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Non-Parametric Econometrics - Ibrahim Ahamada, Emmanuel Flachaire

Non-Parametric Econometrics

Buch | Hardcover
176 Seiten
2010
Oxford University Press (Verlag)
978-0-19-957800-9 (ISBN)
CHF 128,10 inkl. MwSt
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This volume provides an accessible introduction to nonparametric and semiparametric econometrics for those with a basic understanding of econometrics. This is the second in a series of books designed to provide practitioners, researchers, and students with practical introductions to various topics in econometrics.
This book allows those with a basic knowledge of econometrics to learn the main nonparametric and semiparametric techniques used in econometric modelling, and how to apply them correctly. It looks at kernel density estimation, kernel regression, splines, wavelets, and mixture models, and provides useful empirical examples throughout. Using empirical application, several economic topics are addressed, including income distribution, wage equation, economic convergence, the Phillips curve, interest rate dynamics, returns volatility, and housing prices. A helpful appendix also explains how to implement the methods using R.

This useful book will appeal to practitioners and researchers who need an accessible introduction to nonparametric and semiparametric econometrics. The practical approach provides an overview of the main techniques without including too much focus on mathematical formulas. It also serves as an accompanying textbook for a basic course, typically at undergraduate or graduate level.

Ibrahim Ahamada is Assistant Professor of Economics at the University Paris 1 Panthéon-Sorbonne and a member of the Paris School of Economics. Between 2002 and 2004, he held position at the Université de la Réunion. He obtained his PhD in Economics from the Université de la Méditerranée in 2002. ; Emmanuel Flachaire is Professor of Economics at Aix-Marseille University and a member of the GREQAM (Groupement de Recherche en Economie Quantitative d'Aix Marseille). Between 2001 and 2008, he taught at the University Paris 1 Panthéon-Sorbonnne, and at the Paris School of Economics. After obtaining his PhD in Economics from the Université de la Méditerranée in 1998, he has held short research positions at CORE, Université Catholique de Louvain, and the London School of Economics.

1. Kernel Density Estimation ; 2. Kernel Regression ; 3. Spline Regression ; 4. Wavelet Regression ; 5. Semi-Parametric Regression Models ; 6. Mixture Models ; Appendix: Implementation in R

Erscheint lt. Verlag 23.12.2010
Reihe/Serie Practical Econometrics
Zusatzinfo 38 Figures, 4 tables
Verlagsort Oxford
Sprache englisch
Maße 158 x 241 mm
Gewicht 428 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Wirtschaft Volkswirtschaftslehre Ökonometrie
ISBN-10 0-19-957800-1 / 0199578001
ISBN-13 978-0-19-957800-9 / 9780199578009
Zustand Neuware
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