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2011 | nr 86 Business Surveys, Business Cycles. Polish Contribution to the 30th CIRET Conference | 185--199
Tytuł artykułu

Modelling Inflation Using Markov Switching Models : Case of Poland, 1992-2005

Warianty tytułu
Języki publikacji
FR
Abstrakty
EN
We investigate inflation in Poland in the period of economic transition by examining the potential application of Markov Switching Models to model the inflation generating process in Poland. The time horizon of analysis was limited to the period between March 1992 and October 2005 defined as the process of disinflation, i.e. the process of continued decrease in inflation rates following the economic transition period in early 1990s which was accompanied by a high level of inflation. According to the Ball-Friedman hypothesis, variation of inflation during periods of high inflation can be unstable. Indeed, the results show that non-linear models significantly improve the description of inflation generating process in Poland. Apart from univariate Markov Models, we also use a model that incorporates inflation expectations measured by Future Inflation Indicator (FII). We find that the model, where lagged values of FII are included as exogenous variables is significantly better in modelling inflation than simple univariate Markov Model. (original abstract)
Twórcy
  • Warsaw School of Economics, Poland
  • Warsaw School of Economics, Poland
Bibliografia
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  • Ball, L., (1992). Why Does High Inflation Raise Inflation Uncertainty? "Journal of Monetary Economics". Vol. 29. No. 3 (Jun., 1992), pp. 371-388.
  • Brunner, A.D., Hess G.D. ,(1993). Are Higher Levels of. Inflation Less Predictable? A State-Dependent. Conditional Heteroskedasticity Approach. "Journal of Business and Economic Statistics", Vol. 11. No. 2 (Apr. 1993), pp. 187-197.
  • Caporale, G. Alexandros Kontonikas M., (2009), The Euro and inflation uncertainty in the European Monetary Union, "Journal of International Money and Finance", Vol. 28, No. 6, pp. 954-971.
  • Cukierman, A., Meltzer A.H. ,(1986). A Theory of Ambiguity, Credibility, and Inflation under Discretion and Asymmetric Information." Econometrica", Vol. 54, No. 5 (Sep. 1986), pp. 1099-1128.
  • Friedman, M., (1977). Nobel Lecture: Inflation and Unemployment. "Journal of Political Economy", Vol. 85, pp. 451-472.
  • Golinelli, R. Orsi R., (2002), Modelling Inflation in EU Accession Countries: The Case of the Czech Republic, Hungary and Poland. Ezoneplus Working Paper 9, Ezoneplus..
  • Grier, K.B.,. Perry M.J .,(1998). On Inflation and Inflation Uncertainty. "Journal of International Money and Finance", Vol. 17, No. 4, pp. 671-689.
  • Grier, K.B., Perry M.J. ,(2000). The effects of real and nominal uncertainty on inflation and output growth: Some GARCH-M evidence." Journal of Applied Econometrics", Vol. 15, pp. 45-58.
  • Hamilton, J,D. ,(1989), A new approach to the economic analysis of nonstationary time series and the business cycle. "Econometrica", Vol. 57, No. 2 ,pp. 357-384.
  • Hamilton, J.D. , (1994), Time series analysis. Princeton University Press, Princeton, New Jersey.
  • Henry, O. T., Shields K., (2004), Is there a unit root in inflation. "The Journal of Macroeconomics", Vol. 26, No. 3, pp. 481-500.
  • Kłos, B., Kokoszczyński R., Łyziak, T. Przystupa J. Wróbel E., (2004), Modele strukturalne w prognozowaniu inflacji w Narodowym Banku Polskim, Materiały i Studia, No. 180.
Typ dokumentu
Bibliografia
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