Posterior distributions in limited information analysis of the simultaneous equations model using the Jeffreys prior

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Posterior distributions in limited information analysis of the simultaneous equations model using the Jeffreys prior

Author Info

Chao, J. C.
Phillips, P. C. B.

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Peter C. B. Phillips

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Article provided by Elsevier in its journal Journal of Econometrics.

Volume (Year): 87 (1998)
Issue (Month): 1 (August)
Pages: 49-86
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Handle: RePEc:eee:econom:v:87:y:1998:i:1:p:49-86

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Chuanming Gao & Kajal Lahiri, 2000. "A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometric Society World Congress 2000 Contributed Papers 0230, Econometric Society. [Downloadable!]
Stanislav Radchenko, 2004. "Limited Information Bayesian Analysis of a Simultaneous Equation with an Autocorrelated Error Term and its Application to the U.S. Gasoline Market," Econometrics 0408001, EconWPA. [Downloadable!]
Other versions:
- Radchenko, Stanislav & Tsurumi, Hiroki, 2006. "Limited information Bayesian analysis of a simultaneous equation with an autocorrelated error term and its application to the U.S. gasoline market," Journal of Econometrics, Elsevier, vol. 133(1), pages 31-49, July. [Downloadable!] (restricted)
F. Kleibergen & R. Kleijn & R. Paap, 2000. "The Bayesian score statistic," Econometric Institute Report 193, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
Other versions:
- Kleibergen, F.R. & Kleijn, R.H. & Paap, R., 2000. "The Bayesian Score Statistic," Econometric Institute Report EI ; ECONOMETRIC INSTITUT, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
- Frank Kleibergen & Richard Kleijn & Richard Paap, 2000. "The Bayesian Score Statistic," Tinbergen Institute Discussion Papers 00-035/4, Tinbergen Institute. [Downloadable!]
John C. Chao & Peter C.B. Phillips, 1998. "Jeffreys Prior Analysis of the Simultaneous Equations Model in the Case with n+1 Endogenous Variables," Cowles Foundation Discussion Papers 1198, Cowles Foundation, Yale University. [Downloadable!]
Other versions:
- Chao, John C. & Phillips, Peter C. B., 2002. "Jeffreys prior analysis of the simultaneous equations model in the case with n+1 endogenous variables," Journal of Econometrics, Elsevier, vol. 111(2), pages 251-283, December. [Downloadable!] (restricted)
Dale J. Poirier & Gary Koop & Justin Tobias, 2005. "Semiparametric Bayesian inference in multiple equation models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 723-747. [Downloadable!]
Other versions:
- Koop, Gary & Poirier, Dale J & Tobias, Justin, 2004. "Semiparametric Bayesian Inference in Multiple Equation Models," Staff General Research Papers 12009, Iowa State University, Department of Economics.
C.S. Forbes & G.M. Martin & J. Wright, 2002. "Bayesian Estimation of a Stochastic Volatility Model Using Option and Spot Prices," Monash Econometrics and Business Statistics Working Papers 2/02, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
Stanislav Radchenko, 2004. "Lags in the response of gasoline prices to changes in crude oil," Econometrics 0406001, EconWPA. [Downloadable!]
Kleibergen, Frank & Dijk, Herman K. van, 1996. "Bayesian simultaneous equations analysis using reduced rank structures," Econometric Institute Report 47, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
Other versions:
- Kleibergen, F. & Van Dijk, H.K., 1997. "Bayesian Simultaneous Equations Analysis Using Reduced Rank Structures," Papers 9714/a, Erasmus University of Rotterdam - Econometric Institute.
Gael M. Martin, 2000. "US deficit sustainability: a new approach based on multiple endogenous breaks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 83-105. [Downloadable!]
Other versions:
- Martin, G.M., 1998. "U.S. Deficit Sustainability: A New Approach Based on Multiple Endogenous Breaks," Monash Econometrics and Business Statistics Working Papers 1/98, Monash University, Department of Econometrics and Business Statistics.

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