 Lorenz Curve Inference with Sample Weights: An Application to the Distribution of Unemployment ExperienceC. M. Beach and Stephan Kaliski Journal of the Royal Statistical Society Series C, 1986, vol. 35, issue 1, 38-45 Abstract: This paper extends the recent methodology of Beach and Davidson, 1983, on performing statistical inference with Lorenz curves and quantile shares to samples which involve weighted observations. Examples of such survey samples are the Current Population Survey in the United States, the Survey of Personal Incomes in the U.K. and the Labour Force Survey in Canada. The paper presents an efficient computational algorithm and provides appropriate inference formulas (equations (1 )‐(3)) which are directly applicable to standard national surveys. An example is presented that involves a novel application of Lorenz curves to the distribution of unemployment experience. This allows one to analyze in disaggregative fashion the distribution of the burden of unemployment across workers in the economy. The distribution of unemployment is shown to be highly unequal and to differ significantly between men and women, particularly among those experiencing the least and greatest amounts of unemployment. Date: 1986 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:35:y:1986:i:1:p:38-45 Ordering information: This journal article can be ordered from Access Statistics for this article Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC. |
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