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Poverty in Greece using Small Area Estimation Methods

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  • Stefanos G. Giakoumatos
  • Malapani Eleni

Abstract

In this paper, the Small Area methods are presented. We use this method to produce estimates of poverty in Greece, at county (NUTS3) level. This is succeeded by combining survey data from EU-SILC 2013 with auxiliary data derived from the 2011 Census. In the application section, we adopt the Fay and Herriot model and we provide estimates for the percentage of Greek population under the poverty line in 2013 and also the mean equivalized income.JEL classification numbers: C13, C31, C51Keywords: Small area model, EBLUP, Fay and Herriot model, poverty, EU-SILC

Suggested Citation

  • Stefanos G. Giakoumatos & Malapani Eleni, 2017. "Poverty in Greece using Small Area Estimation Methods," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 6(3), pages 1-3.
    • Handle: RePEc:spt:fininv:v:6:y:2017:i:3:f:6_3_3
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    References listed on IDEAS

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    1. Alessandro Tarozzi & Angus Deaton, 2009. "Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 773-792, November.
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    More about this item

    Keywords

    small area model; eblup; fay and herriot model; poverty; eu-silc;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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