liqconstr
Science Score: 54.0%
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✓codemeta.json file
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Low similarity (6.7%) to scientific vocabulary
Last synced: 9 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: llorracc
- License: apache-2.0
- Language: TeX
- Default Branch: master
- Size: 25 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 6
- Open Issues: 2
- Releases: 0
Created over 7 years ago
· Last pushed about 2 years ago
Metadata Files
Readme
License
Citation
README.md
Liquidity Constraints and Precautionary Saving
The LiqConstr directory contains code to reproduce the figures of the paper Liquidity Constraints and Precautionary Saving by Carroll, Holm, and Kimball, 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: 
Locally by running an ipython program on your computer:
- Install the necessary tools on your computer
- Download this repository using
git clone https://github.com/econ-ark/LiqConstror a zip folder using this link. - Change to the
LiqConstrdirectory and executeipython LiqConstr.pyfrom the command line.
In a local interactive jupyter notebook
- Install the jupyter notebook tool per Installation.md
- Download this repository using
git clone https://github.com/econ-ark/LiqConstror a zip folder using this link. - Type
jupyter labat the command line - Click on
LiqConstr.ipynb
Reproduce the figures and compile the paper locally using nbreproduce
- Install nbreproduce
- Download this repository using
git clone https://github.com/econ-ark/LiqConstror a zip folder using this link. - Execute
nbreproducefrom the command line.
Paper
The paper can be generated by compiling the LaTeX file LiqConstr.tex using a standard
distribution of LaTeX like TeXLive or Overleaf.
Owner
- Name: Christopher Llorracc Carroll
- Login: llorracc
- Kind: user
- Repositories: 16
- Profile: https://github.com/llorracc
Citation (CITATION.cff)
cff-version: "1.2.0"
message: "This paper shows that liquidity constraints and precautionary saving are closely related to each other, since both can be thought of is \"counterclockwise concavifications\" of the consumption function.; all results are paired with illustrative numerical solutions."
authors:
- family-names: "Carroll"
given-names: "Christopher D."
orcid: "https://orcid.org/0000-0003-3732-9312"
- family-names: "Kimball"
given-names: "Miles S."
- family-names: "Holm"
given-names: "Martin B."
title: "Liquidity Constraints and Precautionary Saving"
abstract: "We provide the analytical explanation of strong interactions between precautionary sav- ing and liquidity constraints that are regularly observed in numerical solutions to consump- tion/saving models. The effects of constraints and of uncertainty spring from the same cause: concavification of the consumption function, which can be induced either by constraints or by uncertainty. Concavification propagates back to consumption functions in prior periods. But, surprisingly, once a linear consumption function has been concavified by the presence of either risks or constraints, the introduction of additional concavifiers in a given period can reduce the precautionary motive in earlier periods at some levels of wealth."
date-released: 2020-09-14
references:
- type: article
authors:
- family-names: "Carroll"
given-names: "Christopher D."
orcid: "https://orcid.org/0000-0003-3732-9312"
- family-names: "Kimball"
given-names: "Miles S."
- family-names: "Holm"
given-names: "Martin B."
title: "Liquidity Constraints and Precautionary Savings"
doi: "10.1016/j.jet.2021.105276"
date-released: 2021-07-01
publisher:
name: "Journal of Economic Theory"
repository-code: https://github.com/econ-ark/LiqConstr
keywords: # optional
- liquidity constraints
- uncertainty
- precautionary saving
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Dependencies
binder/requirements.txt
pypi
- econ-ark ==0.10.7
- ipywidgets ==7.5.1
- matplotlib ==3.3.2
- numpy ==1.19.2
- voila ==0.2.2
reproduce/Dockerfile
docker
- $BASE_CONTAINER latest build
binder/environment.yml
conda
- pip
- python 3.7.*