README.md

In Rchoice: Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters

Rchoice

Rchoice is a package in R for estimating Ordered, Binary and Poisson models with random parameters for cross-sectional and panel data.

What kind of models can be estimated?

• Binary (Logit/Probit), Ordered (Logit/Probit) and Poisson Models with fixed (non-stochastic) parameters.
• Binary (Logit/Probit), Ordered (Logit/Probit) and Poisson models with random coefficients. The distribution of the coefficients can be normal, log-normal, truncated normal, triangular, uniform and Johnson Sb.
• Random Effects model for Panel or longitudinal data.
• Estimate the conditional individual-specific coefficient.
• Binary models with (Logit/Probit) with heteroskedasticity using MLE and compute the marginal effects.
• Probit model with endogenous continuous covariate using MLE and compute marginal effects.

Rchoice documentation built on March 31, 2023, 11:13 p.m.