The R Journal: accepted article

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Welfare, Inequality and Poverty Analysis with rtip: An Approach Based on Stochastic Dominance PDF download
Angel Berihuete, Carmen D. Ramos and Miguel A. Sordo

Abstract 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 the 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.

Received: 2017-07-25; online 2018-05-21, supplementary material, (2.2 Kb)
CRAN packages: rtip, IC2, ineq, laeken, boot
CRAN Task Views implied by cited CRAN packages: OfficialStatistics, Econometrics, Optimization, SocialSciences, Survival, TimeSeries


CC BY 4.0
This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2018-029,
  author = {Angel Berihuete and Carmen D. Ramos and Miguel A. Sordo},
  title = {{Welfare, Inequality and Poverty Analysis with rtip: An
          Approach Based on Stochastic Dominance}},
  year = {2018},
  journal = {{The R Journal}},
  url = {https://journal.r-project.org/archive/2018/RJ-2018-029/index.html}
}