Stochastic Frontier Models

Slides:

Advertisements

Similar presentations

Efficiency and Productivity Measurement: Bootstrapping DEA Scores

Advertisements

Econometric Analysis of Panel Data Panel Data Analysis – Random Effects Assumptions GLS Estimator Panel-Robust Variance-Covariance Matrix ML Estimator.

[Part 5] 1/53 Stochastic FrontierModels Heterogeneity Stochastic Frontier Models William Greene Stern School of Business New York University 0Introduction.

[Part 4] 1/25 Stochastic FrontierModels Production and Cost Stochastic Frontier Models William Greene Stern School of Business New York University 0Introduction.

[Part 1] 1/15 Discrete Choice Modeling Econometric Methodology Discrete Choice Modeling William Greene Stern School of Business New York University 0Introduction.

Searching for the Robust Method to Estimate Total Factor Productivity at Firm Level Yin Heng Li Shigang Liu Di SEBA Beijing Normal University

[Part 3] 1/49 Stochastic FrontierModels Stochastic Frontier Model Stochastic Frontier Models William Greene Stern School of Business New York University.

Topics in Microeconometrics Professor William Greene Stern School of Business, New York University at Curtin Business School Curtin University Perth July.

Microeconometric Modeling

Discrete Choice Modeling William Greene Stern School of Business New York University Lab Sessions.

The Paradigm of Econometrics Based on Greene’s Note 1.

[Part 8] 1/27 Stochastic FrontierModels Applications Stochastic Frontier Models William Greene Stern School of Business New York University 0Introduction.

James Cordeiro, State University of New York (Brockport), USA Joseph Sarkis, Clark University, USA Diego Vazquez & Jeroen Dijkshoorn, BRASS Center, Cardiff.

Part 1: Introduction 1-1/22 Econometrics I Professor William Greene Stern School of Business Department of Economics.

[Part 7] 1/68 Stochastic FrontierModels Panel Data Stochastic Frontier Models William Greene Stern School of Business New York University 0Introduction.

Discrete Choice Modeling William Greene Stern School of Business New York University.

[Part 15] 1/24 Discrete Choice Modeling Aggregate Share Data - BLP Discrete Choice Modeling William Greene Stern School of Business New York University.

Efficiency Measurement William Greene Stern School of Business New York University.

Discrete Choice Modeling William Greene Stern School of Business New York University.

Efficiency of Public Spending in Developing Countries: A Stochastic Frontier Approach William Greene Stern School of Business World Bank, May 23, 2005.

Efficiency Measurement William Greene Stern School of Business New York University.

EFFICIENCY OF BIODYNAMIC FARMS Marie Pechrová Czech University of Life Sciences Prague, Faculty of Economics and Management September 17-18, 2013.

Part 0 -- Introduction Statistical Inference and Regression Analysis: Stat-GB , C Professor William Greene Stern School of Business IOMS.

Efficiency Measurement William Greene Stern School of Business New York University.

Efficiency Measurement William Greene Stern School of Business New York University.

Economic crisis and Total Factor Productivity Growth in Hungarian Agri-Food Economy József Fogarasi 1, 2 Anna Zubor-Nemesa 1, 3, Orsolya Tótha 1 1 Research.

Efficiency Measurement William Greene Stern School of Business New York University.

Discrete Choice Modeling William Greene Stern School of Business New York University.

Frontier Models and Efficiency Measurement Lab Session 4: Panel Data William Greene Stern School of Business New York University 0Introduction 1Efficiency.

Frontier Models and Efficiency Measurement Lab Session 2: Stochastic Frontier William Greene Stern School of Business New York University 0Introduction.

Discrete Choice Modeling William Greene Stern School of Business New York University.

Econometrics in Health Economics Discrete Choice Modeling and Frontier Modeling and Efficiency Estimation Professor William Greene Stern School of Business.

Efficiency Measurement William Greene Stern School of Business New York University.

Efficiency Measurement William Greene Stern School of Business New York University.

[Part 1] 1/18 Stochastic FrontierModels Efficiency Measurement Stochastic Frontier Models William Greene Stern School of Business New York University 0Introduction.

1/70. 2/70 Mundlak, Y., Empirical production function free of management bias. Journal of Farm Economics 43, (Wrote about (omitted) fixed.

Operational Conditions in Regulatory Benchmarking – A Monte-Carlo Simulation Stefan Seifert & Maria Nieswand Workshop: Benchmarking of Public Utilities.

Stochastic Frontier Models

Panel Data Analysis Using GAUSS 3 Kuan-Pin Lin Portland State University.

[Part 5] 1/43 Discrete Choice Modeling Ordered Choice Models Discrete Choice Modeling William Greene Stern School of Business New York University 0Introduction.

1/61: Topic 1.2 – Extensions of the Linear Regression Model Microeconometric Modeling William Greene Stern School of Business New York University New York.

Discrete Choice Modeling William Greene Stern School of Business New York University April 26-27, 2012 Georgetown University, Washington, DC.

Efficiency Measurement William Greene Stern School of Business New York University.

University Rostock, Germany

William Greene Stern School of Business New York University

Microeconometric Modeling

Efficiency Measurement

William Greene Stern School of Business New York University

Discrete Choice Modeling

School of Business, Economics and Law University of Gothenburg

Microeconometric Modeling

Microeconometric Modeling

Efficiency Measurement

Efficiency Measurement

Stochastic Frontier Models

Empirical Models to deal with Unobserved Heterogeneity

Microeconometric Modeling

Efficiency Measurement

Econometric Analysis of Panel Data

Econometrics I Professor William Greene Stern School of Business

Microeconometric Modeling

Microeconometric Modeling

Stochastic Frontier Models

Stochastic Frontier Models

Econometric Analysis of Panel Data

William Greene Stern School of Business New York University

Efficiency Measurement

Econometric Analysis of Panel Data

Microeconometric Modeling

Presentation transcript:

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 William Greene Stern School of Business New York University

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

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