Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
ACADEMY OF ECONOMIC STUDIES DOCTORAL SCHOOL OF FINANCE AND BANKING OUTPUT CONVERGENCE IN EU AND ACCESSION COUNTRIES Author: MSc Catalina Constantinescu Supervisor: Moisa Altar Convergence aspects in European Union • Nominal convergence – Maastricht Convergence Criteria (for EMU) • Real convergence – restructuring the old economic system – catching up with the productivity and per capita income levels of mature market economies Literature review Convergence: Countries with high output per capita must grow less then countries with low output per capita. • Romer (1986), Lucas (1998) - predictions of dynamic equilibrium models for long-term behavior • Baumol (1986), Barro (1991), Barro and Sala-i-Martin (1991, 1992, 1995), Mankiw, Romer and Weil (1992) – negative cross-section correlation between initial income and growth rates → convergence Problems for cross-section methodology: - using production function with diminishing marginal product of capital - null hypothesis: no countries are converging • Bernard and Durlauf (1991, 1995), Quah (1996), De la Fuente (2000), St.Aubyn (1999), Lim and McAleer (2000), Estrin and Urga (1997) – time series methods for testing convergence Definitions for convergence in time series framework Bernard and Durlauf (1991) Condition: Output series contain stochastic trend Definition 1. Convergence in output Countries i and j converge if the long-term forecast of output for both countries are equal at fixed time t: lim E ( y k i ,t k y j ,t k | I t ) 0 Definition 2. Common trends in output Countries i and j contain a common trend if the long-term forecast of output are proportional at a fixed time t: lim E ( y k i ,t k y j ,t k | I t ) 0 Implications : • Convergence for a group of countries → identical long-run trends, either stochastic or deterministic. • Common trends → proportionality of the stochastic elements. • Zero mean stationary processes. Econometric methodology • Verspagen (1994) Wi,t = yi,t – y*t where: yi,t log real GDP per capita for country i at time t y*t average log real GDP per capita for the countries in the sample W changes according to the following process: Wi,t+1 = Ψ*Wi,t Ψ > 1→ per capita income in country i diverges from the sample group; Ψ < 1→ convergence of income takes place. Convergence tests for pairs of countries “Achieved convergence” • The Augmented Dickey-Fuller test Variables: differences between logarithm of GDP per capita series of two countries • Cointegration test (Johansen methodology) Variables: logarithm of GDP per capita series for two countries - [1,-1] cointegrating vector → convergence - [1,-α] cointegrating vector → common trend “Ongoing convergence” • Kalman filter method (St. Aubyn 1999) yi ,t y j ,t t t (1) (2) (3) t N (0, 2 ) t 1 t t 1 t N (0, t ) t t 1 0 known 2 H0: Φ=1 against H1: Φ<1 1 se ( ) Empirical Analysis Data - Annual GDP per capita in PPP (USD) - World Bank Data Base - Countries from EU: Denmark, Belgium, Netherlands, Germany, France, United Kingdom and Italy (1975-2000). - EU periphery countries: Spain, Portugal and Greece (1975-2000). - 10 accession countries: - Cyprus, Malta, Hungary, Latvia (1975-2000) - Slovak Republic (1984-2000) - Estonia (1987-2000 ) - Poland and Lithuania (1990-2000) - 2 more accession countries: Romania and Bulgaria (1980-2000) Log GDP per capita for countries from European Union 10.40 9.90 9.40 8.90 8.40 Denmark Italy Belgium Greece Germany United Kingdom Portugal 00 99 20 19 98 19 97 96 19 19 95 94 19 19 93 19 92 91 19 19 90 89 France Netherlands Spain 19 19 88 19 87 86 19 19 85 84 19 19 83 19 82 81 19 19 80 79 19 19 78 19 77 76 19 19 19 75 7.90 Empirical results Verspagen test Country Ψ Adjusted R squared Denmark 0.98032 0.756885 Belgium 0.998976 0.109907 Netherlands 0.913831 0.858455 Germany 0.884592 0.502831 France 1.016855 0.773264 United Kingdom 0.981433 0.497414 Italy 0.943208 0.920861 Country Ψ Adjusted R squared Denmark 0.983914 0.752599 Netherlands 0.888714 0.861127 0.96035 0.491654 0.930739 0.764081 0.9782 0.542527 0.92659 0.908997 Germany France United Kingdom Italy Country Spain Ψ Adjusted R squared 0.982911 0.803116 Portugal Greece 0.922373 0.950801 0.965001 0.949905 Belgium Netherlands Germany France United Kingdom I(1) I(1) I(0) I(1) I(1) I(1) Cointegration [1,-1] 0.847 0.027 0.945 0.036 0.304 0.313 Kalman filter -3.023 -0.353 -2.483 -0.132 -0.892 -3.023 I(1) I(0) I(1) I(1) I(1) Cointegration [1,-1] 0.218 0.12 0.179 0.001 0.003 Kalman filter -0.368 -2.487 -1.946 -2.82 0.007 ADF I(0) I(1) I(1) I(0) Cointegration [1,-1] 0..00 0.00 0.00 0.00 Kalman filter -0.431 -2.937 -1.907 -2.363 I(0) I(1) I(0) Cointegration [1,-1] 0.0011 0.002 0.308 Kalman filter -6.502 4.208 -4.946 ADF I(0) I(0) Cointegration [1,-1] 0.00 0.921 -0.117 -6.527 Convergence test results ADF Denmark ADF Belgium Netherlands ADF Germany France Kalman filter ADF United Kingdom Italy I(1) Cointegration [1,-1] 0.027 Kalman filter -3.845 Convergence test results ADF Spain France Italy I(1) I(1) I(1) I(1) Cointegration [1,-1] 0.924 0.000 0.000 0.000 0.000 Kalman filter -3.117 -5.708 -2.001 -0.248 -2.033 I(0) I(1) I(0) I(1) Cointegration [1,-1] 0.004 Non cointegrated 0.907 Non cointegrated Kalman filter -3.57 -0.652 -0.018 0.0361 I(1) I(1) I(1) Cointegration [1,-1] 0.034 0.717 0.044 Kalman filter -1.619 -2.579 -2.429 ADF Greece Germany I(0) ADF Portugal Portugal Greece Log GDP per capita for accession countries 10 9.5 9 8.5 8 7.5 Cyprus Latvia Poland Romania Estonia Lithuania Slovak Republic Hungary Malta Bulgaria 19 99 19 97 19 95 19 93 19 91 19 89 19 87 19 85 19 83 19 81 19 79 19 77 19 75 7 Verspagen tests Country Ψ Adjusted R squared Cyprus 1.031324 0.941309 Malta 0.965348 0.952942 Hungary 0.860037 0.929309 Latvia 1.035503 0.924918 Country Ψ Adjusted R squared Cyprus 1.031915 0.802815 Malta 1.015785 0.871978 Hungary 0.570556 0.191988 Latvia 1.036693 0.81199 Estonia 1.004835 0.687855 Slovak 0.928012 0.209155 Country Ψ Adjusted R squared Cyprus 1.026108 0.130426 Malta 1.049914 0.368951 Hungary 0.970821 -0.09418 Latvia 1.026997 0.338245 Estonia 0.968953 0.200447 Slovak 0.636324 0.078729 Poland 0.901208 0.780803 1.07464 0.725657 Lithuania Country Ψ Adjusted R squared Cyprus 1.031178 0.213404 Malta 1.061896 0.505355 Hungary 1.023528 0.131505 Latvia 0.997075 0.291233 Estonia 0.88692 0.427853 Slovak 0.978899 0.403625 Poland 0.845481 0.869723 Lithuania 1.037716 0.63805 Romania 1.059069 0.620672 Bulgaria 1.04425 0.763662 Convergence test results Malta Hungary Latvia Slovak R. Estonia Spain I(1) I(1) I(1) I(1) I(1) I(0) Cointegration [1,-1] 0.000 Non cointegrated Non cointegrated 0.017 0.518 0.118 Kalman filter 0.268 -2.457 1.891 -2.198 -3.523 -3.628 I(0) I(1) I(1) I(1) I(0) Cointegration [1,-1] 0.000 Non cointegrated Non cointegrated 0.000 0.000 Kalman filter -1.78 0.557 -0.3 -2.64 -3.41 I(1) I(0) I(1) I(1) 0.924 ADF Cyprus ADF Malta ADF Hungary Cointegration [1,-1] Non cointegrated 0.241 Non cointegrated Kalman filter 0.671 0.367 -0.022 -1.501 I(1) I(1) I(1) Cointegration [1,-1] Non cointegrated Non cointegrated Non cointegrated Kalman filter -0.391 -4.95 0.731 ADF Latvia ADF Slovak Rep ublik I(1) Cointegration [1,-1] 0.030 Kalman filter -0.276 Convergence test results Romania Bulgaria ADF I(1) I(1) Cointegration [1,-1] 0.000 0.003 Kalman filter 0.345 0.4 I(1) I(1) Cointegration [1,-1] 0.000 0.000 Kalman filter 0.522 0.522 I(0) I(1) Cointegration [1,-1] 0.000 Non-cointegrated Kalman filter 1.072 --- I(0) I(1) Non-cointegrated 0.002 --- 0.581 Cyprus ADF Malta ADF Hungary ADF Latvia Cointegration [1,-1] Kalman filter ADF Romania I(0) Cointegration [1,-1] 0.000 Kalman filter 0.211 Conclusions • Some evidence of convergence for European Union countries • All EU countries have common trends • EU periphery countries form an ongoing convergent group • Accession countries form a heterogeneous group of economies • Counteracts for inadequate real convergence: - wage flexibility in the accession countries, migration to the EU core countries and large fiscal transfers from the EU to the new Member States. - structural issues for the new members References • Barro, R.J. (1991), “Economic Growth in a Cross-Section of Countries”, Quarterly Journal of Economics, 106. • Barro, R.J. and Sala-i-Martin (1991a), “Convergence Across States and Regions”, Brookings Papers on Economic Activity, 1. • (1992b), “Convergence”, Journal of Political Economy, 100. • (1995c), “Economic Growth”, McGraw-Hill, New-York. • Baumol, W.J. (1986), “Productivity Growth, Convergence and Welfare: What the Long Run Data Show”, American Economic Review, 76. • Bergs, Rolf (2001) “EU Regional and Cohesion Policy and Economic Integration of the Accession Countries”, Policy Research & Consultancy (Germany), Discussion Papers. • Bernard, A.B. and S.N. Durlauf (1991a), “Convergence of International Output Movements”, NBER W.P.3717. • (1995b), “Convergence in International Output”, Journal of Applied Econometrics, 10. • (1996c), “Interpreting Tests of the Convergence Hypothesis”, Journal of Econometrics,71 • Van Eden, Holger, Albert de Groot, Elisabeth Ledrut, Gerbert Romijn and Lucio Vinhas de Souza (1999) “EMU and Enlargement: A Review of Policy Issues”, European Parliament Economic Affairs Series ECON 117 EN 12/99). • Enders, Walter (1995), “Applied Econometric Time Series”, John Wiley & Sons, Inc. • Estrin, Saul and Giovanni Urga (1997), “Convergence in Output in Transitions Economies Central and Eastern Europe 1970-1995”, The Williamson Davidson Institute WP30. • De la Fuente, Angel (2000), “Convergence Across Countries and Regions: Theory and Empirics”, Instituto de Analisis Economico WP 44700. • Hamilton, James D. (1994), “Time Series Analysis”, Princeton University Press. • Lim, Lee Kian and Michael McAleer (2000), “Convergence and Catching Up in South East Asia: A Comparative Analysis”, University of Western Australia, Department of Economics. • Lucas, R.J. (1988), “On the Mechanism of Economic Development”, Journal of Monetary Economics, 22. • Mankiw, N.G., D. Romer and D. Weil (1992), “A Contribution to the Empirics of Economic Growth”, Quarterly Journal of Economics, V 107. • Quah, D.T. (1996), “Empirics for Economic Growth and Convergence”, European Economic Review. • Romer, P.M. (1986), “Increasing Returns and Long-Run Growth”, Journal of Political Economy, 94. • St. Aubyn, M (1999), “Convergence Across Industrialized Countries (1890-1989). New Results using Time Series Methods”, Empirical Economics, 24. • World Bank “2002 World Development Indicators” Data-Base .