Joel L. Horowitz's Books

Semiparametric and Nonparametric Methods in Econometrics

By: Joel L. Horowitz

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Semiparametric and Nonparametric Methods in Econometrics

By: Joel L. Horowitz

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.

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Page Count

278

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387928707

ISBN 13

9780387928708

Semiparametric Methods in Econometrics

By: Joel L. Horowitz

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Semiparametric Methods in Econometrics

By: Joel L. Horowitz

Many econometric models contain unknown functions as well as finite- dimensional parameters. Examples of such unknown functions are the distribution function of an unobserved random variable or a transformation of an observed variable. Econometric methods for estimating population parameters in the presence of unknown functions are called "semiparametric." During the past 15 years, much research has been carried out on semiparametric econometric models that are relevant to empirical economics. This book synthesizes the results that have been achieved for five important classes of models. The book is aimed at graduate students in econometrics and statistics as well as professionals who are not experts in semiparametic methods. The usefulness of the methods will be illustrated with applications that use real data.

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Page Count

211

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461206219

ISBN 13

9781461206217

Semiparametric and Nonparametric Methods in Econometrics

By: Joel L. Horowitz

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Semiparametric and Nonparametric Methods in Econometrics

By: Joel L. Horowitz

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

278

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387928707

ISBN 13

9780387928708

Book's by Joel L. Horowitz

Semiparametric and Nonparametric Methods in Econometrics

Semiparametric and Nonparametric Methods in Econometrics

Semiparametric Methods in Econometrics

Semiparametric Methods in Econometrics

Semiparametric and Nonparametric Methods in Econometrics

Semiparametric and Nonparametric Methods in Econometrics

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