Multidimensional poverty in Latin America and the Caribbean: new evidence from the Gallup World Poll

Gasparini, Leonardo; Escudero, Walter Sosa; Marchionni, Mariana; Olivieri, Sergio

doi:10.1007/s10888-011-9206-z

Cited by 30 publications

(59 citation statements)

References 12 publications

(6 reference statements)

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“…Household-income information is also available in the survey, and it is comparable across countries on the basis of computations made by Gasparini, Sosa Escudero, Marchionni, and Olivieri (2008).…”

Section: The Databasementioning

confidence: 99%

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Poverty and psychological distress in Latin America

Rojas

2011

Journal of Economic Psychology

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Section: The Databasementioning

confidence: 99%

“…a The survey provides income range information for household income, household per capita income in US dollars is obtained on the basis of computations made byGasparini et al (2008).…”

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confidence: 99%

Poverty and psychological distress in Latin America

Rojas

2011

Journal of Economic Psychology

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“…For example, Gasparini et al . () and Ferro Luzzi et al . () start with a rather large set of variables that can be seen as alternative measures of an underlying welfare space, and then use factor analytic methods in order to produce a small set of variables (factors) that appropriately capture the variability of welfare.…”

Section: Introductionmentioning

confidence: 90%

Deprivation and the Dimensionality of Welfare: A Variable‐Selection Cluster‐Analysis Approach

Caruso

Sosa-Escudero

Svarc

2014

Review of Income and Wealth

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We approach the problems of measuring the dimensionality of welfare and that of identifying the multidimensionally poor, by first finding the poor using the original space of attributes, and then reducing the welfare space. The starting point is the notion that the “poor” constitutes a group of individuals that are essentially different from the “non‐poor” in a truly multidimensional framework. Once this group has been identified through a clustering procedure, we propose reducing the dimension of the original welfare space using recent blinding methods for variable selection. We implement our approach to the case of Latin America based on the Gallup World Poll, which contains ample information on many dimensions of welfare.

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“…Studies that follow this second approach include, for instance, Young (2012), Batana (2013), Gasparini et al (2013), and Yu (2013).…”

Section: Introductionmentioning

confidence: 99%

Poverty, richness, and inequality: Evidence for Portugal using a housing comfort index

Fernandes

Crespo

Simões

2017

JEM

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Abstract:With data for Portugal we propose an index of housing comfort based on the Household Budget Survey. This index covers housing and durable goods grouped in two dimensions: basic comfort and complementary comfort. Taking this index as starting point we make two contributions. First we quantify the phenomena of poverty, richness, and inequality in housing comfort. Second, using an ordered probit model, we evaluate the determinants of housing comfort in Portugal. The results show significant rates of poverty (12.41%) and richness (22.03%). The evidence sustains that the differences between households derive mainly from complementary comfort and to a lesser extent from basic comfort items. Inequality in housing comfort, measured by the Gini coefficient, stands at 0.1263. The econometric study reveals that the region of residence of the household and the educational level and labor market state of the household reference person are among the most critical determinant factors of housing comfort.

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Multidimensional poverty in Latin America and the Caribbean: new evidence from the Gallup World Poll

Cited by 30 publications

References 12 publications

Poverty and psychological distress in Latin America

Poverty and psychological distress in Latin America

Deprivation and the Dimensionality of Welfare: A Variable‐Selection Cluster‐Analysis Approach

Poverty, richness, and inequality: Evidence for Portugal using a housing comfort index

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