Randomized controlled trials (RCTs) are considered the gold standard in estimating treatment effects. When an RCT is infeasible, regression modeling or statistical matching are often used instead.
Related Publications for Emma Kopa
Horseshoes, Hand Grenades, and Treatment Effects? Reassessing Whether Nonexperimental Estimators are BiasedFeb 28, 2015
Does Tracking of Students Bias Value-Added Estimates for Teachers?Mar 30, 2013
This working paper uses urban school district data to investigate whether including track indicators or accounting for classroom characteristics in the value-added model is sufficient to eliminate potential bias resulting from the sorting of students into academic tracks.
Horseshoes, Hand Grenades, and Treatment Effects? Reassessing Bias in Nonexperimental EstimatorsMar 30, 2013
Nonexperimental methods, such as regression modeling or statistical matching, produce unbiased estimates if the underlying assumptions hold, but these assumptions are usually not testable.
Using an Experimental Evaluation of Charter Schools to Test Whether Nonexperimental Comparison Group Methods Can Replicate Experimental Impact EstimatesApr 30, 2012
Using data from Mathematica's experimental evaluation of charter schools, this methodological study examines the validity of four different comparison group approaches to test whether these designs can replicate findings from a well-implemented random assignment study.