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Estimation of poverty measures with auxiliary information in sample surveys

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  • María Mar Rueda

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  • Juan Muñoz
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    Abstract

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    File URL: http://hdl.handle.net/10.1007/s11135-009-9279-y
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    Bibliographic Info

    Article provided by Springer in its journal Quality & Quantity.

    Volume (Year): 45 (2011)
    Issue (Month): 3 (April)
    Pages: 687-700

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    Handle: RePEc:spr:qualqt:v:45:y:2011:i:3:p:687-700

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    Web page: http://www.springer.com/economics/journal/11135

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    Related research

    Keywords: Auxiliary information; Empirical likelihood; Jackknife and bootstrap methods; Poverty; Wage inequality;

    References

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    1. M. Rueda & J. Muñoz & Y. Berger & A. Arcos & S. Martínez, 2007. "Pseudo empirical likelihood method in the presence of missing data," Metrika, Springer, vol. 65(3), pages 349-367, May.
    2. Kahn, Lawrence M, 1998. "Collective Bargaining and the Interindustry Wage Structure: International Evidence," Economica, London School of Economics and Political Science, vol. 65(260), pages 507-34, November.
    3. Denis H. Y. Leung & Jing Qin, 2006. "Analysing survey data with incomplete responses by using a method based on empirical likelihood," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(3), pages 379-396.
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    Cited by:
    1. Tim Goedemé, 2013. "How much Confidence can we have in EU-SILC? Complex Sample Designs and the Standard Error of the Europe 2020 Poverty Indicators," Social Indicators Research, Springer, vol. 110(1), pages 89-110, January.

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