Abstract
This paper studies the gender wage gap by educational attainment in Italy\r\nusing 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.
| Original language | English |
|---|---|
| Pages (from-to) | 117-147 |
| Number of pages | 31 |
| Journal | THE JOURNAL OF ECONOMIC INEQUALITY |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2014 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 5 Gender Equality
All Science Journal Classification (ASJC) codes
- Sociology and Political Science
- General Economics,Econometrics and Finance
- Organizational Behavior and Human Resource Management
Keywords
- Counterfactual distributions
- Decompositions
- Education
- Gender wage gap
- Hazard function
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