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...

Full description

Bibliographic Details
Main Author: Behr, Andreas (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Subjects:
Online Access:Full Text via HEAL-Link
LEADER 02803nam a22005415i 4500
001 978-3-319-20502-1
003 DE-He213
005 20160109134745.0
007 cr nn 008mamaa
008 160109s2015 gw | s |||| 0|eng d
020 |a 9783319205021  |9 978-3-319-20502-1 
024 7 |a 10.1007/978-3-319-20502-1  |2 doi 
040 |d GrThAP 
050 4 |a QA276-280 
072 7 |a PBT  |2 bicssc 
072 7 |a K  |2 bicssc 
072 7 |a BUS061000  |2 bisacsh 
082 0 4 |a 330.015195  |2 23 
100 1 |a Behr, Andreas.  |e author. 
245 1 0 |a Production and Efficiency Analysis with R  |h [electronic resource] /  |c by Andreas Behr. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a X, 227 p. 49 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Introduction -- Linear Production Model -- Production Functions -- Production Functions with Panel Data -- Introduction to Linear Programming -- Data Envelopment Analysis -- Stochastic Data Envelopment Analysis -- Stochastic Frontier Analysis -- Panel Data Stochastic Frontier Analysis. 
520 |a 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. 
650 0 |a Statistics. 
650 0 |a Production management. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Industrial engineering. 
650 0 |a Production engineering. 
650 0 |a Econometrics. 
650 1 4 |a Statistics. 
650 2 4 |a Statistics for Business/Economics/Mathematical Finance/Insurance. 
650 2 4 |a Operations Management. 
650 2 4 |a Industrial and Production Engineering. 
650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Econometrics. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319205014 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-20502-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)