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https://doi.org/10.18148/srm/2017.v11i1.6297
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Variance estimation for sensitivity analysis of poverty and inequality measures
[journal article]
Abstract "Estimates of poverty and inequality are often based on application of a single equivalence scale, despite the fact that a large number of different equivalence scales can be found in the literature. This paper describes a framework for sensitivity analysis which can be used to account for the varia... view more
"Estimates of poverty and inequality are often based on application of a single equivalence scale, despite the fact that a large number of different equivalence scales can be found in the literature. This paper describes a framework for sensitivity analysis which can be used to account for the variability of equivalence scales and allows to derive variance estimates of results of sensitivity analysis. Simulations show that this method yields reliable estimates. An empirical application reveals that accounting for both variability of equivalence scales and sampling variance leads to confidence intervals which are wide." (author's abstract)... view less
Keywords
poverty; inequality; estimation; data; analysis
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
equivalence scale; influence function; low income proportion; sensitivity analysis; variance estimation
Document language
English
Publication Year
2017
Page/Pages
p. 81-92
Journal
Survey Research Methods, 11 (2017) 1
ISSN
1864-3361
Status
Published Version; peer reviewed
Licence
Deposit Licence - No Redistribution, No Modifications