Convergence, Endogenous Growth, and Productivity Disturbances
Abstract
Kelly (1992) has recently shown that evidence on convergence cannot be taken as evidence against endogenous growth in general. This study uses a well-known class of stochastic growth models to show other difficulties with traditional empirical studies of convergence. Key parameters typically cannot be estimated consistently in cross-section regressions. When the parameters are assumed known, implications for convergence are unavailable except under restrictive and economically unmotivated assumptions. Those same assumptions that relate key parameters to cross-country convergence render cross-section regressions impossible to estimate consistently.Download Info
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Bibliographic Info
Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 1383.Length:
Date of creation: Apr 1996
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Handle: RePEc:cpr:ceprdp:1383
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Related research
Keywords: Cross-country Dependence; Cross-country Regression; Increasing Returns; Stochastic Growth; Time-series Regression;Other versions of this item:
- Ka Yui Leung, Charles & Quah, Danny T., 1996. "Convergence, endogenous growth, and productivity disturbances," Journal of Monetary Economics, Elsevier, vol. 38(3), pages 535-547, December.
- Charles Ka-Yui Leung & Danny T., Quah, 1996. "Convergence, Endogenous Growth, and Productivity Disturbances," Departmental Working Papers _070, Chinese University of Hong Kong, Department of Economics.
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- O41 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Rosa Capolupo, . "The New Growth Theoris and their Empirics," Working Papers 2005_4, Business School - Economics, University of Glasgow.
- Charles Leung & Sam Tang & Nicolaas Groenewold, 2006.
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