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Bayesian Econometric Methods

  • Gary Koop, University of Strathclyde
  • Dale J. Poirier, University of California, Irvine
  • Justin L. Tobias, Iowa State University
  • Hardback
  • ISBN:9780521855716
  • Publication date:March 2007
  • 380pages
  • 39 tables
    • Dimensions: 248 x 174 mm
    • Weight: 0.788kg
      65.0097805218557160GB0en_GBGBP£
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    A new book in the Econometric Exercises series, this volume contains questions and answers to provide students with useful practice, as they attempt to master Bayesian econometrics. In addition to many theoretical exercises, this book contains exercises designed to develop the computational tools used in modern Bayesian econometrics. The latter half of the book contains exercises that show how these theoretical and computational skills are combined in practice, to carry out Bayesian inference in a wide variety of models commonly used by econometricians. Aimed primarily at advanced undergraduate and graduate students studying econometrics, this book may also be useful for students studying finance, marketing, agricultural economics, business economics or, more generally, any field which uses statistics. The book also comes equipped with a supporting website containing all the relevant data sets and MATLAB computer programs for solving the computational exercises.

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