A python package for estimating conditional logit models.

Context-sensitive ranking and choice in Python with PyTorch

A Python package for GPU-accelerated estimation of mixed logit models.

Fully JAX-compatible python implementation of the DC-EGM algorithm from Iskhakov, Jorgensen, Rust, and Schjerning (QE, 2017).

The Discrete Mode Choice extension for MATSim makes it easy to define fine-grained and custom mode choice behaviour in MATSim simulations.

A command for fitting (Discrete Choice) Random Regret Minimization models using Stata

Fortran+OpenMP implementation of the canonical sovereign default model with long-term debt. Solved with discrete choice methods.

Python Choice Modelling on Tensor (PyCMTensor). A flexible Neural Embedded Discrete Choice Modelling (NEDCM) Python package

An R package with tools for designing choice based conjoint (cbc) survey experiments and conducting power analyses

Discrete choice modeling and estimation in Julia.

Unifying interface for discrete choice modelling

A companion package for the book Discrete Choice Analysis with R doi:10.1007/978-3-031-20719-8

This is for Econometrics and other Economics related materials

This repository stores the source code of a Python implementation of MDMs.

In this repository, a GAMS code is provided to estimate parameters of the logit model. We provide a code and sample data to solve for binary route choice model for truck drivers.

Bayesian estimation of probit models

Inflated Discrete Choice Models

Orderd logit model based on the Mobility and Transport Microcensus 2015 explaining the number of trips (from home to work for now) in Switzerland.

PhD thesis: optimization and equilibrium problems with discrete choice models

Victor's PhD Thesis "Discrete-Choice Mining of Social Processes"