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 AJOR  Vol.4 No.5 , September 2014
Expanded Barro Regression in Studying Convergence Problem
Nguyen Khac Minh1, Nguyen Khac Minh1, Pham Van Khanh2
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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
Cite this paper: Minh, N. , Minh, N. and Khanh, P. (2014) Expanded Barro Regression in Studying Convergence Problem. American Journal of Operations Research, 4, 301-310. doi: 10.4236/ajor.2014.45029.
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.

 
 
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