Harmenberg-Aggregation
Harmenberg method for aggregating heterogeneous-agent models with permanent income shocks.
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Authors
Abstract
Demonstrates that the Harmenberg method speeds up calculations by as much as a factor of 100.
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Install miniconda on your computer
- Open a Terminal (MacOS) or the Anaconda Prompt (Windows)
- At a command line, change the working directory to the one where you want to install
- On MacOS/unix, if you install in the
/tmp
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- On MacOS/unix, if you install in the
git clone https://github.com/econ-ark/DemARK --recursive
cd DemARK
conda env create -f ./binder/environment.yml --prefix ./condaenv
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./condaenv
inside your clone of the repo, containing dependencies. conda run --prefix ./condaenv pip install jupyterlab
conda run --prefix ./condaenv jupyter-lab
Metadata
Key | Value |
---|---|
abstract | Demonstrates that the Harmenberg method speeds up calculations by as much as a factor of 100. |
authors | {"family-names"=>"Carroll", "given-names"=>"Christopher D.", "orcid"=>"https://orcid.org/0000-0003-3732-9312"} {"family-names"=>"Velásquez-Giraldo", "given-names"=>"Mateo", "orcid"=>"https://orcid.org/0000-0001-7243-6776"} |
date-published-original-paper | 2021-08 |
github_repo_url | https://github.com/econ-ark/DemARK |
identifiers-paper | {"type"=>"url", "value"=>"https://www.sciencedirect.com/science/article/pii/S0165188921001202?via%3Dihub"} {"type"=>"doi", "value"=>"https://doi.org/10.1016/j.jedc.2021.104185"} |
name | Harmenberg-Aggregation |
notebooks | notebooks/Harmenberg-Aggregation.ipynb |
tags | DemARK Demonstration Tutorial Teaching Notebook |
title-original-paper | Aggregating heterogeneous-agent models with permanent income shocks |
date |