Nonparametric and Semiparametric Methods in Econometrics and Statistics : Proceedings of the Fifth International Symposium in Economic Theory and Econo

International Symposium in Economic Theo

ISBN 10: 0521370906 / ISBN 13: 9780521370905

Published by Cambridge University Press, 1991

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9780521370905

Bibliographic Details

• Title: Nonparametric and Semiparametric Methods in Econometrics and Statistics : Proceedings of the Fifth International Symposium in Economic Theory and Econo
• Publisher: Cambridge University Press
• Publication Date: 1991
• Language: English
• ISBN 10: 0521370906
• ISBN 13: 9780521370905
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 32D millimeters 235 millimeters width by 157 millimeters height by 32 millimeters depth
• Weight: 879 grams

About this title

Synopsis

This collection of papers delivered at the fifth international Symposium in Economic Theory and Econometrics in 1988 is devoted to recent advances in the estimation and testing of models that impose relatively weak restrictions on the stochastic behavior of data. Particularly in highly nonlinear 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 strong 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.

Book Description

Because empirical results are so sensitive to the choice of the parametric form of the distribution of the observable variable, this collection is devoted to recent advances in the estimation and testing of models that impose relatively weak restrictions.