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Estimation of poverty measures with auxiliary information in sample surveys


  • María Mar Rueda


  • Juan Muñoz


No abstract is available for this item.

Suggested Citation

  • María Mar Rueda & Juan Muñoz, 2011. "Estimation of poverty measures with auxiliary information in sample surveys," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(3), pages 687-700, April.
  • Handle: RePEc:spr:qualqt:v:45:y:2011:i:3:p:687-700
    DOI: 10.1007/s11135-009-9279-y

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    References listed on IDEAS

    1. 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.
    2. M. Rueda & J. Muñoz & Y. Berger & A. Arcos & S. Martínez, 2007. "Pseudo empirical likelihood method in the presence of missing data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 65(3), pages 349-367, May.
    3. 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 507-534, November.
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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: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(1), pages 89-110, January.
    2. J. Muñoz & E. Álvarez-Verdejo & R. García-Fernández & L. Barroso, 2015. "Efficient Estimation of the Headcount Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(3), pages 713-732, September.


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