Date of Award
5-2014
Degree Type
Report
Degree Name
Master of Science (MS)
Department
Economics and Finance
Committee Chair(s)
Tyler Brough
Committee
Tyler Brough
Committee
Benjamin Blau
Committee
Ryan Whitby
Abstract
The aim of this paper is to carry out a Bayesian econometric application. Using a dataset obtained from Wooldridge's Introductory Econometrics textbook, each step in conducting a Bayesian econometric analysis is performed and explained. For illus- trative and comparative purposes, two limited dependent variable regression forms were used: a linear probability model and a probit model. This paper covers the ben- ets of Bayesian methodology, including selection of distributions for the prior and the likelihood. Additionally, a series of diagnostic checks are done after the models are computed.
Recommended Citation
Siler, Brooke Jeneane, "An Exercise in Bayesian Econometric Analysis Probit and Linear Probability Models" (2014). All Graduate Plan B and other Reports, Spring 1920 to Spring 2023. 389.
https://digitalcommons.usu.edu/gradreports/389
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