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|a Yatchew, Adonis.
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|a Semiparametric regression for the applied econometrician /
|c Adonis Yatchew.
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|a New York :
|b Cambridge University Press,
|c 2003.
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|a 1 online resource (xix, 213 pages) :
|b illustrations
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|a Themes in modern econometrics
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|a Includes bibliographical references (pages 197-207) and index.
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|a Print version record.
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|a 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.
|
520 |
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|a 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.
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|a English.
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|a Econometrics.
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|a Regression analysis.
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|i Print version:
|a Yatchew, Adonis.
|t Semiparametric regression for the applied econometrician.
|d New York : Cambridge University Press, 2003
|z 0521812836
|z 0521012260
|w (DLC) 2002041002
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|a Themes in modern econometrics.
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