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Statistical inference for inequality and poverty measures with dependent data

Record type: Article

This article is about statistical inference for inequality and poverty measures when income data exhibit contemporaneous dependence across members of the same household. While much empirical research is based on household survey data such as the PSID, standard methods assume that income is an independent and identically distributed random variable. Applying them to contemporaneously dependent data produces biased results, and Monte Carlo experiments reveal that their confidence intervals are too narrow. By contrast, our proposed distribution-free estimators perform well.

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Citation

Schluter, C. and Trede, M. (2002) Statistical inference for inequality and poverty measures with dependent data International Economic Review, 43, (2), pp. 185-200. (doi:10.1111/1468-2354.t01-1-00024).

More information

Published date: May 2002

Identifiers

Local EPrints ID: 33356
URI: http://eprints.soton.ac.uk/id/eprint/33356
ISSN: 0020-6598
PURE UUID: ecc6ea68-a3f7-44f3-8e97-93e35481163e

Catalogue record

Date deposited: 17 May 2006
Last modified: 17 Jul 2017 15:53

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Contributors

Author: C. Schluter
Author: M. Trede

University divisions


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