Markets matter: a simulation study of the bias-variance trade-off in comparison group selection for difference-in-differences analysis

Angrist, J.D., Pischke, J.-S.: The credibility revolution in empirical economics: How Better Research Design is taking the con out of Econometrics. J. Economic Perspect. 24(2), 3–30 (2010)

Article  Google Scholar 

Ben-Michael, E., Feller, A., Stuart, E.A.: A trial Emulation Approach for Policy evaluations with Group-Level Longitudinal Data. Epidemiology. 32(4), 533–540 (2021)

Article  PubMed  PubMed Central  Google Scholar 

Bilinski, A., Hatfield, L.A.: Nothing to see Here? Non-inferiority approaches to parallel trends and other Model assumptions. arXiv Preprint. (2018). arXiv:1805.03273

Callaway, B., Li, T.: Policy evaluation during a pandemic. J. Econ. 236(1), 105454 (2023)

Article  Google Scholar 

Callaway, B., Sant’Anna, P.H.C.: Difference-in-differences with multiple time periods. J. Econ. 225(2), 200–230 (2021). https://doi.org/10.1016/j.jeconom.2020.12.001

Article  Google Scholar 

Cefalu, M., Vegetabile, B.G., Dworsky, M., Eibner, C., Girosi, F.: Reducing Bias in difference-in-differences models using Entropy Balancing. arXiv Preprint (2020). arXiv:2011.04826.

Comprehensive Primary Care Plus Model. n.d. Centers for Medicare and Medicaid Services. Accessed February 3: (2022). https://innovation.cms.gov/innovation-models/comprehensive-primary-care-plus

Daw, J.R., Hatfield, L.A.: Matching and regression to the Mean in difference-in-differences analysis. Health Serv. Res. 53(6), 4138–4156 (2018)

Article  PubMed  PubMed Central  Google Scholar 

Dette, H., Schumann, M.: Testing for equivalence of Pre-trends in difference-in-differences estimation. J. Bus. Economic Stat., 1–35. (2024)

Freyaldenhoven, S., Hansen, C., Shapiro, J.M.: Pre-event trends in the Panel Event Study Design. Am. Econ. Rev. 109(9), 3307–3338 (2019)

Article  Google Scholar 

Haber, N.A., Clarke-Deelder, E., Salomon, J.A., Feller, A., Stuart, E.A.: Impact evaluation of Coronavirus Disease 2019 policy: A guide to Common Design issues. Am. J. Epidemiol. 190(11), 2474–2486 (2021)

Article  PubMed  Google Scholar 

Hartman, E., Hidalgo, F.D.: An Equivalence Approach to Balance and Placebo tests. Am. J. Polit. Sci. 62(4), 1000–1013 (2018)

Article  Google Scholar 

Kahn-Lang, A., Lang, K.: The Promise and pitfalls of differences-in-Differences: Reflections on 16 and pregnant and other applications. J. Bus. Economic Stat. 38(3), 613–620 (2020)

Article  Google Scholar 

Multi-Payer Advanced Primary Care Model. n.d. Centers for Medicare and Medicaid Services. Accessed February 3: (2022). https://innovation.cms.gov/innovation-models/multi-payer-advanced-primary-care-practice

Patient-Centered Medical Home Model. n.d. Blue Cross Blue Shield of Michigan. Accessed February 3: (2022). https://www.bcbsm.com/content/dam/public/Providers/Documents/value/patient-centered-medical-home-fact-sheet.pdf

Primary Care First Model. n.d. Centers for Medicare and Medicaid Services. Accessed February 3: (2022). https://innovation.cms.gov/innovation-models/primary-care-first-model-options

Rambachan, A., Roth, J.: A more credible Approach to parallel trends. Rev. Econ. Stud. 90(5), 2555–2591 (2023)

Article  Google Scholar 

Roth, J.: Pretest with caution: Event-study estimates after testing for parallel trends. Am. Economic Review: Insights. 4(3), 305–322 (2022)

Google Scholar 

Ryan, A.M., Kontopantelis, E., Linden, A., Burgess, J.F. Jr.: Now trending: Coping with Non-parallel trends in difference-in-differences analysis. Stat. Methods Med. Res. 28(12), 3697–3711 (2019)

Article  PubMed  Google Scholar 

Stuart, E.A.: Matching methods for causal inference: A review and a Look Forward. Stat. Sci. 25(1), 1–21 (2010). https://doi.org/10.1214/09-STS313

Article  PubMed  PubMed Central  Google Scholar 

Sun, L., and S Abraham: Estimating Dynamic Treatment effects in Event studies with Heterogeneous Treatment effects. J. Econ. 225(2), 175–199 (2021)

Article  Google Scholar 

Wing, C., Simon, K., Bello-Gomez, R.A.: Designing Difference in Difference studies: Best Practices for Public Health Policy Research. Annu. Rev. Public Health 66. (2018)

Comments (0)

No login
gif