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The Elusive Empirical Shadow of Growth Convergence

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Author Info
Peter C.B. Phillips () (Yale University, Cowles Foundation)
Donggyu Sul () (University of Auckland, Faculty of Business & Economics, Department of Economics)

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Abstract

Two groups of applied econometricians have figured prominently in empirical studies of growth convergence. In terms of a popular caricature, one group believes it has found a black hat of convergence (evidence for growth convergence) in the dark room of economic growth, even though the hat may not exist (the task may be futile). A second group believes it has found a black coat of divergence (evidence against growth convergence) even though this object also may not exist (empirical reality, including the nature of growth divergence, is ever more complex than the models used to characterize it). The present paper seeks to light a candle to see whether there is a hat, a coat or another object of identifiable clothing in the room of regional and multi-country economic growth. After our examination, we find that the candle power of applied econometrics is too low to clearly distinguish a black hat in the huge dark room of economic growth. However, in our theory model, we find an important new role for heterogeneity over time and across economies in the transitional dynamics of economic growth; and, in our empirical work, these transitional dynamics reveal an elusive shadow of the conditional convergence hat in both US regional and inter-country OECD growth patterns.

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Paper provided by Yale School of Management in its series Yale School of Management Working Papers with number ysm342.

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Date of creation: 28 Jul 2004
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Handle: RePEc:ysm:somwrk:ysm342

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Related research
Keywords: Convergence Parameter; Conditional Convergence; Economic Growth; Growth Convergence; Heterogeneity; Neoclassical Economics; Transition Measures;

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Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data
O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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  1. Cristina Brasili & Luciano Gutierrez, 2004. "Regional convergence across European Union," Development and Comp Systems 0402002, EconWPA. [Downloadable!]
  2. Roberto Duncan & J. Rodrigo Fuentes, 2005. "Convergencia Regional en Chile: Nuevos Tests, Viejos Resultados," Working Papers Central Bank of Chile 313, Central Bank of Chile. [Downloadable!]
  3. Peter C.B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Cowles Foundation Discussion Papers 1595, Cowles Foundation, Yale University. [Downloadable!]
    Other versions:
  4. repec:att:wimass:192059 is not listed on IDEAS
  5. Tong, Jian, . "The Long Wave of Conditional Convergence," Discussion Paper Series In Economics And Econometrics 0614, Economics Division, School of Social Sciences, University of Southampton.
  6. Capolupo, Rosa, 2008. "The New Growth Theories and Their Empirics after Twenty Years," Economics Discussion Papers 2008-27, Kiel Institute for the World Economy. [Downloadable!]
  7. Peter C.B. Phillips & Donggyu Sul, 2005. "Economic Transition and Growth," Cowles Foundation Discussion Papers 1514, Cowles Foundation, Yale University. [Downloadable!]
  8. Deockhyun Ryu & Mahmoud A. El-Gamal, 2004. "Convergence Hypotheses are Ill-Posed:Non-stationarity of Cross-Country Income Distribution D," Econometric Society 2004 Far Eastern Meetings 576, Econometric Society. [Downloadable!]
  9. Mauro Costantini & Claudio Lupi, 2005. "Stochastic convergence among European economies," Economics Bulletin, Economics Bulletin, vol. 3(38), pages 1-17. [Downloadable!]
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