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THE ACADEMY OF ECONOMIC STUDIES, BUCHAREST DOCTORAL SCHOOL OF FINANCE AND BANKING DISSERTATION PAPER Fiscal Policy and Economic Growth in European Union Countries MSc Student: Zoescu Mihai - PowerPoint PPT Presentation
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THE ACADEMY OF ECONOMIC STUDIES, BUCHARESTDOCTORAL SCHOOL OF FINANCE AND BANKING
DISSERTATION PAPER
Fiscal Policy and Economic Growth in European Union Countries
MSc Student: Zoescu Mihai
Supervisor: Professor Moisă Altăr
BUCHAREST, JULY 2003
1.Empirical Evidence
2.Theoretical Background
3.Methodology
4.Data
5.Estimation Results
6.Conclusions
Ram (1986)
115 countries - 1960-1980 (Summers-Heston database)
estimations for each country based on time-series
positive impact of government size in 100 cases
positive impact of marginal government size in 98 cases
1.Empirical Evidence
Barro (1991)
cross-country evidence on 98 countries, 1960-1985
(Summers-Heston database)
growth inversely related to the share of
government consumption in GDP
growth insignificantly related to the share of public investment
Folster and Henrekson (2000)
panel study on OECD sample, 1970–95 period
government consumption is significantly negatively related to growth
robust negative relationship between government expenditure and growth
Heitger (2001)
panel estimates for 21 OECD countries, 1960–2000
negative and statistically highly significant relation
government expenditures - economic growth
all subcategories of consumptive government expenditures:
significantly negative impact
2.Theoretical Background
0
)( dtecuU t
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endogenous growth
constant returns to a broad concept of capital
Y=Akconstant returns to scale in k and g together but diminishing returns in k separately
11
1
k
g
c
c
11
)/(
k
g
yg
Barro (1990)
0 20 40 60 80 100 Government (tax) share
Growth rate
11
1
k
ghgh
Panel data
Advantages:
double dimension
a better representation of the dynamic behavior of the individuals
takes into account individuals heterogeneity
data are numerous
the biases and the variance of estimation go to zero
are very precise
Inconveniences:
the existence of aberrant observations
missing observations
3.Methodology
4.The Dataannual data for the EU countries from 1977 till 1997
Source : World Bank, 2002, World Development Indicators
Symbol Variable name
GDP Real gross domestic product growth per capita
GCONS General government final consumption expenditure as percent of gross domestic product
TEXP Government total expenditure as percent of gross domestic product
REV Government tax revenues as percent of gross domestic product
CAPF Gross fixed capital formation as percent of gross domestic product
DGCONS GCONS change in percentage points
DTEXP TEXP change in percentage points
DREV REV change in percentage points
DCAPF CAPF change in percentage points
ntntntntnt DGCONSbDREVbDCAPFbcGDP 321
ntntntntnt DTEXPbDREVbDCAPFbcGDP 321
(1) (2)
Dep. var. GDP GDP
No. obs. 315 315
Const. 0.0235 (24.35) 0.0234 (23.12)
DGCONS -1.2133 (-8.17) -
DTEXP - -0.2848 (-5.49)
DREV -0.1607 (-2.14) -0.1235 (-1.48)
DCAPF 0.7271 (10.39) 0.6937 (8.99)
R2 0.42 0.36
0.0167 0.0175
5.Estimation Results
-.08
-.04
.00
.04
.08
.12
-.08 -.04 .00 .04 .08
DREV
GD
P
GDP vs. DREV
-.08
-.04
.00
.04
.08
.12
-.02 .00 .02 .04
DGCONS
GD
P
GDP vs. DGCONS
-.08
-.04
.00
.04
.08
.12
-.08 -.04 .00 .04
DCAPF
GD
P
GDP vs. DCAPF
-.08
-.04
.00
.04
.08
.12
-.2 -.1 .0 .1 .2
TEXP
GD
P
GDP vs. TEXP
(1) (2)
FE RE FE RE
Dep. var. GDP GDP GDP GDP
DGCONS -1.2286 (-9.01) -1.2264 (-9.05) - -
DTEXP - - -0.2657 (-5.56) -0.2702 (-5.64)
DREV -0.1832 (-2.68) -0.1802 (-2.65) -0.1547 (-2.01) -0.1472 (-1.90)
DCAPF 0.7254 (11.47) 0.7257 (11.53) 0.7005 (9.85) 0.6989 (9.79)
R2 0.55 0.54 0.49 0.46
0.0150 0.0149 0.0161 0.0162
Fixed Effects vs. Random Effects
Hausman Test
•test statistics are -0.025 respectively 0.021.
•critical value at 5% level 814.732
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Dependent Variable: GDP?
Method: Pooled Least Squares
Sample(adjusted): 1977 1997
Included observations: 21 after adjusting endpoints
Number of cross-sections used: 15
Total panel (balanced) observations: 315
Variable Coefficient Std. Error t-Statistic Prob.
D(CAPF?) 0.725486 0.063204 11.47842 0.0000
D(GCONS?) -1.228627 0.136293 -9.014569 0.0000
D(REV?) -0.183271 0.068199 -2.687308 0.0076
_AUT--C 0.022114 0.003285 6.731685 0.0000
_BEL--C 0.020368 0.003283 6.204628 0.0000
_DEN--C 0.017992 0.003285 5.477289 0.0000
_FIN--C 0.027167 0.003298 8.236291 0.0000
_FRA--C 0.021854 0.003293 6.635366 0.0000
_GER--C 0.018052 0.003280 5.503260 0.0000
_GRE--C 0.012265 0.003284 3.734947 0.0002
_IRE--C 0.040329 0.003293 12.24811 0.0000
_ITA--C 0.026152 0.003323 7.869903 0.0000
_LUX--C 0.036965 0.003280 11.26858 0.0000
_NED--C 0.014632 0.003284 4.455122 0.0000
_POR--C 0.033321 0.003303 10.08748 0.0000
_SPA--C 0.026909 0.003302 8.148580 0.0000
_SWE--C 0.015694 0.003286 4.775237 0.0000
_UK--C 0.019619 0.003292 5.960505 0.0000
R-squared 0.559056 Mean dependent var 0.021169
Adjusted R-squared 0.533816 S.D. dependent var 0.021994
S.E. of regression 0.015017 Sum squared resid 0.066979
Log likelihood 884.8459 F-statistic 22.15025
Durbin-Watson stat 1.587439 Prob(F-statistic) 0.000000
Dependent Variable: GDP?
Method: Pooled Least Squares
Sample(adjusted): 1977 1997
Included observations: 21 after adjusting endpoints
Number of cross-sections used: 15
Total panel (balanced) observations: 315
Variable Coefficient Std. Error t-Statistic Prob.
D(CAPF?) 0.700592 0.071070 9.857819 0.0000
D(TEXP?) -0.265734 0.047714 -5.569341 0.0000
D(REV?) -0.154769 0.076941 -2.011533 0.0452
_AUT--C 0.021731 0.003527 6.160615 0.0000
_BEL--C 0.020412 0.003526 5.789422 0.0000
_DEN--C 0.018164 0.003527 5.149435 0.0000
_FIN--C 0.025754 0.003537 7.280845 0.0000
_FRA--C 0.020542 0.003531 5.817209 0.0000
_GER--C 0.019291 0.003524 5.473797 0.0000
_GRE--C 0.011167 0.003523 3.169804 0.0017
_IRE--C 0.042033 0.003526 11.92139 0.0000
_ITA--C 0.026187 0.003568 7.338408 0.0000
_LUX--C 0.036666 0.003523 10.40782 0.0000
_NED--C 0.016592 0.003519 4.714858 0.0000
_POR--C 0.030810 0.003532 8.722262 0.0000
_SPA--C 0.025235 0.003537 7.133960 0.0000
_SWE--C 0.016546 0.003531 4.685862 0.0000
_UK--C 0.021612 0.003523 6.134115 0.0000
R-squared 0.491513 Mean dependent var 0.021169
Adjusted R-squared 0.462407 S.D. dependent var 0.021994
S.E. of regression 0.016126 Sum squared resid 0.077239
Log likelihood 862.3989 F-statistic 16.88738
Durbin-Watson stat 1.784239 Prob(F-statistic) 0.000000
(1) (2)
OLS GMM OLS GMM
Dep. var. GDP GDP GDP GDP
GDP(-1) 0.2180 (4.95) 0.1889 (2.52) 0.1383 (2.88) 0.1504 (1.19)
DGCONS -1.3301 (-10.01) -1.3189 (-9.13) - -
DTEXP - - -0.2597 (-5.50) -0.2750 (-3.55)
DREV -0.1976 (-3.00) -0.1933 (-2.98) -0.1741 (-2.28) -0.1818 (-1.77)
DCAPF 0.5723 (8.38) 0.5848 (6.35) 0.6126 (8.00) 0.6020 (5.02)
R2 0.59 0.59 0.50 0.50
0.0144 0.0144 0.0159 0.0159
Ahn and Schmidt (1993) - GMM estimatorBalestra and Nerlove (1966) 1,, XXDZ
OLS vs. GMM
Hausman Test •test statistics are 0.40 respectively 0.37•critical value 78.71.0,42
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11,
-.06
-.04
-.02
.00
.02
.04
.06
-.08
-.04
.00
.04
.08
.12
50 100 150 200 250 300
Residual Actual Fitted
Model (1)
-.08
-.04
.00
.04
.08
-.08
-.04
.00
.04
.08
.12
50 100 150 200 250 300
Residual Actual Fitted
Model (2)
(1) (2)
Dep. var. GDP GDP
GDP(-1) 0.1937 (4.61) 0.1227 (2.82)
DGCONS -1.2013 (-9.90) -
DTEXP - -0.3085 (-4.41)
DREV -0.1901 (-3.37) -0.1748 (-2.42)
DCAPF 0.6503 (7.93) 0.6910 (7.78)
R2 0.60 0.53
0.0144 0.0158
Fixed Effects with Cross Section Weights
6.Conclusions
tax rates have a negative impact on economic growth
the level of tax rates is beyond the optimum point
the relation: government expenditures - economic growth is negative
and highly significant
government expenditures are situated above the point of
maximum economic growth
government consumption has a much greater negative impact
on output growth than total government expenditure
Shortcomings:
economic growth has many determinants
data with measurement errors
tax revenues as proxy for tax rates
government total expenditure separated on types
References
Barro, Robert (1990), “Government spending in a simple model of endogenous growth”, Journal of Political Economy, 98(5), S103-117.
Barro, Robert (1990), “Economic Growth in a Cross Section of Countries”, The Quaterly Journal of Economics, Volume 106, 407-443.
Barro, R. and Sala-i-Martin, X. (1992), “Public finance in models of economic growth”, Review of Economic Studies, 59, 645-61.
Barro, R. and Sala-i-Martin, X. (1995), “Economic Growth”, The MIT Press Cambridge, Massachusetts London, England, pp 153-161.
Blanchard, O. and Perotti R. (1998), “An Empirical Characterization of the Dynamic Effects of Changes in Government Spending and Taxes on Output”, NBER, WP 7269
Corsetti, G. and Roubini, N. (1996), “Optimal Government Spending and Taxation in Endogenous Growth Models”, NBER, WP 5851
Devereux, M. and Love, D. (1995), “The Dynamic Effects of Government Spending Policies in a Two Sector Endogenous growth Model”, Journal of Money, Credit and Banking, Volume 27, 232-256.
Fölster, Stefan, Henrekson, Magnus (2000), “Growth Effects of Government Expenditure and Taxation in Rich Countries”, The European Economic Review.
Gale, W. and Easterly, W. (1995), “What Do Cross-Country Studies Teach about Government Involvement, Prosperity and Economic growth? Comments and Discussion”, Brookings Papers on Economic Activity, Volume 1995, 416-431.
Gerson, Philip (1998), “The Impact of Fiscal Policy Variables on Output Growth”, IMF WP/98/1.Greene, William H. (2000), “Econometric Analysis”, Fourth Edition, Prentice Hall
International, Inc., New Jersey.Gupta, S., Clements B., Baldacci E. and Mulas-Granados, C., “Expenditure Composition, Fiscal Adjustment,
and Growth in Low-Income Countries”, IMF WP/02/77.Heitger, Bernhard (2001), “The Scope of Government and Its Impact on Economic
Growth in OECD Countries”, Kiel WP No. 1034.Islam, Nazrul (1995), “Growth Empirics: A Panel Data Aproach”, The Quarterly Journal of Economics,
Volume 110, 1127-1170.Jones, L., Manuelli, R. and Rossi P. (1993), “Optimal taxation in models of endogenous growth”,
Journal of Political Economy, 101(3), 485-519. King, R., and Rebelo, S. (1990), “Public Policy and economic growth: Developing
neoclassical implications”, Journal of Political Economy, 98(5), S126-51.Levine, Ross and Renelt, David (1992), “A Sensitivity Analysis of Cross-Country
Growth Regressions”, The American Economic Review, Volume 82, 942-963.Perotti, Roberto (2002), “Estimating the Effects of Fiscal Policy in OECD Countries”,
BCE WP no.168.Ram, R. (1986), “Government size and economic growth: A new framework and some evidence from
cross-section and time series data”, The American Economic Review, 76(1), 191-203.Sala-i-Martin, Xavier (1997), “I just run four million regressions”, NBER, WP 6252Sevestre, Patrick (2002), “Econometrie des donnees de panel”, Dunod, Paris. Stokey, N. and Rebelo, S. (1995), “Growth effects of flat-rate taxes”, Journal of Political Economy,
103(3), 510-50.***The World Bank, World Development Indicators (2002)