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Predicting bankruptcy of local government: A machine learning approach

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Cited by:

  1. Paglialunga, Elena & Resce, Giuliano & Zanoni, Angela, 2025. "Predicting Regional Unemployment in the EU," Economics & Statistics Discussion Papers esdp25101, University of Molise, Department of Economics.
  2. Zin Mar Oo & Ching‐Yang Lin & Makoto Kakinaka, 2025. "Deciphering Long‐Term Economic Growth: An Exploration With Leading Machine Learning Techniques," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(4), pages 1531-1562, July.
  3. Michaela Staňková, 2025. "Artificial Factors Within the Logit Bankruptcy Model with a Moved Threshold," Computational Economics, Springer;Society for Computational Economics, vol. 66(2), pages 1107-1135, August.
  4. Casabianca, Elizabeth Jane & Catalano, Michele & Forni, Lorenzo & Giarda, Elena & Passeri, Simone, 2022. "A machine learning approach to rank the determinants of banking crises over time and across countries," Journal of International Money and Finance, Elsevier, vol. 129(C).
  5. Matilde Cappelletti & Leonardo M. Giuffrida, 2024. "Targeted Bidders in Government Tenders," CESifo Working Paper Series 11142, CESifo.
  6. Resce, Giuliano & Vaquero-Piñeiro, Cristina, 2022. "Predicting agri-food quality across space: A Machine Learning model for the acknowledgment of Geographical Indications," Food Policy, Elsevier, vol. 112(C).
  7. Fiorelli, Cristiana & Pontarollo, Nicola & Serpieri, Carolina, 2025. "Local financial distress and fiscal regimes: Evidence from Italy," The Journal of Economic Asymmetries, Elsevier, vol. 31(C).
  8. Di Stefano, Roberta & Resce, Giuliano, 2025. "The determinants of missed funding: Predicting the paradox of increased need and reduced allocation," Journal of Economic Behavior & Organization, Elsevier, vol. 231(C).
  9. Coco, Giuseppe & Monturano, Gianluca & Resce, Giuliano, 2025. "Predicting Delays in Cohesion Infrastructure Projects," Economics & Statistics Discussion Papers esdp25099, University of Molise, Department of Economics.
  10. Delogu, Marco & Lagravinese, Raffaele & Paolini, Dimitri & Resce, Giuliano, 2024. "Predicting dropout from higher education: Evidence from Italy," Economic Modelling, Elsevier, vol. 130(C).
  11. Caravaggio, Nicola & Resce, Giuliano & Idola Francesca, Spanò, 2024. "Is Local Taxation Predictable? A Machine Learning Approach," Economics & Statistics Discussion Papers esdp24098, University of Molise, Department of Economics.
  12. Augusto Cerqua & Marco Letta & Gabriele Pinto, 2024. "On the (Mis)Use of Machine Learning with Panel Data," Papers 2411.09218, arXiv.org, revised May 2025.
  13. Resce, Giuliano & Vaquero-Piñeiro, Cristina, 2023. "Taste of home: Birth town bias in Geographical Indications," Economics & Statistics Discussion Papers esdp23089, University of Molise, Department of Economics.
  14. Resce, Giuliano, 2022. "The impact of political and non-political officials on the financial management of local governments," Journal of Policy Modeling, Elsevier, vol. 44(5), pages 943-962.
  15. Monturano, Gianluca & Resce, Giuliano & Ventura, Marco, 2022. "Place-Based Policies and the location of economic activity: evidence from the Italian Strategy for Inner areas," Economics & Statistics Discussion Papers esdp22087, University of Molise, Department of Economics.
  16. Caravaggio, Nicola & Resce, Giuliano & Vaquero-Piñeiro, Cristina, 2025. "Predicting policy funding allocation with Machine Learning," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
  17. Zhao, Xian & Huang, Chuangxia & Yang, Xiaoguang & Cao, Jie & Yang, Xin, 2025. "Can we better predict financial crisis? The role of Laplacian-energy-like measure," International Review of Economics & Finance, Elsevier, vol. 103(C).
  18. Resce, Giuliano & Vaquero-Piñeiro, Cristina, 2024. "Political favouritism and inefficient management: Policy-makers’ birth town bias in EU quality certifications," Journal of Policy Modeling, Elsevier, vol. 46(3), pages 683-702.
  19. Caravaggio, Nicola & Resce, Giuliano, 2023. "Enhancing Healthcare Cost Forecasting: A Machine Learning Model for Resource Allocation in Heterogeneous Regions," Economics & Statistics Discussion Papers esdp23090, University of Molise, Department of Economics.
  20. Ambrois, Matteo & Butticè, Vincenzo & Caviggioli, Federico & Cerulli, Giovanni & Croce, Annalisa & De Marco, Antonio & Giordano, Andrea & Resce, Giuliano & Toschi, Laura & Ughetto, Elisa & Zinilli, An, 2023. "Using machine learning to map the European cleantech sector," EIF Working Paper Series 2023/91, European Investment Fund (EIF).
  21. Herrera, Gabriel Paes & Constantino, Michel & Su, Jen-Je & Naranpanawa, Athula, 2023. "The use of ICTs and income distribution in Brazil: A machine learning explanation using SHAP values," Telecommunications Policy, Elsevier, vol. 47(8).
  22. Massimo Bordignon & Davide Cipullo & Gilberto Turati, 2025. "Strategic Bankruptcies. Do Smart Politicians Do It Better?," CESifo Working Paper Series 11930, CESifo.
  23. de Blasio, Guido & D'Ignazio, Alessio & Letta, Marco, 2022. "Gotham city. Predicting ‘corrupted’ municipalities with machine learning," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  24. Resce, Giuliano, 2022. "Political and Non-Political Officials in Local Government," Economics & Statistics Discussion Papers esdp22079, University of Molise, Department of Economics.
  25. Caravaggio, Nicola & Resce, Giuliano & Santangelo, Agapito Emanuele, 2025. "EU Cohesion Policy and Digital Public Services," Economics & Statistics Discussion Papers esdp25100, University of Molise, Department of Economics.
  26. Mustafa, Andy Ali & Lin, Ching-Yang & Kakinaka, Makoto, 2022. "Detecting market pattern changes: A machine learning approach," Finance Research Letters, Elsevier, vol. 47(PA).
  27. Vincenzo Carrieri & Raffele Lagravinese & Giuliano Resce, 2021. "Predicting vaccine hesitancy from area‐level indicators: A machine learning approach," Health Economics, John Wiley & Sons, Ltd., vol. 30(12), pages 3248-3256, December.
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