https://github.com/camriddell/bufferstocktheory

https://github.com/camriddell/bufferstocktheory

Science Score: 10.0%

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  • CITATION.cff file
  • codemeta.json file
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  • Academic publication links
    Links to: zenodo.org
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  • Scientific vocabulary similarity
    Low similarity (7.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: camriddell
  • Language: TeX
  • Default Branch: master
  • Size: 43.5 MB
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  • Stars: 1
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Fork of econ-ark/BufferStockTheory
Created about 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme

README.md

TODO: Fix mhat in figure

Theoretical Foundations of Buffer Stock Theory - REMARK

DOI

The BufferStockTheory directory contains code to reproduce the figures of the paper Theoretical Foundations of Buffer Stock Saving by Christopher Carroll, and the LaTeX source to produce the paper once the figures have been created.

Code

Figures can be produced either:

Live in your browser using MyBinder: Binder

Locally

If you want to reproduce the results locally, you will need python and pip.

In a local interactive jupyter notebook
  1. Install the jupyter notebook tool per Installation.md
  2. Download this repository using git clone https://github.com/econ-ark/BufferStockTheory or a zip folder using this link.
  3. Type jupyter lab at the command line
    • Click on BufferStockTheory-Dashboard.ipynb; or
    • Navigate to Code/Python/BufferStockTheory.ipynb
Reproduce the figures and compile the paper locally using nbreproduce
  1. Install nbreproduce
  2. Download this repository using git clone https://github.com/econ-ark/BufferStockTheory or a zip folder using this link.
  3. Execute nbreproduce from the command line.

Paper

The paper can be generated by compiling the LaTeX file BufferStockTheory.tex using a standard distribution of LaTeX like TeXLive or Overleaf.

Owner

  • Name: Cameron
  • Login: camriddell
  • Kind: user

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