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

Dynamic Econometric Models

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Field Value
 
Title The Application of Hidden Markov Models to the Analysis of Real Convergence
 
Creator Bernardelli, Michal; Warsaw School of Economics
Próchniak, Mariusz; Warsaw School of Economics
Witkowski, Bartosz; Warsaw School of Economics
 
Subject catching-up; convergence; hidden Markov model; European Union; Viterbi path.
C61, E32, O47, O52
 
Description 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.
 
Publisher Nicolaus Copernicus University
 
Contributor
 
Date 2017-12-22
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
 
Identifier http://apcz.umk.pl/czasopisma/index.php/DEM/article/view/DEM.2017.004
10.12775/DEM.2017.004
 
Source Dynamic Econometric Models; Vol 17 (2017); 59-80
Dynamic Econometric Models; Vol 17 (2017); 59-80
2450-7067
1234-3862
 
Language eng
 
Relation http://apcz.umk.pl/czasopisma/index.php/DEM/article/view/DEM.2017.004/13763
 
Rights Copyright (c) 2017 Dynamic Econometric Models