Returns to Higher Education Subjects and Tiers in China: Evidence from the China Family Panel Studies
Fei Peng and
Yu Zhu ()
No 12071, IZA Discussion Papers from Institute of Labor Economics (IZA)
Using the recent China Family Panel Studies, we identify the subjects studied by college (2â€“3 years) graduates and university (4â€“5 years) graduates. For the university graduates, we can further distinguish universities by the tier of selectivity (i.e., Key and Ordinary Universities). We take advantage of the rich information on the respondent's school cohort, hukou status at age 12, and the mother's age and education to estimate university applicants' simultaneous choice of subject and tier of prestige of higher education institutions (HEIs). Using the doubly robust Inverse Probability Weighted Regression Adjustment method to account for selection â€“ on observables â€“ into subjects and tiers, our treatment effect estimates 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 law, economics, and management (LEM). We also demonstrate that the recent massive expansion of the higher education sector resulted in reduced returns to HE for all graduates, except for graduates who studied LEM or Other non-STEM (sciences, technology, engineering and math/medicine) subjects at the most prestigious universities. The results are robust to treating subjects as predetermined for the selection into HEIs by tiers of prestige.
Keywords: inverse probability weighted regression adjustment; China; returns to university tier and subjects; higher education expansion (search for similar items in EconPapers)
JEL-codes: I23 I26 (search for similar items in EconPapers)
Pages: 33 pages
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Published in: Studies in Higher Education. Published online 11 Dec 2019 ( http://dx.doi.org/10.1080/03075079.2019.1698538 )
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Working Paper: Returns to higher education subjects and tiers in China - Evidence from the China Family Panel Studies (2018)
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