Statistical inference for inequality and poverty measures with dependent data
Schluter, C. and Trede, M. (2002) Statistical inference for inequality and poverty measures with dependent data. International Economic Review, 43, (2), 185-200. (doi:10.1111/1468-2354.t01-1-00024).
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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.
|Digital Object Identifier (DOI):||doi:10.1111/1468-2354.t01-1-00024|
|Subjects:||H Social Sciences > HN Social history and conditions. Social problems. Social reform
H Social Sciences > HA Statistics
|Divisions :||University Structure - Pre August 2011 > School of Social Sciences > Economics
|Accepted Date and Publication Date:||
|Date Deposited:||17 May 2006|
|Last Modified:||31 Mar 2016 11:59|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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