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Applied Nonparametric Econometrics
Daniel J. Henderson
Christopher F. Parmeter
出版
Cambridge University Press
, 2015-01-19
主題
Business & Economics / Econometrics
Business & Economics / Statistics
Business & Economics / Economics / General
Mathematics / Applied
Mathematics / History & Philosophy
Mathematics / Probability & Statistics / General
ISBN
110701025X
9781107010253
URL
http://books.google.com.hk/books?id=hD3WBQAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.