000			01960nam a2200253Ia 4500
999			_c1475 _d1475
003			DE-boiza
005			20200102123903.0
008			191008
020			_a978-1-10-760946-4
040			_cIZA
100			_aKumbhakar, Subal C. _94111
100			_aWang, Hung-Jen _96012
100			_aHorncastle, Alan P. _96013
245		2	_aA Practitioner's Guide to Stochastic Frontier Analysis Using Stata
260			_c2015, _bCambridge University Press, _aCambridge et al.,
300			_a374 pages
340			_hC5 137
520			_aA 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.
650			_aStata _9958
650			_a Stochastic Frontier Analysis _96014
650			_astatistical methods _95273
856			_uhttps://www.cambridge.org/core/books/practitioners-guide-to-stochastic-frontier-analysis-using-stata/F47EFD99CC63BE3918A0FB3E4717C800#fndtn-information _yPublisher's website
942			_cBO _2ddc