Disparities in economic welfare, inequality and poverty across and within countries are of great interest to sociologists, economists, researchers, social organizations and political scientists. Information about these topics is commonly based on surveys. We present a package called rtip that implements techniques based on stochastic dominance to make unambiguous comparisons, in terms of welfare, poverty and inequality, among income distributions. Besides providing point estimates and confidence intervals for the most commonly used indicators of these characteristics, the package rtip estimates the usual Lorenz curve, the generalized Lorenz curve, the TIP (Three I’s of Poverty) curve and allows to test statistically whether one curve is dominated by another.
Supplementary materials are available in addition to this article. It can be downloaded at RJ-2018-029.zip
OfficialStatistics, Econometrics, Optimization, SocialSciences, Survival, TimeSeries
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For attribution, please cite this work as
Berihuete, et al., "Welfare, Inequality and Poverty Analysis with rtip: An Approach Based on Stochastic Dominance", The R Journal, 2018
BibTeX citation
@article{RJ-2018-029,
author = {Berihuete, Angel and Ramos, Carmen D. and Sordo, Miguel A.},
title = {Welfare, Inequality and Poverty Analysis with rtip: An Approach Based on Stochastic Dominance},
journal = {The R Journal},
year = {2018},
note = {https://doi.org/10.32614/RJ-2018-029},
doi = {10.32614/RJ-2018-029},
volume = {10},
issue = {1},
issn = {2073-4859},
pages = {328-341}
}