WAGE DISCRIMINATION AGAINST WOMEN IN BALTIC COUNTRIES

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

WAGE DISCRIMINATION AGAINST WOMEN IN BALTIC COUNTRIES

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

WAGE DISCRIMINATION AGAINST WOMEN IN BALTIC COUNTRIES

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

1

Strana od-do

15-15

Název nakladatele

International Institute of Social and Economic Sciences

Místo vydání

Praque

Místo konání akce

London

Datum konání akce

22. 6. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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