1 / 1

Mastering Sample Selection Models: Techniques and Applications

Explore methods in sample selection models, bivariate normal variables, Heckit technique, ML estimation, and more using Mroz's labor supply example. Learn correct S.E. calculation and deriving the AIDS model in this comprehensive guide.

nerita
Download Presentation

Mastering Sample Selection Models: Techniques and Applications

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. AAE637 Topics for April 22, 2008 • Introduction to Sample Selection Models • Char. of Bivariate Normal Variables • Moments of an “Incidentally Truncated” Normal Random Variable • Conditional Values and Marginal Effects • Two-Step Estimation (Heckit)Technique • Correct S.E. Calculation in 2nd Step • Mroz’s Example of Labor Supply • 2-Step Approach • ML Estimation of the Sample Selection Model • Look at 1stPPT file on deriving the AIDS

More Related