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The gender wage gap by education in Italy

(2014) JOURNAL OF ECONOMIC INEQUALITY. 12(1). p.117-147
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Abstract
This paper studies the gender wage gap by educational attainment in Italy using the 1994–2001 ECHP data. We estimate wage distributions in the presence of covariates and sample selection separately for highly and low educated men and women. Then, we decompose the gender wage gap across all the wage distribution and isolate the part due to gender differences in the remunerations of the similar characteristics. We find that women are penalized especially if low educated. When we control for sample selection induced by unobservables, the penalties for low educated women become even larger, above all at the bottom of the wage distribution.
Keywords
PAY GAP, ATTRITION, EMPIRICAL-ANALYSIS, LABOR-MARKET, PROMOTION, COUNTRIES, MODELS, FLOORS, Gender wage gap, Education, Counterfactual distributions, Decompositions, Hazard function

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Citation

Please use this url to cite or link to this publication:

Chicago
Mussida, Chiara, and Matteo Picchio. 2014. “The Gender Wage Gap by Education in Italy.” Journal of Economic Inequality 12 (1): 117–147.
APA
Mussida, C., & Picchio, M. (2014). The gender wage gap by education in Italy. JOURNAL OF ECONOMIC INEQUALITY, 12(1), 117–147.
Vancouver
1.
Mussida C, Picchio M. The gender wage gap by education in Italy. JOURNAL OF ECONOMIC INEQUALITY. Springer; 2014;12(1):117–47.
MLA
Mussida, Chiara, and Matteo Picchio. “The Gender Wage Gap by Education in Italy.” JOURNAL OF ECONOMIC INEQUALITY 12.1 (2014): 117–147. Print.
@article{4408531,
  abstract     = {This paper studies the gender wage gap by educational attainment in Italy using the 1994--2001 ECHP data. We estimate wage distributions in the presence of covariates and sample selection separately for highly and low educated men and women. Then, we decompose the gender wage gap across all the wage distribution and isolate the part due to gender differences in the remunerations of the similar characteristics. We find that women are penalized especially if low educated. When we control for sample selection induced by unobservables, the penalties for low educated women become even larger, above all at the bottom of the wage distribution.},
  author       = {Mussida, Chiara and Picchio, Matteo},
  issn         = {1569-1721},
  journal      = {JOURNAL OF ECONOMIC INEQUALITY},
  language     = {eng},
  number       = {1},
  pages        = {117--147},
  publisher    = {Springer},
  title        = {The gender wage gap by education in Italy},
  url          = {http://dx.doi.org/10.1007/s10888-013-9242-y},
  volume       = {12},
  year         = {2014},
}

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