Models, Methods and Applications of Econometrics

1. Auflage 1993
ISBN: 978-1-55786-110-8
Verlag: Wiley-Blackwell

Buch, Englisch, 420 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 776 g

The twenty especially commissioned esays in this volume cover a wide field of recent and topical research dealing with both theory and application of econometrics. The contributors comprise an international and distinguished group of economists, econometricians, modelers and statisticians. The volume will be of wide interest to all those concernedd with modelling, forecasting and other applications of econometrics.

The volume is divided into five parts according to separate themes of research that include continuoustime modelling, finite sample theory, dynamic econometric modeling, and empirical applications in macroeconomics, industry and finance. The essays make methodological, empirical and theoretical advances in each of these fields, including many recent topics of intense research such as nonlinear modeling, parameter parsimony, business cycles, Euler equation methodology, rational expectations, vector autoregressions, cointegrated systems, unit roots and semiparametric models.

The volume is dedicated to A. R. Bergstrom and contains a review of his research in these various fields and his essay, What is Econometrics?

Autoren/Hrsg.

Phillips, Greer

Phillips, Peter C. B.

Inhaltsverzeichnis

List of Contributors vii

Preface viii

Acknowledgments ix

Announcement

The A. R. Bergstrom Prize in Econometrics
V. B. Hall and P. C. B. Phillips xi

Part I: The Contributions of A. R. Bergstrom to Econometrics

1. Rex Bergstrom's Career and Research 3

Peter C. B. Phillips

2. What is Econometrics? 9
A. R. Bergstrom

3. The ET Interview: A. R. Bergstrom 12
Interviewed by Peter C. B. Phillips

4. The Publications of A. R. Bergstrom 32

Part II: Continuous-Time Models

5. Forecasting with Continuous-Time and Discrete-Time Series Models: An Empirical Comparison 37

Marcus J. Chambers

6. Estimation, Smoothing, Interpolation, and Distribution for Structural Time-Series Models in Continuous Time 55
A. C. Harvey and James H. Stock

7. Continuous-Time Models in Econometrics: Closed and Open Systems, Stocks and Flows 71
Peter M. Robinson

8. Estimation of Nonlinear Continuous-Time Models from Discrete Data 91
Clifford R. Wymer

Part III: Finite-Sample Theory

9. Some Further Exact Results for Structural Equation Estimators 117
Grant H. Hillier and Christopher L. Skeels

10. Operational Algebra and Regression t-Tests 140
Peter C. B. Phillips

11. Multiple Comparisons Emphasizing Incremental Effects 153
J. Richmond

12. Some Alternatives to the Edgeworth Approximation for Econometric Statistics 165
J. D. Sargan

13. The Finite-Sample Properties of Cointegration Estimators with Applications to Testing 176
Glenn Ellison and Stephen E. Satchell

Part IV: Dynamic Econometric Modeling

14. Reference Cycles in the Time and Frequency Domains: Duality Aspects of the Business Cycle 201

Roger J. Bowden and Vance L. Martin

15. Estimating Linear Quadratic Models with Integrated Processes 220

Allan W. Gregory, Adrian R. Pagan and Gregor W. Smith

16. Reducing Parameter Numbers in Econometric Modeling 240

E. J. Hannan

17. Semiparametric Efficiency Bounds for Linear Time-Series Models 253
Lars P. Hansen

18. Evaluating Dynamic Econometric Models by Encompassing the VAR 272
David F. Hendry and Grayham E. Mizon

19. Empirical Implications of Arbitrage-free Asset Markets 301
S. Maheswaran and Christopher A. Sims

20. Rational Expectations and Integrated Variables 317
Michael R. Wickens

Part V: Empirical Applications

21. The Stochastic Behavior of Mineral-Commodity Prices 339
Terence D. Agbeyegbe

22. Continuous-Time Econometric Modeling and the Issue of Capital Liberalization 354
Giancarlo Gandolfo and Pier Carlo Padoan

23. Economies of Scale in the New Zealand Electricity Distribution Industry 370
David E. A. Giles and Nicolas S. Wyatt

24. Long-run Equilibrium Estimation and Inference: A Nonparametric Application 383
V. B. Hall and R. G. Trevor

Index 403

Über Autor(innen)

Peter C. B. Phillips was educated in New Zealand and gained his Ph.D. from the University of London in 1974. He taught economics at the University of Essex (1972-6) and the University of Birmingham (1976-9) before moving to Yale University in 1979 where he is now Sterling Professor of Economics and Professor of Statistics. He is the founding editor of the journal, Econometric Theory, and a fellow of the Econometric Society, the Japan society for the Promotion of Science and the Guggenheim Foundataion. His present research interests are in time series, Bayesian analysis and empirical macroeconomics.