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RegBR: A novel Brazilian government framework to classify and analyze industry-specific regulations

Author

Listed:
  • Letícia Moreira Valle
  • Stefano Giacomazzi Dantas
  • Daniel Guerreiro e Silva
  • Ugo Silva Dias
  • Leonardo Monteiro Monasterio

Abstract

Government transparency and openness are key factors to bring forth the modernization of the state. The combination of transparency and digital information has given rise to the concept of Open Government, that increases citizen understanding and monitoring of government actions, which in turn improves the quality of public services and of the government decision making process. With the goal of improving legislative transparency and the understanding of the Brazilian regulatory process and its characteristics, this paper introduces RegBR, the first national framework to centralize, classify and analyze regulations from the Brazilian government. A centralized database of Brazilian federal legislation built from automated ETL routines and processed with data mining and machine learning techniques was created. Our framework evaluates different NLP models in a text classification task on our novel Portuguese legal corpus and performs regulatory analysis based on metrics that concern linguistic complexity, restrictiveness, law interest, and industry-specific citation relevance. Our results were examined over time and validated by correlating them with known episodes of regulatory changes in Brazilian history, such as the implementation of new economic plans or the emergence of an energy crisis. Methods and metrics proposed by this framework can be used by policy makers to measure their own work and serve as inputs for future studies that could analyze government changes and their relationship with federal regulations.

Suggested Citation

  • Letícia Moreira Valle & Stefano Giacomazzi Dantas & Daniel Guerreiro e Silva & Ugo Silva Dias & Leonardo Monteiro Monasterio, 2022. "RegBR: A novel Brazilian government framework to classify and analyze industry-specific regulations," PLOS ONE, Public Library of Science, vol. 17(9), pages 1-25, September.
  • Handle: RePEc:plo:pone00:0275282
    DOI: 10.1371/journal.pone.0275282
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    References listed on IDEAS

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    1. Omar Al‐Ubaydli & Patrick A. McLaughlin, 2017. "RegData: A numerical database on industry‐specific regulations for all United States industries and federal regulations, 1997–2012," Regulation & Governance, John Wiley & Sons, vol. 11(1), pages 109-123, March.
    2. repec:ucp:bkecon:9788024613703 is not listed on IDEAS
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    4. Coates, Dennis & Heckelman, Jac C, 2003. "Interest Groups and Investment: A Further Test of the Olson Hypothesis," Public Choice, Springer, vol. 117(3-4), pages 333-340, December.
    5. Casey B. Mulligan & Andrei Shleifer, 2005. "The Extent of the Market and the Supply of Regulation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(4), pages 1445-1473.
    6. JosŽ Luis Oreiro & Luciano Luiz Manarin & Paulo Gala, 2020. "Deindustrialization, economic complexity and exchange rate overvaluation: the case of Brazil (1998-2017)," PSL Quarterly Review, Economia civile, vol. 73(295), pages 313-341.
    7. Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
    8. Andre Averbug, 2002. "The Brazilian Economy in 1994–1999: From the Real Plan to Inflation Targets," The World Economy, Wiley Blackwell, vol. 25(7), pages 925-944, July.
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