Panel Data Econometrics. Advanced Texts In Econometrics

Arellano, Manuel:

ISBN 10: 0199245290 / ISBN 13: 9780199245291

Published by Oxford University Press, U.S.A., 2003

About this Item

231 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 375.

Seller Inventory # 2297944

Bibliographic Details

• Title: Panel Data Econometrics. Advanced Texts In Econometrics
• Publisher: Oxford University Press, U.S.A.
• Publication Date: 2003
• Language: English
• ISBN 10: 0199245290
• ISBN 13: 9780199245291
• Binding: Broschiert
• Condition: Gut
• Weight: 375 grams
• Seller catalogs:
  • 90 Varia

About this title

Synopsis

Panel data econometrics uses both time series and cross-sectional data sets that have repeated observations over time for the same individuals (individuals can be workers, households, firms, industries, regions, or countries). This book reviews the most important topics in the subject. The three parts, dealing with static models, dynamic models, and discrete choice and related models are organized around the themes of controlling for unobserved heterogeneity and modelling dynamic responses and error components.

About the Series
Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.

About the Author

Manuel Arellano is Professor at CEMFI in Madrid. He was previously a Visiting Professor of Economics at the University of Cambridge, and Editor of The Review of Economic Studies.