000			04090cam a2200385 i 4500
001			18203554
003			OSt
005			20211101115119.0
008			140627s2015 nyu b 001 0 eng
010			_a 2014023789
020			_a9781107609464 (paperback)
040			_aDLC _beng _cIISERB _erda _dDLC
042			_apcc
050	0	0	_aHB241 _b.K847 2015
082	0	0	_a338.5028 K960P _223
084			_aBUS021000 _2bisacsh
100	1		_aKumbhakar, Subal C. _927686
245	1	2	_aPractitioner's guide to stochastic frontier analysis using Stata _cSubal C. Kumbhakar, Binghamton University, NY, Hung-Jen Wang, National Taiwan University, Alan Horncastle, Oxera Consulting LLP, Oxford, UK.
260			_aCambridge: _bCanbridge University Press, _c2015.
300			_axiv, 359 pages ; _c26 cm
504			_aIncludes bibliographic references (pages 349-355) and index.
505	8		_aMachine generated contents note: 1. Introduction; 2. Production, distance, cost, and profit functions; 3. Production frontier models; 4. Cost frontier models; 5. Profit frontier models; 6. Cost system models; 7. Profit system models; 8. Primal cost models; 9. Profit primal models; 10. Panel models; 11. Productivity and profitability; 12. Looking ahead.
520			_a"A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented"--
520			_a"tochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented"--
650		0	_aProduction (Economic theory) _xEconometric models. _927687
650		0	_aStochastic analysis. _927688
650		0	_aEconometrics. _927689
650		7	_aBUSINESS & ECONOMICS / Econometrics. _2bisacsh _927690
700			_aWang, Hung-Jen _927763
700			_aHorncastle, Alan P. _927764
856	4	2	_3Cover image _uhttp://assets.cambridge.org/97811070/29514/cover/9781107029514.jpg
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c9666 _d9666