Discrete Choice in LIMDEP
LIMDEP provides a wide range of estimators for discrete choice modeling including many specifications of binary choice models, multinomial choice, ordered choice and the widest selection of models for count data in any package.
Binary Choice
- Probit and logit models
- Bivariate probit models
- Multivariate probit model
- Partial observability
- Sample selection
Multinomial (Logit) Choice Models
- Random effects and random ultility models
- Random regret
- Latent class models
Ordered Choice Models
- Bivariate ordered choice models
- Sample selection models
- Generalized ordered probit and logit models
- Specifications for hierarchical models
- Zero inflated ordered choice
Count Data Models
- Specifications for censoring, truncation, and underreporting
- Zero inflation and negative binomial (NB1, NB2, NBP, NBX)
- Generalized Poisson
- Gamma model
- Quantile Poisson regression
Panel Data Models
- Fixed effects for all models
- Random effects for all models, quadrature and simulation estimators
- Random parameters models
- Latent class specifications
Tools
- Specification analysis
- Heteroscedasticity
- Robust inference tools
- Lagrange multiplier, likelihood and Wald tests
- Model simulator for binary choice models
- Matching and propensity score analysis
- Average partial effects
- Partial effects for interactions
- Model simulation and prediction
Statistics
- Numerous fit measures
- Test statistics for specifications
- Partial effects for all models
- Interaction terms in model specification