| Bayesian Model Comparison Contributor(s): Jeliazkov, Ivan (Editor), Poirier, Dale J. (Editor) |
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ISBN: 178441185X ISBN-13: 9781784411855 Publisher: Emerald Group Publishing OUR PRICE: $197.59 Product Type: Hardcover - Other Formats Published: November 2014 |
| Additional Information |
| BISAC Categories: - Business & Economics | Economics - Macroeconomics - Political Science | Public Policy - Economic Policy - Business & Economics | Econometrics |
| Dewey: 330.015 |
| Series: Advances in Econometrics |
| Physical Information: 1.4" H x 6" W x 9.1" (1.49 lbs) 390 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The volume contains articles that should appeal to readers with computational, modeling, theoretical, and applied interests. Methodological issues include parallel computation, Hamiltonian Monte Carlo, dynamic model selection, small sample comparison of structural models, Bayesian thresholding methods in hierarchical graphical models, adaptive reversible jump MCMC, LASSO estimators, parameter expansion algorithms, the implementation of parameter and non-parameter-based approaches to variable selection, a survey of key results in objective Bayesian model selection methodology, and a careful look at the modeling of endogeneity in discrete data settings. Important contemporary questions are examined in applications in macroeconomics, finance, banking, labor economics, industrial organization, and transportation, among others, in which model uncertainty is a central consideration. |