Expanded Barro Regression in Studying Convergence Problem

Nguyen Khac Minh¹, Nguyen Khac Minh¹, Pham Van Khanh²

¹National Economics University, Hanoi, Vietnam.
²Institute of Economics and Corporate Group, Hanoi, Vietnam.

DOI: 10.4236/ajor.2014.45029                

Abstract

This study develops the approach by Minh & Khanh [1] to the classic Barro and Sala-i-Martin method [2], [3] named “expanded Barro regression method”, and applies this approach in analyzing the convergence of provincial per capita GDP in Vietnam over the period of 1991-2007. Different aspects of provincial convergence are considered in this paper. The estimated result on conver-gence from our model is compared to other models.

Keywords

Convergence, Barro Regression, Markov Model, Expanded Barro Regression

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Minh, N. and Khanh, P. (2013) Forecasting the Convergence State of per Capital Income in Vietnam. American Journal of Operations Research, 3, 487-496. http://dx.doi.org/10.4236/ajor.2013.36047
[2]	Barro, R.J. and Sala-i-Martin, X. (1991) Convergence across States and Regions. Brookings Papers on Economic Activity, 1, 107-158. http://dx.doi.org/10.2307/2534639
[3]	Barro, R.J. and Sala-i-Martin, X. (1995) Economic Growth. McGraw-Hill, New York.
[4]	Sala-i-Martin, X. (1996) The Classical Approach to Convergence Analysis. The Economic Journal, 106, 1019-1036. http://dx.doi.org/10.2307/2235375
[5]	Quah, D.T. (1993) Empirical Cross-Section Dynamics in Economic Growth. European Economic Review, 37, 426-434. http://dx.doi.org/10.1016/0014-2921(93)90031-5
[6]	Bernard, A.B. and Jones, C.I. (1996) Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries. American Economic Review, 86, 1216-1238.