Gender Wage Differentials in Italy: A Structural Estimation Approach
Giovanni Sulis ()
Authors registered in the RePEc Author Service: Ambra Poggi () and
Matteo G. Richiardi ()
No 74, LABORatorio R. Revelli Working Papers Series from LABORatorio R. Revelli, Centre for Employment Studies
This paper studies gender wage differentials in Italy by providing a structural estimation of the frictional parameters of two different theoretical specifications of an equilibrium search model. I alternatively allow for firm heterogeneity and discrimination empirically using maximum likelihood and matching first moments in the data. Results indicate substantial differences in transition parameters with higher level of search frictions for women. The mapping from productivity to wages for men is highly non linear, with high productivity firms offering proportionally higher wages; for women, the relationships is almost linear. Including discrimination, I find that productivity accounts for 61% of the wage offer differential, search for 28% and 11% is the part of discrimination.
Keywords: Gender Wage Differentials; Equilibrium Search; Discrimination; Structural Estimation; Italy. (search for similar items in EconPapers)
JEL-codes: J31 J41 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-hap and nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4) Track citations by RSS feed
Downloads: (external link)
Journal Article: Gender wage differentials in Italy: a structural estimation approach (2012)
Working Paper: Gender Wage Differentials in Italy: a Structural Estimation Approach (2007)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:cca:wplabo:74
Access Statistics for this paper
More papers in LABORatorio R. Revelli Working Papers Series from LABORatorio R. Revelli, Centre for Employment Studies Contact information at EDIRC.
Bibliographic data for series maintained by Giovanni Bert ().