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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:  View help for Summary 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:  View help for Subject Terms Survey Data
JEL Classification:  View help for JEL Classification
      H75 State and Local Government: Health; Education; Welfare; Public Pensions
      I22 Educational Finance; Financial Aid
      I23 Higher Education; Research Institutions
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 1997 – 2011 (Yearly survey of incoming freshman)
Universe:  View help for Universe Incoming freshman at selected institutions that fill out the HERI Freshman Survey in each year
Data Type(s):  View help for Data Type(s) survey data
Collection Notes:  View help for Collection Notes 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:  View help for Data Source Primary: HERI Freshman Survey, Secondary: National Postsecondary Student Aid Study, Educational Longitudinal Study
Unit(s) of Observation:  View help for Unit(s) of Observation Student by year by zip code,

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