Disequilibrium Modeling, Switching Regressions, and Their Relationship to Structural Change

  • G. S. Maddala
Conference paper


Disequilibrium and self-selection models do not directly deal with structural change. But both are switching regression models with endogenous switching and the techniques of analysis for switching regression models can be used to study structural change. The chapter discusses the different uses of these models in the modeling of structural change. One class of such models is the Markov switching model which has been used to analyze exchange rates, stock prices, and nonstationary time series. These are models with exogenous switching. The other class of models, with endogenous switching, can be fruitfully applied to analyze structural change which follow policy changes that eliminate opportunities of self-selection that economic agents have.


Regime Shift Switching Model Switching Regression Economic Time Series Nonstationary Time Series 
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  1. Bjørkland, A. and Moffitt, R. (1987), The estimation of wage gains and welfare gains in self-selection models. Review of Economics and Statistics, 69, 42–49.CrossRefGoogle Scholar
  2. Cosslett, S.R. and Lee, L.F. (1985), Serial correlation in discrete variable models. Journal of Econometrics, 27, 79–97.CrossRefGoogle Scholar
  3. Engel, C. and Hamilton, J.D. (1989), Long swings in the exchange rate: Are they in the data and do markets know it? Unpublished manuscript, University of Virginia.CrossRefGoogle Scholar
  4. Everitt, B.S. and Hand, D.J. (1981), Finite Mixture Distributions. London: Chapman Hall.CrossRefGoogle Scholar
  5. Goldfeld, S.M. and Quandt, R.E. (1973a), The estimation of structural shifts by switching regressions. Annals of Economic and Social Measurement, 2, 475–485.Google Scholar
  6. Goldfeld, S.M. and Quandt, R.E. (1973b), A Markov model for switching regressions. Journal of Econometrics, 1, 3–16.CrossRefGoogle Scholar
  7. Hamilton, J.D. (1988), Rational expectations econometric analysis of changes in regime: An investigation of the term structure of interest rates. Journal of Economic Dynamics and Contol, 12, 385–423.CrossRefGoogle Scholar
  8. Hamilton, J.D. (1989), A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57, 357–384.CrossRefGoogle Scholar
  9. Inman, K. (1989), A state switching model of stock market risk premiums. Unpublished manuscript, University of Washington.Google Scholar
  10. Kaminsky, G. (1989), The Peso problem and the behavior of the exchange rate: The Dollar-Pound exchange rate, 1976–87. Working paper, University of California, San Diego.Google Scholar
  11. Kaminsky, G. and Peruga, R. (1988), Credibility crisis: The Dollar in the early eighties. Working paper, University of California, San Diego.Google Scholar
  12. Lam, Poksang (1989), The generalized Hamilton model: estimation and comparison with other models of economic time series. Manuscript, Ohio State University.Google Scholar
  13. Lee, L.F., Maddala, G.S., and Trost, R.P. (1979), Testing for structural change by D-methods in switching simultaneous equations models. Proceedings of the American Statistical Association (Business and Economics Section), 461–466.Google Scholar
  14. Lee, L.F. and Porter, R. (1984), Switching regression models with imperfect sample separation information—with an application on cartel stability. Econometrica, 52, 391–418.CrossRefGoogle Scholar
  15. Lewis, K.K. (1988), The persistence of the Peso problem when policy is noisy. Journal of International Money and Finance, 7, 5–21.CrossRefGoogle Scholar
  16. Lewis, K.K. (1989), Changing beliefs and systematic forecast errors with evidence from foreign exchange. American Economic Review, 79, 621–636.Google Scholar
  17. Lys, T. (1984), Mandated accounting changes and debt covenants: The case of oil and gas accounting. Journal of Accounting and Economics, 6, 39–65.CrossRefGoogle Scholar
  18. Maddala, G.S. (1983), Limited Dependent and Qualitative Variables in Econometrics. New York: Cambridge University Press.CrossRefGoogle Scholar
  19. Maddala, G.S. (1986), Disequilibrium, self-selection and switching models, pp. 1633–1688 in Z. Griliches and M.D. Intrilligator (eds.) Handbook of Econometrics, Volume3. Amsterdam: North Holland.CrossRefGoogle Scholar
  20. Quandt, R.E. (1988), The Econometrics of Disequilibrium. New York: Basil Blackwell.Google Scholar
  21. Sawyer, K.R. and Shehata, M. (1989), Mandated accounting changes and selection bias: The case of oil and gas accounting. Unpublished manuscript, University of Florida.Google Scholar
  22. Turner, CM., Startz, R., and Nelson, C.R. (1989), A Markov model of heteroscedasticity, risk and learning in the stock market. Journal of Financial Economics (forthcoming).Google Scholar
  23. Tyssedal, J.S. and Tjostheim, K. (1988), An autoregressive model with suddenly changing parameters and an application to stock market prices. Applied Statistics, 37, 353–369.CrossRefGoogle Scholar

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© Springer-Verlag Berlin Heidelberg 1991

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  • G. S. Maddala

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