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    Production and Efficiency Analysis with R

Production and Efficiency Analysis with R

Andreas Behr
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      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.
      Format: Paperback / softback CONTRIBUTORS: Andreas Behr EAN: 9783319205014 COUNTRY: Switzerland PAGES: WEIGHT: 3693 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2016-01-18 CITY: GENRE: BUSINESS & ECONOMICS / Econometrics, BUSINESS & ECONOMICS / Operations Research, BUSINESS & ECONOMICS / Statistics, BUSINESS & ECONOMICS / Production & Operations Management, TECHNOLOGY & ENGINEERING / Industrial Engineering WIDTH: 155 cm SPINE:

      Book Themes:

      Economics, Finance, Business and Management, Econometrics and economic statistics, Management decision making, Management of specific areas, Operational research, Probability and statistics, Production and industrial engineering

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      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.
      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.
      Format: Paperback / softback CONTRIBUTORS: Andreas Behr EAN: 9783319205014 COUNTRY: Switzerland PAGES: WEIGHT: 3693 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2016-01-18 CITY: GENRE: BUSINESS & ECONOMICS / Econometrics, BUSINESS & ECONOMICS / Operations Research, BUSINESS & ECONOMICS / Statistics, BUSINESS & ECONOMICS / Production & Operations Management, TECHNOLOGY & ENGINEERING / Industrial Engineering WIDTH: 155 cm SPINE:

      Book Themes:

      Economics, Finance, Business and Management, Econometrics and economic statistics, Management decision making, Management of specific areas, Operational research, Probability and statistics, Production and industrial engineering

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      Be the first to write a review
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      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.

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