Project Activities
People and institutions involved
IES program contact(s)
Products and publications
Arbour, D., Ben-Michael, E., Feller, A., Franks, A., & Raphael, S. (2021). Using Multitask Gaussian Processes to estimate the effect of a targeted effort to remove firearms. arXiv preprint arXiv:2110.07006.
Armstrong, T. B., Kline, P., & Sun, L. (2023). Adapting to Misspecification. arXiv preprint arXiv:2305.14265.
Ben-Michael, E., Arbour, D., Feller, A., Franks, A., & Raphael, S. (2023). Estimating the effects of a California gun control program with multitask Gaussian processes. The Annals of Applied Statistics, 17(2), 985-1016.
Ben-Michael, E., Feller, A., & Hartman, E. (2021). Multilevel calibration weighting for survey data. Political Analysis, 1-19.
Ben-Michael, E., Feller, A., & Rothstein, J. (2023). Varying impacts of letters of recommendation on college admissions (No. w30940). National Bureau of Economic Research.
Ben-Michael, E., Feller, A., & Rothstein, J. (2020). Varying impacts of letters of recommendation on college admissions: Approximate balancing weights for subgroup effects in observational studies. arXiv preprint arXiv:2008.04394.
Ben-Michael, E., Feller, A., & Rothstein, J. (2022). Synthetic controls with staggered adoption. Journal of the Royal Statistical Society Series B: Statistical Methodology, 84(2), 351-381.
Ben-Michael, E., Feller, A., & Rothstein, J. (2021). The augmented synthetic control method. Journal of the American Statistical Association, 116(536), 1789-1803.
Ben-Michael, E., Feller, A., & Stuart, E. A. (2021). A trial emulation approach for policy evaluations with group-level longitudinal data. Epidemiology (Cambridge, Mass.), 32(4), 533.
Bruns-Smith, D., Dukes, O., Feller, A., & Ogburn, E. L. (2023). Augmented balancing weights as linear regression. arXiv preprint arXiv:2304.14545.
Feller, A., & Stuart, E. A. (2021). Challenges with evaluating education policy using panel data during and after the COVID-19 pandemic. Journal of Research on Educational Effectiveness, 14(3), 668-675.
Ham, D. W., & Miratrix, L. (2022). Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold. arXiv preprint arXiv:2205.08644.
Kim, E. J., & Miratrix, L.W. (2023). The Causal Impact of Charter Schools on Private Tutoring Prevalence. (EdWorkingPaper: 23-756). Retrieved from Annenberg Institute at Brown University: https://doi.org/10.26300/qs5q-ga02
Lu, B., Ben-Michael, E., Feller, A., & Miratrix, L. (2023). Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation. Journal of Educational and Behavioral Statistics, 10769986231155427.
Lu, B., Ben-Michael, E., Feller, A., & Miratrix, L. (2021). Is it who you are or where you are? Accounting for compositional differences in cross-site treatment variation. arXiv preprint arXiv:2103.14765.
Miratrix, L. W. (2022). Using simulation to analyze interrupted time series designs. Evaluation Review, 46(6), 750-778.
Rothstein, J., & Whitmore Schanzenbach, D., (2022). Does Money Still Matter? Attainment and Earnings Effects of Post-1990 School Finance Reforms. Journal of Labor Economics, 40(suppl 1).
Singh, R., & Sun, L. (2019). Double robustness for complier parameters and a semiparametric test for complier characteristics. arXiv preprint arXiv:1909.05244.
Soriano, D., Ben-Michael, E., Bickel, P. J., Feller, A., & Pimentel, S. D. (2023). Interpretable sensitivity analysis for balancing weights. Journal of the Royal Statistical Society Series A: Statistics in Society.
Soriano, D., Ben-Michael, E., Bickel, P. J., Feller, A., & Pimentel, S. D. (2021). Interpretable sensitivity analysis for balancing weights. arXiv preprint arXiv:2102.13218.
Sun, L., & Shapiro, J. M. (2022). A linear panel model with heterogeneous coefficients and variation in exposure. Journal of Economic Perspectives, 36(4), 193-204.
Supplemental information
Co-Principal Investigators: Miratrix, Luke; Rothstein, Jesse
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