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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.

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Presentation on theme: "THE ACADEMY OF ECONOMIC STUDIES, BUCHAREST DOCTORAL SCHOOL OF FINANCE AND BANKING DISSERTATION PAPER Fiscal Policy and Economic Growth in European Union."— Presentation transcript:

1 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 Supervisor: Professor Moisă Altăr BUCHAREST, JULY 2003

2 1.Empirical Evidence 2.Theoretical Background 3.Methodology 4.Data 5.Estimation Results 6.Conclusions

3 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

4 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

5 2.Theoretical Background  endogenous growth  constant returns to a broad concept of capital Y=Ak  constant returns to scale in k and g together but diminishing returns in k separately Barro (1990)

6 0 20 40 60 80 100 Government (tax) share Growth rate

7 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

8 4.The Data  annual data for the EU countries from 1977 till 1997 Source : World Bank, 2002, World Development Indicators SymbolVariable name GDPReal gross domestic product growth per capita GCONSGeneral government final consumption expenditure as percent of gross domestic product TEXPGovernment total expenditure as percent of gross domestic product REVGovernment tax revenues as percent of gross domestic product CAPFGross fixed capital formation as percent of gross domestic product DGCONSGCONS change in percentage points DTEXPTEXP change in percentage points DREVREV change in percentage points DCAPFCAPF change in percentage points

9 (1)(2) Dep. var.GDP No. obs.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) DCAPF0.7271 (10.39)0.6937 (8.99) R2R2 0.420.36 0.01670.0175 5.Estimation Results

10

11

12 (1)(2) FEREFERE Dep. var.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) DCAPF0.7254 (11.47)0.7257 (11.53)0.7005 (9.85)0.6989 (9.79) R2R2 0.550.540.490.46 0.01500.01490.01610.0162 Fixed Effects vs. Random Effects Hausman Test test statistics are -0.025 respectively 0.021. critical value at 5% level

13 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 VariableCoefficientStd. Errort-StatisticProb. D(CAPF?)0.7254860.06320411.478420.0000 D(GCONS?)-1.2286270.136293-9.0145690.0000 D(REV?)-0.1832710.068199-2.6873080.0076 _AUT--C0.0221140.0032856.7316850.0000 _BEL--C0.0203680.0032836.2046280.0000 _DEN--C0.0179920.0032855.4772890.0000 _FIN--C0.0271670.0032988.2362910.0000 _FRA--C0.0218540.0032936.6353660.0000 _GER--C0.0180520.0032805.5032600.0000 _GRE--C0.0122650.0032843.7349470.0002 _IRE--C0.0403290.00329312.248110.0000 _ITA--C0.0261520.0033237.8699030.0000 _LUX--C0.0369650.00328011.268580.0000 _NED--C0.0146320.0032844.4551220.0000 _POR--C0.0333210.00330310.087480.0000 _SPA--C0.0269090.0033028.1485800.0000 _SWE--C0.0156940.0032864.7752370.0000 _UK--C0.0196190.0032925.9605050.0000 R-squared0.559056 Mean dependent var0.021169 Adjusted R-squared0.533816 S.D. dependent var0.021994 S.E. of regression0.015017 Sum squared resid0.066979 Log likelihood884.8459 F-statistic22.15025 Durbin-Watson stat1.587439 Prob(F-statistic)0.000000

14 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 VariableCoefficientStd. Errort-StatisticProb. D(CAPF?)0.7005920.0710709.8578190.0000 D(TEXP?)-0.2657340.047714-5.5693410.0000 D(REV?)-0.1547690.076941-2.0115330.0452 _AUT--C0.0217310.0035276.1606150.0000 _BEL--C0.0204120.0035265.7894220.0000 _DEN--C0.0181640.0035275.1494350.0000 _FIN--C0.0257540.0035377.2808450.0000 _FRA--C0.0205420.0035315.8172090.0000 _GER--C0.0192910.0035245.4737970.0000 _GRE--C0.0111670.0035233.1698040.0017 _IRE--C0.0420330.00352611.921390.0000 _ITA--C0.0261870.0035687.3384080.0000 _LUX--C0.0366660.00352310.407820.0000 _NED--C0.0165920.0035194.7148580.0000 _POR--C0.0308100.0035328.7222620.0000 _SPA--C0.0252350.0035377.1339600.0000 _SWE--C0.0165460.0035314.6858620.0000 _UK--C0.0216120.0035236.1341150.0000 R-squared0.491513 Mean dependent var0.021169 Adjusted R-squared0.462407 S.D. dependent var0.021994 S.E. of regression0.016126 Sum squared resid0.077239 Log likelihood862.3989 F-statistic16.88738 Durbin-Watson stat1.784239 Prob(F-statistic)0.000000

15 (1)(2) OLSGMMOLSGMM Dep. var.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) DCAPF0.5723 (8.38)0.5848 (6.35)0.6126 (8.00)0.6020 (5.02) R2R2 0.59 0.50 0.0144 0.0159  Ahn and Schmidt (1993) - GMM estimator  Balestra and Nerlove (1966) OLS vs. GMM Hausman Test test statistics are 0.40 respectively 0.37 critical value

16 Model (1)

17 Model (2)

18 (1)(2) Dep. var.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) DCAPF0.6503 (7.93)0.6910 (7.78) R2R2 0.600.53 0.01440.0158 Fixed Effects with Cross Section Weights

19 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

20 Shortcomings:  economic growth has many determinants  data with measurement errors  tax revenues as proxy for tax rates  government total expenditure separated on types

21 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.

22 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 6252 Sevestre, 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)


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