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Applied Nonparametric Econometrics
Taschenbuch von Daniel J. Henderson (u. a.)
Sprache: Englisch

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Beschreibung
The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians, discussing basic to advanced nonparametric methods with applications.
The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians, discussing basic to advanced nonparametric methods with applications.
Über den Autor
Daniel J. Henderson is the J. Weldon and Delores Cole Faculty Fellow at the University of Alabama, as well as a research fellow at the Institute for the Study of Labor (IZA) in Bonn, Germany, and at the Wang Yanan Institute for Studies in Economics, Xiamen University, in Xiamen, China. He was formerly an associate and Assistant Professor of Economics at the State University of New York at Binghamton. He has held visiting appointments at the Institute of Statistics, Université catholique de Louvain, in Louvain-la-Neuve, Belgium, and in the Department of Economics at Southern Methodist University in Dallas, Texas. He received his PhD in economics from the University of California, Riverside. His work has been published in journals such as the Economic Journal, the European Economic Review, the International Economic Review, the Journal of Applied Econometrics, the Journal of Econometrics, the Journal of Human Resources, the Journal of the Royal Statistical Society, and the Review of Economics and Statistics.
Inhaltsverzeichnis
1. Introduction; 2. Univariate density estimation; 3. Multivariate density estimation; 4. Inference about the density; 5. Regression; 6. Testing in regression; 7. Smoothing discrete variables; 8. Regression with discrete covariates; 9. Semiparametric methods; 10. Instrumental variables; 11. Panel data; 12. Constrained estimation and inference; Bibliography; Index.
Details
Erscheinungsjahr: 2016
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: Kt kartonierte Bücher
ISBN-13: 9780521279680
ISBN-10: 0521279682
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Henderson, Daniel J.
Parmeter, Christopher F.
Hersteller: Cambridge University Press
Maße: 254 x 178 x 21 mm
Von/Mit: Daniel J. Henderson (u. a.)
Erscheinungsdatum: 29.03.2016
Gewicht: 0,713 kg
Artikel-ID: 105218775
Über den Autor
Daniel J. Henderson is the J. Weldon and Delores Cole Faculty Fellow at the University of Alabama, as well as a research fellow at the Institute for the Study of Labor (IZA) in Bonn, Germany, and at the Wang Yanan Institute for Studies in Economics, Xiamen University, in Xiamen, China. He was formerly an associate and Assistant Professor of Economics at the State University of New York at Binghamton. He has held visiting appointments at the Institute of Statistics, Université catholique de Louvain, in Louvain-la-Neuve, Belgium, and in the Department of Economics at Southern Methodist University in Dallas, Texas. He received his PhD in economics from the University of California, Riverside. His work has been published in journals such as the Economic Journal, the European Economic Review, the International Economic Review, the Journal of Applied Econometrics, the Journal of Econometrics, the Journal of Human Resources, the Journal of the Royal Statistical Society, and the Review of Economics and Statistics.
Inhaltsverzeichnis
1. Introduction; 2. Univariate density estimation; 3. Multivariate density estimation; 4. Inference about the density; 5. Regression; 6. Testing in regression; 7. Smoothing discrete variables; 8. Regression with discrete covariates; 9. Semiparametric methods; 10. Instrumental variables; 11. Panel data; 12. Constrained estimation and inference; Bibliography; Index.
Details
Erscheinungsjahr: 2016
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: Kt kartonierte Bücher
ISBN-13: 9780521279680
ISBN-10: 0521279682
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Henderson, Daniel J.
Parmeter, Christopher F.
Hersteller: Cambridge University Press
Maße: 254 x 178 x 21 mm
Von/Mit: Daniel J. Henderson (u. a.)
Erscheinungsdatum: 29.03.2016
Gewicht: 0,713 kg
Artikel-ID: 105218775
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