WAGE DISCRIMINATION AGAINST WOMEN IN BALTIC COUNTRIES

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F71226401%3A_____%2F18%3AN0100108" target="_blank" >RIV/71226401:_____/18:N0100108 - isvavai.cz</a>

Result on the web

<a href="https://www.iises.net/past-conferences/economic/9th-economics-finance-conference-london-uk/page-abstract-9th-economics-finance-conference-london-uk?article=wage-discrimination-against-women-in-baltic-countries" target="_blank" >https://www.iises.net/past-conferences/economic/9th-economics-finance-conference-london-uk/page-abstract-9th-economics-finance-conference-london-uk?article=wage-discrimination-against-women-in-baltic-countries</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

WAGE DISCRIMINATION AGAINST WOMEN IN BALTIC COUNTRIES

Original language description

According to Eurostat data, wage differential between men and women in Estonia is one of the highest in the European Union. On the other hand, the gender pay gap in the other two Baltic states, Lithuania and Latvia are incomparably lower and are around the EU average. However, the reported wage differences are unadjusted. The part of gender pay gap (or in extreme case all wage differences) can be explained by different average characteristics of men and women in the labor market. Only the part, that could not be explained by these factors is attributed to wage discrimination against women. Estimates of potential wage discrimination are more accurate, the more characteristics of men and women are known and reflected in the models. The traditionally included characteristics are age, tenure, education, marital status, occupation, industry, region and firm. Intra household specialization is the factor, that is often neglected and that could play an important role in explaining the wage differences between man and women. The paper aims to estimate the unexplained gender pay gap cleaned at least partially by effect of intra household specialization on wage in Baltic countries. To estimate the unexplained gender pay gap, we use European Union Statistics on Income and Living Conditions (EU-SILC) data and apply the Oaxaca-Blinder decomposition. Taking assumption that the child- and family-care take the partner who earns less, we estimate the unexplained gender pay gap using subsample of employees earning more than their partners.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

50202 - Applied Economics, Econometrics

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Book of Abstracts of the IISES 9th Economics & Finance Conference, London, UK

ISBN

978-80-87927-54-0

ISSN

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e-ISSN

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Number of pages

1

Pages from-to

15-15

Publisher name

International Institute of Social and Economic Sciences

Place of publication

Praque

Event location

London

Event date

Jun 22, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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