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Interpreting pre-trends as anticipation: Impact on estimated treatment effects from tort reform
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“This is important for identification of τ 2 , since otherwise the changes in the outcome for the treated group between period 1 and 2 could reflect not just the causal effect in period t ' 2 but also the anticipatory effect in period t ' 1 (Abbring and van den Berg, 2003; Malani and Reif, 2015).”
From What's trending in difference-in-differences? A synthesis of the recent econometrics literature (2023) · cites this paper as Malani and Reif, 2015
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“In contrast, Malani and Reif (2015) provide a framework for identifying treatment effects in the presence of anticipation of expected future treatment and apply their approach to study how physician labor supply is affected by anticipated reform of tort laws.”
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Metadata
- Authors
- Malani, A., & Reif, J.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Reif, Julian
- Venue
- Journal of Public Economics
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 124
- Pages
- 1-17
- ISSN
- 0047-2727 (ISSN-L)
- OpenAlex
- W2075162239
- Cited by
- 178
- References
- 57
- Citations by year
- 2026: 26 · 2025: 16 · 2024: 17 · 2023: 21 · 2022: 19 · 2021: 19 · 2020: 12 · 2019: 3 · 2018: 18 · 2017: 8 · 2016: 13 · 2015: 3
- FWCI
- 12.46
- Type
- journal article
- Language
- en
- Open access
- green
- autopapers.ssrn.com
- Locations
- Journal of Public Economics (publishedVersion)
- bepress Legal Repository (submittedVersion)
- SSRN Electronic Journal (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Law, Economics, and Judicial Systems
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Keywords
- anticipation effects, endogeneity, treatment effects, tort reform, physician supply, instrumental variables, physician expectations, medical malpractice liability
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