Arbeitspapier

Gender Pay Gap Patterns in Domestic and Foreign-Owned Firms

We investigate differences in gender wage gaps between foreign-owned and domestically-owned firms in Poland, a country that has experienced large FDI inflows over the past three decades. In line with the findings of several other studies, we show that according to standard estimates of adjusted gender wage gaps, these differences are much larger in the foreign-owned companies than in the domestic firms. However, we also find that these estimates cannot be trusted because the domestically-owned firms have considerably higher levels of gender segregation, and because the OLS estimates of the adjusted gender wage gaps in this sector are more likely to be biased. Using a matching and decomposition technique (Ñopo 2008) that allows us to capture gender wage differentials over a common support, we find that gender wage gaps in domestically-owned firms are only slightly smaller than those in foreign-owned companies. Our results also indicate that women tend to segregate into low-paid jobs in the domestic sector, whereas there is no evidence of such a pattern in the foreign sector. The analysis furthers shows, however, that foreign-owned companies have much larger within-firm differences in earnings (net out of composition effects), and that these earnings they pay vary less across firms. In sum, we find that the nature of gender wage gaps and the factors that underlie them differ between domestic and foreign-owned companies.

Language
Englisch

Bibliographic citation
Series: IZA Discussion Papers ; No. 12453

Classification
Wirtschaft
Multinational Firms; International Business
Economics of Gender; Non-labor Discrimination
Wage Level and Structure; Wage Differentials
Labor Discrimination
Subject
gender wage gaps
domestic ownership
foreign ownership
FDI

Event
Geistige Schöpfung
(who)
Magda, Iga
Salach, Katarzyna
Event
Veröffentlichung
(who)
Institute of Labor Economics (IZA)
(where)
Bonn
(when)
2019

Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Magda, Iga
  • Salach, Katarzyna
  • Institute of Labor Economics (IZA)

Time of origin

  • 2019

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