A Partial Identification Approach to Identifying the Determinants of Human Capital Accumulation: An Application to Teachers

Nirav Mehta

No 9681, CESifo Working Paper Series from CESifo

Abstract: This paper views teacher quality through the human capital perspective. Teacher quality exhibits substantial growth over teachers’ careers, but why it improves is not well understood. I use a human capital production function nesting On-the-Job-Training (OJT) and Learning-by-Doing (LBD) and experimental variation from Glewwe et al. (2010), a teacher incentive pay experiment in Kenya, to discern the presence and relative importance of these forces. The identified set for the OJT and LBD components has a closed-form solution, which depends on experimentally estimated average treatment effects. The results provide evidence of an LBD component, as well as an informative upper bound on the OJT component.

Keywords: human capital; teacher quality; on-the-job training; learning-by-doing; partial identification (search for similar items in EconPapers)
JEL-codes: C10 I20 I28 J20 J24 J45 (search for similar items in EconPapers)
Date: 2022
New Economics Papers: this item is included in nep-dev, nep-edu, nep-exp, nep-lma and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.cesifo.org/DocDL/cesifo1_wp9681.pdf (application/pdf)

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:ces:ceswps:_9681

Access Statistics for this paper

More papers in CESifo Working Paper Series from CESifo Contact information at EDIRC.
Bibliographic data for series maintained by Klaus Wohlrabe ().