NBER WORKING PAPER SERIES
LARGE CHANGES IN FISCAL POLICY:
TAXES VERSUS SPENDING
Alberto F. Alesina
Silvia Ardagna
Working Paper 15438
http://www.nber.org/papers/w15438
NATIONAL BUREAU OF ECONOMIC RESEARCH
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Cambridge, MA 02138
October 2009
Prepared for Tax Policy and the Economy 2009. We thank Jeffrey Brown, Roberto Perotti, Matthew
Shapiro and other conference participants for useful comments and discussions. The views expressed
herein are those of the author(s) and do not necessarily reflect the views of the National Bureau of
Economic Research.
NBER working papers are circulated for discussion and comment purposes. They have not been peer-
reviewed or been subject to the review by the NBER Board of Directors that accompanies official
NBER publications.
© 2009 by Alberto F. Alesina and Silvia Ardagna. All rights reserved. Short sections of text, not to
exceed two paragraphs, may be quoted without explicit permission provided that full credit, including
© notice, is given to the source.
Large Changes in Fiscal Policy: Taxes Versus Spending
Alberto F. Alesina and Silvia Ardagna
NBER Working Paper No. 15438
October 2009, Revised January 2010
JEL No. H2,H3
ABSTRACT
We examine the evidence on episodes of large stances in fiscal policy, both in cases of fiscal stimuli
and in that of fiscal adjustments in OECD countries from 1970 to 2007. Fiscal stimuli based upon
tax cuts are more likely to increase growth than those based upon spending increases. As for fiscal
adjustments, those based upon spending cuts and no tax increases are more likely to reduce deficits
and debt over GDP ratios than those based upon tax increases. In addition, adjustments on the spending
side rather than on the tax side are less likely to create recessions. We confirm these results with simple
regression analysis.
Alberto F. Alesina
Department of Economics
Harvard University
Littauer Center 210
Cambridge, MA 02138
and NBER
Silvia Ardagna
Department of Economics
Harvard University
Littauer Center
Cambridge, MA 02138
1 Intr o duction
As a result of the scal response to the nancial crisis of 2007-2009 the US will
experience the largest increases in decits and debt accumulation in peacetime.
Virtually all other OECD countries will also face scal imbalances of various sizes.
After the large reduction in government decits of the nineties and early new cen-
tury, public nances in the OECD are back in the deep red.
Only a few months ago the ke y policy question was whether tax cuts or spend-
ing increases were a better recipe for the stimulus plan in the US and other countries
as well. By and large these decisions have been taken, and w e are in the process
of observing the results. The next question which governments all over the world
will face next year, assuming, as it seems likely, that a recovery next year will be
under way, is how to stop the gro wth of debt and return to more “normal” public
nances.
The rst question, namely whether tax cuts or spending increases are more
expansionary is a critical one, and economists strongly disagree about the answer.
It is fair to say that we know relatively little about the ef fect of scal policy on
growth and in particular about the so called scal multipliers, namely how much
one dollar of tax cuts or spending increases translates in terms of GDP. The issue is
very politically charged as well, since right of center economists and policymakers
believe in tax cuts and the left of center ones believe in spending increases. While
the differences are often rooted in different views about the role of government and
inequality, not so much about the size of scal multipliers, both sides also wish
to "sell" their prescription as growth enhancing and more so than the other policy.
Unfortunately both sides can’t be right at the same time!
As far as reduction of large public debts the lesson from history is reasonably
optimistic. Large debt/GDP ratios have been cut relatively rapidly by sustained
growth. This was the case of post WWII public debts in belligerent countries; it
was also the case of the US in the nineties when without virtually any increase in
tax rates or signicant spending cuts, a large decit turned in a large surplus.
1
In
the UK the debt over GDP ratio at the end of WWII was over 200 percent but that
country did not suffer a nancial crisis due to its historically credible scal stance
and the debt was gradually and relatively rapidly reduced. However, it would be
probably too optimistic to expect another decade like the nineties ahead of us;
that kind of sustained growth would certainly do a lot to reduce the debt/GDP
ratio but the lower growth which we will most likely experience will do much
less. Ination also has the effect of chipping away the real value of the debt but
it may be a medicine worse than the disease. While a period of controlled and
1
See Alesina (1998) for a discussion of the budget surplus in the nineties in the US.
2
moderate ination would have the potential to reduce the real value of outstanding
debt, pursuing such a strategy would run the risk of uncontrolled ination. It took a
sharp recession in the early eighties to eliminate the great ination of the seventies,
and the last thing we need is another major recession in the medium run. The post
WWI hyperinations are certainly not in the horizon, but we should keep them in
the back of our mind as an extreme case of debt induced runaway ination.
If growth alone cannot do it and inating away the debt carries substantial risks,
we are left with the accumulation of budget surpluses to reign in the debt in the next
several years in the post crisis era. But then the same question returns: is raising
taxes or cutting spending more likely to result in a stable scal outlook?
This is precisely what this papers is about. We focus upon large changes in
scal policy stance, namely large increase or reduction of budget decits and we
look at what effects they had on both the economy and the dynamics of the debt.
In particular, for the case of b udget expansions (increase in decits or reduction of
surpluses) we look at which have been more expansionary on growth. On scal
adjustments (decit reductions) we consider their effect on a medium term stabi-
lization/reduction of the debt over GDP level and their cost in terms of a downturn
in the economy. We focus only on large scal changes because we try to isolate
changes in scal policy which are policy induced as opposed to cyclical uctua-
tions of the decits, which in any event we try to cyclically adjust. Our method-
ology is rather simple. We identify episodes of large changes in scal policy. Ob-
viously the decision of when to engage is such policy changes is not exogenous to
the state of public nances and of the economy. But up to a point the decision of
whether to act upon the spending side or the revenue side is largely political and
due to bargaining amongst political and pressure groups. The uncertainty about
the size of scal multipliers make this discussion even less constrained by solid
economic arguments. Thus we cannot offer new measures of scal multipliers, but
we can look at what effects have different approaches (spending versus revenue
side) have had during and after large scal changes.
Our results suggest that tax cuts are more expansionary than spending increases
in the cases of a scal stimulus. For scal adjustments we show that spending cuts
are much more effective than tax increases in stabilizing the debt and avoiding
economic downturns. In fact, we uncover several episodes in which spending cuts
adopted to reduce decits have been associated with economic expansions rather
than recessions. We also investigate which components of taxes and spending af-
fect the economy more in these large episodes and we try uncov er channels running
through private consumption and/or investment.
The present paper is more directly related to several ones written in the early
nineties using a similar approach to ours. Giavazzi and Pagano (1990) were the rst
to argue that scal adjustments (decit reductions) large, decisive and on the spend-
3
ing side could be expansionary. This was the case of Ireland and Denmark in the
eighties which were the episodes studied by Giavazzi and Pagano (1990), but there
were others as then discussed and analyzed by Alesina and Ardagna (1998). The
same authors and Alesina and Perotti (1997) investigate various episodes of scal
adjustments reaching conclusions similar to that of the present paper. But in this
paper we hav e many more episodes and we use more compelling techniques. There
is quite a rich literature that studies the determinants and economic outcomes of
large scal adjustments. A non exhaustive-list includes Ardagna (2004), Giavazzi,
Jappelli and Pagano (2000), Huges and McAdam (1999), Lambertini and Tavares
(2000), McDermott and Wescott (1996), Von Hagen and Strauch (2001), Von Ha-
gen, Hughes, and Strauch (2002), and more recently, OECD (2008) and IMF
(2009). Theoretically, expansionary effects of scal adjustments can go through
both the demand and the supply side. On the demand side, a scal adjustment
may be expansionary if agents believe that the scal tightening generates a change
in regime that “eliminates the need for larger, maybe much more disruptive ad-
justments in the future” (Blanchard (1990)).
2
Current increases in taxes and/or
spending cuts perceived as permanent, by removing the danger of sharper and more
costly scal adjustments in the future, generate a positive wealth effect. Consumers
anticipate a permanent increase in their lifetime disposable income and this may
induce an increase in current private consumption and in aggregate demand. The
size of the increase in private consumption would depend, however, on the presence
or absence of “liquidity constrained” consumers. An additional channel through
which current scal policy can inuence the economy via its effect on agents’ ex-
pectations is the interest rate. If agents believe that the stabilization is credible and
avoids a default on government debt, they can ask for a lower premium on gov-
ernment bonds. Private demand components sensitive to the real interest rate can
increase if the reduction in the interest rate paid on government bonds leads to a
reduction in the real interest rate charged to consumers and rms. The decrease
in interest rate can also lead to the appreciation of stocks and bonds, increasing
agents’ nancial wealth, and triggering a consumption/investment boom.
On the supply side, expansionary effects of scal adjustments work via the la-
bor market and via the effect that tax increases and/or spending cuts have on the
indi vidual labor supply in a neoclassical model, and on the unions’ fall-back posi-
tion in imperfectly competitive labor markets (see Alesina and Ardagna (1998) and
Alesina et al. (2000) for a review of the literature). In the latter context, the compo-
sition of current scal policy (whether the decit reduction is achieved through tax
increases or through spending cuts) is critical for its effect on the economy. On the
one hand, a decrease in government employment reduces the probability of nding
2
For models that highlight this channel, see Bertola and Drazen (1993) and Sutherland (1997).
4
a job if not employed in the private sector, and a decrease in government wages
decreases the worker’s income if employed in the public sector. In both cases, the
reservation utility of the union members goes do wn and the wage demanded by
the union for private sector workers decreases, increasing prots, investment and
competitiveness. On the other hand, an increase in income taxes or social secu-
rity contributions that reduces the net wage of the worker leads to an increase in
the pre-tax real wage faced by the employer, squeezing prots,investment,and
competitiveness.
This is not the place to review in detail the large literature on the effect of s-
cal policy on the economy. It is worth mentioning that Romer and Romer (2007)
also follow an event approach even though they identify events of large discre-
tionary changes in scal policy in a very different way from ours. Using a variety
of narrative sources, they identify changes in the US federal tax legislation that
are undertaken either to solve an inherited budget decit problem or to achieve
long-run goals and estimate the effect of such changes on real output in a VAR
framew ork. They nd that an increase in taxation by 1% of GDP reduces output in
the next three years by a maximum of about 3% and that the effect is smaller when
the only changes in taxes considered are those taken to reduce past budget decits.
As Romer and Romer (2007), we also nd that tax increases are contractionary, but
the magnitudes of our results are difcult to compare to theirs. In our estimates, we
nd that a 1% increase in the cyclically adjusted tax re venue decreases real growth
by less than one-third of a percentage point. However, we estimate a very different
specication and, contrary to Romer and Romer (2007), our approach also controls
for changes in government spending undertaken to reduce budget decits as well
as for changes in taxation.
Blanchard and Perotti (2002) use structurally VAR techniques to identify ex-
ogenous changes in scal policy and estimate scal multipliers both on the tax and
on the spending side of the government. They nd that positive government spend-
ing shocks increase output, consumption and decrease investment, while positive
tax shocks hav e a negative effect on output, consumption and investment. Mount-
ford and Uhlig (2008) use a very different identication approach and, while they
also nd that both taxes and spending increases have a negative effect on private
investment (as previously shown by Alesina et al. (2002)), they show that spending
increases do not generate an increase in consumption and that decit-nanced tax
cuts are the most effective way to stimulate the economy. The result of a positive
effect of government spending shocks on private consumption is also challenged
by Ramey (2008). She nds that, capturing the timing of the news about govern-
ment spending increases with a narrative approach and not with delay as in a VAR
approach, consumption declines after increases in government spending. Our re-
sults on the negative correlation between both spending and tax increases on GDP
5
growth are clearly consistent with the results of these papers using quite different
methodological approaches than ours.
A substantial literature has investigated political and institutional effects on
scal policy and in particular on the propensity of different parties in different
institutional settings to prolong scal imbalances, or to reign them in promptly. On
delayed scal adjustments see Alesina and Drazen (1999), on politico institutional
effects, like the role of electoral laws, on the occurrence of loose or tight scal
policy see Persson and Tabellini (2003) and Milesi Ferretti, Perotti and Rostagno
(2002). Alesina Perotti and Tavares (1998) using an approach similar to that of
the present paper and based upon "episodes", investigate which parties are more
or less likely to run in scal stimuli or scal adjustments. One criticism that one
could raise to the literature on voting rules and institutions on scal imbalances is
that rules are not exogenous and third factors may indeed explain both the adoption
of certain voting rule (like proportional representation) and scal policy, a point
discussed in Alesina and Glaeser (2004) informally and Aghion Alesina and Trebbi
(2007) more formally. We do not pursue in the present paper this politico economic
analysis.
This paper is organized as follows. Section 2 discusses our data and the den-
ition of episode which we adopt. Section 3 presents basis statistics on the episodes
show ing rather striking results. Section 4 shows some regression analysis, which
although it has no pretence of having solved causality problems reinforces the re-
sults obtained by the simple statistics of Section 3. The last section concludes.
2 Data, Methodology and denitions
2.1 Methodology
Our approach is very simple. We identify major changes in scal policy, either
expansionary (decit increases or surplus reductions) or the opposite. Obviously
the decision about whether to engage in this policy changes is endogenous to the
state of the economy and of the nances Ho wever we assume that at least up to a
point the decision of whether or not to act on the spending side or the revenue side
of the government is dictated by political preferences and political bargain which
is, at least to a point, exogenous to the economy and generated by ideological or
policy preferences. Looking at the debates proceeding major scal changes, and
considering the high degree of uncertainty about the size of scal multipliers this
assumption holds some water. Thus our only emphasis is on the effects of different
composition of scal stimuli and adjustments. We cannot and do not compute the
size of scal multipliers. We only compare the effects of different compositions of
major scal changes.
6
2.2 Data and Sources
We use a panel of OECD countries for a maximum time period from 1970 to 2007.
The countries included in the sample are: Australia, Austria, Belgium, Canada,
Denmark, Finland, France, Germany, Greece, Ireland, Italy, Japan, Netherlands,
New Zealand, Norway, Portugal, Spain, Sweden, Switzerland, United Kingdom,
and United States. All scal and macroeconomic data are from the OECD Eco-
nomic Outlook Database no. 84.
Our approach identies episodes of large changes in the scal stance and stud-
ies the behavior of scal and macroeconomic variables around those episodes to
investigate whether different characteristics of scal packages are correlated with
dif ferent macroeconomic outcomes. More specically, we focus both on the size
of the scal packages (i.e.: the magnitude of the change of the government decit)
and on its composition (i.e.: the percentage change of the main government budget
items relative to the total change) and we investigate whether large scal stimuli
and adjustments that differ in size and composition are associated with booms or
economic recessions (as dened below) and whether governments that implement
dif ferent types of scal adjustments are successful / unsuccessful in reducing gov-
ernment debt.
We use a cyclically adjusted value of the scal variables to leave aside vari-
ations of the scal variables induced by business cycle uctuations. The cyclical
adjustment is based on the method proposed by Blanchard (1993). It is a simple
method and rather transparent, which corrects various component of the govern-
ment budget for year to year changes in the unemployment rate. More precisely,
the cyclically adjusted value of the change in a scal variable is the difference be-
tween a measure of the scal variable in period t computed as if the unemployment
rate were equal to the one in t 1 and the actual value of the scal variable in year
t 1.
3
We prefer this method to more complicated measures like those produced
by the OECD because the latter are a bit of a black box based upon many assump-
tions about scal multipliers upon which there is much uncertainty. Based on our
previous work (Alesina and Ardagna (1998)) we are condent that for the large
episodes which we consider the details of how to adjust for the cycle do not matter
much for the qualitative nature of the results. In fact, even not correcting at all
would give similar results.
4
3
To calculate the measure of the scal variable in period t as if the unemployment rate were
equal to the one in t 1, we follow the procedure in Alesina and Perotti (1995). Specically, for
eachcountryinthesample,weregressthescal policy variable as share of GDP, on a time trend
and on the unemployment rate. Then, using the coefcients and the residuals from the estimated
regressions, we predict what the value of the scal v ariable as a share of GDP in period t would have
been if the unemployment rate were the same as in the previous year.
4
More on this is available from the authors.
7
2.3 Denition of the episodes
To identify episodes of scal adjustments and scal stimuli we focus on large
changes of scal policy and use the following rule.
Denition 1 Fiscal adjustments and stimuli
Aperiodofscal adjustment (stimulus) is a year in which the cyclically ad-
justed primary balance improves (deteriorates) by at least 1.5 per cent of GDP.
These are rather demanding criteria, which rule out small, but prolonged, ad-
justments/stimuli. We have chosen them because we are particularly interested in
episodes which are very sharp and large and clearly indicate a change in the s-
cal stance. This denition misses scal adjustments and stimuli which are small
in each year but prolonged for several years. It would be quite difcult to come
up with a denition that captured the many possible pattern of multi years small
adjustments. Thus, the study of these episodes gives a clue on what happens with
sharp and brief changes in the scal stance.
We use the primary decit, (i.e.: the difference between current and capital
spending, excluding interest rate expenses paid on government debt, and total tax
re venue)
5
rather than the total decit, to av oid that episodes selected result from the
ef fect that changes in interest rates have on total government expenditures. Using
these criteria we try to focus as much as possible on episodes that do not result from
the automatic response of scal variables to economic growth or monetary pol-
icy induced changes on interest rates, but they should reect discretionary policy
choices of scal authorities. Needless to say, there can still be an endogeneity issue
related to the occurrence of scal adjustments and expansions, because, in princi-
ple, discretionary policy choices of scal authorities can be af fected by countries’
macroeconomic conditions. However, note that the budget for the current year is
approved during the second half of the previous year and, even though additional
measures can be taken during the course of the year, they usually become effective
with some delay, generally toward the end of the scal year.
Denition 1 selects 107 periods of scal adjustments (15.1% of the observa-
tions in our sample) and 91 periods of scal stimuli (12.9% of the observations
in our sample). Table A1 in appendix lists all of them. Of the 107 episodes of
scal adjustments, 65 last only for one period, while the rest are multiperiods ad-
justments. The majority of the latter (13) last for two consecutive years, 4 are
5
See the appendix for a detail denition of each variable used in the empirical analysis.
8
three years adjustments and the Denmark 1983-1986 scal stabilization is the only
episode lasting 4 consecutive years. As for scal stimuli, 52 episodes last one pe-
riod, in 12 cases the stimulus continues in the second year as well, and in 5 cases
denition 1 selects scal stimuli that last for 3 consecutive years.
We are interested in two outcomes of very tight and very loose scal poli-
cies: whether they are associated with an exp ansion in economic activity during
and in their immediate aftermath and whether they are associated with a reduc-
tion in the public debt-to-GDP ratio. Thus, an episode is dened expansionary
accordingtodenition 2 and successful according to denition 3; we dene con-
tractionary/unsuccessful all the episodes of scal stimuli and adjustments that are
not expansionary/successful according to these denitions.
Denition 2 Expansionary scal adjustments and scal stimuli
An episode of scal adjustment (scal stimulus) is expansionary if the average
growth rate of GDP, in difference from the G7 average (weighted by GDP weights),
in the rst period of the episode and in the two years after is greater than the
value of 75th percentile of the same variable empirical density in all episodes of
scal adjustments (scal stimuli). This denitions selects 26 years of expansionary
periods during scal adjustments (3.7% of the observations of the entire OECD
sample) and 20 years of exp ansionary periods during scal stimuli (2.8% of the
observations of the entire OECD sample). See table A2 for a list
.
Denition 3 Successful scal adjustments
Aperiodofscal adjustment is successful if the cumulative reduction of the
debt to GDP ratio three years after the beginning of a scal adjustment is greater
than 4.5 percentage points (the value of 25th percentile of the change of the debt-to-
GDP ratio empirical density in all episodes of scal adjustments).
6
This denitions
selects 17 periods of successful scal adjustments (2.7% of the observations of the
entire OECD sample). In Table A3 in Appendix we list all the episodes.
We have experimented with variation of the threshold of these denitions but
the results are rob ust, that is they do not change signicantly as result of small
6
If an episode of tight scal policy takes place in 2005, the cumulative change of the debt-to-
GDP ratio is computed over a two years horizon, not to loose too many observations at the end of
the sample. If the episode occurs after 2005, we cannot determine whether it is a successful or an
unsuccessful one.
9
changes of the denitions. A value of 1.5 change in decits in a year is suf-
ciently high to eliminate years of "business as usual" in which uctuations of the
decits may just be only cyclical. However it is not so large as to have very fe w
data points. Also, our “horizon” for the denition of “expansionary” and “success”
is relatively short. Choosing a longer horizon has two problems. First, one looses
many observations at the end of the sample; second, and more importantly, choos-
ing a longer horizon makes the connection between the episodes and economic
outcomes several years later more tenuous, given the extent of intervening factors.
Finally, note that according to denition 2 and 3, multiyears scal adjustments and
stimuli are considered as a "single" episode because the length of the time horizon
chosen for the denition of “expansionary” and “success” starts from the rst year
of the episode. Alesina and Ardagna (1998), Alesina, Perotti and Tavares (1998),
instead, consider each year of a multiyear period as a single episode. This implies
that, in a multiyear episode, some years can be expansionary, some contractionary,
some can be successful, some unsuccessful. While we have no reason to prefer one
choice over the other, we nd reassuring that results are robust to these alternative
methods used to select expansionary and successful episodes that last more than
one consecutive year.
7
3 Basic Statistics
3.1 Fiscal stimuli
Let’s begin by analyzing what happens with scal stimuli, namely whether we can
detect differences in the effects of scal packages depending on their composition
on the economy. Table 1 shows the composition in terms of spending components
and revenue components of the 20 years of expansionary scal stimulus packages
versus the others. In Tables 1-6, the period [T 2, T 1] is the two year period
preceding the rst year of a scal stimulus/adjustment. The period [T]istherst
year and the period [T + 1, T + 2] is the two year period following the beginning
of an episode.
8
All the v ariables in the tables are yearly av erages.
The most striking result of this table is that in expansionary episodes total
spending increases by roughly 1 per cent of GDP while rev enues fall by more
than 2.5 per cent of GDP. In contractionary episodes total spending goes up by
7
More details on these sensitivity analysis are available from the authors.
8
The Denmark scal contractio n is the only episode lasting 4 years. We have included the values
of the variables in 1986 in the column [T + 1, T + 2]. We checked and conrm that the qualitative
nature of the results does not change if the period [T] inlcudes all the years of a tight/expansionary
episode of scal policy and the period [T + 1, T + 2] is the two year period following the last year
of an episode.
10
close to 3 per cent of GDP while revenues are roughly constant in terms of GDP.
This correlation seems to suggest that stimulus packages used upon the spending
side do not work or at least not as well as those based upon spending increases.
In terms of components of spending we note that there is no difference between
expansionary and contractionary episodes regarding public investment which goes
up by roughly the same amount in ratios of GDP. All the other components of
primary spending and, in particular transfers, go up much more in contractionary
episodes. This suggests that the non public investment components of the bud-
get are those which explain the different correlation with growth. As for revenues
note the large cut in income taxes in expansionary stimuli and the slight increase
in contractionary ones. Not surprisingly the debt over GDP ratio goes up less in
expansionary episodes since the denominator increases more.
Figure 1 offers a striking visual image of the different compositions in terms
of revenues and spending of expansionary and contractionary episodes. The rst
two comparison of total spending and rev e nues are rather striking even visually.
In Table 2 we look at the different components of GDP to check whether there
are difference in composition between expansionary and contractionary episodes.
The rst two lines which refer to GDP growth are somew hat obvious since they
reect the selection criteria of these episodes. All the components of aggregate
demand grow more after the stimulus in expansionary episodes. This result is a
bit different than that reported in Alesina and Ardagna (1998). In that sample the
dif ference between the two types of episodes seemed concentrated on inv estment
rather than consumption.
9
In this sample both consumption and investment behav e
differently, both increasing in expansionary cases and declining in contractionary
ones. This table also allows us to check whether the state of the economy before
the adjustments was dif ferent in the two groups. In terms of domestic growth and
relative to G7 av erage, expansionary episodes occurred when growth was higher.
As for the other components the only signicant difference seem to be in the trade
balance. It is obviously cavalier to draw broad conclusions from this but enormous
differences in the preexisting state of the economy do not jump out from this table.
3.2 Fiscal adjustments
Fiscal adjustments can be judged in two ways, as discussed above. One is about
whether they have been successful in signicantly reducing decits and the debt
over GDP ratios and second whether they have been associated with a reduction
in growth or not. Obviously, the two criteria are correlated since a growth en-
hancing adjustment is more likely to be successful in reducing the debt-to-GDP
9
See Also Alesina, Ardagna Perotti and Schiantarelli (2002) for related work on the effect of
scal policy on investment.
11
ratio. However, the correlation is not perfect since a scal adjustment may lead to
a sharp reduction of the debt/GDP ratio because the numerator drops faster than
the denominator. Episodes with this characteristic, that is the ability to reduce the
debt-to-GDP ratio exist, for example Netherlands in 1993, Norway in 1989, and
Sweden in 1986-1987.
Table 3 is organized in the same way as Table 1 above. The ex pansionary
episodes of scal adjustments are mostly characterized by spending cuts. Primary
spending as a percent of GDP falls by more than 2 per cent. Total revenues in-
stead increase slightly by about 0.34 per cent of GDP. On the other hand, in the
case of contractionary scal adjustments primary spending is cut by about 0.7 per
cent of GDP, while revenues increase by about 1.2 per cent of GDP. Thus, scal
adjustments occurring on the spending side have superior effects on growth than
those based upon increases in tax revenues. As far as the composition in compo-
nents probably the most striking difference between the two types of adjustments
has to do with the role of transfers. In contractionary cases transfers continue to
growth as a percentage of GDP of almost half of a percentage point. In expansion-
ary episodes, instead, transfers fall by roughly the same amount. Thus, in between
the two types of episodes there is a very large difference of 1 per cent of GDP in the
share of transfers. Looking at the composition of revenues one is struck by income
taxes: they go down quite signicantly in expansionary adjustments and go up in
contractionary ones. The difference between the two is almost 1 percentage point
of GDP. This difference is by far the largest among revenue components.
Figure 2 is organized in the same way as gure 1 and even in this case visually
the contrast between the two types of scal adjustments is quite obvious. When
we look at the different components of GDP, we nd that both consumption and
investment grow more during expansionary episodes. We did not uncover any re-
markable composition effects, along the same line a Table 2 displayed for scal
stimuli. These sample statistics are reported in Table 4 which is organized as Ta-
ble 2. The other interesting observa tion is that at least in terms of GDP growth
and growth of its components the preexisting conditions of expansionary and con-
tractionary episodes look remarkably similar. One rather remarkable observation
comes from comparing the growth performance during expansionary stimuli and
expansionary adjustments: they are quite similar!
Let’s now consider successful versus unsuccessful adjustments as shown in
Table 5. The comparison between the two is especially striking. In successful
episodes total primary spending as a percentage of GDP falls by about 2 per cent
of GDP. Total revenues actually decline of about half of percentage point of GDP.
Thus, successful scal adjustments are completely based on spending cuts accom-
panied by modest tax cuts! On the contrary, in unsuccessful adjustments total
revenue goes up by almost 1.5 per cent of GDP and primary spending are cut by
12
about 0.8 of GDP. Once again this comparison points in the direction of spending
cuts as the more successful ways of xing budget problems.
Regarding the composition of spending and revenue the most striking com-
parison is giv en by the transfers item. In successful adjustments transfers fall by
0.83 per cent of GDP, while in unsuccessful adjustments they grow at about 0.4
per cent, a huge difference between the two episodes of 1.2 percent of GDP. This
comparison points in a clear direction: it is very difcult if not impossible to x
public nances when in trouble without solving the question of automatic increases
in entitlements. Regarding the composition of revenues, again as above the most
striking difference is on income taxes. Figure 3, once again, gives a striking visual
image of these results.
4 Some regressions
In this section we present some simple regressions on GDP growth as a function
of changes of scal policy in the recent past. We should put up-front the fact that
causality issues are all over the place here and we do not claim to have solved them.
These regressions should be viewed as correlations, but we nd them instructi ve
and the message which they send is on the same line of that emerging from our
descriptive analysis above.
Let’s begin with scal stimuli. In Table 7, columns 1-4, we regress real GDP
gro wth in a year of scal stimulus on its one period and two period lagged values,
on the lagged value of the weighted average of the real GDP growth of the G7
countries, on the lagged value of the ratio of public debt to GDP ratio and on a
set of scal policy variables measuring the size and the composition of the scal
stimulus. Columns 5-8 are analogous to the previous 4 columns except for the lhs
variable, now equal to the average of real GDP growth in a year of scal stimulus
andinthetwofollowingones.
We nd that, controlling for initial conditions, a one percentage point higher
increase in the current spending to GDP ratio is associated with a 0.75 percentage
point lower growth. The effect is statistically signicant at the 5% level. Instead,
larger increases in spending on capital goods or larger cuts in taxes do not have sta-
tistically signicant effects on growth (see column 2). When we try to investigate
whether the size of the scal stimulus or its composition is relevant for economic
growth, we nd more evidence in favor of the composition. We measure the size of
the scal stimulus with the change in the cyclically adjusted primary balance. We
measure the composition of scal stimuli with two different variables: (i) the ratio
between the change in current spending to GDP ratio and the change in the primary
balance (columns 3 and 7), and (ii) the sum of the change in current spending and
13
tax revenue to GDP ratios (column 4 and 8) to account for the fact that both current
spending increases and tax increases can be negatively associated with growth.
Both measures of composition are statistically signicantatthe5%levelinall
specications. In column 3, the sign of the ratio between the change in current
spending to GDP ratio and the change in the primary balance indicates that the
larger the share of the worsening in the primary balance due to spending increases
the lower GDP growth. On average, during years of scal stimuli about 54% of
the deterioration in the primary balance is due to increases in current spending
items. A one standard deviation increase in this variable (equal to 51%, undoubt-
edly a very large number) would reduce growth by 1 percentage point. Finally, a
larger increase in the primary decittoGDPratioisassociatedwithlowergrowth,
howev er, the effect is statistically signicant only in column 3.
Table 8 is very similar to Table 7 but we replace the change in current spend-
ing and taxes with their respective components. Consistent with the evidence in
Table 7, our regressions show that scal stimuli more heavily based on increases in
current spending items (government wage and non-wage components, subsidies)
are associated with lower growth, while scal stimulus packages based on cuts in
income, business and indirect taxes are more likely to be expansionary.
When we turn to the sample of scal adjustments (Tables 9 and 10), our results
still point in the same direction: namely, the composition of the scal adjustment,
more than its size, matters for growth and scal adjustments associated with higher
GDP growth are those in which a larger share of the reduction of the primary
decit-to-GDP ratio is due to cuts in current spending, to the government wage
and non-wage components, and to subsidies. All this evidence is consistent with
the previous literature on scal stabilizations and is robust if we introduce among
the regressors the change in the short-term interest rate as a control for the stance
of monetary policy or the rate of change of the nominal exchange rate to control
for exchange rate devaluations that can occur at the same time of large changes in
the scal stance (results are not shown but are available upon request).
Finally, we have estimated the same specicationsas in Tables 7 and 9, columns
1, 2, and 4 for the entire sample of OECD data that, hence, includes episodes of
scal adjustments, stimuli and years in which the cyclically adjusted primary bal-
ance changes between -1.5% and 1.5%. We have also checked whether there are
non-linearities associated with times of large scal adjustments and stimuli. Table
11 shows the results.
10
Results are in line with the evidence shown so far: we
nd that larger reductions in current spending and in taxation are associated with
higher GDP growth, while changes in capital spending do not show any signicant
ef fect on growth. Moreover, the specications in columns 4-9, do not support any
10
Regressions in Table 11 include country and year dummies among the rhs varia bles.
14
evidence of non-linearities in episodes of scal adjustments or stimuli. Both the
coefcients of the dummy variables Tight and Loose and the coefcients between
the interaction terms of these variables and the scal policy indicators are not sta-
tistically signicant. As suggested by Alesina, Ardagna, Perotti, and Schiantarelli
(2002), there seems to be nothing special around such episodes that can explain the
behavior of growth relatively to normal times.
5 Conclusions
Rather than reviewing again our result it is worth elaborating, or perhaps speculat-
ing on the current and future scal stance in the US. As we well know a very large
portion of the current astronomical 12 percent of GDP decit is the result of bailout
of various types of the nancial sector. This is an issue on which this paper has
nothing to say. But part of the decit is the result of the stimulus package that was
passed to lift the economy out of the recession. About two third of this scal pack-
age is constituted by increases in spending, including public investment, transfers
and government consumption. According to our results scal stimuli based upon
tax cut are much more likely to be gro wth enhancing than those on the spending
side. Needless to say when considering a single episode many other factors jump
to mind, factors which are difcult to capture in a multi country regressions. For
instance, American families were saving too little before the crisis. An income
tax cut might have just simply been saved and might have had not a big impact on
aggregate consumption. Howev er, more saving might have reinforced the nan-
cial sector, think of the credit card crisis for instance. In addition, one could have
though of tax cuts that stimulate investment. The benet of infrastructure projects
which have "long and variable lags" is much more questionable.
After the "perfect storm" of this current crisis the US will emerge with an
unprecedented (for peace time) increase in government debt. As we argued in the
introduction it is unlikely that these decits and debt will disappear simply because
growth will resume at very rapid pace very soon. Primary suppresses would be
needed since interest rates cannot go other than up from the close to zero actual
levels. The analysis of the present paper suggests that unless primary spending is
cut, it is difcult to acheive scal stability because spending may rise faster than
tax revenue. But what can be cut? Hopefully improvements in the peace process in
Afghanistan and Iraq might allow a reduction of military expenditure, b ut given the
instability in the region one cannot count on that for sure. Health care reforms seem
to imply large increases in spending, the retirement of the baby boomers is not too
far, and in the pressing time of the crisis the issue of Social Security has been in
the background, but it has not disappeared A relatively high unemployment for a
15
couple of more years will require spending on subsidies. The budget outlook looks
rather grim on the spending side. The Congressional Budget Ofce predicts decit
of 7 per cent of GDP up to 2020. This is not a rosy scenario.
References
[1] Aghion Philippe, Alberto Alesina and Francesco Trebbi (2004) "Endogenous
Political Institutions" Quarterly Journal of Economics, 119, 565-612
[2] Alesina Alberto (1988) “The End of Large Public Debts” in F. Giavazzi and
L. Spaventa (eds.), High Public Debt: The Italian Experience, Cambridge,
Cambridge University Press.
[3] Alesina A., and S. Ardagna, 1998, Tales of Fiscal Adjustments, Economic
Policy, October 1998, 489-545.
[4] Alesina A., S. Ardagna, R. Perotti, and F. Schiantarelli, 2002, Fiscal Policy,
Prots, and Investment, American Economic Review, vol. 92, no. 3, June
2002, 571-589.
[5] Alesina, Alberto and Allan Drazen (1991) “Why are Stabilizations De-
layed?, American Economic Review, 81, 1170-1188.
[6] Alesina, Alberto and Edward Glaeser (2004) Fighting Poverty in the US and
Europe: A World of Difference (Oxford University Press, Oxford, UK).
[7] Alesina A., R. Perotti, and J. Tavares, 1998, The Political Economy of Fiscal
Adjustments, Brookings Papers on Economic Activity, Spring 1998.
[8] Alesina A., and R. Perotti, 1997, The Welfare State and Competitiv eness,
American Economic Review, 1997, 87, 921-939.
[9] Alesina A., and R. Perotti, 1995, Fiscal Expansions and Adjustments in
OECD Countries, Economic Policy, n.21, 207-247.
[10] Ardagna Silvia (2004), “Fiscal Stabilizations: When Do They Work and
Why”, European Economic Review, vol. 48, No. 5, October 2004, pp. 1047-
1074.
[11] Blanchard O., 1993, Suggestion for a New Set of Fiscal Indicators, OECD
Working paper.
[12] Blanchard O., 1990, Comment on Giavazzi and Pagano, NBER Macroeco-
nomics Annual, MIT Press, Cambridge, MA, 1990.
16
[13] Blanchard, O.J.. and R. Perotti, (2002), An Empirical Investigation of the
Dynamic Effects of Changes in Government Spending and Revenues on Out-
put”, Quarterly Journal of Economics, November, pp. 1329-1368.
[14] Bertola, G., Drazen, A., 1993. Trigger Points and Budget Cuts: Explaining
the effects of Fiscal Austerity. American Economic Review 83 (1), 11–26.
[15] Giavazzi, F., T. Jappelli, and M. Pagano, 2000, Searching for Non-Linear
Effects of Fiscal Policy: Evidence from Industrial and Developing Countries,
European Economic Review, 2000, vol. 44, n.7, 1259-1289.
[16] Giavazzi F., and M. Pagano, 1996, Non-Keynesian Effects of Fiscal Policy
Changes: International Evidence and the Swedish Experience, Swedish Eco-
nomic Policy Review, vol. 3, n.1, Spring, 67-112.
[17] Giavazzi F., and M. Pagano, 1990, Can Sev ere Fiscal Contractions Be Expan-
sionary? Tales of Two Small European Countries, NBER Macroeconomics
Annual, MIT Press, (Cambridge, MA), 1990, 95-122.
[18] Lambertini L., and J. Tavares, 2001, Exchange Rates and Fiscal Adjustments:
Evidence from the ECD and Implications for EMU.
[19] McDermott J., and R. Wescott, 1996, An Empirical Analysis of Fiscal Ad-
justments, IMF Staff papers, vol. 43, n.4, 723-753.
[20] Milesi-Ferretti Gian Maria, Roberto Perotti, and Massimo Rostagno (2002)
“Electoral Systems And Public Spending”, The Quarterly Journal of Eco-
nomics, vol. 117(2), 609-657.
[21] Mountford A., H. Uhlig, (2008), “What Are the Effects of Fiscal Plicy
Shocks?” NBER working paper 14551.
[22] Perotti, Roberto, 1999, Fiscal Policy When Things are Going Badly, Quar-
terly Journal of Economics, 114, November 1999, 1399-1436.
[23] Persson Torsten and Guido Tabellini, (2003), “The Economic Effects of Con-
stitutions”, MIT Press, Munich Lectures in Economics.
[24] Ramey V., (2008), “Identifying Government Spending Shocks: It’s All in the
Timing”
[25] Romer Christina and David Romer, (2007), The Macroeconomics Effects of
Tax Change: Estimates Based on a New Measure of Fiscal Shocks”, NBER
working paper 13264.
17
[26] Sutherland, A., 1997. Fiscal Crises and Aggregate Demand: Can High Public
Debt Reverse the Effects of Fiscal Policy? Journal of Public Economics 65,
147–162.
[27] von Hagen J., A. H. Hallett, R. Strauch, (2002), “Budgetary Consolidation
in Europe: Quality, Economic Conditions, and Persistence”, Journal of the
Japanese and International Economics, vol. 16, pp. 512-535.
[28] von Hagen J., R. Strauch, (2001), “Fiscal Consolidations: Quality, Economic
Conditions, and Success, Public Choice, vol. 109, no.3-4, pp 327-346
18
6 Data Appendix
Debt.= government gross debt as a share of GDP
Total decit = cyclically adjusted total decit as a share of GDP = primary
decit + (interest expenses on government debt/GDP)
Primary decit = cyclically adjusted primary decit as a share of GDP =
Primary expenses - Total revenue
Primary expenses = cyclically adjusted primary expenditure as a share of
GDP = Transfers + ((Government wage expenditures + Government non
wage expenditures + Subsidies + Government investment)/GDP)
Curr. G = cyclically adjusted current expenditure as a share of GDP = Trans-
fers + ((Government wage expenditures + Government non wage expendi-
tures + Subsidies)/GDP)
Transfers = cyclically adjusted transfers as a share of GDP
Government wage expenditures = government wage bill expenditures
Government non wage expenditures = government non wage bill expendi-
tures
Subsidies = subsidies to rms
Government investment = gross government consumption on xed capital
Total revenue = Tax = cyclically adjusted total re venue as a share of GDP =
Income taxes + Business taxes + Indirect taxes + Social security contribu-
tions + (Other taxes/GDP)
Income taxes = cyclically adjusted income taxes as a share of GDP = cycli-
cally adjusted direct taxes on household as a share of GDP
Business taxes = cyclically ad justed business taxes as a share of GDP =
cyclically adjusted direct taxes on businesses as a share of GDP
Indirect taxes = cyclically adjusted indirect taxes as a share of GDP = cycli-
cally adjusted indirect taxes as a share of GDP
Social security contributions = cyclically adjusted social security contribu-
tions paid by employers and employees as a share of GDP
19
Curr.G/Pr.Decit; Gov.Inv/Pr.Decit; Spending item/Pr.Decit;
= an increase in these variable s means that a larger share of the increase
(reduction) of the primary decit is obtained by increasing (cutting) current
spending/gov. investment/spending item
Tax Revenue Item/Pr.Decit = an increase in these variables means that
a larger share of the increase (reduction) of the primary decit is obtained by
cutting (increasing) a revenue item of the government budget
Curr.G+Tax is actually equal to the negative of this v ariable. If both
taxes and spending are cut during the episode of loose or tight scal policy,
the variable has the “highest positive” value. If, instead, both spending and
taxes increase the variable has the “highest negative value”.
G7 GDP Growth = average growth rate of real GDP (with GDP weights) of
the seven major industrial countries
GDP Growth = gro wth rate of real capita GDP
Trade Balance = T r ade balance as a share of GDP = (Exports of goods and
services - Imports of goods and services)/GDP.
20
60.00%
80.00%
100.00%
120.00%
70.99%
51.38%
45.58%
116.87%
50.21%
Figure 1
Contribution of expenditure and revenue items to the fiscal stimuli
-20.00%
0.00%
20.00%
40.00%
Primary
expenditures
Total revenue Transfers Government
wage
expenditures
Government
non wage
expenditures
Subsidies Government
investment
Income taxes Business taxes Indirect taxes Social security
contributions
29.01%
4.97%
8.84%
4.42%
5.80%
8.84%
20.17%
-17.96%
-17.28%
32.92%
18.52%
4.53%
10.70%
-9.88%
11.93%
-3.70%
-11.52%
Expansionary episodes Contractionary episodes
Note: Figure 1 shows the percentage of the increase (reduction) in the primary deficit (surplus) due to changes in spending and revenue items of the government budget. Positive values indicate that
expenditure items increase and revenue items decrease, contributing to a worsening of the primary balance. Negative values indicate that expenditure items decrease and revenue items increase,
contributing to an improvement of the primary balance.
20.00%
40.00%
60.00%
80.00%
100.00%
86.22%
13 39%
22.83%
15.75%
12 60%
30.31%
25.98%
34.59%
65.41%
16.22%
37.84%
25.95%
18.92%
11 35%
Figure 2
Contribution of expenditure and revenue items to fiscal adjustments
-40.00%
-20.00%
0.00%
Primary
expenditures
Total
revenue
Transfers Government
wage
expenditures
Government
non wage
expenditures
Subsidies Government
investment
Income taxes Business
taxes
Indirect taxes Social
security
contributions
13
.
39%
5.12%
12
.
60%
-10.63%
0.39%
-2.76%
-25.41%
-1.08%
4.86%
11
.
35%
-3.24%
Expansionary episodes Contractionary episodes
Note: Figure 2 shows the percentage of the decrease (increase) in the primary deficit (surplus) due to changes in spending and revenue items of the government budget. Positive values indicate that
expenditure items decrease and revenue items increase, contributing to an improvement of the primary balance. Negative values indicate that expenditure items increase and revenue items decrease,
contributing to a worsening of the primary balance.
40.00%
60.00%
80.00%
100.00%
120.00%
140.00%
135.42%
57.64%
36.11%
26.39%
56.94%
33.80%
66.20%
35.68%
24.88%
19 25%
Figure 3
Contribution of expenditure and revenue items to fiscal adjustments
-60.00%
-40.00%
-20.00%
0.00%
20.00%
Primary
expenditures
Total
revenue
Transfers Government
wage
expenditures
Government
non wage
expenditures
Subsidies Government
investment
Income taxes Business
taxes
Indirect taxes Social
security
contributions
-35.42%
1.39%
16.67%
-47.92%
-21.53%
-6.25%
-20.19%
15.02%
-1.88%
5.63%
19
.
25%
14.55%
5.16%
Successful episodes Unsuccessful episodes
Note: Figure 3 shows the percentage of the decrease (increase) in the primary deficit (surplus) due to changes in spending and revenue items of the government budget. Positive values indicate that
expenditure items decrease and revenue items increase, contributing to an improvement of the primary balance. Negative values indicate that expenditure items increase and revenue items decrease,
contributing to a worsening of the primary balance
(0 33)
(0 32)
(0 37)
(0 13)
(0 14)
(0 15)
Table 1: Fiscal stimuli: size and composition
Expansionary Contractionary
[T-2 - T-1] T [T+1 - T+2] (c) - (a) [T-2 - T-1] T [T+1 - T+2] (c) - (a)
(a) (b) (c) (a) (b) (c)
Debt 50.28 50.52 51.1 0.82 60.79 62.38 63.3 2.51
(9.03) (9.09) (9.48) (5.18) (5.18) (4.46)
Change in debt -1.02 0.48 0.53 1.55 -0.29 2.24 2.21 2.50
(1.47) (1.12) (1.24) (0.59) (0.67) (0.68)
Total deficit -1.04 2.19 3.27 4.31 1.5 3.79 3.97 2.47
(1.62) (1.65) (1.24) (0.72) (0.74) (0.71)
Primary deficit -2.01 1.16 1.61 3.62 -0.3 1.99 2.13 2.43
(0.82) (0.92) (0.91) (0.45) (0.48) (0.41)
Primary expenditures 36.79 37.72 37.84 1.05 40.08 42.22 42.92 2.84
(1.73) (1.64) (1.66) (0.94) (0.94) (1.00)
Transfers 14.93 14.88 15.11 0.18 16.83 17.28 18.05 1.22
(1.03) (1.01) (1.04) (0.60) (0.58) (0.57)
Government wage expenditures 10.62 10.74 10.94 0.32 11.78 12.2 12.58 0.80
(0.52) (0.47) (0.50) (0.41) (0.43) (0.46)
Government non wage expenditures 6.81 6.96 6.97 0.16 7.73 8.15 8.18 0.45
(0.49) (0.49) (0.55)
(0.29) (0.28) (0.31)
Subsidies 2.03 2.09 2.24 0.21 1.82 1.93 1.93 0.11
(0
.
33)
(0 32)
. .
(0 37)
(0 13)
.
(0 14)
(0 15)
. .
Government investment 2.26 3.05 2.58 0.32 1.95 2.67 2.21 0.26
(0.37) (0.38) (0.37) (0.19) (0.27) (0.21)
Total revenue 38.8 36.56 36.23 -2.57 40.38 40.23 40.8 0.42
(1.90) (1.83) (2.00) (1.15) (1.12) (1.07)
Income taxes 10.89 9.2 9.03 -1.86 11.02 11.21 11.26 0.24
(1.10) (0.98) (1.08) (0.74) (0.71) (0.67)
Business taxes 4.25 3.37 2.6 -1.65 3.03 2.78 2.74 -0.29
(0.83) (0.63) (0.33) (0.25) (0.20) (0.22)
Indirect taxes 13.33 12.57 12.6 -0.73 12.67 12.5 12.76 0.09
(0.61) (0.61) (0.69) (0.39) (0.40) (0.36)
Social security contributions 8.7 8.93 9.35 0.65 11.08 11.17 11.36 0.28
(0.94) (0.82) (0.89) (0.69) (0.68) (0.70)
Source: OECD. Variables are in share of GDP. Total deficit, Primary deficit, Primary expenditures, Transfers, Total revenues, and all revenue items are cyclically adjusted variables.
Standard deviations of the means in parenthesis. See the Data Appendix for the exact definition of the variables
Table 2: Fiscal stimuli and growth
[T-2 - T-1] T [T+1 - T+2] (c) - (a) [T-2 - T-1] T [T+1 - T+2] (c) - (a)
(a) (b) (c) (a) (b) (c)
G7 GDP Growth 0.39 1.6 2.03 1.64 0.2 -0.7 -0.74 -0.94
(0.66) (0.53) (0.32) (0.23) (0.23) (0.19)
GDP Growth 3.9 3.77 4.37 0.47 2.89 0.93 1.79 -1.1
(0.65) (0.35) (0.32) (0.22) (0.26) (0.27)
Private Consumption Growth 3.49 3.47 3.72 0.23 3.08 1.54 1.86 -1.22
(0.7) (0.61) (0.32) (0.22) (0.3) (0.29)
Total Investment Growth 3.44 2.58 6.55 3.11 2.9 -1.39 0.04 -2.86
(1.81) (1.63) (1.00) (0.59) (0.82) (0.64)
Private Investment Growth 3.5 1.14 7.49 3.99 3.36 -1.9 0.07 -3.29
(2.05) (2.04) (1.25) (0.73) (1.02) (0.82)
Business Investment Growth 5.51 2.5 7.64 2.13 6.73 -0.34 -0.78 -7.51
(2.06) (3.21) (1.53) (1.44) (1.34) (1.07)
Trade Balance 0.53 0.61 -1.9 -2.43 0.19 -0.2 0.14 -0.05
(2.07) (2.2) (2.11) (0.7) (0.65) (0.69)
Expansionary Contractionary
(0 33)
(0 30)
(0 28)
(0 13)
(0 13)
(0 14)
Table 3: Expansionary and contractionary fiscal adjustments: size and composition
Expansionary Contractionary
[T-2 - T-1] T [T+1 - T+2] (c) - (a) [T-2 - T-1] T [T+1 - T+2] (c) - (a)
(a) (b) (c) (a) (b) (c)
Debt 59.86 57.53 54.1 -5.76 69.15 71.8 69.52 0.37
(5.52) (5.22) (5.07) (4.04) (4.23) (4.25)
Change in debt -1.46 -2.42 -2.3 -0.84 3.28 1.97 1.28 -2.00
(1.03) (1.14) (0.54) (0.62) (0.54) (0.52)
Total deficit 3.61 1.33 0.56 -3.05 5.67 3.89 4.14 -1.53
(1.09) (1.18) (0.98) (0.63) (0.70) (0.72)
Primary deficit 1.31 -0.84 -1.23 -2.54 2.7 0.74 0.85 -1.85
(0.77) (0.74) (0.60) (0.40) (0.43) (0.39)
Primary expenditures 41.32 39.71 39.13 -2.19 43.22 42.47 42.58 -0.64
(2.04) (1.80) (1.59) (0.98) (0.95) (0.93)
Transfers 18.1 17.66 17.52 -0.58 17.95 18.21 18.42 0.47
(1.37) (1.21) (1.08) (0.54) (0.54) (0.54)
Government wage expenditures 11.65 11.41 11.25 -0.40 12.46 12.25 12.16 -0.30
(0.53) (0.51) (0.46) (0.40) (0.38) (0.36)
Government non wage expenditures 7.03 6.91 6.9 -0.13 8.09 8.1 8.11 0.02
(0.53) (0.49)
(0.48) (0.27) (0.28) (0.28)
Subsidies 2.17 1.95 1.85 -0.32 2.07 1.98 1.98 -0.09
(0
.
33)
.
(0 30)
.
(0 28)
(0 13)
.
(0 13)
(0 14)
. .
Government investment 2.38 1.77 1.61 -0.77 2.66 1.95 1.96 -0.70
(0.29) (0.27) (0.25) (0.18) (0.17) (0.14)
Total revenue 40.02 40.56 40.36 0.34 40.52 41.73 41.73 1.21
(1.99) (1.90) (1.84) (0.98) (0.94) (0.96)
Income taxes 10.62 10.59 10.35 -0.27 11.45 11.79 11.93 0.48
(1.04) (1.07) (0.97) (0.63) (0.63) (0.63)
Business taxes 2.92 3.49 3.58 0.66 2.55 2.88 2.9 0.35
(0.41) (0.51) (0.50) (0.17) (0.22) (0.25)
Indirect taxes 13.52 13.61 13.53 0.01 12.44 12.69 12.65 0.21
(0.46) (0.40) (0.40) (0.31) (0.30) (0.30)
Social security contributions 9.63 9.52 9.56 -0.07 11.44 11.52 11.38 -0.06
(1.01) (0.92) (0.89) (0.61) (0.62) (0.66)
Source: OECD. Variables are in share of GDP. Total deficit, Primary deficit, Primary expenditures, Transfers, Total revenues, and all revenue items are cyclically adjusted variables.
Standard deviations of the means in parenthesis. See the Data Appendix for the exact definition of the variables
Table 4: Expansionary and contractionary fiscal adjustments and growth
[T-2 - T-1] T [T+1 - T+2] (c) - (a) [T-2 - T-1] T [T+1 - T+2] (c) - (a)
(a) (b) (c) (a) (b) (c)
G7 GDP Growth 0.57 1.49 1.98 1.41 -0.32 -0.42 -0.49 -0.17
(0.55) (0.37) (0.24) (0.2) (0.2) (0.17)
GDP Growth 3.14 4.73 4.68 1.54 2.03 2.36 2.25 0.22
(0.56) (0.39) (0.33) (0.2) (0.18) (0.18)
Private Consumption Growth 2.82 4.12 4.34 1.52 1.94 2.27 2.27 0.33
(0.49) (0.47) (0.42) (0.26) (0.24) (0.19)
Total Investment Growth 1.44 7.72 7.91 6.47 1 1.91 2.5 1.5
(1.68) (0.98) (1.12) (0.61) (0.54) (0.72)
Private Investment Growth 1.41 9.6 7.81 6.4 1.04 2.92 3.15 2.11
(1.86) (1.22) (1.33) (0.75) (0.69) (0.89)
Business Investment Growth 2.23 10.88 4.98 2.75 2.97 3.23 5.17 2.2
(1.9) (1.76) (2.62) (1) (1.18) (1)
Trade Balance 0.71 1.85 1.56 0.85 -0.54 0.15 0.95 1.49
(1.58) (1.61) (1.81) (0.58) (0.64) (0.65)
Expansionary Contractionary
(0 36)
(0 35)
(0 34)
(0 14)
(0 14)
(0 15)
Table 5: Successful and unsuccessful fiscal adjustments: size and composition
Successful Unsuccessful
[T-2 - T-1] T [T+1 - T+2] (c) - (a) [T-2 - T-1] T [T+1 - T+2] (c) - (a)
(a) (b) (c) (a) (b) (c)
Debt 61.92 59.63 53.18 -8.74 68.29 71.4 72.06 3.77
(4.32) (4.50) (4.16) (4.32) (4.53) (4.48)
Change in debt -1.6 -1.97 -3.88 -2.28 3.68 2.29 2.14 -1.54
(0.72) (1.14) (0.34) (0.64) (0.53) (0.43)
Total deficit 2.5 0.29 0.66 -1.84 5.6 3.77 3.69 -1.91
(1.00) (1.06) (1.09) (0.71) (0.83) (0.85)
Primary deficit 0.8 -1.2 -0.64 -1.44 2.7 0.71 0.57 -2.13
(0.68) (0.64) (0.69) (0.45) (0.51) (0.46)
Primary expenditures 45.78 43.67 43.83 -1.95 43.46 42.68 42.74 -0.72
(1.76) (1.60) (1.46) (1.10) (1.10) (1.03)
Transfers 19.86 19.07 19.03 -0.83 18.38 18.59 18.81 0.43
(1.11) (0.94) (0.89) (0.63) (0.64) (0.61)
Government wage expenditures 12.82 12.5 12.3 -0.52 12.51 12.3 12.19 -0.32
(0.69) (0.67) (0.63) (0.44) (0.42) (0.40)
Government non wage expenditures 8.73 8.62 8.71 -0.02 7.96 8.01 8 0.04
(0.49) (0.47)
(0.45) (0.30) (0.31) (0.30)
Subsidies 2.29 2.14 2.05 -0.24 2.05 1.94 1.93 -0.12
(0
.
36)
.
(0 35)
.
(0 34)
(0 14)
.
(0 14)
(0 15)
. .
Government investment 2.12 1.34 1.74 -0.38 2.57 1.85 1.81 -0.76
(0.38) (0.34) (0.27) (0.19) (0.18) (0.16)
Total revenue 44.98 44.86 44.47 -0.51 40.76 41.97 42.17 1.41
(1.61) (1.57) (1.67) (1.04) (1.04) (1.03)
Income taxes 13.69 13.43 13 -0.69 11.02 11.35 11.55 0.53
(1.18) (1.17) (1.16) (0.64) (0.65) (0.64)
Business taxes 2.77 3.37 3.59 0.82 2.69 3.08 3.1 0.41
(0.26) (0.31) (0.35) (0.22) (0.28) (0.31)
Indirect taxes 13.77 13.6 13.46 -0.31 12.32 12.51 12.63 0.31
(0.68) (0.61) (0.62) (0.33) (0.32) (0.33)
Social security contributions 10.82 10.73 10.73 -0.09 12.04 12.25 12.15 0.11
(1.26) (1.15) (1.20) (0.62) (0.62) (0.64)
Source: OECD. Variables are in share of GDP. Total deficit, Primary deficit, Primary expenditures, Transfers, Total revenues, and all revenue items are cyclically adjusted variables.
Standard deviations of the means in parenthesis. See the Data Appendix for the exact definition of the variables
Table 6: Successful and unsuccessful fiscal adjustments and growth
[T-2 - T-1] T [T+1 - T+2] (c) - (a) [T-2 - T-1] T [T+1 - T+2] (c) - (a)
(a) (b) (c) (a) (b) (c)
G7 GDP Growth 0.4 0.8 0.85 0.45 -0.18 -0.22 -0.12 0.06
(0.53) (0.46) (0.37) (0.23) (0.22) (0.18)
GDP Growth 2.99 3.61 3.45 0.46 2.07 2.56 2.52 0.45
(0.58) (0.5) (0.28) (0.25) (0.2) (0.21)
Private Consumption Growth 2.75 3.74 3.02 0.27 2.01 2.28 2.42 0.41
(0.6) (0.67) (0.3) (0.26) (0.23) (0.2)
Total Investment Growth 2.95 4.11 4.78 1.83 1.02 2.55 3.52 2.5
(1.37) (1.54) (1.24) (0.69) (0.56) (0.73)
Private Investment Growth 3.45 5.6 5.07 1.62 1.18 3.43 4.23 3.05
(1.46) (1.85) (1.43) (0.81) (0.73) (0.9)
Business Investment Growth 3.2 5.46 6.06 2.86 3.23 5.17 5.84 2.61
(1.79) (2.06) (1.42) (1.07) (0.97) (1.08)
Trade Balance 2.72 3.99 4.31 1.59 -0.19 0.48 1.15 1.34
(1.1) (1.03) (1.51) (0.71) (0.77) (0.84)
Successful Unsuccessful
51)
29)
57)
68)
30)
64)
Table 7: GDP growth during and in the aftermath of a fiscal stimulus
(1) (2) (3) (4) (5) (6) (7) (8)
GDP growth GDP growth GDP growth GDP growth
Avg. GDP gr. Avg. GDP gr. Avg. GDP gr. Avg. GDP gr.
GDP growth (-1) 0.467*** 0.484*** 0.51***7 0.48*** 0.217* 0.236** 0.266** 0.237**
(3.18) (3.62) (3.76) (3.66) (1.84) (2.15) (2.40) (2.17)
GDP growth (-2) -0.16 -0.08 -0.10 -0.08 -0.08 -0.02 -0.04 -0.028
(-1.16) (-0.60) (-0.78) (-0.68) (-0.74) (-0.19) (-0.39) (-0.27)
G7 GDP growth (-1) 0.36* 0.27 0.25 0.27 -0.164 -0.23 -0.244 -0.228
(1.80) (1.47) (1.34) (1.49) (-1.03) (-1.53) (-1.61) (-1.53)
Debt (-1) -0.004 -0.007 -0.009 -0.0068 -0.003 -0.006 -0.0061 -0.005
(-0.54) (-0.90) (-1.10) (-0.93) (-0.37) (-0.78) (-0.74) (-0.77)
Δ Curr. G
-0.75*** -0.44**
(-2.87) (-2.02)
Δ Gov. Inv
-0.256 -0.076
(-1.38) (-0.50)
Δ Tax
-0.177 -0.199
(-0.62) (-0.85)
Δ Pr. Deficit
-0.283 -0.428** -0.264 -0.102 -0.197 -0.089
(
-
1.51)
(-1
.
(
-
2.29)
(-2
.
(
-
1.57)
(
-
0.68)
(-1
.
(-0
.
(
-
1.30)
(
-
0.64)
(-1
.
(-0
.
Δ Curr. G/Δ Pr. Deficit
-0.02*** -0.016***
(-3.43) (-3.37)
Δ Gov. Inv/Δ Pr. Deficit
-0.003 -0.005
(-0.39) (-0.73)
Δ Curr. G + Δ Tax
0.466*** 0.323***
(4.07) (3.44)
Constant 0.008 0.012 0.026*** 0.012 0.023*** 0.026*** 0.037*** 0.026***
(0.90) (1.38) (2.66) (1.45) (3.13) (3.52) (4.57) (3.78)
Observations 72 72 72 72 69 69 69 69
R-squared 0.28 0.43 0.40 0.43 0.06 0.21 0.21 0.21
Notes: OLS regressions. Dependent variables: real GDP growth rate during the fiscal stimulus in columns 1-4; average real GDP growth rate during the fiscal stimulus and in the following two years
in columns 5-8. T-statistics in parenthesis. See the Data Appendix for the exact definition of the variables.
Table 8: GDP growth and the composition of a fiscal stimulus
(1) (2) (3) (4) (5) (6)
GDP growth GDP growth GDP growth Avg. GDP gr. Avg. GDP gr. Avg. GDP gr.
GDP growth (-1) 0.36** 0.53** 0.48*** 0.26** 0.38*** 0.25**
(2.61) (3.81) (3.29) (2.25) (3.41) (2.11)
GDP growth (-2) 0.05 -0.09 -0.23 0.046 -0.08 -0.11
(0.42) (-0.71) (-1.64) (0.41) (-0.81) (-0.94)
G7 GDP growth (-1) 0.14 0.08 0.26 -0.343** -0.357** -0.27
(0.78) (0.44) (1.29) (-2.28) (-2.42) (-1.64)
Debt (-1) -0.0127* -0.01 -0.0003 -0.008 -0.0004 -0.0017
(-1.69) (-1.41) (-0.04) (-1.08) (-0.05) (-0.22)
Δ Tran -0.23 -0.345
(-0.50) (-0.87)
Δ Gov. non wage exp. -3.10*** -3.01***
(-3.57) (-4.06)
Δ Gov. wage exp. -1.32** -0.034
(-2.43) (-0.07)
Δ Subsidies -1.50 -0.623
(-1.49) (-0.73)
Δ Gov. Inv -0.22 -0.059
(-1.35) (-0.42)
Δ Income taxes 0.12 -0.281
(0.30) (-0.85)
Δ Bus. taxes -0.23 -0.121
(-0.73) (-0.45)
Δ Soc. security contr. 0.248 0.186
(0.56) (0.50)
Δ Indirect taxes -0.181 -0.167
(-0.37)
()
(-0.40)
()
Δ other taxes -3.001*** -2.022**
(-2.80) (-2.24)
Δ Pr. Deficit -0.493*** -0.32* -0.276* -0.077
(-2.76) (-1.80) (-1.93) (-0.53)
Δ Tran/Δ Pr. Deficit 0.002 -0.007
(0.26) (-1.06)
Δ Gov. non wage exp./Δ Pr. Deficit -0.053*** -0.065***
(-3.05) (-4.72)
Δ Gov. wage exp/Δ Pr. Deficit -0.032** 0.0019
(-2.07) (0.16)
Δ Subsidies/Δ Pr. Deficit -0.062** -0.04*
(-2.14) (-1.75)
Δ Gov. Inv/Δ Pr. Deficit -0.0016 -0.007
(-0.20) (-1.10)
Δ Income taxes/Δ Pr. Deficit 0.016* 0.015**
(1.93) (2.29)
Δ Bus. taxes/Δ Pr. Deficit 0.029*** 0.017*
(2.83) (1.88)
Δ Soc. security contr./Δ Pr. Deficit 0.01 0.008
(0.99) (1.00)
Δ Indirect taxes/Δ Pr. Deficit 0.030** 0.023**
(2.50) (2.42)
Δ other taxes/Δ Pr. Deficit 0.032** 0.014
(2.48) (1.34)
Constant 0.027*** 0.035*** 0.006 0.035*** 0.041*** 0.019***
(3.12) (3.65) (0.70) (4.72) (5.28) (2.73)
Observations 67 69 70 64 66 67
R-squared 0.63 0.51 0.43 0.47 0.39 0.21
Notes: OLS regressions. Dependent variables: real GDP growth rate during the fiscal stimulus in columns 1-3; average real GDP growth
rate during the fiscal stimulus and in the following two years in columns 4-6. T-statistics in parenthesis.
See the Data Appendix for the exact definition of the variables.
Δ
G/
Δ
fi
0 017***
0 015***
Table 9: GDP growth during and in the aftermath of a fiscal adjustment
(1) (2) (3) (4) (5) (6) (7) (8)
GDP growth GDP growth GDP growth GDP growth
Avg. GDP gr. Avg. GDP gr. Avg. GDP gr. Avg. GDP gr.
GDP growth (-1) 0.296*** 0.288*** 0.269*** 0.30*** 0.198** 0.197** 0.182** 0.202***
(2.99) (3.12) (3.04) (3.29) (2.41) (2.56) (2.48) (2.66)
GDP growth (-2) -0.0013 0.08 0.123 0.07 -0.059 0.01 0.045 0.007
(-0.01) (0.98) (1.50) (0.86) (-0.80) (0.14) (0.66) (0.10)
G7 GDP growth (-1) 0.116 0.038 0.018 0.025 0.005 -0.068 -0.08 -0.07
(0.76) (0.27) (0.13) (0.18) (0.04) (-0.58) (-0.72) (-0.63)
Debt (-1) -0.011* -0.006 -0.007 -0.009 -0.008 -0.006 -0.006 -0.006
(-1.84) (-1.11) (-1.33) (-1.54) (-1.42) (-1.05) (-1.22) (-1.20)
Δ Curr. G
-0.433** -0.296**
(-2.55) (-2.10)
Δ Gov. In
v
0.082 0.046
(0.60) (0.41)
Δ Tax
-0.22 -0.26
(-1.09) (-1.56)
Δ Pr. Defici
t
-0.044 -0.023 0.016 -0.027 0.006 0.024
(-0.33) (-0.19) (0.13) (-0.24) (0.06) (0.23)
Δ
Curr G/
Δ
Pr Deficit
C
urr.
P
r.
D
e c
it
0 017***
.
0 015***
.
(4.70) (4.81)
Δ Gov. Inv
/
Δ Pr. Defici
t
0.0013 0.004
(0.28) (0.96)
Δ Curr. G + Δ Tax
0.34*** 0.284***
(3.80) (3.84)
Constant 0.027*** 0.024*** 0.019*** 0.027*** 0.029*** 0.029*** 0.024*** 0.03***
(3.85) (3.44) (2.97) (4.23) (4.90) (4.87) (4.28) (5.41)
Observations 88 88 88 88 83 83 83 83
R-squared 0.22 0.35 0.40 0.34 0.12 0.27 0.34 0.27
Notes: OLS regressions. Dependent variables: real GDP growth rate during the fiscal adjustment in columns 1-4; average real GDP growth rate during the fiscal adjustment and in the following two years
in columns 5-8. T-statistics in parenthesis. See the Data Appendix for the exact definition of the variables.
Table 10: GDP growth and the composition of a fiscal adjustment
(1) (2) (3) (4) (5) (6)
GDP growth GDP growth GDP growth Avg. GDP gr. Avg. GDP gr. Avg. GDP gr.
GDP growth (-1) 0.208** 0.26*** 0.276** 0.127 0.187** 0.155*
(2.11) (2.99) (2.54) (1.58) (2.56) (1.80)
GDP growth (-2) 0.112 0.13 0.072 0.079 0.06 0.036
(1.26) (1.59) (0.74) (1.09) (0.88) (0.47)
G7 GDP growth (-1) 0.068 -0.05 0.108 -0.048 -0.15 -0.04
(0.44) (-0.37) (0.61) (-0.39) (-1.33) (-0.30)
Debt (-1) -0.013** -0.010* -0.013* -0.014** -0.008* -0.012*
(-2.08) (-1.74) (-1.95) (-2.43) (-1.69) (-1.99)
Δ Tran -0.057 -0.30
(-0.20) (-1.27)
Δ Gov. non wage exp. -1.53** -0.46
(-2.59) (-0.94)
Δ Gov. wage exp. -1.18*** -1.05***
(-2.66) (-2.85)
Δ Subsidies -1.98** -1.84***
(-2.61) (-2.93)
Δ Gov. Inv 0.044 -0.002
(0.32) (-0.02)
Δ Income taxes -0.016 0.04
(-0.06) (0.18)
Δ Bus. taxes -0.57* -0.79***
(-1.92) (-3.19)
Δ Soc. security contr. -0.04 -0.24
(-0.10) (-0.64)
Δ Indirect taxes -0.19 -0.37
(-0.43)
()
(-1.03)
()
Δ other taxes -0.27 0.106
(-0.50) (0.24)
Δ Pr. Deficit -0.084 0.051 -0.022 0.077
(-0.70) (0.35) (-0.22) (0.67)
Δ Tran/Δ Pr. Deficit 0.006 0.009*
(1.01) (1.93)
Δ Gov. non wage exp./Δ Pr. Deficit 0.025** 0.005
(2.23) (0.56)
Δ Gov. wage exp/Δ Pr. Deficit 0.026*** 0.022***
(3.16) (3.04)
Δ Subsidies/Δ Pr. Deficit 0.043*** 0.036***
(2.69) (2.66)
Δ Gov. Inv/Δ Pr. Deficit -0.0004 0.0026
(-0.08) (0.66)
Δ Income taxes/Δ Pr. Deficit -0.009 -0.005
(-1.42) (-1.11)
Δ Bus. taxes/Δ Pr. Deficit -0.011 -0.015*
(-1.16) (-1.84)
Δ Soc. security contr./Δ Pr. Deficit -0.01 -0.015*
(-1.04) (-1.93)
Δ Indirect taxes/Δ Pr. Deficit -0.015 -0.02***
(-1.62) (-2.68)
Δ other taxes/Δ Pr. Deficit 0.0012 0.0001
(0.11) (0.01)
Constant 0.024*** 0.019*** 0.033*** 0.03*** 0.025*** 0.04***
(3.29) (3.11) (3.99) (4.92) (4.56) (5.78)
Observations 81 88 80 77 83 76
R-squared 0.47 0.46 0.28 0.41 0.38 0.26
Notes: OLS regressions. Dependent variables: real GDP growth rate during the fiscal adjustment in columns 1-3; average real GDP growth
rate during the fiscal adjustment and in the following two years in columns 4-6. T-statistics in parenthesis.
S h A di f h d fi i i f h i bl
See the Data Appendix for the exact definition of the variables.
Δ
Inv
0.036
Table 11: GDP growth and fiscal policy
(1) (2) (3) (4) (5) (6) (7) (8) 9
GDP growth GDP growth GDP growth GDP growth GDP growth GDP growth GDP growth GDP growth GDP growth
GDP growth (-1) 0.35*** 0.37*** 0.37*** 0.34*** 0.36*** 0.37*** 0.34*** 0.35*** 0.36***
(8.37) (9.24) (9.45) (8.14) (8.98) (9.21) (7.99) (8.77) (8.93)
GDP growth (-2) -0.038 0.016 0.014 -0.035 0.02 0.017 -0.03 0.026 0.025
(-0.91) (0.41) (0.36) (-0.84) (0.51) (0.43) (-0.71) (0.65) (0.62)
Debt (-1) -0.004 -0.005 -0.005 -0.004 -0.005 -0.005 -0.004 -0.005 -0.005
(-1.09) (-1.31) (-1.34) (-1.04) (-1.22) (-1.27) (-1.10) (-1.28) (-1.39)
Δ Pr. Deficit -0.154*** -0.145*** -0.131** -0.136** -0.11 -0.14
(-3.98) (-3.99) (-1.99) (-2.19) (-1.08) (-1.58)
Tight*Δ Pr. Deficit 0.12 0.16
(0.74) (1.05)
Loose*Δ Pr. Deficit -0.213 -0.126
(-1.27) (-0.80)
Δ Curr. G -0.51*** -0.51*** -0.51***
(-8.37) (-6.20) (-4.59)
Tight*Δ Curr. G 0.29
(1.48)
Loose*Δ Curr. G -0.25
(-1.21)
Δ Gov. Inv -0.07 -0.067 0.006
(-1.16) (-0.89) (0.04)
Ti
g
ht*Δ Gov. Inv
Tight
Gov.
0.036
(0.19)
Loose*Δ Gov. Inv -0.246
(-1.22)
Δ Ta
x
-0.12** -0.12 -0.134
(-1.97) (-1.45) (-1.29)
Tight*Δ Ta
x
0.025
(0.11)
Loose*Δ Ta
x
0.038
(0.17)
Δ Curr. G + Δ Ta
x
0.314*** 0.312*** 0.315***
(8.36) (8.32) (7.05)
Tight*Δ Curr. G + Δ Ta
x
-0.145
(-1.52)
Loose*Δ Curr. G + Δ Ta
x
0.124
(1.34)
Tight -0.0016 -0.0024 -0.0020 0.0019 0.0006 0.0015
(-0.69) (-1.05) (-0.87) (0.52) (0.16) (0.44)
Loose -0.0038 -0.0027 -0.003 0.0014 0.002 0.0017
(-1.45) (-1.11) (-1.23) (0.35) (0.53) (0.44)
Observations 569 569 569 569 569 569 569 569 569
R-squared 0.58 0.64 0.63 0.59 0.64 0.64 0.59 0.64 0.64
Notes: OLS regressions. Dep. var.: real GDP growth rate. Tight=1 in period of a fiscal adjustment, 0 otherwise. Loose = 1 in period of a fiscal stimulus, 0 otherwise. Country and year dummies included. T-stat in (). See Data Appendix.
Fi
sca
Adj
men s
Table A1: Episodes of fiscal stimuli and adjustments
Fiscal Stimuli
Australia 1990 1991
Austria 1975 2004
Belgium 1975 1981 2005
Canada 1975 1982 1991 2001
Denmark 1974 1975 1980 1981 1982
Finland 1978 1982 1983 1987 1990 1991 1992 2001 2003
France 1975 1981 1992 1993 2002
Germany 1995 2001
Greece 1981 1985 1989 1995 2001
Ireland 1974 1975 1978 2001 2007
Italy 1972 1975 1981 2001
Japan 1975 1993 1998 2005 2007
Netherlands 1975 1980 1995 2001 2002
New Zealand 1988
Norway 1974 1976 1977 1986 1987 1991 1998 2002 2007
Portugal 1978 1985 1993 2005
Spain 1981 1982 1993
Sweden 1974 1977 1979 1980 1991 1992 2001 2002
United Kingdom 1971 1972 1973 1990 1991 1992 2001 2002 2003
United States 2002
Fiscal Adjustments
l
us
t t
Australia 1987 1988
Austria 1984 1996 1997 2005
Belgium 1982 1984 1987 2006
Canada 1981 1986 1987 1995 1996 1997
Denmark 1983 1984 1985 1986 2005
Finland 1973 1976 1981 1984 1988 1994 1996 1998 2000
France 1979 1996
Germany 1996 2000
Greece 1976 1986 1991 1994 1996 2005 2006
Ireland 1976 1984 1987 1988 1989 2000
Italy 1976 1980 1982 1990 1991 1992 1997 2007
Japan 1984 1999 2001 2006
Netherlands 1972 1973 1983 1988 1991 1993 1996
New Zealand 1987 1989 1993 1994 2000
Norway 1979 1980 1983 1989 1996 2000 2004 2005
Portugal 1982 1983 1986 1988 1992 1995 2002 2006
Spain 1986 1987 1994 1996
Sweden 1981 1983 1984 1986 1987 1994 1996 1997 2004
United Kingdom 1977 1982 1988 1996 1997 1998 2000
uga
1986
1988
1995
Table A2
Expansionary Fiscal Stimuli
Canada 2001
Finland 1978 1987
Greece 2001
Ireland 1974 1975 1978 2001 2007
Italy 1972
Japan 1975
Netherlands 1995
Norway 1974 1991 2007
Portugal 1978 1985
United Kingdom 2001 2002 2003
Expansionary Fiscal Adjustments
Finland 1973 1996 1998 2000
Greece 1976 2005 2006
Ireland 1976 1987 1988 1989 2000
Netherlands 1996
New Zealand 1993 1994 2000
Norway 1979 1980 1983 1996
Portugal
P
or
t l
1986
1988
1995
Spain 1986 1987
Sweden 2004
Successful Fiscal Adjustments
Austria 2005
Denmark 2005
Finland 1998
Ireland 2000
Italy 1982
Netherlands 1972 1973 1993 1996
New Zealand 1993 1994
Norway 1979 1980 1989 1996
Sweden 1986 1987 2004
United Kingdom 1977 1988 2000