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On The Role Of Wages In The Ukrainian Transition Process : An Empirical Investigation

Author

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  • Gioacchino Fazio

    (Idefi)

  • Olivier Hueber

    (Idefi)

Abstract

There are two intriguing questions about the transition process undertaken by the Ukraine since its declaration of sovereignty in December 1991. (i) Why had one of the more prosperous republics of the former USSR in terms of economic development and population welfare been suffering of both a persistent and high inflation during the four first years of its young existence ? (ii) How - in the early months of 1996 - could the Ukrainian efficiently put an end to the skyrocketing of prices ? The aim of this paper is to understand how such an outstanding reversal of situation could occur. Firstly, in support of a cointegration test, we assert that between January 1992 and November 1995, the Ukraine was faced with a complex monetary regime in which wage was the economic variable through which most of the inflationary pressures passed, directly or indirectly. Secondly, we explain that since the beginning of 1996, the existent monetary regime has been replaced by a new one in which inflation is contained but wages and pensions arrears increase quickly. Such a situation is not sustainable in the short and we outline possible remedies.

Suggested Citation

  • Gioacchino Fazio & Olivier Hueber, 2004. "On The Role Of Wages In The Ukrainian Transition Process : An Empirical Investigation," Econometrics 0403009, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:0403009
    Note: Type of Document - pdf; pages: 14
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    References listed on IDEAS

    as
    1. Halushka, Andrij & Savluk, Sergei & Wörgötter, Andreas, 1994. "Ukrainian Hyperinflation: History, Analysis, Recommendations," East European Series 10, Institute for Advanced Studies.
    2. Cukierman Alex, 1992. "CENTRAL BANK STRATEGY, CREDIBILITY, AND INDEPENDANCE: THEORY AND EVIDENCE: Compte Rendu par Dominique Cariofillo," Journal des Economistes et des Etudes Humaines, De Gruyter, vol. 3(4), pages 581-590, December.
    3. MacKinnon, James G., 2010. "Critical Values for Cointegration Tests," Queen's Economics Department Working Papers 273723, Queen's University - Department of Economics.
    4. Heiner, Ronald A, 1983. "The Origin of Predictable Behavior," American Economic Review, American Economic Association, vol. 73(4), pages 560-595, September.
    5. Robert Engle & Clive Granger, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    6. Alex Cukierman, 1992. "Central Bank Strategy, Credibility, and Independence: Theory and Evidence," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262031981, December.
    7. Cukierman, Alex & Edwards, Sebastian & Tabellini, Guido, 1992. "Seigniorage and Political Instability," American Economic Review, American Economic Association, vol. 82(3), pages 537-555, June.
    8. James G. MacKinnon, 1990. "Critical Values for Cointegration Tests," Working Paper 1227, Economics Department, Queen's University.
    9. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-1056, September.
    10. Olivier Hueber, 1995. "The Abnormally Persistent and High Inflation in Ukraine," Post-Print hal-00819121, HAL.
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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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