Comparable Estimates of Returns to Schooling Around the World
Claudio Montenegro and
Harry Patrinos
Working Papers from University of Chile, Department of Economics
Abstract:
Rates of return to investments in schooling have been estimated since the late 1950s. In the 60-plus year history of such estimates, there have been several attempts to synthesize the empirical results to ascertain patterns. This paper presents comparable estimates, as well as a database, that use the same specification, estimation procedure, and similar data for 139 economies and 819 harmonized household surveys. This effort to compile comparable estimates holds constant the definition of the dependent variable, the set of control variables, the sample definition, and the estimation method for all surveys in the sample. The results of this study show that (1) the returns to schooling are more concentrated around their respective means than previously thought; (2) the basic Mincerian model used is more stable than may have been expected; (3) the returns to schooling are higher for women than for men; (4) returns to schooling and labor market experience are strongly and positively associated; (5) there is a decreasing pattern over time; and (6) the returns to tertiary education are highest.
Pages: 39 pages
Date: 2014-09
New Economics Papers: this item is included in nep-edu
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (182)
Downloads: (external link)
http://www.econ.uchile.cl/uploads/publicacion/65c0 ... f296230c242e74d8.pdf (application/pdf)
Related works:
Working Paper: Comparable estimates of returns to schooling around the world (2014) 
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:udc:wpaper:wp390
Access Statistics for this paper
More papers in Working Papers from University of Chile, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Mohit Karnani ().