Measuring the Evolution of Complex Indicators Theory and Application to the Poverty Rate in France

Fabien Dell and Xavier D'Haultfoeuille
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Fabien Dell: Crest

No 2006-11, Working Papers from Center for Research in Economics and Statistics

Abstract: This paper addresses the issue of measuring and testing evolutions of complex indicators inthe framework of survey sampling. This involves the computation of variances of complex statistics,but also of covariances. Indeed, rotating designs may bring important positive correlationsbetween indicators. These correlations are often neglected in testing temporal stability, leading toconclusions deemed to be too conservative. We obtain variances and covariances by adapting thefunctional delta method to survey sampling. The theory is then applied to the evolution of thepoverty rate in France.

Pages: 22
Date: 2006
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Journal Article: Measuring the Evolution of Complex Indicators: Theory and Application to the Poverty Rate in France (2008)
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