EconPapers    
Economics at your fingertips  
 

Parametric and Semi-parametric Estimations of the Return to Schooling in South Africa

Sonia Bhalotra and Claudia Sanhueza

No 294, Econometric Society 2004 Latin American Meetings from Econometric Society

Abstract: This paper estimates return to schooling for african and coloured women in South Africa. It compares parametric and semiparametric estimates of the sample selection model for the case of return to schooling. The parametric estimator is the one proposed by Heckman (1979) and the semiparametric estimator proposed by Newey (1991) and Klein and Spady (1993). It also attempts to correct endogeneity and mesurement error by using instruments of schooling. Following recent literature, the paper uses community variables primary and secondary school proximity and availability as instruments. Using instrumental variables increases the return to schooling substantially. Parametric corrections does not change the results but semiparametric corrections increases the return even more

Keywords: return to schooling; sample selection bias; semiparametric regression; instrumental variables; south africa (search for similar items in EconPapers)
JEL-codes: C14 J24 O55 (search for similar items in EconPapers)
Date: 2004-08-11
New Economics Papers: this item is included in nep-afr
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://repec.org/esLATM04/up.26737.1082084771.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:ecm:latm04:294

Access Statistics for this paper

More papers in Econometric Society 2004 Latin American Meetings from Econometric Society Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().

 
Page updated 2025-03-22
Handle: RePEc:ecm:latm04:294