Cargando…
Production and efficiency analysis with R
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...
Autor principal: | |
---|---|
Lenguaje: | eng |
Publicado: |
Springer
2015
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-20502-1 http://cds.cern.ch/record/2128116 |
_version_ | 1780949698126807040 |
---|---|
author | Behr, Andreas |
author_facet | Behr, Andreas |
author_sort | Behr, Andreas |
collection | CERN |
description | 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. |
id | cern-2128116 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
publisher | Springer |
record_format | invenio |
spelling | cern-21281162021-04-21T19:49:07Zdoi:10.1007/978-3-319-20502-1http://cds.cern.ch/record/2128116engBehr, AndreasProduction and efficiency analysis with RMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:21281162015 |
spellingShingle | Mathematical Physics and Mathematics Behr, Andreas Production and efficiency analysis with R |
title | Production and efficiency analysis with R |
title_full | Production and efficiency analysis with R |
title_fullStr | Production and efficiency analysis with R |
title_full_unstemmed | Production and efficiency analysis with R |
title_short | Production and efficiency analysis with R |
title_sort | production and efficiency analysis with r |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-20502-1 http://cds.cern.ch/record/2128116 |
work_keys_str_mv | AT behrandreas productionandefficiencyanalysiswithr |