Panel Data Econometrics with R - Couverture rigide

Croissant, Yves

Couverture rigide

ISBN 10 : 1118949161 ISBN 13 : 9781118949160

Editeur : Wiley, 2018

A propos du livre

Quatrième de couverture

Panel Data Econometrics with R

 Yves Croissant, Department of Economics, University of La Réunion, France
Giovanni Millo, Group Insurance Research, Generali SpA, Italy

 A practical Guide to using R in the growing field of panel data econometrics

 This bookserves as a tutorial for using R in the field of panel data econometrics, illustrated throughout with examples in econometrics, political science, agriculture and ecology. It presents classic methodology and applications as well as more advanced topics and recent developments in this field including spatial panels, dynamic and generalised linear models. Software procedures are presented at a basic level to provide access to the casual R users. More advanced users will appreciate the scalability of the software and find directions towards more sophisticated operation, exploiting the functional nature of R and its object–orientation features.

 Key features:

• Panel data econometrics is explained in a rigorous but practical way.
• A rich collection of fully reproducible examples features throughout.
• Written by the authors of the well–known ′plm′ package for R
  • Covers the basics of panel data econometrics as taught in graduate econometrics classes.
  • Includes datasets with examples in econometrics, political science, agriculture and ecology.
  • Supported by accompanying website featuring R code, examples, replicable material and instructor materials.

Enriched by a wide collection of examples, this book can be a practical companion to advanced textbooks as well as a primary reference text for practitioners. The techniques covered will also appeal to many social and natural scientists beside economists.

 

 

Présentation de l'éditeur

Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemiology, this book presents classic methodology and applications as well as more advanced topics and recent developments in this field including error component models, spatial panels and dynamic models. They have developed the software programming in R and host replicable material on the book s accompanying website.

Détails de l'édition

• Éditeur: Wiley
• Date d'édition: 2018
• ISBN 10: 1118949161
• ISBN 13: 9781118949160
• Reliure: Relié
• Langue: anglais
• Nombre de pages: 321