- ホーム
- > 洋書
- > 英文書
- > Business / Economics
基本説明
The leading textbook in its field; the second edition sold over 20,000 copies.
Full Description
"Introduction to Econometrics" has been significantly revised to include new developments in the field. The previous editions of this text were renowned for Maddala's clear exposition and the presentation of concepts in an easily accessible manner. The features include: New chapters have been included on panel data analysis, large sample inference and small sample inference; Chapter 14 - Unit Roots and Co-integration has been rewritten to reflect recent developments in the Dickey-Fuller (DF), the Augmented Dickey-Fuller (ADF) tests and the Johansen procedure; and a selection of data sets and the instructor's manual for the book can be found on our web site. Comments on the previous edition: 'Maddala is an outstanding econometrician who has a deep understanding of the use and potential abuse of econometrics...' 'The strengths of the Maddala book are its simplicity, its accessibility and the large number of examples the book contains...' 'The second edition is well written and the chapters are focused and easy to follow from beginning to end. Maddala has an outstanding grasp of the issues, and the level of mathematics and statistics is appropriate as well.'
Contents
Foreword. Preface to the Second Edition. Preface to the Third Edition. Obituary. INTRODUCTION AND THE LINEAR REGRESSION MODEL. What is Econometrics? Statistical Background and Matrix Algebra. Simple Regression. *Multiple Regression. VIOLATION OF THE ASSUMPTIONS OF THE BASIC MODEL. *Heteroskedasticity. *Autocorrelation. Multicollinearity. *Dummy Variables and Truncated Variables. Simultaneous Equations Models. Nonlinear Regression, Models of Expectations, and Nonnormality. Errors in Variables. SPECIAL TOPICS. Diagnostic Checking, Model Selection, and Specification Testing. *Introduction to Time--Series Analysis. Vector Autoregressions, Unit Roots, and Cointegration. *Panel Data Analysis. *Large--Sample Theory. *Small--Sample Inference: Resampling Methods. Appendix A: *Data Sets. Appendix B:* Data Sets on the Web. Appendix C:* Computer Programs. Index.
