Returns to Higher Education Subjects and Tiers in China: Evidence from the China Family Panel Studies

Autor/inn/en	Kang, Lili; Peng, Fei; Zhu, Yu
Titel	Returns to Higher Education Subjects and Tiers in China: Evidence from the China Family Panel Studies
Quelle	In: Studies in Higher Education, 46 (2021) 8, S.1682-1695 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Zhu, Yu)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0307-5079
DOI	10.1080/03075079.2019.1698538
Schlagwörter	Higher Education; Institutional Characteristics; Foreign Countries; College Graduates; Reputation; Universities; Gender Differences; Probability; STEM Education; Medical Education; Legal Education (Professions); Management Development; Economics Education; Majors (Students); Enrollment Trends; Trend Analysis; Salary Wage Differentials; Outcomes of Education; China + Suchen Sie Ihr Suchwort? Hochschulbildung; Hochschulsystem; Hochschulwesen; Ausland; Hochschulabsolvent; Hochschulabsolventin; University; Universität; Geschlechterkonflikt; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; STEM; Medizinische Ausbildung; Juristischer Beruf; Wirtschaftskunde; Trendanalyse; Lernleistung; Schulerfolg
Abstract	Using the China Family Panel Studies, we identify the subjects studied by vocational college and university graduates, with the latter group further divided into ordinary and key universities. While the returns are around 8-10% to attending colleges and ordinary universities, there are higher returns of 12-16% per annum to attending the more prestigious key universities. The recent massive expansion of the higher education sector resulted in reduced returns to all HE types, except for graduates who studied subjects other than LEM (law, economics, and management) or STEM (sciences, technology, engineering and math/medicine) at key universities. We further account for selection on observables into subjects and tiers using the doubly robust Inverse Probability Weighted Regression Adjustment method (IPWRA) approach. While these results are tentative, they suggest that pooled OLS and random-effect models substantially underestimate the effect of attending universities that are more prestigious for graduates of both genders in LEM. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01