An introduction to Bayesian inference in econometrics pdf

Arnold Zellner was born on January 2, 1927, in Brooklyn, New York. Arnold attended Harvard University on scholarship, earning a bachelor’s degree in physics in 1949. Upon completing his tour of duty in the Army, he used his GI Bill benefits to attend the University of California, Berkley, where he earned a PhD in economics in 1957. He held appointments in the Department of Economics at the University of Washington (1955–1960) and the University of Wisconsin (1961–1966) before accepting an appointment as the H.G.B. Alexander Professor of Economics and Statistics at the University of Chicago, Graduate School of Business (1966–1996). Since retiring in 1996 from the University of Chicago, he has been a frequent lecturer throughout the world and a visiting professor in the Department of Agricultural and Resource Economics at the University of California, Berkley.

An introduction to Bayesian inference in econometrics pdf by Arnold Zellner

This is a classical reprint edition of the original 1971 edition of An Introduction to Bayesian Inference in Economics. This historical volume is an early introduction to Bayesian inference and methodology which still has lasting value for today's statistician and student. The coverage ranges from the fundamental concepts and operations of Bayesian inference to analysis of applications in specific econometric problems and the testing of hypotheses and models.