Overview
- Elaborates on theoretical and empirical production and efficiency analysis
- Applies methods to sample data sets using the statistical software R
- Helps to understand the methods by employing small simulations and step-by-step programming
- Features exercises and recommended further reading for each chapter
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Table of contents (9 chapters)
Keywords
About this book
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.
Authors and Affiliations
About the author
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.
Bibliographic Information
Book Title: Production and Efficiency Analysis with R
Authors: Andreas Behr
DOI: https://doi.org/10.1007/978-3-319-20502-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-20501-4Published: 18 January 2016
eBook ISBN: 978-3-319-20502-1Published: 09 January 2016
Edition Number: 1
Number of Pages: X, 227
Number of Illustrations: 49 illustrations in colour
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Operations Management, Industrial and Production Engineering, Operations Research/Decision Theory, Econometrics
Industry Sectors: Biotechnology, Finance, Business & Banking