Empirics for economic growth and convergence

Quah, Danny (1996) Empirics for economic growth and convergence. European Economic Review, 40 (6). pp. 1353-1375. ISSN 0014-2921

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Abstract

The convergence hypothesis has generated a huge empirical literature: this paper critically reviews some of the earlier key findings, clarifies their implications, and relates them to more recent results. Particular attention is devoted to interpreting convergence empirics. The main findings are: (1) The much-heralded uniform 2% rate of convergence could arise for reasons unrelated to the dynamics of economic growth. (2) Usual empirical analyses — cross-section (conditional) convergence regressions, time-series modelling, panel data analysis — can be misleading for understanding convergence; a model of polarization in economic growth clarifies those difficulties. (3) The data, more revealingly modelled, show persistence and immobility across countries: some evidence supports Baumol's idea of ‘convergence clubs’: some evidence shows the poor getting poorer, and the rich richer, with the middle class vanishing. (4) Convergence, unambiguous up to sampling error, is observed across US states.

Item Type:	Article
Official URL:	http://www.journals.elsevier.com/european-economic...
Additional Information:	© 1996 Elsevier
Divisions:	LSE
Subjects:	H Social Sciences > HB Economic Theory
JEL classification:	C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C21 - Cross-Sectional Models; Spatial Models; Treatment Effect Models C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C22 - Time-Series Models C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C23 - Models with Panel Data O - Economic Development, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O41 - One, Two, and Multisector Growth Models
Date Deposited:	27 Apr 2007
Last Modified:	17 Nov 2024 08:24
URI:	http://eprints.lse.ac.uk/id/eprint/1301

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