The gender pay gap in Hungary: New results with a new methodology
Year of publication: |
2019
|
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Authors: | Takács, Olga ; Vincze, János |
Publisher: |
Budapest : Hungarian Academy of Sciences, Institute of Economics |
Subject: | gender pay gap | Hungary | Oaxaca-Blinder decomposition | Random Forest Regression | CART |
Series: | IEHAS Discussion Papers ; MT-DP - 2019/24 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1692866303 [GVK] hdl:10419/222069 [Handle] RePEc:has:discpr:1924 [RePEc] |
Classification: | J16 - Economics of Gender ; J31 - Wage Level and Structure; Wage Differentials by Skill, Training, Occupation, etc ; C14 - Semiparametric and Nonparametric Methods |
Source: |
-
The gender pay gap in Hungary : new results with a new methodology
Takács, Olga, (2019)
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Takács, Olga, (2023)
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Blinder-Oaxaca decomposition with recursive tree-based methods: A technical note
Takács, Olga, (2019)
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The within-job gender pay gap in Hungary
Takács, Olga, (2018)
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Blinder-Oaxaca decomposition with recursive tree-based methods: A technical note
Takács, Olga, (2019)
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The gender-dependent structure of wages in Hungary: Results using machine learning techniques
Takács, Olga, (2020)
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