Working Papers

Completed working papers can be found on arXiv

Keele, Luke., Ben-Michael, E., Feller, A., Kelz, R. and Miratrix, L. (2020). “Hospital Quality Risk Standardization via Approximate Balancing Weights”.

Keele, L. and Stevenson, R. ”Causal Interaction and Effect Modification: Same Model, Different Concepts.”

Keele, L., Hasegawa, R. and Small, D. ”Bracketing Bounds for Differences-in-Differences with an Application to Voter ID Laws.”

Keele, L. and Page, L. ”The Design of Clustered Observational Studies in Education.”

Cattaneo, M. Keele, L., Titiunik, R. ”A Guide to Regression Discontinuity Designs in Medical Applications.”

Fogarty, C., Lee, K. and Keele, L. ”Sensitivity Analysis in Matched Instrumental Variable Observational Studies.”

Branson, Z. and Keele, L. ”Evaluating A Key Instrumental Variable Assumption Using Randomization Tests.”

Cattaneo, M. Keele, L., Titiunik, R., Vazquez-Bare, G. ”Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs.”

Keele, L. , Fogarty, C., Small, D., and Hsu, J. ”Patterns of Effects and Sensitivity Analysis for Differences-in-Differences.”

{Keele, L. and Small, D. ”Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference using Five Empirical Applications.”

Kang, H. and Keele, L. ”Estimation Methods for Cluster Randomized Trials with Noncompliance: A Study of A Biometric Smartcard Payment System in India.”

Kang, H. and Keele, L. ”Spillover Effects in Cluster Randomized Trials with Noncompliance.”

Keele, L., Williams, A., and Tchou J. ”Does chemotherapy reduce breast cancer recurrence? A regression-discontinuity design.”

Keele, L., Kelz, R., and Lorch, S. ”Beyond Propensity Score Matching: Innovations in Matching Methods for Outcomes Research.”

Pimentel, S., Page, L., Keele, L., ”Common Support Violations in Observational Studies of Educational Interventions.”

Keele, L., ”Conditioning on Post-treatment Quantities with Structural Mean Models.”

Keele, L., Harrison, D., and Grieve, R. ”A Principled Approach for Designing Observational Studies from Within RCTs.”