Production and Efficiency Analysis with R - Softcover

Behr, Andreas

 
9783319205014: Production and Efficiency Analysis with R
Softcover
ISBN 10: 3319205013 ISBN 13: 9783319205014
Verlag: Springer, 2016

Inhaltsangabe

This textbook introduces essential topics and techniques in production and efficiency analysis and shows how to apply these methods using the statistical software R. Numerous small simulations lead to a deeper understanding of random processes assumed in the models and of the behavior of estimation techniques. Step-by-step programming provides an understanding of advanced approaches such as stochastic frontier analysis and stochastic data envelopment analysis. The text is intended for master students interested in empirical production and efficiency analysis. Readers are assumed to have a general background in production economics and econometrics, typically taught in introductory microeconomics and econometrics courses.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Prof. Dr. Andreas Behr has held a chair for Statistics at the University Duisburg-Essen since 2009. He studied economics and business administration in Frankfurt/Main, where he received his doctoral degree for a thesis on intra-industry trade. After spending three months as visiting researcher in Fukuoka, Japan, he completed his postdoctoral thesis on investment and liquidity constraints in Frankfurt. From 2003-2008 he taught at Muenster University. His research interests include efficiency analysis, economics statistics, panel data analysis and survey methods.


Von der hinteren Coverseite

This textbook introduces essential topics and techniques in production and efficiency analysis and shows how to apply these methods using the statistical software R. Numerous small simulations lead to a deeper understanding of random processes assumed in the models and of the behavior of estimation techniques. Step-by-step programming provides an understanding of advanced approaches such as stochastic frontier analysis and stochastic data envelopment analysis. The text is intended for master students interested in empirical production and efficiency analysis. Readers are assumed to have a general background in production economics and econometrics, typically taught in introductory microeconomics and econometrics courses.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
3319205013
ISBN 13 
9783319205014
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
240
Kontakt zum Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Deutschland