POLS W4291: Advanced Topics In Quantitative Research: Limited and
Qualitative Dependent Variables
Prof. Gregory Wawro
Columbia University
Description
This course covers methods for models that have dependent variables
that are not continuous. These models include dichotomous and
polychotomous response models, models for censored and truncated data,
sample selection models, duration models, and models for count data.
Additional information
Consult the syllabus for detailed
description of course requirements, readings, schedule, and contact
information.
R Links
- The R Project for Statistical Computing
- Web site for Fox's An R and S-PLUS Companion to Applied Regression (code, data, etc. used in the book)
- Summary of R Commands by Category
- Resources to help you learn and use R from UCLA's Academic Technology Services (highly recommended)
- Bret Larget's R Help
- A Brief Guide to R for Beginners in Econometrics by Mahmood Arai
- Using R for Data Analysis and Graphics: An Introduction by J.H. Maindonald
- Kickstarting R by Jim Lemon
- simpleR: Using R for Introductory Statistics by John Verzani
- Some translations of Stata commands into R commands
- tseries: R
package for time series analysis and computational finance
- quadprog: R
package containing routines and documentation for solving quadratic programming problems (required by tseries)
Emacs Links
- GNU Emacs
- ESS : Emacs Speaks Statistics
Papers/Books
- Discrete Choice Methods with Simulation by Kenneth Train