The gender gap in earnings : A two - way nested multiple regression analysis with random effects  

Oleh:

Leeuw, Jan de ; Kreft, Ita G. G.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 22 no. 03 (Feb. 1994), page 319-341.
Topik: Regression analysis; Gender
Fulltext: KREFT-319-41.pdf (2.13MB)

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Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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The gender income gap is a much debated subject both at an analytical and economic level. This article considers both, but emphasizes the different ways the data can be analyzed. The authors show that a hierarchical linear model is the best way to evaluate male-female wage differentials. Both inter industry and intra industry wage disparities between men and women are measured by using a technique that assumes that observations within the same industry have correlated error terms. By simultaneously testing human capital factors and environmental factors, the analysis model serves as a link between theory and empirical analysis. The results show that the wage differences are larger in some industries than in others, so that it can be assumed that a gender income gap is not only a function of individual differences in qualification, but also differences between industries. The between-industry differences in gender income gaps contradict the hypothesis that gender income differential is largely 4ue to female work preferences and the resulting segregation.

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