Applied nonparametric econometrics

Daniel J. Henderson, Christopher Parmeter

Research output: Book/ReportBook

83 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
PublisherCambridge University Press
Number of pages367
ISBN (Electronic)9780511845765
ISBN (Print)9781107010253
DOIs
StatePublished - Jan 1 2015

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Econometrics
Nonparametric methods
Instrumental variables
Economists
Panel data
Applied econometrics
Empirical research
Kernel regression
Programming
Density estimation
Economics

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)

Cite this

Applied nonparametric econometrics. / Henderson, Daniel J.; Parmeter, Christopher.

Cambridge University Press, 2015. 367 p.

Research output: Book/ReportBook

Henderson, Daniel J. ; Parmeter, Christopher. / Applied nonparametric econometrics. Cambridge University Press, 2015. 367 p.
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