Bayesian Econometrics introduces the reader to the use of Bayesian methods in the field of econometrics at the advanced undergraduate or graduate level. The book is self-contained and does not require previous training in econometrics. The focus is on models used by applied economists and the computational techniques necessary to implement Bayesian methods when doing empirical work. It includes numerous numerical examples and topics covered in the book include:

• the regression model (and variants applicable for use with panel data
• time series models
• models for qualitative or censored data
• nonparametric methods and Bayesian model averaging.

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