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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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“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).”
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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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