000			03210nam a22002657a 4500
001			sulb0071185
003			BD-SySUS
005			20190619102011.0
008			190619s2015 nyu b 001 0 eng d
020			_a9781107029514 (hardback)
020			_a9781107609464 (paperback)
040			_aDLC _beng _cDLC _erda _dDLC _dBD-SySUS
082	0	0	_a338.5028 _222 _bKUP
100	1		_aKumbhakar, Subal. _930808
245	1	2	_aA practitioner'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.
300			_axiv, 359 pages ; _c26 cm
504			_aIncludes bibliographic references (pages 349-355) and index.
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. _930839
650		0	_aStochastic analysis. _930840
650		0	_aEconometrics. _930841
650		7	_aBUSINESS & ECONOMICS / Econometrics. _2bisacsh _930842
942			_2ddc _cBK
999			_c73821 _d73821