Buch, Englisch, 416 Seiten, Format (B × H): 171 mm x 246 mm
Buch, Englisch, 416 Seiten, Format (B × H): 171 mm x 246 mm
ISBN: 978-1-4051-1719-7
Verlag: Wiley
In this new and expanding area, Tony Lancaster's text is the first comprehensive introduction to the Bayesian way of doing applied economics. Using clear explanations and practical illustrations and problems, the text presents innovative, computer-intensive ways for applied economists to use the Bayesian method. Covering all the standard econometric models, including linear and non-linear regression using cross-sectional, time series, and panel data, it also details causal inference and inference about structural econometric models. In addition, each chapter includes numerical and graphical examples and demonstrates their solutions using S programming language and Bugs software.
Provides a comprehensive introduction to the Bayesian way of doing applied economics
Emphasizes computation and the study of probability distributions by computer sampling
includes numerical and graphical examples in each chapter, demonstrating their solutions using the S programming language and Bugs software
Contents:
Introduction
1. The Bayesian Algorithm
2. Prediction and Model Checking
3. Linear Regression
4. Bayesian Calculations
5. Nonlinear Regression Models
6. Randomized, Controlled and Observational Data
7. Models for Panel Data
8. Instrumental Variables
9. Some Time Series Models
Appendix 1: A Conversion Manual
Appendix 2: Programming
Appendix 3: BUGS
Index
Zielgruppe
upper-level undergraduate and graduate students in Bayesian econometrics and advanced econometrics courses
