The Application of Hidden Markov Models to the Analysis of Real Convergence

Journal Title: Dynamic Econometric Models - Year 2017, Vol 17, Issue

Abstract

This paper employs hidden Markov models and the Viterbi path to analyze the process of real convergence. Such an approach combines the analysis of cyclical and income-level convergence. Twelve macroeconomic variables in the sample of 28 EU countries observed in the 1995-2016 period are within the scope of the study. The results indicate, among others, the existence of real convergence of Poland toward the remaining EU countries in terms of the levels of GDP per capita at PPP and GDP growth rates, with a short-run period of divergence during the global crisis.

Authors and Affiliations

Michal Bernardelli, Mariusz Próchniak, Bartosz Witkowski

Keywords

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  • EP ID EP326071
  • DOI 10.12775/DEM.2017.004
  • Views 85
  • Downloads 0

How To Cite

Michal Bernardelli, Mariusz Próchniak, Bartosz Witkowski (2017). The Application of Hidden Markov Models to the Analysis of Real Convergence. Dynamic Econometric Models, 17(), 59-80. https://europub.co.uk/articles/-A-326071