Nonlinear Stochastic Convergence Analysis of Regional Unemployment Rates in Poland

Joanna Tyrowicz and Piotr Wójcik

MPRA Paper from University Library of Munich, Germany

Abstract: This paper analyzes convergence of unemployment rates in Poland at NUTS4 level by testing nonlinear convergence, applying the modified KSS-CHLL for each pair of territorial units. The results suggest that actually the convergence is a rare phenomenon and occurs only in 1916 cases out of potential over 70 000 combinations. This paper inquires what systematic reasons contribute to this phenomenon. There are some circumstances under which unemployment convergence should be more awaited than in the others. These include sharing a higher level territorial authority, experiencing similar labour market hardship or sharing the same structural characteristics. For each of these three criteria we analyse the frequency of the dierential nonstationarity within groups (as evidence of convergence) and across groups (as evidence of "catching up").

Keywords: nonlinear convergence; stochastic convergence; unemployment; transition; Poland (search for similar items in EconPapers)
JEL-codes: E24 R23 R58 (search for similar items in EconPapers)
Date: 2009
New Economics Papers: this item is included in nep-lab and nep-tra
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Journal Article: Nonlinear Stochastic Convergence Analysis of Regional Unemployment Rates in Poland (2011)
Working Paper: Nonlinear Stochastic Convergence Analysis of Regional Unemployment Rates in Poland (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:15384

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