William Greene Stern School of Business New York University. Stochastic Frontier Models. 0 Introduction 1 Efficiency Measurement 2 Frontier Functions 3 Stochastic Frontiers 4 Production and Cost 5 Heterogeneity 6 Model Extensions 7 Panel Data 8 Applications.
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1 Efficiency Measurement: Some history thought. Intellectual foundations
2 Frontier Functions: The frontier idea. Regressions with negative residuals
3Stochastic Frontiers: Finding inefficiency. A formal model. Testing for inefficiency.
Estimating technical (in)efficiency. Semiparametric modeling. Nonparametric model.
Data Envelopment Analysis
4Production and Cost: Production and cost duality. Cost functions.
Allocative inefficiency. The Greene problem.
5Heterogeneity: Environmental factors. Partials. Two step estimation. Latent classes.
Heteroscedasticity and scaling. Sample selection.
6Model Extensions: Functional forms and distributions. Discrete outcomes.
7Panel Data. Fixed and random effects. True FE and RE models.
Modeling heterogeneity. Distance function. TFP growth and DEA
8Applications: Summary and closing remarks.