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Bayesian Econometrics

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  • Dale, Poirier J
  • Tobias, Justin

Abstract

Basic principles of Bayesian statistics and econometrics are reviewed. The topics covered include point and interval estimation, hypothesis testing, prediction, model building and choice of prior. We also review in very general terms recent advances in computational methods and illustrate the use of these techniques with an application.

Suggested Citation

  • Dale, Poirier J & Tobias, Justin, 2006. "Bayesian Econometrics," Staff General Research Papers Archive 12428, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:12428
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    Cited by:

    1. Gardebroek, Cornelis & Oude Lansink, Alfons G.J.M., 2008. "Dynamic Microeconometric Approaches To Analysing Agricultural Policy," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6592, European Association of Agricultural Economists.
    2. Juan M.C. Larrosa, 2005. "Compositional Time Series: Past and Present," Econometrics 0510002, EconWPA.

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