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Cited by 31Advanced Causal Inference TechniquesHealthcare Policy and ManagementStatistical Methods in Epidemiology

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Simulated power analyses for observational studies: An application to the Affordable Care Act Medicaid expansion

Black, Bernard, Hollingsworth, Alex, Nunes, Letícia, Simon, Kosali·2022·Journal of Public Economics
DOI 10.1016/j.jpubeco.2022.104713
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  • Black et al. (2022) describe a simulation approach to power analysis that can be used with any research design.

    “Black et al. (2022) describe a simulation approach to power analysis that can be used with any research design.”

    From Youth Mental Health and School Smartphone Bans: Early Evidence (2026) · cites this paper as Black et al. (2022)

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Metadata

Authors
Black, B., Hollingsworth, A., Nunes, L., & Simon, K.
Affiliations
  • Northwestern University (US)
  • National Bureau of Economic Research (US)
  • Insper (BR)
Corresponding author
Hollingsworth, Alex
ORCID
Venue
Journal of Public Economics
Publisher
Elsevier BV
Published
2022-09
Volume
213
Pages
104713
ISSN
0047-2727 (ISSN-L)
DOI
10.1016/j.jpubeco.2022.104713
OpenAlex
W4288421076
Cited by
31
References
5
Citations by year
2026: 4 · 2025: 10 · 2024: 12 · 2023: 1 · 2022: 3
FWCI
4.12
Type
journal article
Language
en
Open access
closed
Licence
Locations
Journal of Public Economics (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords
statistical power, observational studies, Medicaid expansion, Affordable Care Act, difference-in-differences, triple difference, effect size estimation

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