Title

Bootstrapping statistical inferences of decomposition methods for gender earnings differentials

Document Type

Journal article

Source Publication

Applied Economics

Publication Date

1-1-2008

Volume

40

Issue

12

First Page

1583

Last Page

1593

Abstract

Applying the standard bootstrapping technique with corrections for heteroskedasticity for a sample of the 1997 Urban Household Survey in China, the present article attempts to test (1) whether the commonly used decomposition methods for gender earnings differentials give significantly different results and (2) whether the explained component is significantly different from the unexplained component (which is commonly referred to as discrimination) within each decomposition method. Based on a national data set, the empirical results indicated some significant differences in both tests. The implication of the results is that the proposed bootstrapping technique can be regarded as a guideline on applying which approach to decompose gender earnings differentials among different methods without losing important information, and on evaluating the relative importance of the decomposition components for any chosen method.

DOI

10.1080/00036840600843970

Print ISSN

00036846

Funding Information

This research was supported in part by a Competitive Earmarked Research Grant (No. LU3110/03H) from the RGC of Hong Kong SAR Government and the Faculty Research Grant of the Kong Baptist University (FRG/02-03/I-37). {LU3110/03H, FRG/02-03/I-37}

Publisher Statement

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Full-text Version

Publisher’s Version

Recommended Citation

Ma, Y., & Ng, Y. C. (2008). Bootstrapping statistical inferences of decomposition methods for gender earnings differentials. Applied Economics, 40(12), 1583-1593. doi: 10.1080/00036840600843970

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