Bayesian Bootstrap Analysis of Systems of Equations
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DOI: 10.22004/ag.econ.18786
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References listed on IDEAS
- Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-1339, November.
- Kloek, Tuen & van Dijk, Herman K, 1978.
"Bayesian Estimates of Equation System Parameters: An Application of Integration by Monte Carlo,"
Econometrica, Econometric Society, vol. 46(1), pages 1-19, January.
- Kloek, T. & van Dijk, H. K., 1976. "BAYESIAN ESTIMATES OF EQUATION SYSTEM PARAMETERS An Application of Integration by Monte Carlo," Econometric Institute Archives 272139, Erasmus University Rotterdam.
- van Dijk, H. K. & Kloek, T., 1980.
"Further experience in Bayesian analysis using Monte Carlo integration,"
Journal of Econometrics, Elsevier, vol. 14(3), pages 307-328, December.
- van Dijk, H. K. & Kloek, T., 1980. "Further Experience In Bayesian Analysis Using Monte Carlo Integration," Econometric Institute Archives 272261, Erasmus University Rotterdam.
- Geweke, John, 1986. "Exact Inference in the Inequality Constrained Normal Linear Regression Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(2), pages 127-141, April.
- Cambanis, Stamatis & Huang, Steel & Simons, Gordon, 1981. "On the theory of elliptically contoured distributions," Journal of Multivariate Analysis, Elsevier, vol. 11(3), pages 368-385, September.
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Cited by:
- Grigory Franguridi, 2014. "Higher order conditional moment dynamics and forecasting value-at-risk (in Russian)," Quantile, Quantile, issue 12, pages 69-82, February.
- von Lampe, Martin, 1998. "The World Agricultural Trade Simulation System WATSIM: An Overview," Discussion Papers 18788, University of Bonn, Institute for Food and Resource Economics.
- von Lampe, Martin, 1998. "Veranderung von Einkommenselastizitaten im Verlauf der wirtschaftlichen Entwicklung - Problematik und Umsetzung im WATSIM," Discussion Papers 18780, University of Bonn, Institute for Food and Resource Economics.
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Research Methods/ Statistical Methods;Statistics
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