000 | 03500nam a22002897a 4500 | ||
---|---|---|---|
003 | OSt | ||
005 | 20231128124845.0 | ||
008 | 231128b |||||||| |||| 00| 0 eng d | ||
020 | _a9781107029514 (hardback) | ||
020 | _a9781107609464 (paperback) | ||
040 | _cCUS | ||
082 | 0 | 0 |
_a338.50285555 _223 _bKUM/S |
100 | 1 |
_aKumbhakar, Subal. _923524 |
|
245 | 1 | 2 | _aA practitioner's guide to stochastic frontier analysis using Stata |
264 | 1 |
_aNew York, NY : _bCambridge University Press, _c2015. |
|
300 |
_axiv, 359 pages ; _c26 cm |
||
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"-- _cProvided by publisher. |
||
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"-- _cProvided by publisher. |
||
650 | 0 |
_aProduction (Economic theory) _xEconometric models. _924391 |
|
650 | 0 |
_aStochastic analysis. _924392 |
|
650 | 0 | _aEconometrics. | |
650 | 7 |
_aBUSINESS & ECONOMICS / Econometrics. _2bisacsh _924393 |
|
700 |
_aWang,Hung-Jen _924394 |
||
700 |
_a Horncastle, Alan _924395 |
||
942 |
_2ddc _cWB16 |
||
999 |
_c214073 _d214073 |