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Credit Market Disequilibrium in Poland: Can We Find What We Expect? Non-Stationarity and the “Min”Condition

  • Christophe Hurlin


  • Rafal Kierzenkowski


This paper presents an empirical investigation of the disequilibrium hypothesis on the Polish loan market in the 1990s. Using data over this period of deep transition, we estimate a disequilibrium model with a standard maximum likelihood method. However, the estimates are highly counter-intuitive as regards the timing of the identified regimes. We show that the gap between the econometric evidence and the expected results may stem from the issue of stochastic non-stationarity in a disequilibrium setting based on the “min” condition. We find that the omission of one non-stationary variable of the cointegrating space or the absence of a “structural” cointegrating relationship in one or both regimes lead to a spurious configuration. In such a case, using, wrongly, the standard likelihood function, derived under the hypothesis of stationarity, may lead to non-convergent estimates of structural parameters and, as a consequence, to a fallacious regimes identification. Therefore, as the first approach to this issue, we estimate a disequilibrium model with stationary data. The empirical results are then robust and economically founded and correspond to the set and the timing of anticipated regimes.

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Paper provided by William Davidson Institute at the University of Michigan in its series William Davidson Institute Working Papers Series with number 2003-581.

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Length: 29 pages
Date of creation: 01 Jun 2003
Date of revision:
Handle: RePEc:wdi:papers:2003-581
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  1. Mark Gertler & Simon Gilchrist, 1993. "The role of credit market imperfections in the monetary transmission mechanism: arguments and evidence," Finance and Economics Discussion Series 93-5, Board of Governors of the Federal Reserve System (U.S.).
  2. Maddala, G S & Nelson, Forrest D, 1974. "Maximum Likelihood Methods for Models of Markets in Disequilibrium," Econometrica, Econometric Society, vol. 42(6), pages 1013-30, November.
  3. Ceyla PazarbaÅŸioÄŸlu, 1997. "A Credit Crunch? Finland in the Aftermath of the Banking Crisis," IMF Staff Papers, Palgrave Macmillan, vol. 44(3), pages 315-327, September.
  4. Dale, Spencer & Haldane, Andrew G., 1995. "Interest rates and the channels of monetary transmission: Some sectoral estimates," European Economic Review, Elsevier, vol. 39(9), pages 1611-1626, December.
  5. Bernanke, Ben S & Blinder, Alan S, 1988. "Credit, Money, and Aggregate Demand," American Economic Review, American Economic Association, vol. 78(2), pages 435-39, May.
  6. Laroque, Guy & Salanie, Bernard, 1997. "Normal estimators for cointegrating relationships," Economics Letters, Elsevier, vol. 55(2), pages 185-189, August.
  7. Sealey, C W, Jr, 1979. "Credit Rationing in the Commercial Loan Market: Estimates of a Structural Model under Conditions of Disequilibrium," Journal of Finance, American Finance Association, vol. 34(3), pages 689-702, June.
  8. Perez, Stephen J., 1998. "Testing for Credit Rationing: An Application of Disequilibrium Econometrics," Journal of Macroeconomics, Elsevier, vol. 20(4), pages 721-739, October.
  9. International Monetary Fund, 2002. "Republic Of Poland: Statistical Appendix," IMF Staff Country Reports 02/128, International Monetary Fund.
  10. Fair, Ray C & Jaffee, Dwight M, 1972. "Methods of Estimation for Markets in Disequilibrium," Econometrica, Econometric Society, vol. 40(3), pages 497-514, May.
  11. Kim, Hyun E., 1999. "Was the credit channel a key monetary transmission mechanism following the recent financial crisis in the Republic of Korea?," Policy Research Working Paper Series 2103, The World Bank.
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