Student leadership experience and job accessibility: An experiment from China

Guowei Cai, Weiguang Deng and Xue Li

China Economic Review, 2023, vol. 78, issue C

Abstract: Understanding the relationships between different signals that indicate the characteristics of workers and firms is essential to improving job matching efficiency. Using a field experiment, we investigate student leadership experience premiums and explore the relationships between signals reflecting personal qualities and signals reflecting vacancy-related qualities. We find that, first, there is no universal causal effect of student leadership experience on job accessibility in China. Second, student leadership experience complements other personal qualities for individuals majoring in science and engineering. Third, student leadership experience is a complementary factor for small firms. Fourth, higher-level student leaders enjoy a larger premium in job accessibility. Finally, student leaders are not preferred by high-paying positions but favored by positions with large payment variances.

Keywords: Student leadership experience; Job access; Matching efficiency; Signals; Field experiment; China (search for similar items in EconPapers)
JEL-codes: C93 J53 J71 M12 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1043951X23000238
Full text for ScienceDirect subscribers only

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:eee:chieco:v:78:y:2023:i:c:s1043951x23000238

DOI: 10.1016/j.chieco.2023.101938

Access Statistics for this article

China Economic Review is currently edited by B.M. Fleisher, K. X. D. Huang, M.E. Lovely, Y. Wen, X. Zhang and X. Zhu

More articles in China Economic Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().