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Nonparametric and Semiparametric Methods in Econometrics and Statistics

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Nonparametric and Semiparametric Methods in Econometrics and Statistics Synopsis

This collection of papers delivered at the Fifth International Symposium in Economic Theory and Econometrics in 1988 is devoted to the estimation and testing of models that impose relatively weak restrictions on the stochastic behaviour of data. Particularly in highly non-linear models, empirical results are very sensitive to the choice of the parametric form of the distribution of the observable variables, and often nonparametric and semiparametric models are a preferable alternative. Methods and applications that do not require string parametric assumptions for their validity, that are based on kernels and on series expansions, and methods for independent and dependent observations are investigated and developed in these essays by renowned econometricians.

About This Edition

ISBN: 9780521370905
Publication date: 26th July 1991
Author: William A Barnett
Publisher: Cambridge University Press
Format: Hardback
Pagination: 508 pages
Series: International Symposia in Economic Theory and Econometrics
Genres: Econometrics and economic statistics