'William greene' presentation slideshows

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. Lab Sessions. Lab Session 2. Analyzing Binary Choice Data. Data Set: Load PANELPROBIT.LPJ. Fit Basic Models. Partial Effects for Interactions. Partial Effects.

717 views • 66 slides

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. Where to Next?.

759 views • 53 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. Stated Preference and Revealed Preference Data. Revealed and Stated Preference Data. Pure RP Data Market (ex-post, e.g., supermarket scanner data) Individual observations Pure SP Data

554 views • 42 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. Lab Sessions. Lab 1. Getting Started. Locate file dairy.lpj. Locate file Dairy.lpj. Project Window Note: Name Sample Size Variables. Use File:New/OK for an Editing Window.

485 views • 41 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. Part 8. Models for Count Data. Application: Major Derogatory Reports. AmEx Credit Card Holders N = 13,777 Number of major derogatory reports in 1 year Issues: Nonrandom selection Excess zeros.

455 views • 36 slides

Topics in Microeconometrics

William Greene Department of Economics Stern School of Business. Topics in Microeconometrics. Part 2: Endogenous Variables in Linear Regression. Endogeneity. y = X ?+ ? , Definition: E[ ? | x ]?0 Why not? Omitted variables Unobserved heterogeneity (equivalent to omitted variables)

495 views • 33 slides

Frontier Models and Efficiency Measurement Lab Session 2: Stochastic Frontier

William Greene Stern School of Business New York University. Frontier Models and Efficiency Measurement Lab Session 2: Stochastic Frontier. 0 Introduction 1 Efficiency Measurement 2 Frontier Functions 3 Stochastic Frontiers 4 Production and Cost 5 Heterogeneity 6 Model Extensions

491 views • 33 slides

Discrete Choice Modeling

516 views • 29 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. Lab Sessions. Lab Session 4. Bivariate Extensions of the Probit Model. Bivariate Probit Model. Two equation model General usage of LHS = the set of dependent variables

423 views • 26 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. 0 Introduction 1 Methodology 2 Binary Choice 3 Panel Data 4 Bivariate Probit 5 Ordered Choice 6 Count Data 7 Multinomial Choice 8 Nested Logit 9 Heterogeneity 10 Latent Class 11 Mixed Logit

481 views • 26 slides

Efficiency Measurement

William Greene Stern School of Business New York University. Efficiency Measurement. Session 4. Functional Form and Efficiency Measurement. Single Output Stochastic Frontier.

388 views • 25 slides

Discrete Choice Models

401 views • 23 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. Part 8. Stated Preference and Revealed Preference Data. Revealed and Stated Preference Data. Pure RP Data Market (ex-post, e.g., supermarket scanner data) Individual observations Pure SP Data

366 views • 23 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. Lab Sessions. Lab Session 5. Modeling Heterogeneity with Random Parameters and Latent Classes. Random Parameters Model. ? Random parameters specification ?

144 views • 5 slides