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Stochastic Frontier Models

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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Stochastic Frontier Models

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  1. 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

  2. Stochastic Frontier Modeling and Efficiency Estimation • Theoretical Foundations • Econometric Methodology • Model Building, Econometric Methods • Applications

  3. 0 Introduction 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. Bayesian analysis. 7Panel Data. Fixed and random effects. True FE and RE models. Modeling heterogeneity. Distance function. TFP growth and DEA 8Applications: Summary and closing remarks.

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