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

Working paper N. 829 Maggio 2020

Riccardo De Santis

DEPS, USiena

Lucio Barabesi

DEPS, USiena

Gianni Betti

DEPS, USiena


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


variance estimation; poverty measures; simulation study

Jel Codes

C15, I32, C83