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Autoregressive Conditional Density Estimation


  • Hansen, B.E.


R. F. Engle's autoregressive conditional heteroskedastic model is extended to permit parametric specifications for conditional dependence beyond the mean and variance. The suggestion is to model the conditional density with a small number of parameters, and then model these parameters as functions of the conditioning information. This method is applied to two data sets. The first application is to the monthly excess holding yield on U.S. Treasury securities, where the conditional density used is a Student's t distribution. The second application is to the U.S. Dollar/Swiss Franc exchange rate, using a new skewed Student t conditional distribution. Copyright 1994 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
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Suggested Citation

  • Hansen, B.E., 1992. "Autoregressive Conditional Density Estimation," RCER Working Papers 322, University of Rochester - Center for Economic Research (RCER).
  • Handle: RePEc:roc:rocher:322

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    References listed on IDEAS

    1. Hamid Beladi & Sugata Marjit, 1992. "Foreign Capital and Protectionism," Canadian Journal of Economics, Canadian Economics Association, vol. 25(1), pages 233-238, February.
    2. Ronald W. Jones, 1965. "The Structure of Simple General Equilibrium Models," Journal of Political Economy, University of Chicago Press, vol. 73, pages 557-557.
    3. Jones, R.W. & Marjit, S., 1992. "International Trade and Endogenous Production Structures," RCER Working Papers 312, University of Rochester - Center for Economic Research (RCER).
    4. Marjit, Sugata, 1990. "A simple production model in trade and its applications," Economics Letters, Elsevier, vol. 32(3), pages 257-260, March.
    5. Alan V. Deardorff, 1984. "An Exposition and Exploration of Krueger's Trade Model," Canadian Journal of Economics, Canadian Economics Association, vol. 17(4), pages 731-746, November.
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    econometrics ; economic models;


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