Expanded Barro Regression in Studying Convergence Problem
Affiliation(s)
1 National Economics University, Hanoi, Vietnam. 2 Institute of Economics and Corporate Group, Hanoi, Vietnam.
1 National Economics University, Hanoi, Vietnam. 2 Institute of Economics and Corporate Group, Hanoi, Vietnam.
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.
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.
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.
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.
[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.