Description
Book SynopsisProviding an understanding and experience of econometrics, this book covers basic econometric methods and addresses the creative process of model building. Using examples and exercises, it focuses on regression and covers choice data and time series data. It is aimed at undergraduate students, new graduate students, and applied researchers.
Trade Review'. . . students will find the contents of this book to be a very helpful guide . . . Because of its wide coverage and careful presentation the book should be useful for a diverse group of students in many countries and interested in a variety of areas of applications.' * C. W. J. Granger, Nobel Laureate *
'Most econometric texts can be described as either primarily theoretical or primarily applied. This is the first text I've seen that does a really nice job of bridging the gap between the two in a single unified whole. . . . I can strongly recommend this book to anyone desiring a firm understanding of both where econometric methods come from and how they are used in practice.' * James D. Hamilton, University of California, San Diego *
'. . . superbly presented, the coverage is thorough, the technical rigour is sensibly balanced, and the empirical examples demonstrate the techniques effectively. The exercises are stimulating, the answers are insightful, and the exposition in the background material is excellent. It will appeal very strongly to researchers, instructors and students' * Michael McAleer, University of Western Australia *
'. . . a thorough introduction to the basic principles of econometrics . . . The strong link between theory and applications provides great motivation for studying econometrics.' * Helmut Lütkepohl, European University Institute, Florence *
'. . . meticulously crafted to give an almost seamless transition between learning and doing econometrics . . . There is something here for all students of econometrics.' * Michael P. Clements, Warwick University *
Table of Contents1 REVIEW OF STATISTICS; 2 SIMPLE REGRESSION; 3 MULTIPLE REGRESSION; 4 NON-LINEAR METHODS; 5 DIAGNOSTIC TESTS AND MODEL ADJUSTMENTS; 6 QUALITATIVE AND LIMITED DEPENDENT VARIABLES; 7 TIME SERIES AND DYNAMIC MODELS; APPENDIX A: MATRIX METHODS; APPENDIX B: DATA SETS; INDEX
