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http://dx.doi.org/10.1016/0014-2921(93)90031-5

has been cited by the following article:

• TITLE: Forecasting the Convergence State of per Capital Income in Vietnam

  AUTHORS: Nguyen Khac Minh, Pham Van Khanh

  KEYWORDS: Convergence; Regression Method; Markov Proces

  JOURNAL NAME: American Journal of Operations Research, Vol.3 No.6, October 24, 2013

  ABSTRACT: Convergence problem of an economic variable represents an underlying forecast of neoclassical economic growth model. This paper aims to analyze the convergence of provincial per capita GDP stability in Vietnam over the period of 1991-2007. This can be done by two approaches including bias data-based regression method for testing convergence and Markov chain model for describing features of long-term tendency of per capita income in Vietnam growth in provinces. The regression method results in the signs of convergence. To apply Markov process, we divide total pattern into 5 per capita income classes. Result estimated from the Markov chain model shows the poor convergence.