Replication data for: Evaluating Econometric Evaluations of Post-Secondary Aid
Principal Investigator(s): View help for Principal Investigator(s) Josh Angrist; David Autor; Sally Hudson; Amanda Pallais
Version: View help for Version V1
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| Published-2 | 10/12/2019 10:21:AM | ||
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text/plain | 14.6 KB | 10/12/2019 06:21:AM |
Project Citation:
Angrist, Josh, Autor, David, Hudson, Sally, and Pallais, Amanda. Replication data for: Evaluating Econometric Evaluations of Post-Secondary Aid. Nashville, TN: American Economic Association [publisher], 2015. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113369V1
Project Description
Summary:
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In an ongoing evaluation of post-secondary financial aid, we use random assignment to assess the causal effects of large privately-funded aid awards. Here, we compare the unbiased causal effect estimates from our RCT with two types of non-experimental econometric estimates. The first applies a selection-on-observables assumption in data from an earlier, nonrandomized cohort; the second uses a regression discontinuity design. Selection-on-observables methods generate estimates well below the experimental benchmark. Regression discontinuity estimates are similar to experimental estimates for students near the cutoff, but sensitive to controlling for the running variable, which is unusually coarse.
Scope of Project
JEL Classification:
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C52 Model Evaluation, Validation, and Selection
I22 Educational Finance; Financial Aid
I23 Higher Education; Research Institutions
C52 Model Evaluation, Validation, and Selection
I22 Educational Finance; Financial Aid
I23 Higher Education; Research Institutions
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