Wage and Price Inflation in Poland in the Period of Transition: The Cointegration Analysis

Aleksander Welfe and Michał Majsterek

Economic Change and Restructuring, 2002, vol. 35, issue 3, 205-19

Abstract: The paper focuses on the long run relationships between wages, prices and labour productivity in the Polish economy by applying recent developments in the field of multivariate cointegration analysis. We followed modeling strategy which is suggested by Greenslade et al. (1999) and present all stages of the analysis which leads to the fully economically identified system of equations representing long run relationships. The investigation is based on the quarterly data from 1992.1 to 1999.2 which covers the period of transition of the Polish economy from the centrally planned system towards the market one. Basing on the empirical results we can argue that wages (costs) were one of the main forces driving inflation in Poland during that period. Also labor productivity proved to be stimulated by the increase of the real wages. On the other hand the hypothesis concerning the relationship between wages and unemployment was rejected by the data. Copyright 2002 by Kluwer Academic Publishers

Date: 2002
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://journals.kluweronline.com/issn/0013-0451/contents link to full text (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:ecopln:v:35:y:2002:i:3:p:205-19

Ordering information: This journal article can be ordered from
http://www.springer. ... nt/journal/10644/PS2

Access Statistics for this article

Economic Change and Restructuring is currently edited by George Hondroyiannis

More articles in Economic Change and Restructuring from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().