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<P>A Guide to Econometrics and Decision-Making with Prior Information</P>
<P>Contents<BR>Chapter 1 Introduction 1<BR>Part I Theory and Basics<BR>Chapter 2 A Quick Course in Bayesian Statistics and<BR>Decision Theory 6<BR>Chapter 3 New Advances in Numerical Bayesian<BR>Techniques 19<BR>Part II Applications in Econometrics<BR>Chapter 4 Imposing Economic Theory 30<BR>Chapter 5 Studying Parameters of Interest 41<BR>Chapter 6 Unit Root and Cointegration Tests 49<BR>Chapter 7 Model Specification Uncertainty 64<BR>Chapter 8 Forecasting 72<BR>Chapter 9 More Realistic Models Through<BR>Numerical Methods 82<BR>Part III Applications to Economic Decision Making<BR>Chapter 10 Decision Theory Applications 88<BR>Bibliography 97<BR>Index 109</P>