Arbeitspapier

Intended college enrollment and educational inequality: Do students lack information?

Despite increasing access to university education, students from disadvantaged or non-academic family backgrounds are still underrepresented at universities. In this regard, the economic literature mainly studies the effect of financial constraints on post-secondary educational decisions. Our knowledge on potential effects of other constraints regarding university education is more limited. We investigate the causal relationship between information and educational expectations using data from a German randomized controlled trial in which students in high schools were treated with information on the benefits as well as on different funding possibilities for university education. We find that the provision of information increases intended college enrollment for students from a non-academic family background, while it leads students from academic backgrounds to lower their enrollment intentions. Our results suggest that educational inequality can be reduced by providing students with relevant information, while simultaneously improving post-secondary education matches.

Language
Englisch

Bibliographic citation
Series: DIW Discussion Papers ; No. 1589

Classification
Wirtschaft
Analysis of Education
Education and Inequality
Human Capital; Skills; Occupational Choice; Labor Productivity
Subject
Randomized Controlled Trial
Information Deficit
Educational Expectation
College Enrollment
Educational Inequality

Event
Geistige Schöpfung
(who)
Peter, Frauke H.
Zambre, Vaishali
Event
Veröffentlichung
(who)
Deutsches Institut für Wirtschaftsforschung (DIW)
(where)
Berlin
(when)
2016

Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Peter, Frauke H.
  • Zambre, Vaishali
  • Deutsches Institut für Wirtschaftsforschung (DIW)

Time of origin

  • 2016

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