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  • Ash, E., Galletta, S., & Giommoni, T. (2025). Data and Code for: “A Machine Learning Approach to Analyze and Support Anti-Corruption Policy” [Data set]. ICPSR - Interuniversity Consortium for Political and Social Research. https://doi.org/10.3886/e197821
  • Open Access
    Gáspár, A., Giommoni, T., Morelli, M., & Nicolò, A. (2025). Corruption and Extremism. Journal of Development Economics, 177, Article 103526. https://doi.org/10.1016/j.jdeveco.2025.103526
  • Open Access
    Ash, E., Galletta, S., & Giommoni, T. (2025). A Machine Learning Approach to Analyze and Support Anticorruption Policy. American Economic Journal. Economic Policy, 17(2), 162-193. https://doi.org/10.1257/pol.20210618
  • Open Access
    Daniele, G., & Giommoni, T. (2025). Fiscal Rules, Corruption, and Electoral Accountability. The Journal of Politics, 87(3), 857-871. https://doi.org/10.1086/732957
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