Reconciling Conflicting Evidence on the Origins of Comparative Development: A Finite Mixture Model Approach

35 Pages Posted: 17 Jul 2012 Last revised: 7 Feb 2013

See all articles by Thomas K. J. McDermott

Thomas K. J. McDermott

SEMRU, Whitaker Institute, NUI Galway; London School of Economics & Political Science (LSE) - Grantham Research Institute on Climate Change and the Environment

Date Written: February 4, 2013

Abstract

In this paper, I replicate the analysis in Acemoglu et al. (2001). These authors famously show that institutions are the primary determinant of differences in income between rich and poor countries, while geography has no effect on income, once in- stitutions are properly controlled for. However, if global income data are drawn from a bi-modal distribution, the effects of these explanatory variables may be obscured by the use of linear estimation models that implicitly assume these effects to be homogeneous across all countries. I use a range of analytical techniques, from simple sub-sample analysis, to sophisticated empirical estimation based on a finite mixture model approach in attempting to identify the effects on the AJR results of accounting for the bi-modality of the global income distribution. My analysis shows that the AJR results are sensitive to sample composition. In particular, it appears that institutions do not explain the variation in income across relatively poor countries or those in sub-Saharan Africa. I use Monte Carlo simulations to confirm that ignoring the bi- modality of global income could cause geography to appear unimportant. My findings could potentially reconcile apparently conflicting results from the existing literature on the role of geography and institutions in comparative development.

Keywords: comparative development, institutions, geography, finite mixture models, Monte Carlo simulations

JEL Classification: O11, O43, O44, O57, Q54, Q56

Suggested Citation

McDermott, Thomas K. J., Reconciling Conflicting Evidence on the Origins of Comparative Development: A Finite Mixture Model Approach (February 4, 2013). Available at SSRN: https://ssrn.com/abstract=2111198 or http://dx.doi.org/10.2139/ssrn.2111198

Thomas K. J. McDermott (Contact Author)

SEMRU, Whitaker Institute, NUI Galway ( email )

University Road
Galway, Co. Kildare
Ireland

HOME PAGE: http://https://thomaskjmcdermott.wordpress.com

London School of Economics & Political Science (LSE) - Grantham Research Institute on Climate Change and the Environment ( email )

Houghton Street
London, WC2A 2AE
Great Britain

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