OGcourse_F17 | Economic Policy Analysis with Overlapping Generations Models

 by   rickecon Jupyter Notebook Version: Current License: No License

kandi X-RAY | OGcourse_F17 Summary

kandi X-RAY | OGcourse_F17 Summary

OGcourse_F17 is a Jupyter Notebook library. OGcourse_F17 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This course will study economic policy questions ideally addressed by the overlapping generations (OG) dynamic general equilibrium framework. OG models represent a rich class of macroeconomic general equilibrium model that is extremely useful for answering questions in which inequality, demographics, and individual heterogeneity are important. OG models are used extensively by the Joint Committee on Taxation, Congressional Budget Office, Department of the Treasury, and Federal Reserve System for policy analysis in the United States as well as in other developed nations. This course will train students how to set up and solve OG models. The standard nonlinear global solution method for these models--time path iteration--is a fixed point method that is similar to but significantly different from value function iteration and policy function iteration. This course will take students through progressively richer versions of the model, which will include endogenous labor supply, nontrivial demographics, bequests, stochastic income, multiple industries, non-balanced government budget constraint, and household tax structure.
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              OGcourse_F17 has a low active ecosystem.
              It has 15 star(s) with 21 fork(s). There are 7 watchers for this library.
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              It had no major release in the last 6 months.
              There are 4 open issues and 1 have been closed. There are no pull requests.
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              The latest version of OGcourse_F17 is current.

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              OGcourse_F17 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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              OGcourse_F17 releases are not available. You will need to build from source code and install.

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