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160 results
Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality
Journal Article
Matching for causal inference is a well-studied problem, but standard methods fail when the units to match are text documents: the high-dimensional and rich nature of the data renders exact matching infeasible, causes propensity scores to produce...
Worth Weighting? How to Think About and Use Sample Weights in Survey Experiments.
Journal Article
This work received the Society for Political Methodology’s 2019 Miller Prize.
An Applied Researcher’s Guide to Estimating Effects From Multisite Individually Randomized Trials: Estimands, Estimators, and Estimates
Journal Article
Researchers face many choices when conducting large-scale multisite individually randomized control trials. One of the most common quantities of interest in multisite RCTs is the overall average effect. Even this quantity is non-trivial to define and...
Lurking inferential monsters? Quantifying selection bias in evaluations of school programs.
Journal Article
This study examines whether unobserved factors substantially bias education evaluations that rely on the Conditional Independence Assumption. We add 14 new within‐study comparisons to the literature, all from primary schools in England. Across these 14...
Missing, presumed different: Quantifying the risk of attrition bias in education evaluations.
Journal Article
We estimate the magnitude of attrition bias for 10 Randomized Controlled Trials (RCTs) in education. We make use of a unique feature of administrative school data in England that allows us to analyse post-test academic outcomes for nearly all students...
Characterizing Cross-Site Variation in Local Average Treatment Effects in Multisite RDD contexts with an Application to Massachusetts High School Exit Exam
Journal Article
Multisite studies are a commonly used way to assess how a treatment works across contexts. In multisite random controlled trials (RCT), cross-site treatment effect variance is a way to quantify treatment effect variation. However, there are no...