Cross-Country Growth Comparison: Theory to Empirics
AbstractThis paper reviews the cross-country record of economic growth, using as organizing framework how economic theory has guided that empirical analysis. The paper argues that recent studies of economic growth - both empirical and theoretical - distinguish from previous work in three distinct ways: 1. An explicit focus on cross-country growth and development experiences; 2. Improved, more extensive cross-country data; 3. A heightened need, driven by real-world topicality, for understanding the role of knowledge and technology in economic growth.
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Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 2294.
Date of creation: Nov 1999
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Find related papers by JEL classification:
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- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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- Sébastien BOURDIN, 2013. "Une Mesure Spatiale Locale De La Sigma-Convergence Pour Evaluer Les Disparites Regionales Dans L’Union Europeenne," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 37, pages 179-196.
- Andros Kourtellos, 2002. "Modeling Parameter Heterogeneity in Cross Country Growth Regression Models," University of Cyprus Working Papers in Economics 0212, University of Cyprus Department of Economics.
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