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      Gender inequality and gender-based poverty in Mexico

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          Abstract

          The objective of a country's government is to increase the well-being of its population. For this reason, a precise measure of inequality and poverty contributes to better development of economic and public policies to reduce the former and latter, respectively. Therefore, in recent years, various indexes have been developed to measure and compare inequality and poverty. In the case of Mexico, the Gini and Theil indexes are used to measure both problems. However, they are criticized for the overvaluation that they generate on specific population segments. For a better measurement, this paper calculates and investigates the relationship between the Palma index (inequality) and the Foster, Greer, and Thorbecke index (poverty). In addition to reducing the overvaluation problem, the indexes mentioned allow us to perform an analysis by gender and employment type (salaried and self-employed). The main results do not diverge from those already found through traditional measures. In general, a high level of inequality exists. However, our paper contributes to the literature by identifying both problems by gender. Men present greater inequality than women, whereas women present greater poverty than men. Finally, a positive, albeit weak, correlation exists between both problems, which means that poverty can be combated by combating inequality.

          Abstract

          Inequality; Poverty; Palma index; FGT index; Social Sciences; Economics; Economic Development.

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          Most cited references35

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          Poverty and disability in low- and middle-income countries: A systematic review

          Introduction Disability and poverty are believed to operate in a cycle, with each reinforcing the other. While agreement on the existence of a link is strong, robust empirical evidence substantiating and describing this potential association is lacking. Consequently, a systematic review was undertaken to explore the relationship between disability and economic poverty, with a focus on the situation in low and middle income countries (LMICs). Methods Ten electronic databases were searched to retrieve studies of any epidemiological design, published between 1990-March 2016 with data comparing the level of poverty between people with and without disabilities in LMICs (World Bank classifications). Poverty was defined using economic measures (e.g. assets, income), while disability included both broad assessments (e.g. self-reported functional or activity limitations) and specific impairments/disorders. Data extracted included: measures of association between disability and poverty, population characteristics and study characteristics. Proportions of studies finding positive, negative, null or mixed associations between poverty and disability were then disaggregated by population and study characteristics. Results From the 15,500 records retrieved and screened, 150 studies were included in the final sample. Almost half of included studies were conducted in China, India or Brazil (n = 70, 47%). Most studies were cross-sectional in design (n = 124, 83%), focussed on specific impairment types (n = 115, 77%) and used income as the measure for economic poverty (n = 82, 55%). 122 studies (81%) found evidence of a positive association between disability and a poverty marker. This relationship persisted when results were disaggregated by gender, measure of poverty used and impairment types. By country income group at the time of data collection, the proportion of country-level analyses with a positive association increased with the rising income level, with 59% of low-income, 67% of lower-middle and 72% of upper-middle income countries finding a positive relationship. By age group, the proportion of studies reporting a positive association between disability and poverty was lowest for older adults and highest for working-age adults (69% vs. 86%). Conclusions There is strong evidence for a link between disability and poverty in LMICs and an urgent need for further research and programmatic/policy action to break the cycle.
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            Homogeneous Middles vs. Heterogeneous Tails, and the End of the ‘Inverted-U’: It's All About the Share of the Rich

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              Exposure to inequality affects support for redistribution.

              The distribution of wealth in the United States and countries around the world is highly skewed. How does visible economic inequality affect well-off individuals' support for redistribution? Using a placebo-controlled field experiment, I randomize the presence of poverty-stricken people in public spaces frequented by the affluent. Passersby were asked to sign a petition calling for greater redistribution through a "millionaire's tax." Results from 2,591 solicitations show that in a real-world-setting exposure to inequality decreases affluent individuals' willingness to redistribute. The finding that exposure to inequality begets inequality has fundamental implications for policymakers and informs our understanding of the effects of poverty, inequality, and economic segregation. Confederate race and socioeconomic status, both of which were randomized, are shown to interact such that treatment effects vary according to the race, as well as gender, of the subject.
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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                31 January 2020
                January 2020
                31 January 2020
                : 6
                : 1
                : e03322
                Affiliations
                [a ]Universidad de Monterrey (UDEM), Business School, Department of Economics, Mexico
                [b ]UPAEP-University, Deanship of Graduate Programs in Engineering and Business, Mexico
                [c ]Universidad Panamericana, Guadalajara Campus, Panamerican Institute of Family Sciences, Mexico
                Author notes
                []Corresponding author. minerva.ramos@ 123456udem.edu
                Article
                S2405-8440(20)30167-5 e03322
                10.1016/j.heliyon.2020.e03322
                7002885
                0a20853c-550c-49b2-b677-f8ece2a02be4
                © 2020 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 2 February 2019
                : 5 August 2019
                : 24 January 2020
                Categories
                Article

                inequality,poverty,palma index,fgt index,social sciences,economics,economic development

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