Artikel

Dynamic skill accumulation, education policies, and the return to schooling

Using a dynamic skill accumulation model of schooling and labor supply with learning-by-doing, we decompose early life-cycle wage growth of U.S. white males into four main sources: education, hours worked, cognitive skills (Armed Forces Qualification Tests scores), and unobserved heterogeneity, and evaluate the ef- fect of compulsory high school graduation and a reduction in the cost of college. About 60 percent of the differences in slopes of early life-cycle wage profiles are explained by heterogeneity while individual differences in hours worked and education explain the remaining part almost equally. We show how our model is a particularly useful tool to comprehend the distinctions between compulsory schooling and a reduction in the cost of higher education. Finally, because policy changes induce simultaneous movements in observed choices and average per- year effects, linear instrumental variable (IV ) estimates generated by those policy changes are uninformative about the returns to education for those affected. This is especially true for compulsory schooling estimates as they exceed IV estimates generated by the reduction in the cost of higher education even if the latter policy affects individuals with much higher returns than than those affected by compulsory schooling.

Sprache
Englisch

Erschienen in
Journal: Quantitative Economics ; ISSN: 1759-7331 ; Volume: 8 ; Year: 2017 ; Issue: 3 ; Pages: 895-927 ; New Haven, CT: The Econometric Society

Klassifikation
Wirtschaft
Thema
Dynamic skill accumulation
education policies
returns to schooling
learning-by-doing
life-cycle labor supply
IV estimation

Ereignis
Geistige Schöpfung
(wer)
Belzil, Christian
Hansen, Jorgen
Liu, Xingfei
Ereignis
Veröffentlichung
(wer)
The Econometric Society
(wo)
New Haven, CT
(wann)
2017

DOI
doi:10.3982/QE321
Handle
Letzte Aktualisierung
10.03.2025, 11:46 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Belzil, Christian
  • Hansen, Jorgen
  • Liu, Xingfei
  • The Econometric Society

Entstanden

  • 2017

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