https://github.com/jabbring/dynamic-discrete-choice
Matlab package for learning to specify, compute, and estimate dynamic discrete choice models
https://github.com/jabbring/dynamic-discrete-choice
ddc dynamic-discrete-choice estimation exercises firm-dynamics matlab maximum-likelihood mpec nested-fixed-point-method nfxp
Last synced: 8 months ago
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Matlab package for learning to specify, compute, and estimate dynamic discrete choice models
- Host: GitHub
- URL: https://github.com/jabbring/dynamic-discrete-choice
- Owner: jabbring
- License: mit
- Created: 2018-10-29T14:19:29.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-11-22T11:00:52.000Z (over 2 years ago)
- Last Synced: 2025-06-25T01:01:54.816Z (11 months ago)
- Topics: ddc, dynamic-discrete-choice, estimation, exercises, firm-dynamics, matlab, maximum-likelihood, mpec, nested-fixed-point-method, nfxp
- Language: MATLAB
- Homepage:
- Size: 262 KB
- Stars: 49
- Watchers: 0
- Forks: 39
- Open Issues: 2
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Dynamic Discrete Choice Models: Methods, Matlab Code, and Exercises
## Jaap H. Abbring and Tobias J. Klein
Matlab package for teaching and learning the econometrics of dynamic discrete choice models.
- See http://ddc.abbring.org for extensive documentation and exercises.
- Run the main Matlab script `dynamicDiscreteChoice.m` for an example of the estimation of a dynamic discrete choice model.
We welcome the use of this software under an [MIT license](https://github.com/jabbring/dynamic-discrete-choice/blob/master/LICENSE).
© 2020 Jaap H. Abbring and Tobias J. Klein
[](https://doi.org/10.5281/zenodo.4287733)