Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: NicolasRoever
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 1.92 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 7 months ago · Last pushed 7 months ago
Metadata Files
Readme Changelog License Citation

README.md

Templates for Reproducible Research Projects in Economics

Add Path

bash export PYTHONPATH=$PYTHONPATH:/Users/nicolasroever/Dropbox/Promotion/LVT/landvaluetax/src

Start Pixi Shell

bash pixi shell

I could solve the numpy import error using pixi add python=3.11 pixi install

Next Steps

  • Make the current event study super clean (i.e. check the merging, plot changes in the rates, etc.).
  • The code should be superb!!!
  • Think about the story - I am interested in capitalization of LVT rates, but why am I? Does this fit to the model, or should I adapt?
  • I think after having added this basic event study to the paper, you can invest in writing up and publishing again. There is a significant weakness in that you do not have rent data :/ - but you have land data, so that is super great (maybe we should run on this???)

OPen To-Dos

  • There is an issue in reading in municipalities with multiple entries. Here, you only consider the first line, not the average!

MIT license image Documentation Status image image pre-commit.ci status

This project provides a template for economists aimed at facilitating the production of reproducible research using Python. We provide a directory structure, a worked example, and many helpful modern tools. At its core, the computational pipeline uses pytask to ensure reproducibility. While the example focuses on Python, running R, Julia, or Stata is very easy, too. In fact, until version 0.9, the template included its worked example in R, too. We dropped it purely for lack of resources to maintain it.

Getting Started

You can find all necessary resources to get started on our documentation.

Contributing

We welcome suggestions on anything from improving the documentation to reporting bugs and requesting new features. Please open an issue in these cases.

If you want to work on a specific feature, we are more than happy to get you started! Please get in touch briefly, this is a small team so there is no need for a detailed formal process.

Contributors

@hmgaudecker @timmens

Former Contributor and Creator of pytask

@tobiasraabe

Former Contributors

@janosg @PKEuS @philippmuller @julienschat @raholler @mj023

Owner

  • Login: NicolasRoever
  • Kind: user

Citation (CITATION)

@Unpublished{DOE2024,
    Title  = "EXAMPLE PROJECT",
    Author = "JANE DOE",
    Year   = "2024",
    Url    = "https://github.com/opensourceeconomics/econ-project-templates",
}

GitHub Events

Total
  • Push event: 2
  • Create event: 1
Last Year
  • Push event: 2
  • Create event: 1

Dependencies

.github/workflows/main.yml actions
  • actions/checkout v4 composite
  • codecov/codecov-action v4 composite
  • prefix-dev/setup-pixi v0.8.1 composite
  • r-lib/actions/setup-tinytex v2 composite
docs_template/scripts/pyproject.toml pypi
pyproject.toml pypi