Cited by 178Advanced Causal Inference TechniquesLaw, Economics, and Judicial SystemsHealthcare Policy and Management

Interpreting pre-trends as anticipation: Impact on estimated treatment effects from tort reform

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Malani, Anup, Reif, Julian·2015·Journal of Public Economics

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Crossref · 10.1016/j.jpubeco.2015.01.001

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51 of 51 references verified0 citation errors · 0 not checkable

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  • The no-anticipation assumption is important for identification of τ2 because otherwise changes in outcomes for the treated group between periods 1 and 2 could reflect anticipatory effects in period 1 as well as the causal effect in period 2.

    “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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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 · 2014: 1 · 2013: 1
FWCI
12.46
Type
journal article
Language
en
Open access
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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