Bootstrapping statistical inferences of decomposition methods for gender earnings differentials

Yue Ma and Ying Chu Ng

Applied Economics, 2008, vol. 40, issue 12, 1583-1593

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.

Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840600843970 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:40:y:2008:i:12:p:1583-1593

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036840600843970

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().