Nonparametric semiparametric methods econometrics (25 Ergebnisse)

Paperback. Zustand: Good. 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.…

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paperback. Zustand: VERY GOOD. 493 clean, unmarked, tight pages; very light shelf and corner wear on cover.

Soft cover. Zustand: Good. No Jacket. 1st Edition. Condition : Good. Ex-university library copy with associated library stamps etc. Soft cover, no jacket. 493pp. No highlighting or annotations to text.

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Zustand: Used. pp. 508 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

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paperback. Zustand: New. In shrink wrap. Looks like an interesting title.

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First edition. viii, 493 pages. Cloth bound in very good condition except for number written on front cover.

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Taschenbuch. Zustand: Neu. 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.…

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Zustand: New. Papers from a 1988 symposium on the estimation and testing of models that impose relatively weak restrictions on the stochastic behaviour of data. Editor(s): Barnett, William A.; Powell, James; Tauchen, George E. Series Editor(s): Barnett, William A. Series: International Symposia in Economic Theory and Econometrics. Num Pages: 508 pages, 1 half-tone. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 29. Weight in Grams: 804. . 1991. hardcover. . . . .…

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Zustand: gut. 2009. Semiparametric and Nonparametric Methods in Econometrics (Springer Series in Statistics) In englischer Sprache. pages.

Zustand: New. Papers from a 1988 symposium on the estimation and testing of models that impose relatively weak restrictions on the stochastic behaviour of data. Editor(s): Barnett, William A.; Powell, James; Tauchen, George E. Series Editor(s): Barnett, William A. Series: International Symposia in Economic Theory and Econometrics. Num Pages: 508 pages, 1 half-tone. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 29. Weight in Grams: 804. . 1991. hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. 493 pages. 9.00x6.25x1.00 inches. In Stock.

Buch. Zustand: Neu. 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.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Standard methods for estimating empirical models in economics and many other fields rely on strong assumptions about functional forms and the distributions of unobserved random variables. Often, it is assumed that functions of interest are linear or that unobserved random variables are normally distributed. Such assumptions simplify estimation and statistical inference but are rarely justified by economic theory or other a priori considerations. Inference based on convenient but incorrect assumptions about functional forms and distributions can be highly misleading. Nonparametric and semiparametric statistical methods provide a way to reduce the strength of the assumptions required for estimation and inference, thereby reducing the opportunities for obtaining misleading results. These methods are applicable to a wide variety of estimation problems in empirical economics and other fields, and they are being used in applied research with increasing frequency.The literature on nonparametric and semiparametric estimation is large and highly technical. This book presents the main ideas underlying a variety of nonparametric and semiparametric methods. It is accessible to graduate students and applied researchers who are familiar with econometric and statistical theory at the level taught in graduate-level courses in leading universities. The book emphasizes ideas instead of technical details and provides as intuitive an exposition as possible. Empirical examples illustrate the methods that are presented.This book updates and greatly expands the author's previous book on semiparametric methods in econometrics. Nearly half of the material is new.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Standard methods for estimating empirical models in economics and many other fields rely on strong assumptions about functional forms and the distributions of unobserved random variables. Often, it is assumed that functions of interest are linear or that unobserved random variables are normally distributed. Such assumptions simplify estimation and statistical inference but are rarely justified by economic theory or other a priori considerations. Inference based on convenient but incorrect assumptions about functional forms and distributions can be highly misleading. Nonparametric and semiparametric statistical methods provide a way to reduce the strength of the assumptions required for estimation and inference, thereby reducing the opportunities for obtaining misleading results. These methods are applicable to a wide variety of estimation problems in empirical economics and other fields, and they are being used in applied research with increasing frequency.The literature on nonparametric and semiparametric estimation is large and highly technical. This book presents the main ideas underlying a variety of nonparametric and semiparametric methods. It is accessible to graduate students and applied researchers who are familiar with econometric and statistical theory at the level taught in graduate-level courses in leading universities. The book emphasizes ideas instead of technical details and provides as intuitive an exposition as possible. Empirical examples illustrate the methods that are presented.This book updates and greatly expands the author's previous book on semiparametric methods in econometrics. Nearly half of the material is new.…

Zustand: As New. Unread book in perfect condition.