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The econometric approach to efficiency analysis

Greene, William H. - In: The measurement of productive efficiency and …, (pp. 92 - 250). 2008

Persistent link: https://www.econbiz.de/10014561081

A stochastic frontier model with correction for sample selection

Greene, William H. - 2008

Persistent link: https://www.econbiz.de/10009505105

A stochastic frontier model with correction for sample selection

Greene, William H. - In: Journal of productivity analysis 34 (2010) 1, pp. 15-24

Persistent link: https://www.econbiz.de/10009248509

Persistent and transient productive inefficiency : a maximum simulated likelihood approach

Filippini, Massimo; Greene, William H. - 2014

Persistent link: https://www.econbiz.de/10010359342

Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models

Wheat, Phill; Greene, William H.; Smith, Andrew S. J. - In: Journal of productivity analysis 42 (2014) 1, pp. 55-65

Persistent link: https://www.econbiz.de/10010429277

Efficiency measurement in network industries : application to the Swiss railway companies

Farsi, Mehdi; Filippini, Massimo; Greene, William H. - In: Journal of regulatory economics 28 (2005) 1, pp. 69-90

Persistent link: https://www.econbiz.de/10003095204

Fixed and random effects in stochastic frontier models

Greene, William H. - In: Journal of productivity analysis 23 (2005) 1, pp. 7-32

Persistent link: https://www.econbiz.de/10002626358

Application of panel data models in benchmarking analysis of the electricity distribution sector

Farsi, Mehdi; Filippini, Massimo; Greene, William H. - In: Annals of public and cooperative economics 77 (2006) 3, pp. 271-290

Persistent link: https://www.econbiz.de/10003369931

Profitability and efficiency in the U.S. life insurance industry

Greene, William H.; Segal, Dan - In: Journal of productivity analysis 21 (2004) 3, pp. 229-247

Persistent link: https://www.econbiz.de/10002064581

A Stochastic Frontier Model with Correction for Sample Selection

Greene, William H. - 2008

Heckman's (1979) sample selection model has been employed in three decades of applications of linear regression studies. The formal extension of the method to nonlinear models, however, is of more recent vintage. A generic solution for nonlinear models is proposed in Terza (1998). We have...

Persistent link: https://www.econbiz.de/10012724591