'In such a rapidly
expanding subject as econometrics, it becomes increasingly difficult to do full justice to
every field. This book embodies the brilliant notion of having distinguished authorities
in each field contribute the chapters. As a supplement to a textbook, or a source of
reference in its own right, it represents a superb resource for students and research
workers.' James Davidson, Cardiff University
A Companion to Theoretical
Econometrics provides a comprehensive reference to the basics of econometrics. This
companion focuses on the foundations of the field and at the same time integrates popular
topics often encountered by practitioners. The chapters are written by international
experts and provide up-to-date research in areas not usually covered by standard
econometric texts.
- Focuses on the foundations
of econometrics.
- Integrates real-world topics
encountered by professionals and practitioners.
- Draws on up-to-date research
in areas not covered by standard econometrics texts.
- Organized to provide clear,
accessible information and point to further readings.
Contents
List of Figures.
List of Tables.
List of Contributors.
Preface.
Introduction.
1. Artificial Regressions: Russell Davidson and James G. MacKinnon.
2. General Hypothesis Testing: Anil K. Bera and Gamini Premaratne.
3. Serial Correlation: Maxwell L. King.
4. Heteroskedasticity: William E. Griffiths.
5. Seemingly Unrelated Regression: Denzil G. Fiebig.
6. Simultaneous Equation Model Estimators: Statistical Properties and Practical
Implications: Roberto S. Mariano.
7. Identification in Parametric Models: Paul Bekker and Tom Wansbeek.
8. Measurement Error and Latent Variables: Tom Wansbeek and Erik Meijer.
9. Diagnostic Testing: Jeffrey M. Wooldridge.
10. Basic Elements of Asymptotic Theory: Benedikt M. Pötscher and Ingmar R. Prucha.
11. Generalized Method of Moments: Alastair R. Hall.
12. Collinearity: R. Carter Hill and Lee C. Adkins.
13. Non-nested Hypothesis Testing: An Overview: M. Hashem Pesaran and Melvyn Weeks.
14. Spatial Econometrics: Luc Anselin.
15. Essentials of Count Data Regression: A. Colin Cameron and Pravin K. Trivedi.
16. Panel Data Models: Cheng Hsiao.
17. Qualitative Response Models: G.S. Maddala and A. Flores-Lagunes.
18. Self-Selection: Lung-fei Lee.
19. Random Coefficient Models: P.A.V.B. Swamy and George S. Tavlas.
20. Nonparametric Kernel Methods of Estimation and Hypothesis Testing: Aman Ullah.
21. Durations: Christian Gourieroux and Joann Jasiak.
22. Simulation Based Inference for Dynamic Multinomial Choice Models: John Geweke, Daniel
Houser and Michael Keane.
23. Monte Carlo Test Methods in Econometrics: Jean-Marie Dufour and Lynda Khalaf.
24. Bayesian Analysis of Stochastic Frontier Models: Gary Koop and Mark F.J. Steel.
25. Parametric and Nonparametric Tests of Limited Domain and Ordered Hypotheses in
Economics: Esfandiar Maasoumi.
26. Spurious Regressions in Econometrics: Clive W.J. Granger.
27. Forecasting Economic Time Series: James H. Stock.
28. Time Series and Dynamic Models: Aris Spanos.
29. Unit Roots: Herman J. Bierens.
30. Cointegration: Juan J. Dolado, Je_us Gonzalo and Francesc Marmol.
31. Seasonal Nonstationarity and Near-Nonstationarity: Eric Ghysels, Denise R. Osborn and
Paulo M.M.Rodrigues.
32. Vector Autoregressions: Helmut Lütkepohl.
Index.
About the Authors
Badi H. Baltagi is George
Summey, Jr. Professor of Liberal Arts and Professor of Economics at Texas A & M
University. He is a fellow and associate editor of the Journal of Econometrics, associate
editor of Econometric Reviews, co-editor of Empirical Economics, and a recipient of the
Multa Scripsit Award for Econometric Theory. Baltagi has published more than seventy
articles in internationally recognized journals, and is the author of three books: Panel
Data Analysis (1992), Econometric Analysis of Panel Data (1995), and Econometrics (second
edition, 1999).
710 pages
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