 2 3 4
ECB Working Paper Series No 2623 / December 2021
51
Acknowledgements
We would like to thank Ettore Dorrucci, Marien Ferdinandusse, Sebastian Hauptmeier, Nadine Leiner-Killinger, Klaus Masuch, Leopold
von Thadden and Isabel Vansteenkiste for valuable comments.
The views expressed in this paper, as well as all errors and omissions, should be regarded as those of the authors and are not
necessarily those of the European Central Bank.
Krzysztof Bańkowski
European Central Bank, Frankfurt am Main, Germany; email: krzysztof.bank[email protected]
Kai Christoffel
European Central Bank, Frankfurt am Main, Germany; email: [email protected]
Thomas Faria
European Central Bank, Frankfurt am Main, Germany; email: [email protected].eu
© European Central Bank, 2021
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PDF ISBN 978-92-899-4910-1 ISSN 1725-2806 doi:10.2866/292369 QB-AR-21-114-EN-N