Determinants of Regional Economic Growth by Quantile

REFERENCES

• Azariadis , C. and Drazen , A. 1990 . Threshold externalities in economic development . Quarterly Journal of Economics , 10 : 501 – 526 .
   Web of Science ®Google Scholar
• Azariadis , C. and Stachurski , J. 2004 . “ Poverty traps ” . In Handbook of Economic Growth 1A , Edited by: Aghion , P. and Durlauf , S. 295 – 384 . Amsterdam : Elsevier .
   Google Scholar
• Badinger , H. and Tondl , G. 2002 . Trade, Human Capital and Innovation: The Engines of European Regional Growth in the 1990s , Vienna : Administration . Research Institute for European Affairs Working Paper Number 42. Vienna University of Economics and Business
   Google Scholar
• Barreto , R. A. and Hughes , A. W. 2004 . Under performers and over achievers: a quantile regression analysis of growth . Economic Record , 80 : 17 – 35 .
   Web of Science ®Google Scholar
• Barro , R. J. 1991 . Economic growth in a cross-section of countries . Quarterly Journal of Economics , 106 : 407 – 443 .
   Web of Science ®Google Scholar
• Barro , R. J. and Sala-i-Martin , X. 1995 . Economic Growth , New York , NY : McGraw-Hill .
   Google Scholar
• Baumont , C. , Ertur , C. and Le Gallo , J. 2002 . The European Regional Convergence Process, 1980–1995: Do Spatial Regimes and Spatial Dependence Matter? , Dijon : Mimeo. University of Burgundy .
   Google Scholar
• Boldrin , M. and Canova , F. 2001 . Inequality and convergence in Europe's regions: reconsidering European regional policy . Economic Policy , 16 : 205 – 253 .
   Google Scholar
• Brock , W. and Durlauf , S. 2001 . Growth empirics and reality . World Bank Economic Review , 15 : 229 – 272 .
   Web of Science ®Google Scholar
• Brock , W. , Durlauf , S. and West , K. 2003 . Policy evaluation in uncertain economic environments (with comments and discussion) . Brookings Papers on Economic Activity , : 235 – 332 .
   Web of Science ®Google Scholar
• Buchinsky , M. 1998 . Recent advances in quantile regression methods: a practical guideline for empirical research . Journal of Human Resources , 33 : 88 – 126 .
   Web of Science ®Google Scholar
• Canarella , G. and Pollard , S. K. 2004 . Parameter heterogeneity in the neoclassical growth model: a quantile regression approach . Journal of Economic Development , 29 : 1 – 31 .
   Google Scholar
• Chernozhukov , V. and Hansen , C. 2003 . Inference on instrumental quantile regression processes . Journal of Econometrics , 132 : 491 – 525 .
   Web of Science ®Google Scholar
• Cheshire , P. and Magrini , S. 2000 . Endogenous processes in European regional growth: convergence and policy . Growth and Change , 31 : 455 – 479 .
   Web of Science ®Google Scholar
• Clyde , M. and George , E. 2004 . Model uncertainty . Statistical Science , 19 : 81 – 94 .
   Web of Science ®Google Scholar
• Crespo-Cuaresma , J. , Dimitz , M. A. and Ritzberger-Grünwald , D. 2008 . Growth, convergence and EU membership . Applied Economics , 40 : 643 – 656 .
   Web of Science ®Google Scholar
• Crespo-Cuaresma , J. and Doppelhofer , G. 2007 . Non-linearities in cross-country growth regressions: a Bayesian averaging of thresholds (BAT) approach . Journal of Macroeconomics , 29 : 541 – 554 .
   Web of Science ®Google Scholar
• Crespo-Cuaresma , J. , Doppelhofer , G. and Feldkircher , M. 2009a . The Determinants of Economic Growth in European Regions Background Paper on the European Commission Directorate General Regional Policy Project ‘Analysis of the Main Factors of Regional Growth: An In-depth Study of the Best and Worst Performing European Regions’. Working Paper Number 57. Vienna Institute for International Economic Studies (WIIW), Vienna
   Google Scholar
• Crespo-Cuaresma , J. , Doppelhofer , G. and Feldkircher , M. 2009b . Economic Growth Determinants for European Regions: Is Central and Eastern Europe Different? Focus on European Economic Q3/2009 , Vienna : Austrian National Bank .
   Google Scholar
• De la Fuente , A. and Vives , X. 1995 . The Sources of Irish Growth , London : Centre for Economic Policy Research (CEPR) . Discussion Paper Number 1756
   Google Scholar
• Doppelhofer , G. 2007 . “ Model averaging ” . In The New Palgrave Dictionary in Economics , 2nd , Edited by: Blume , L. and Durlauf , S. Basingstoke : Palgrave/Macmillan .
   Google Scholar
• Durlauf , S. 2000 . “ Econometric analysis and the study of economic growth: a skeptical perspective ” . In Macroeconomics and the Real World , Edited by: Backhouse , R. and Salanti , A. 249 – 262 . Oxford : Oxford University Press .
   Google Scholar
• Durlauf , S. , Johnson , P. and Temple , J. 2005 . “ Growth econometrics ” . In Handbook of Economic Growth , Edited by: Aghion , P. and Durlauf , S. Vol. 1 , 555 – 677 . Amsterdam : Elsevier .
   Google Scholar
• Durlauf , S. , Kourtellos , A. and Tan , C.-M. 2006 . Is God in the Details?: A Re-examination of the Role of Religion in Economic Growth , Madison , WI : University of Wisconsin . Working Paper
   Google Scholar
• Durlauf , S. , Kourtellos , A. and Tan , C.-M. 2007 . Are Any Growth Theories Robust? , Madison, WI : University of Wisconsin . Working Paper
   Google Scholar
• Durlauf , S. N. and Quah , D. T. 1999 . “ The new empirics of economic growth ” . In Handbook of Macroeconomics , Edited by: Taylor , J. B. and Woodford , M. Vol. 1 , 235 – 308 . Amsterdam : Elsevier .
   Google Scholar
• Egger , P. and Pfaffermayr , M. 2006 . Spatial convergence . Papers in Regional Science , 85 : 199 – 216 .
   Web of Science ®Google Scholar
• Eicher , T. , Papageorgiou , C. and Raftery , A. 2007 . Determining Growth Determinants: Default Priors and Predictive Performance in Bayesian Model Averaging , Washington, Seattle , WA : University of . Working Paper
   Google Scholar
• Fernández , C. , Ley , E. and Steel , M. 2001 . Model uncertainty in cross-country growth regressions . Journal of Applied Econometrics , 16 : 563 – 576 .
   Web of Science ®Google Scholar
• Fingleton , B. 2001 . Theoretical economic geography and spatial econometrics: dynamic perspectives . Journal of Economic Geography , 1 : 201 – 225 .
   Google Scholar
• Foster , N. 2008 . The impact of trade liberalisation on economic growth: evidence from a quantile regression analysis . Kyklos , 61 : 543 – 567 .
   Web of Science ®Google Scholar
• Hendry , D. F. and Krolzig , H.-M. 2004 . We ran one regression . Oxford Bulletin of Economics and Statistics , 66 : 799 – 810 .
   Web of Science ®Google Scholar
• Hoeting , J. , Madigan , D. , Raftery , A. and Volinsky , C. 1999 . Bayesian model averaging: a tutorial . Statistical Science , 14 : 382 – 417 .
   Web of Science ®Google Scholar
• Kalaitzidakis , P. , Mamuneas , T. and Stengos , T. 2000 . A non-linear sensitivity analysis of cross-country growth regressions . Canadian Journal of Economics , 33 : 604 – 617 .
   Web of Science ®Google Scholar
• Kass , R. E. and Raftery , A. E. 1995 . Bayes factors . Journal of the American Statistical Association , 90 : 773 – 795 .
   Web of Science ®Google Scholar
• Koenker , R. 2005 . Quantile Regression , New York , NY : Cambridge University Press .
   Google Scholar
• Koenker , R. and Basset , G. 1978 . Regression quantiles . Econometrica , 46 : 33 – 50 .
   Web of Science ®Google Scholar
• Koenker , R. and Hallock , K. 2001 . Quantile regression . Journal of Economic Perspectives , 15 ( 4 ) : 143 – 156 .
   Web of Science ®Google Scholar
• Koenker , R. and Machado , J. 1999 . Goodness of fit and related inference processes for quantile regression . Journal of the American Statistical Association , 94 : 1296 – 1310 .
   Web of Science ®Google Scholar
• Le Gallo , J. , Ertur , C. and Baumont , C. 2003 . “ A spatial econometric analysis of convergence across European regions, 1980 1995 ” . In European Regional Growth. Advances in Spatial Science , Edited by: Fingleton , B. 99 – 129 . Heidelberg : Springer .
   Google Scholar
• Leamer , E. 1978 . Specification Searches , New York , NY : Wiley .
   Google Scholar
• Leamer , E. 1983 . Let's take the con out of econometrics . American Economic Review , 73 : 31 – 43 .
   Web of Science ®Google Scholar
• Leon-Gonzalez , R. and Montolio , D. 2004 . Growth, convergence and public investment, a Bayesian model averaging approach . Applied Econometrics , 36 : 1925 – 1936 .
   Google Scholar
• LeSage , J. P. and Fischer , W. 2007 . Spatial Growth Regressions: Model Specification, Estimation and Interpretation , San Marcos , TX : Mimeo. Department of Finance and Economics, Texas State University .
   Google Scholar
• LeSage , J. P. and Parent , O. 2007 . Bayesian Model Averaging for Spatial Econometric Models , San Marcos , TX : Mimeo. Department of Finance and Economics, Texas State University .
   Google Scholar
• Levine , R. and Renelt , D. 1992 . A sensitivity analysis of cross-country growth regressions . American Economic Review , 82 : 942 – 963 .
   Web of Science ®Google Scholar
• Ley , E. and Steel , M. 2007 . Jointness in Bayesian variable selection with applications to growth regressions . Journal of Macroeconomics , 29 : 476 – 493 .
   Web of Science ®Google Scholar
• Ley , E. and Steel , M. 2009 . On the effect of prior assumptions in BMA with applications to growth regressions . Journal of Applied Econometrics , 24 : 651 – 674 .
   Web of Science ®Google Scholar
• Lucas , R. E. Jr . 1988 . On the mechanics of economic development . Journal of Monetary Economics , 22 : 3 – 42 .
   Web of Science ®Google Scholar
• Madigan , D. and York , J. 1995 . Bayesian graphical models for discrete data . International Statistical Review , 63 : 215 – 232 .
   Web of Science ®Google Scholar
• Masanjala , W. and Papageorgiou , C. 2007 . Initial Conditions and Post-War Growth in Sub-Saharan Africa , Baton Rouge , LA : Louisiana State University . Working Paper
   Google Scholar
• Masanjala , W. and Papageorgiou , C. 2008 . A rough and lonely road to prosperity: a re-examination of sources of growth in Africa using Bayesian model averaging . Journal of Applied Econometrics , 23 : 671 – 682 .
   Web of Science ®Google Scholar
• Mello , M. and Perelli , R. 2003 . Growth equations: a quantile regression exploration . Quarterly Review of Economics and Finance , 43 : 643 – 667 .
   Google Scholar
• Min , C. and Zellner , A. 1993 . Bayesian and non-Bayesian methods for combining model and forecasts with applications to forecasting international growth rates . Journal of Econometrics , 56 : 89 – 118 .
   Web of Science ®Google Scholar
• Moral-Benito , E. 2009 . Determinants of Economic Growth: A Bayesian Panel Data Approach , Washington , DC : The World Bank . Policy Research Working Paper Number 4830
   Google Scholar
• Osborne , E. 2006 . The sources of growth at different levels of development . Contemporary Economic Policy , 24 : 536 – 547 .
   Web of Science ®Google Scholar
• Puigcerver-Peñalver , M.-C. 2007 . The impact of structural funds policy on European regions' growth. A theoretical and empirical approach . European Journal of Comparative Economics , 4 : 179 – 208 .
   Google Scholar
• Raftery , A. 1995 . Bayesian model selection for social research . Sociological Methodology , 25 : 111 – 163 .
   Web of Science ®Google Scholar
• Raftery , A. , Madigan , D. and Hoeting , J. 1997 . Bayesian model averaging for linear regression models . Journal of the American Statistical Association , 92 : 179 – 191 .
   Web of Science ®Google Scholar
• Romer , P. 1986 . Increasing returns and long-run growth . Journal of Political Economy , 94 : 1002 – 1037 .
   Web of Science ®Google Scholar
• Sala-i-Martin , X. 1997 . I just ran two million regressions . American Economic Association Papers and Proceedings , 87 : 178 – 183 .
   Web of Science ®Google Scholar
• Sala-i-Martin , X. , Doppelhofer , G. and Miller , R. 2004 . Determinants of long-run growth: a Bayesian averaging of classical estimates (BACE) approach . American Economic Review , 94 : 813 – 835 .
   Web of Science ®Google Scholar
• Schneider , U. and Wagner , M. 2009 . Catching Growth Determinants with the Adaptive LASSO Background Paper on the European Commission Directorate General Regional Policy Project ‘Analysis of the Main Factors of Regional Growth: An In-depth Study of the Best and Worst Performing European Regions’. Working Paper Number 57. Vienna Institute for International Economic Studies (WIIW), Vienna
   Google Scholar
• Schwarz , G. 1978 . Estimating the dimension of a model . Annals of Statistics , 6 : 461 – 464 .
   Web of Science ®Google Scholar
• Stokey , N. 1991 . Human capital, product quality and growth . Quarterly Journal of Economics , 106 : 587 – 616 .
   Web of Science ®Google Scholar
• Temple , J. 1999 . The new growth evidence . Journal of Economic Literature , 37 : 112 – 156 .
   Web of Science ®Google Scholar
• Williamson , J. G. 1965 . Regional inequality and the process of national development: a description of the patterns . Economic and Cultural Change , 13 : 1 – 84 .
   Web of Science ®Google Scholar
• Yu , K. and Moyeed , R. A. 2001 . Bayesian quantile regression . Statistics and Probability Letters , 54 : 437 – 447 .
   Web of Science ®Google Scholar
• Zou , H. 2006 . The adaptive LASSO and its oracle properties . Journal of the American Economic Association , 101 : 1418 – 1429 .
   Web of Science ®Google Scholar