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Applied nonparametric econometrics /

Henderson, Daniel J.

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Applied nonparametric econometrics /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applied nonparametric econometrics // Daniel J. Henderson, Christopher F. Parmeter.
作者:	Henderson, Daniel J.
其他作者:	Parmeter, Christopher F.
出版者:	New York, NY :Cambridge University Press, : 2015.,
面頁冊數:	xii, 367 p. :ill. ;26 cm.
標題:	Econometrics. -
ISBN:	9780521279680

Applied nonparametric econometrics /
Henderson, Daniel J.

Applied nonparametric econometrics /Daniel J. Henderson, Christopher F. Parmeter. - New York, NY :Cambridge University Press,2015. - xii, 367 p. :ill. ;26 cm.

Includes bibliographical references (p. 343-357) and index.

Introduction --

"Bridging the gap between applied economists and theoretical nonparametric econometricians, this book explains basic to advanced nonparametric methods with applications"--

ISBN: 9780521279680US51.00

LCCN: 2014005138Subjects--Topical Terms:

542934
Econometrics.

LC Class. No.: HB139 / .H453 2015

Dewey Class. No.: 330.01/51954

Applied nonparametric econometrics /
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050 0 0 $a HB139 $b .H453 2015
082 0 0 $a 330.01/51954 $2 23
100 1 $a Henderson, Daniel J. $3 3205531
245 1 0 $a Applied nonparametric econometrics / $c Daniel J. Henderson, Christopher F. Parmeter.
260 # $a New York, NY : $b Cambridge University Press, $c 2015.
300 $a xii, 367 p. : $b ill. ; $c 26 cm.
504 $a Includes bibliographical references (p. 343-357) and index.
505 0 # $t Introduction -- $t Univariate density estimation -- $t Multivariate density estimation -- $t Testing -- $t Regression -- $t Testing -- $t Smoothing discrete variables -- $t Regression with discrete covariates -- $t Semiparametric methods -- $t Instrumental variables -- $t Panel data -- $t Constrained estimation and inference.
520 # $a "Bridging the gap between applied economists and theoretical nonparametric econometricians, this book explains basic to advanced nonparametric methods with applications"-- $c Provided by publisher.
520 # $a "The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignores the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians. It discusses in depth, and in terms that someone with only one year of graduate econometrics can understand, basic to advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to the reader. It then moves on to kernel regression, estimation with discrete data, and advanced methods such as estimation with panel data and instrumental variables models. The book pays close attention to the issues that arise with programming, computing speed, and application. In each chapter, the methods discussed are applied to actual data, paying attention to presentation of results and potential pitfalls"-- $c Provided by publisher.
650 # 0 $a Econometrics. $3 542934
650 # 0 $a Nonparametric statistics. $3 533309
700 1 # $a Parmeter, Christopher F. $3 3205532