Access to Higher Education: Empirical Analysis of Data on Large Families

Maria Gorban ()
Additional contact information
Maria Gorban: CEFIR, Moscow, Russia

Applied Econometrics, 2010, vol. 17, issue 1, 128-137

Abstract: The paper contributes to Russian empirical literature on determinants of higher education using data from a small regional survey of large families. The binary probit estimation results are consistent with the traditional set of hypotheses. The educational choice of a child is affected by family characteristics, in the first place by the educational attainment of parents, as well as by the locality type; also, personal characteristics of the child and family structure matter, as well as the family's efforts to improve its housing conditions

Keywords: access to higher education; large families; probit model; family resources (search for similar items in EconPapers)
JEL-codes: D13 I21 J13 (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://pe.cemi.rssi.ru/pe_2010_1_128-137.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ris:apltrx:0066

Access Statistics for this article

Applied Econometrics is currently edited by Anatoly Peresetsky

More articles in Applied Econometrics from Russian Presidential Academy of National Economy and Public Administration (RANEPA)
Bibliographic data for series maintained by Anatoly Peresetsky ().