Decomposition Methods in Economics
Thomas Lemieux () and
Chapter 01 in Handbook of Labor Economics, 2011, vol. 4A, pp 1-102 from Elsevier
This chapter provides a comprehensive overview of decomposition methods that have been developed since the seminal work of Oaxaca and Blinder in the early 1970s. These methods are used to decompose the difference in a distributional statistic between two groups, or its change over time, into various explanatory factors. While the original work of Oaxaca and Blinder considered the case of the mean, our main focus is on other distributional statistics besides the mean, such as quantiles, the Gini coefficient or the variance. We discuss the assumptions required for identifying the different elements of the decomposition, as well as various estimation methods proposed in the literature. We also illustrate how these methods work in practice by discussing existing applications and working through a set of empirical examples throughout the paper.
Keywords: Decomposition; Counterfactual distribution; Inequality; Wage structure; Wage differentials (search for similar items in EconPapers)
JEL-codes: J0 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (57) Track citations by RSS feed
Downloads: (external link)
http://www.sciencedirect.com/science/article/B7P5V ... 580e2c5321932b6db30b
Full text for ScienceDirect subscribers only
Working Paper: Decomposition Methods in Economics (2010)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:eee:labchp:4-01
Access Statistics for this chapter
More chapters in Handbook of Labor Economics from Elsevier
Series data maintained by Zhang, Lei ().