Semiparametric regression for the applied econometrician / Adonis Yatchew.
Material type:
TextSeries: Themes in modern econometricsPublication details: New York : Cambridge University Press, 2003.Description: 1 online resource (xix, 213 pages) : illustrationsContent type: - text
- computer
- online resource
- 0511064675
- 9780511064678
- 0511073135
- 9780511073137
- 9780521812832
- 0521812836
- 9780521012263
- 0521012260
- 1280161205
- 9781280161209
- 0511120397
- 9780511120398
- 0511205988
- 9780511205989
- 0511296991
- 9780511296994
- 0511615884
- 9780511615887
- 330/.01/519536 22
- HB139 .Y38 2003eb
- F224. 0
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Electronic-Books
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OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Includes bibliographical references (pages 197-207) and index.
Print version record.
Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; List of Figures and Tables; Preface; 1 Introduction to Differencing; 2 Background and Overview; 3 Introduction to Smoothing; 4 Higher-Order Differencing Procedures; 5 Nonparametric Functions of Several Variables; 6 Constrained Estimation and Hypothesis Testing; 7 Index Models and Other Semiparametric Specifications; 8 Bootstrap Procedures; Appendix A -- Mathematical Preliminaries; Appendix B -- Proofs; Appendix C -- Optimal Differencing Weights; Appendix D -- Nonparametric Least Squares; Appendix E -- Variable Definitions.
This book provides simple and flexible (nonparametric) techniques for analyzing regression data. It includes a series of empirical examples including estimation of Engel curves and equivalence scales, scale economies, household gasoline consumption, housing prices, option prices and state price density estimation.
English.
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