This dataset accompanies the research article titled Democracy and the Market for Culture, which investigates how different dimensions of democratic governance influence international trade in cultural goods. Drawing from UNESCO cultural exports data, World Bank GDP per capita, and the V-Dem Core v15 democracy indicators, the study uses fixed-effects OLS regression to analyze the institutional determinants of cultural export performance across countries from 2004 to 2019. The dataset includes: culture_exports.csv: UNESCO cultural goods export data (USD, by country-year). GDPPC.csv: World Bank GDP per capita data (log-transformed). V-Dem-CY-Core-v15.csv: Country-year democracy indicators from V-Dem v15. Three Colab-ready Python notebooks (v2x_libdem.ipynb, v2x_partipdem.ipynb, v2x_polyarchy.ipynb) with full replication code for each regression model. 🔧 How to Use in Google Colab Open Google Colab:Go to https://colab.research.google.com/ Upload Files to Colab: You can drag the files into the file panel (left sidebar) or use this code to upload: python CopiarEditar from google.colab import files uploaded = files.upload() Install Required Libraries (if needed):Most notebooks use pandas, statsmodels, and matplotlib: python CopiarEditar !pip install pandas statsmodels matplotlib Run a Notebook: Open v2x_libdem.ipynb, v2x_partipdem.ipynb, or v2x_polyarchy.ipynb in Colab. Click "Runtime" > "Run all" or run each cell individually to replicate the regression results. Customize or Extend: You can plug in other democracy or economic indicators from the V-Dem dataset to test additional hypotheses. Modify the regression specification or add visualization outputs using seaborn or plotly. License: Creative Commons Attribution 4.0 (CC BY 4.0) Citation:Anon Annotator. (2025). Democracy and the Market for Culture: Institutional Determinants of Cultural Goods Exports [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.16417376