Evaluating Econometric Evaluations of Post-Secondary Aid

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 selec...

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Main Authors: Angrist, Joshua, Autor, David H, Hudson, Sally Lindquist, Pallais, Amanda Dawn
Other Authors: Massachusetts Institute of Technology. Department of Economics
Format: Article
Language:en_US
Published: American Economic Association 2017
Online Access:http://hdl.handle.net/1721.1/109193
https://orcid.org/0000-0001-6992-8956
https://orcid.org/0000-0002-6915-9381
https://orcid.org/0000-0003-1951-264X
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author Angrist, Joshua
Autor, David H
Hudson, Sally Lindquist
Pallais, Amanda Dawn
author2 Massachusetts Institute of Technology. Department of Economics
author_facet Massachusetts Institute of Technology. Department of Economics
Angrist, Joshua
Autor, David H
Hudson, Sally Lindquist
Pallais, Amanda Dawn
author_sort Angrist, Joshua
collection MIT
description 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.
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spelling mit-1721.1/1091932022-10-02T03:15:57Z Evaluating Econometric Evaluations of Post-Secondary Aid Angrist, Joshua Autor, David H Hudson, Sally Lindquist Pallais, Amanda Dawn Massachusetts Institute of Technology. Department of Economics Angrist, Joshua Autor, David H Hudson, Sally Lindquist Pallais, Amanda Dawn 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. Susan Thompson Buffett Foundation MIT SEII seed fund 2017-05-18T23:30:37Z 2017-05-18T23:30:37Z 2015-05 Article http://purl.org/eprint/type/JournalArticle 0002-8282 http://hdl.handle.net/1721.1/109193 Angrist, Josh, David Autor, Sally Hudson, and Amanda Pallais. “ Evaluating Econometric Evaluations of Post-Secondary Aid † .” American Economic Review 105, no. 5 (May 2015): 502–507. © 2015 American Economic Association https://orcid.org/0000-0001-6992-8956 https://orcid.org/0000-0002-6915-9381 https://orcid.org/0000-0003-1951-264X en_US http://dx.doi.org/10.1257/aer.p20151025 American Economic Review Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Economic Association American Economic Association
spellingShingle Angrist, Joshua
Autor, David H
Hudson, Sally Lindquist
Pallais, Amanda Dawn
Evaluating Econometric Evaluations of Post-Secondary Aid
title Evaluating Econometric Evaluations of Post-Secondary Aid
title_full Evaluating Econometric Evaluations of Post-Secondary Aid
title_fullStr Evaluating Econometric Evaluations of Post-Secondary Aid
title_full_unstemmed Evaluating Econometric Evaluations of Post-Secondary Aid
title_short Evaluating Econometric Evaluations of Post-Secondary Aid
title_sort evaluating econometric evaluations of post secondary aid
url http://hdl.handle.net/1721.1/109193
https://orcid.org/0000-0001-6992-8956
https://orcid.org/0000-0002-6915-9381
https://orcid.org/0000-0003-1951-264X
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