Kalman filtering with truncated normal state variables for Bayesian estimation of macroeconomic models
AbstractA pair of simple modifications-in the forecast error and forecast error variance-to the Kalman filter recursions makes possible the filtering of models in which one or more state variables is truncated normal and latent. Such recursions are broadly applicable to macroeconometric models, such as vector autoregressions and estimated dynamic stochastic general equilibrium models, that have one or more probit-type equation.
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Bibliographic InfoPaper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number 2005-057.
Date of creation: 2006
Date of revision:
Other versions of this item:
- Dueker, Michael, 2006. "Kalman filtering with truncated normal state variables for Bayesian estimation of macroeconomic models," Economics Letters, Elsevier, vol. 93(1), pages 58-62, October.
- NEP-ALL-2005-10-04 (All new papers)
- NEP-DCM-2005-10-04 (Discrete Choice Models)
- NEP-DGE-2005-10-04 (Dynamic General Equilibrium)
- NEP-ECM-2005-10-04 (Econometrics)
- NEP-ETS-2005-10-04 (Econometric Time Series)
- NEP-MAC-2005-10-04 (Macroeconomics)
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- Michael Dueker, 2005.
"Dynamic Forecasts of Qualitative Variables: A Qual VAR Model of U.S. Recessions,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 23, pages 96-104, January.
- Tom Doan, . "RATS programs to replicate Dueker(2005) JBES dynamic probit model," Statistical Software Components RTZ00049, Boston College Department of Economics.
- Michael J. Dueker, 2003. "Dynamic forecasts of qualitative variables: a Qual VAR model of U.S. recessions," Working Papers 2001-012, Federal Reserve Bank of St. Louis.
- repec:cup:etheor:v:12:y:1996:i:3:p:409-31 is not listed on IDEAS
- Siddhartha Chib & Edward Greenberg, 1994.
"Markov Chain Monte Carlo Simulation Methods in Econometrics,"
9408001, EconWPA, revised 24 Oct 1994.
- Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(03), pages 409-431, August.
- Eichengreen, Barry & Watson, Mark W & Grossman, Richard S, 1985. "Bank Rate Policy under the Interwar Gold Standard: A Dynamic Probit Model," Economic Journal, Royal Economic Society, vol. 95(379), pages 725-45, September.
- Horowitz, Joel L, 1992. "A Smoothed Maximum Score Estimator for the Binary Response Model," Econometrica, Econometric Society, vol. 60(3), pages 505-31, May.
- Kuttner, Kenneth N, 1994. "Estimating Potential Output as a Latent Variable," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 361-68, July.
- Ali Genç, 2013. "Moments of truncated normal/independent distributions," Statistical Papers, Springer, vol. 54(3), pages 741-764, August.
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