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Variance estimation techniques for poverty and inequality measures from complex surveys: a simulation study

Author

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  • Riccardo De Santis
  • Lucio Barabesi
  • Gianni Betti

Abstract

The theme of variance estimation is central in sampling surveys, due to the necessity of furnishing a measure of accuracy for the estimates. In the ambit of social surveys, where we have to face with complex designs and complex statistics, it may be a major issue. To solve this matter, two main approaches can be found in the literature, and both have advantages and disadvantages. However, linearization methods can be safely used in a design-based approach. On the contrary, resampling methods are introduced only in a model-based approach, which means that the properties have to be assessed. Furthermore, some approximations are required. Therefore, we decide to conduce a simulation study by the use of a complete population available. We will focus on some poverty measures considered by the statistical office of the European Union

Suggested Citation

  • Riccardo De Santis & Lucio Barabesi & Gianni Betti, 2020. "Variance estimation techniques for poverty and inequality measures from complex surveys: a simulation study," Department of Economics University of Siena 829, Department of Economics, University of Siena.
    • Handle: RePEc:usi:wpaper:829
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    File URL: http://repec.deps.unisi.it/quaderni/829.pdf
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    Cited by:

    1. Silvia De Nicol`o & Maria Rosaria Ferrante & Silvia Pacei, 2021. "Mind the Income Gap: Bias Correction of Inequality Estimators in Small-Sized Samples," Papers 2107.08950, arXiv.org, revised May 2023.

    More about this item

    Keywords

    variance estimation; poverty measures; simulation study;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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