Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/180079 
Authors: 
Year of Publication: 
2015
Citation: 
[Journal:] Baltic Journal of Economics [ISSN:] 2334-4385 [Volume:] 15 [Issue:] 1 [Publisher:] Taylor & Francis [Place:] London [Year:] 2015 [Pages:] 1-16
Publisher: 
Taylor & Francis, London
Abstract: 
Estonia has the highest gender wage gap in the European Union and the highest degree of gender segregation by occupation and industry. Previous studies have found that most of the gap remains unexplained by personal and job characteristics. However, key job characteristics, occupation and industry, are usually imprecisely measured, leading to the question of whether all relevant characteristics have been properly taken into account in the decompositions. In this paper, we perform the decomposition of the wage gap to see how much of the wage gap remains unexplained after using more detailed data than has been common in previous studies (the Estonian Structure of Earnings Study data set), and discuss the related methodological challenges. Using a non-parametric method that takes into account differences in supports of distributions of male and female workers' characteristics, we find that using more detailed data does not eliminate the unexplained wage gap: about half of the wage gap remains unexplained even using the full set of available variables.
Subjects: 
gender wage gap
labour market segregation
matching
non-parametric decomposition
JEL: 
J16
D31
J3
J7
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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