Dynamic econometric modeling /

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Bibliographic Details
Meeting name:International Symposium in Economic Theory and Econometrics (3rd : 1986 : Austin, Tex.)
Imprint:Cambridge [Cambridgeshire] ; New York : Cambridge University Press, 1988.
Description:x, 376 p. : ill. ; 24 cm.
Language:English
Series:International symposia in economic theory and econometrics
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/898960
Hidden Bibliographic Details
Other authors / contributors:Barnett, William A.
Berndt, Ernst R.
White, Halbert
ISBN:0521333954
Notes:Includes bibliographies.
Table of Contents:
  • Editors+ introduction
  • List of contributors
  • Part 1. Dynamic Structural Modeling
  • 1. Efficient instrumental variables estimation of systems of implicit heterogeneous nonlinear dynamic equations with nonspherical errors
  • 2. Envelope consistent functional separability
  • 3. Flexible functional forms for profit functions and global curvature conditions
  • 4. Likelihood inference in the nonlinear regression model with explosive linear dynamics
  • 5. Exact inference in models with autoregressive conditional heteroscedasticity
  • 6. Control of a linear regression process with unknown parameters
  • 7. Some tests of nonparametric regression models
  • Part II. Linear Time Series Modeling
  • 8. A central-limit result for instrumental variables estimators of linear time series models Lars
  • 9. Exact and approximate distribution of the t ratio test statistic in an AR(1) model
  • 10. The use of ARIMA models in unobserved-components estimation: an application to Spanish monetary control
  • Part III. Chaotic Attractor Modeling
  • 11. The aggregation-theoretic monetary aggregates are chaotic and have strange attractors: an econometric application of mathematical chaos
  • 12. Theorems on distinguishing deterministic from random systems
  • Part IV. Applications
  • 13. Investment and sales: some empirical evidence
  • 14. Me and my shadow: estimating the size of the U.S. hidden economy from time series data
  • 15. Estimating structural models of unemployment and job duration
  • 16. Comparison of dynamic factor demand models