Signaling and Employer Learning with Instruments

Gaurab Aryal (), Manudeep Bhuller and Fabian Lange

No 12953, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: The social and the private returns to education differ when education can increase productivity, and also be used to signal productivity. We show how instrumental variables can be used to separately identify and estimate the social and private returns to education within the employer learning framework of Farber and Gibbons [1996] and Altonji and Pierret [2001]. What an instrumental variable identifies depends crucially on whether the instrument is hidden from, or observed by, the employers. If the instrument is hidden then it identifies the private returns to education, but if the instrument is observed by employers then it identifies the social returns to education. Interestingly, however, among experienced workers the instrument identifies the social returns to education, regardless of whether or not it is hidden. We operationalize this approach using local variation in compulsory schooling laws across multiple cohorts in Norway. Our preferred estimates indicate that the social return to an additional year of education is 5%, and the private internal rate of return, aggregating the returns over the life-cycle, is 7.2%. Thus, 70% of the private returns to education can be attributed to education raising productivity and 30% to education signaling workers' ability.

Keywords: signaling; human capital; employer learning; instruments (search for similar items in EconPapers)
JEL-codes: D83 J24 J31 (search for similar items in EconPapers)
Pages: 60 pages
Date: 2020-01
New Economics Papers: this item is included in nep-lma
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Published - published in: American Economic Review, 2022, 112 (5), 1669-1702

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Related works:
Journal Article: Signaling and Employer Learning with Instruments (2022)
Working Paper: Signaling and Employer Learning with Instruments (2021)
Working Paper: Signaling and Employer Learning with Instruments (2020)
Working Paper: Signaling and Employer Learning with Instruments (2019)
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