Improving Regulatory Effectiveness through Better Targeting: Evidence from OSHA
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- Matthew S. Johnson & David I. Levine & Michael W. Toffel, 2023. "Improving Regulatory Effectiveness through Better Targeting: Evidence from OSHA," American Economic Journal: Applied Economics, American Economic Association, vol. 15(4), pages 30-67, October.
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Cited by:
- Andr's Gonz'lez Lira & Ahmed Mushfiq Mobarak, 2018.
"Slippery Fish: Enforcing Regulation when Agents Learn and Adapt,"
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2143R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2021.
- Andres Gonzalez-Lira & Ahmed Mushfiq Mobarak, 2021. "Slippery Fish: Enforcing Regulation when Agents Learn and Adapt," NBER Working Papers 28610, National Bureau of Economic Research, Inc.
- Drescher, Katharina & Janzen, Benedikt, 2025. "When weather wounds workers: The impact of temperature on workplace accidents," Journal of Public Economics, Elsevier, vol. 241(C).
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"Energy efficiency can deliver for climate policy: Evidence from machine learning-based targeting,"
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- Peter Christensen & Paul Francisco & Erica Myers & Hansen Shao & Mateus Souza, 2022. "Energy Efficiency Can Deliver for Climate Policy: Evidence from Machine Learning-Based Targeting," NBER Working Papers 30467, National Bureau of Economic Research, Inc.
- Liu, Qing & Lu, Ruosi & Teng Sun, Stephen & Zhang, Meng, 2024. "Unintended workplace safety consequences of minimum wages," Journal of Public Economics, Elsevier, vol. 239(C).
- Sarah Dolfin & Nan Maxwell & Ankita Patnaik, "undated". "WHD Compliance Strategies: Directions for Future Research," Mathematica Policy Research Reports b7a5ca876e0b448f9b9c0850e, Mathematica Policy Research.
- 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.
- Juan Carlos Perdomo, 2023. "The Relative Value of Prediction in Algorithmic Decision Making," Papers 2312.08511, arXiv.org, revised May 2024.
- Kirill Ponomarev & Vira Semenova, 2024. "On the Lower Confidence Band for the Optimal Welfare," Papers 2410.07443, arXiv.org, revised Oct 2024.
- Raghunandan, Aneesh & Ruchti, Thomas, 2024. "The impact of information frictions within regulators: evidence from workplace safety violations," LSE Research Online Documents on Economics 122404, London School of Economics and Political Science, LSE Library.
- Anja Bondebjerg & Trine Filges & Jan Hyld Pejtersen & Malene Wallach Kildemoes & Hermann Burr & Peter Hasle & Emile Tompa & Elizabeth Bengtsen, 2023. "Occupational health and safety regulatory interventions to improve the work environment: An evidence and gap map of effectiveness studies," Campbell Systematic Reviews, John Wiley & Sons, vol. 19(4), December.
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More about this item
Keywords
; ;JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
- J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions
- K32 - Law and Economics - - Other Substantive Areas of Law - - - Energy, Environmental, Health, and Safety Law
- L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2019-09-23 (Big Data)
- NEP-CMP-2019-09-23 (Computational Economics)
- NEP-HEA-2019-09-23 (Health Economics)
- NEP-LAB-2019-09-23 (Labour Economics)
- NEP-LAW-2019-09-23 (Law and Economics)
- NEP-REG-2019-09-23 (Regulation)
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