A TIME-VARYING MARKOV-SWITCHING MODEL FOR ECONOMIC GROWTH
Bruno Morier and
Vladimir Teles ()
Macroeconomic Dynamics, 2016, vol. 20, issue 6, 1550-1580
Abstract:
This paper investigates patterns of variation in economic growth across and within countries using a time-varying transition matrix Markov-switching approach. The model developed here explains the dynamics of growth based on a collection of different states that countries pass into and out of over time; in addition, these states are characterized by their own submodels and growth patterns. The transition matrix among the different states varies over time—depending on the conditioning variables of each country—with a linear dynamic for each state. We develop a generalization of Diebold's EM algorithm and estimate a sample model in a panel with a transition matrix conditioned on institutional quality and the investment level. We find three states of growth: stable growth, miraculous growth, and stagnation. The results show that institutional quality is an important determinant of long-term growth, whereas the investment level plays a variety of roles: it contributes positively in countries with high-quality institutions but is of little relevance in countries with medium- or low-quality institutions.
Date: 2016
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Working Paper: A time-varying markov-switching model for economic growth (2011) 
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Persistent link: https://EconPapers.repec.org/RePEc:cup:macdyn:v:20:y:2016:i:06:p:1550-1580_00
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