grmpy is an open source Python package for the simulation and estimation of the generalized Roy Model. It serves as a teaching tool to promote the conceptual framework of the generalized Roy model, illustrate a variety of issues in the econometrics of policy evaluation. Moreover it also works as an example for basic software engineering practices and the associated documentation processes.
The main references for the Project are:
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James J. Heckman and Edward J. Vytlacil. Chapter 70 Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation. Handbook of Econometrics, 6, 4779 – 4874, 2007.
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James J. Heckman and Edward J. Vytlacil. Chapter 71 Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New Environments. Handbook of Econometrics, 6, 4875 – 5143, 2007.
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Jaap H. Abbring and James J. Heckman. Chapter 72 Econometric Evaluation of Social Programs, Econometric evaluation of social programs, part III: Distributional treatment effects, dynamic treatment effects, dynamic discrete choice, and general equilibrium policy evaluation. Handbook of Econometrics, 6, 5145 – 5303, 2007.
The package is used as a teaching tool for a course on the analysis human capital at the University of Bonn. The affiliated lecture material is available on GitHub .
For more information regarding…
If you are interested in contributing to the package feel free to check out the issue tracker on GitHub, contact the team or take a look on the road map from the package’s documentation.