Search Results

Author: Smith, Jeffrey
Resulting in 2 citations.
1. Dillon, Eleanor Wiske
Smith, Jeffrey
Determinants of the Match Between Student Ability and College Quality
Journal of Labor Economics 35,1 (January 2017): 45-66.
Also: http://www.journals.uchicago.edu/doi/abs/10.1086/687523
Cohort(s): NLSY97
Publisher: University of Chicago Press
Keyword(s): College Characteristics; Colleges; Test Scores/Test theory/IRT

We examine how students of varying abilities sort (and are sorted) into colleges of varying qualities. Our data indicate substantial amounts of both academic undermatch (high ability students at low quality colleges) and academic overmatch (low ability students at high quality colleges). Student application and enrollment decisions, rather than college admission decisions, drive most deviations from academic assortative matching. Financial constraints, information, and the public college options facing students all affect this sorting, but mainly via the college quality rather than the match between ability and quality. More informed students attend higher quality colleges, even when doing so involves overmatching.
Bibliography Citation
Dillon, Eleanor Wiske and Jeffrey Smith. "Determinants of the Match Between Student Ability and College Quality." Journal of Labor Economics 35,1 (January 2017): 45-66.
2. Smith, Jeffrey
Vishkin, Ophira
Gender and the STEM Trajectory: Evidence from the NLSY97
Presented: New Orleans LA, Assocation for Education Finance and Policy Annual Conference, March 2013
Cohort(s): NLSY97
Publisher: Association for Education Finance and Policy
Keyword(s): College Characteristics; College Major/Field of Study/Courses; Gender Differences

Permission to reprint the abstract has not been received from the publisher.

How do the men and women who wind up in science, technology, engineering, and math (STEM) careers differ, and how do their trajectories toward these careers compare? Using high school transcript, college major, and early career data from the 1997 cohort of the National Longitudinal Survey of Youth (NLSY97), we present evidence on the high volume of major changes to and from STEM fields. We then present and discuss marginal effects of demographics and college quality on enroll- ment in a four-year college, STEM major declaration, and graduation in a STEM field. Our data show young men are more likely than young women to ever declare any STEM majors, and substantially more likely to ever declare a natural science, math, or engineering STEM major. If they graduate, these young men are also more likely to complete a STEM degree. Finally, we present decompositions of the effects of gender, race, parental education, and local education levels on each stage leading toward the completion of a STEM degree.

Also presented at AEA conference of the Allied Social Science Associations Jan. 2014 meeting in Philadelphia PA.

Bibliography Citation
Smith, Jeffrey and Ophira Vishkin. "Gender and the STEM Trajectory: Evidence from the NLSY97." Presented: New Orleans LA, Assocation for Education Finance and Policy Annual Conference, March 2013.