A Companion to Theoretical Econometrics

A Companion to Theoretical Econometrics provides a comprehensive reference to the basics of econometrics. It 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.
This book is an exceptional reference for readers who require quick access to the foundation theories in this field. Chapters are organized to provide clear information and to point to further readings on the subject. Important topics covered include:

serial correlation
heteroskedasticity
nonparametric and semiparametric models
count and panel data regression models
spatial correlation

Spis treści:
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 Regressi on. (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.

Nota biograficzna:
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).

Okładka tylna:
A Companion to Theoretical Econometrics provides a comprehensive reference to the basics of econometrics. It 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.
This book is an exceptional reference for readers who require quick access to the foundation theories in this field. Chapters are organized to provide clear information and to point to further readings on the subject. Important topics covered include:

serial correlation
heteroskedasticity
nonparametric and semiparametric models
count and panel data regression models
spatial correlation