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  PhillipsReberAEJPolicyArchive 07/06/2021 08:13:AM
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Project Citation: 

Phillips, Meredith, and Reber, Sarah. Data and Code for: Does Virtual Advising Increase College Enrollment? Evidence from a Random Assignment College Access Field Experiment. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-07-26. https://doi.org/10.3886/E139421V1

Project Description

Summary:  View help for Summary Although in-person college access programs can be effective, less is known about whether low-cost and scalable virtual interventions can achieve the same benefits. We evaluate two variants of a virtual college counseling program. Students randomly assigned to the program felt more supported applying to college and applied more broadly to four-year colleges, but were not more likely to be accepted or enroll. We analyze rich and extensive survey data to explore mechanisms and why the program did not improve college enrollment. We conclude that low-intensity programs may work for some students, but many probably need in-person and intensive help.
Funding Sources:  View help for Funding Sources Institute of Education Sciences (R305A110809); Eunice Kennedy Shriver National Institute of Child Health and Human Development (R24HD041022)

Scope of Project

Subject Terms:  View help for Subject Terms college access; RCT; college counseling
JEL Classification:  View help for JEL Classification
      I21 Analysis of Education
      I23 Higher Education; Research Institutions
Geographic Coverage:  View help for Geographic Coverage United States, California
Time Period(s):  View help for Time Period(s) 8/2011 – 7/2017
Collection Date(s):  View help for Collection Date(s) 2/2012 – 7/2017
Universe:  View help for Universe High school juniors in southern California.
Data Type(s):  View help for Data Type(s) aggregate data
Collection Notes:  View help for Collection Notes The consent documents and approved IRB protocols require us to keep the student-level data in a secure data enclave and restrict their use to the study team, so we cannot share these data publicly.
This archive primarily contains statistical programs used in the analysis.


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