Returns to higher education subjects and tiers in China
Evidence from the China Family Panel Studies
Bibliographic Data
| ID | 4098209 |
|---|---|
| Authors | Lili Kang (0000-0002-4726-050X, Shanghai Lixin University of Accounting and Finance), Fei Peng (0000-0003-4960-6110, Shanghai Lixin University of Accounting and Finance), Yu Zhu (0000-0003-1360-0753, University of Dundee, corresponding author) |
| Year | 2021 |
| Volume | 46 |
| Issue | 8 |
| Pages | 1682-1695 |
| Publication date | 2021-08-03 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Studies in Higher Education (JOURNAL) |
| Journal identifiers | ISSN: 0307-5079 • E-ISSN: 1470-174X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/03075079.2019.1698538 |
| OpenAlex | W2894552826 |
| Language | EN |
| Citations received | 12 |
| References cited | 26 |
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
Actuarial science · China · Demographic economics · Econometrics · Economic growth · Economics · Higher education · Ordinary least squares · Panel data · Political science · Vocational education · Higher Education Research Studies · Intergenerational and Educational Inequality Studies · Labor market dynamics and wage inequality · Law · Psychology
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Estimating the Payoff to Attending a More Selective College
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Reflections on the Transition from Elite to Mass to Universal Access
Ability sorting and the returns to college major
Estimating returns to education using twins in urban China
Cultural capital, family background and education
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Recent Developments in the Econometrics of Program Evaluation
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| Unique citing works | 12 |
|---|---|
| Citations per year | 2 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |