nkpc_estimation
Final Project for 'Effective programming practices for economists' (University of Bonn, winter term 22/23)
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Scientific vocabulary similarity
Low similarity (11.2%) to scientific vocabulary
Repository
Final Project for 'Effective programming practices for economists' (University of Bonn, winter term 22/23)
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
The New Keynesian Phillips Curve: An Empirical Assessment
Repository Information
This is the repository to the final project for the course Effective programming practices for economists by Sven Eis. It contains all necessary scripts to reproduce the dependencies of the paper, and to compile the paper itself.
Usage
Environment
To reproduce this repository you need to install the required packages with the package manager conda (Installation). Once installed, open a shell and execute the following:
console
$ cd /to/project/root
$ conda env create -f environment.yml
$ conda activate nkpc_estimation
pytask
Once the environment is installed and activated, build the project by executing
console
$ pytask
The pytask command executes all necessary
scripts.
Results
After running pytask, a new folder named bld is created with all the files.
Credits
This project was created with cookiecutter and the econ-project-templates.
Owner
- Name: Sven Eis
- Login: SvenEis
- Kind: user
- Twitter: sven_eis
- Repositories: 2
- Profile: https://github.com/SvenEis
Econ Student @ Uni Bonn
Citation (CITATION)
@Unpublished{nkpc_estimation2023,
Title = {The New Keynesian Phillips Curve: An Empirical Assessment},
Author = {Sven Eis},
Year = {2023},
Url = {https://github.com/SvenEis/nkpc_estimation}
}
GitHub Events
Total
- Push event: 11
Last Year
- Push event: 11
Dependencies
- actions/checkout v3 composite
- codecov/codecov-action v3 composite
- mamba-org/provision-with-micromamba main composite
- conda-lock
- ipykernel
- jupyterlab
- pandas
- pdbpp
- pip >=21.1
- plotly >=5.13.0
- pre-commit
- pytask >=0.2
- pytask-latex
- pytask-parallel
- pytest
- pytest-cov
- pytest-xdist
- python 3.11.*
- python-graphviz
- pyyaml
- setuptools_scm
- statsmodels
- toml