Gary Koop – Bayesian Econometric Methods

Description

Gary Koop – Bayesian Econometric Methods

This quantity within the Econometric Exercises collection incorporates questions and solutions to offer college students with helpful observe, as they try and grasp Bayesian econometrics. In addition to many theoretical workout routines, this guide incorporates workout routines designed to develop the computational instruments utilized in fashionable Bayesian econometrics. The latter half of the guide incorporates workout routines that present how these theoretical and computational expertise are mixed in observe, to hold out Bayesian inference in all kinds of fashions generally utilized by econometricians. Aimed primarily at superior undergraduate and graduate college students finding out econometrics, this guide can also be helpful for college students finding out finance, advertising, agricultural economics, enterprise economics or, extra typically, any area which makes use of statistics. The guide additionally comes outfitted with a supporting web site containing all of the related information units and MATLAB pc applications for fixing the computational workout routines.

 

Review

“This is an excellent addition to a well conceived and motivated series. Written by three prolific and mature contributors to modern Bayesian econometrics, it is well organized, clear, concise, and comprehensive. Combined with its associated web site, which provides the related computer programs, it is complementary to currently available Bayesian econometrics texts and dramatically lowers the cost of learning and using modern Bayesian econometric methods.”
Pravin Okay. Trivedi, Indiana University

“Koop, Poirier and Tobias have constructed a set of exercises in Bayesian econometrics and exposited these and their solutions with the exceptional clarity and good sense that one associates with these authors. A number of these exercises are of interest in their own right and, taken together, they will all provide a valuable complement to the introductory texts in Bayesian econometrics that have recently appeared on the market.”
Anthony Lancaster, Brown University

“For the econometrician new to Bayesian methods, both the narrative and the exercises in this volume will expand conceptual horizons and establish new ways of thinking about econometrics. For the novice practitioner, the exercises provide an accessible bridge from theory to application. Experienced Bayesian practitioners will enjoy and benefit from testing their mettle on the wide selection of models treated in the book. Instructors at all levels will find material here that enhances classroom and computer laboratory experience.”
John Geweke, University of Iowa

“The book presents a concise and comprehensive narration of theory, computational techniques, and a range of applications related to Bayesian methods. Overall, this 350-page book covers a vast range of topics, presenting them in a clear and intuitive fashion that can help disseminate these techniques to a broad but technically savvy audience.”
Anirban Basu, Journal of the American Statistical Association

Book Description

This guide goals to show Bayesian econometrics by offering a variety of solved workout routines. In addition to many theoretical workout routines, this guide incorporates workout routines designed to develop the computational instruments utilized in fashionable Bayesian econometrics.

About the Author

Gary Koop is Professor of Economics on the University of Strathclyde. He has printed quite a few articles in Bayesian econometrics and statistics in journals similar to Journal of Econometrics, Journal of the American Statistical Association and the Journal of Business and Economic Statistics. He is an affiliate editor for a number of journals, together with Journal of Econometrics and Journal of Applied Econometrics. He is the creator of the books Bayesian Econometrics, Analysis of Economic Data and Analysis of Financial Data.

Dale J. Poirier is Professor of Economics on the University of California, Irvine. He is a Fellow of the Econometric Society, the American Statistical Association, and the Journal of Econometrics. He has been on the Editorial Boards of the Journal of Econometrics, Econometric Theory, and was the founding editor of Econometric Reviews. His skilled actions have been quite a few, and he has held elected positions within the American Statistical Association and the International Society for Bayesian Analysis. Previous books embrace Intermediate Statistics and Econometrics: A Comparative Approach and The Econometrics of Structural Change.

Justin L. Tobias is Associate Professor of Economics, Iowa State University, and has additionally served as an Assistant/Associate Professor of Economics on the University of California, Irvine. Professor Tobias has authored quite a few articles in main journals, together with the International Economic Review, Journal of Applied Econometrics, Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics.