Bruno Ferman, Lucas Finamor
arXiv 10 Oct 2026 · Econometrics
arXiv:2610.15063 · PDF · Extracted main text
Randomized experiments are often linked to administrative data to measure outcomes, but coarse identifiers can leave multiple administrative records consistent with each experimental unit. We show that unbiased estimation of the sample average treatment effect is possible without resolving these ambiguous links or specifying an outcome model. Our key linkage requirement is that the true administrative outcome is contained among the candidate outcomes for each experimental unit. We characterize the precision cost of linkage ambiguity and study two complementary ways to mitigate it: regression adjustment and reweighting based on observed linkage characteristics. We establish finite-sample and asymptotic properties of these estimators and develop valid randomization-based and large-sample inference.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Chambers, Ray (2009) Regression Analysis of Probability-Linked Data | 0.511 | 4 | 2 | 25% |
| 2 | Han, Ying, and Partha Lahiri (2019) Statistical Analysis with Linked Data | 0.511 | 4 | 2 | 25% |
| 3 | Kim, Gunky, and Raymond Chambers (2012) Regression Analysis under Probabilistic Multi-Linkage | 0.511 | 4 | 2 | 25% |
| 4 | Kim, Gunky, and Raymond Chambers (2012) Regression Analysis under Incomplete Linkage | 0.511 | 4 | 2 | 25% |
| 5 | Lahiri, P., and Michael D. Larsen (2005) Regression Analysis with Linked Data | 0.511 | 4 | 2 | 25% |
| 6 | Bukke, Priyanjali, and Martin Slawski (2025) Relaxing the Assumption of Strongly Non-Informative Linkage Error in Secondary Regression Analysis of Linked Files | 0.511 | 3 | 2 | 33% |
| 7 | Chambers, Ray, and Andrea Diniz da Silva (2020) Improved Secondary Analysis of Linked Data: A Framework and an Illustration | 0.511 | 3 | 2 | 33% |
| 8 | Goldstein, Harvey, Katie Harron, and Angie Wade (2012) The Analysis of Record-Linked Data Using Multiple Imputation with Data Value Priors | 0.511 | 3 | 2 | 33% |
| 9 | Sadinle, Mauricio (2017) Bayesian Estimation of Bipartite Matchings for Record Linkage | 0.511 | 3 | 2 | 33% |
| 10 | Slawski, Martin, Brady T. West, Priyanjali Bukke, Zhenbang Wang, Guo… (2025) A General Framework for Regression with Mismatched Data Based on Mixture Modelling | 0.511 | 3 | 2 | 33% |
Showing the top 10 of 31 scored citations.