Replication data for: Race and College Success: Evidence from Missouri

Principal Investigator(s): View help for Principal Investigator(s) Peter Arcidiacono; Cory Koedel

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Project Citation:

Arcidiacono, Peter, and Koedel, Cory. Replication data for: Race and College Success: Evidence from Missouri. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113899V1

Project Description

Summary: Conditional on enrollment, African American students are substantially less likely to graduate from four-year public universities than white students. Using administrative micro-data from Missouri, we decompose the graduation gap into racial differences in four factors: (i) how students sort to universities, (ii) how students sort to initial majors, (iii) high-school quality, and (iv) other preentry skills. Preentry skills explain 65 and 86 percent of the gap for women and men respectively. A small role is found for differential sorting into college, driven by African Americans' disproportionate representation in urban schools and schools at the very bottom of the quality distribution.

Scope of Project

Subject Terms: race and college success; college graduation

JEL Classification:
      H75 State and Local Government: Health; Education; Welfare; Public Pensions
      I21 Analysis of Education
      I23 Higher Education; Research Institutions
      J15 Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
      R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics

Geographic Coverage: Missouri

Time Period(s): 1996 – 2009

Universe: Missouri 4-year university system entrants

Data Type(s): administrative records data

Methodology

Data Source: Missouri Department of Higher Education (now Missouri Department of Higher Education and Workforce Development)

Unit(s) of Observation: individuals,

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Published Versions

V1 [2019-10-12]

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