Replication data for: The Out-of-State Tuition Distortion
Principal Investigator(s): View help for Principal Investigator(s) Brian Knight; Nathan Schiff
Version: View help for Version V1
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data | 10/26/2021 10:39:AM | ||
LICENSE.txt | text/plain | 14.6 KB | 10/13/2019 02:09:AM |
Project Citation:
Knight, Brian, and Schiff, Nathan. Replication data for: The Out-of-State Tuition Distortion. Nashville, TN: American Economic Association [publisher], 2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-13. https://doi.org/10.3886/E114722V1
Project Description
Summary:
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Public universities typically charge much higher tuition to nonresidents. We first investigate the welfare implications of this tuition gap in a simple model. While the social planner does not distinguish between residents and nonresidents, state governments set higher tuition for nonresidents. The welfare gains from reducing the tuition gap can be characterized by a sufficient statistic relating out-of-state enrollment to the tuition gap. We estimate this sufficient statistic via a border discontinuity design using data on the geographic distribution of students by institution.
Scope of Project
Subject Terms:
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Survey Data
JEL Classification:
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H75 State and Local Government: Health; Education; Welfare; Public Pensions
I22 Educational Finance; Financial Aid
I23 Higher Education; Research Institutions
H75 State and Local Government: Health; Education; Welfare; Public Pensions
I22 Educational Finance; Financial Aid
I23 Higher Education; Research Institutions
Geographic Coverage:
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United States
Time Period(s):
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1997 – 2011 (Yearly survey of incoming freshman)
Universe:
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Incoming freshman at selected institutions that fill out the HERI Freshman Survey in each year
Data Type(s):
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survey data
Collection Notes:
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The HERI survey and the NPSAS data are both restricted access. Authors can apply for access; the HERI data must also be purchased.
Methodology
Data Source:
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Primary: HERI Freshman Survey, Secondary: National Postsecondary Student Aid Study, Educational Longitudinal Study
Unit(s) of Observation:
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Student by year by zip code,
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