A multilevel structural equation modelling approach to study segregation of deprivation: an application to Bolivia

Temporin, Filippo

doi:10.1007/s11135-018-00832-y

Cited by 2 publications

(1 citation statement)

References 64 publications

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“…Similarly, in Ecuador, it was shown that, despite changes in public policy for poverty eradication, the Indigenous population continues to experience significant limitations in accessing education, health care, and the labour market (Pontarollo et al., 2020). On the other hand, Temporin (2019) points out that in Bolivia, 97.5% (3.4 million) of Indigenous people living in rural areas are poor due to the absence of public programmes that protect them from climate vulnerabilities (such as droughts and floods).…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of poverty among Indigenous people in Mexico's Guerrero Mountain Region

Mora‐Rivera

Fierros‐González

García‐Mora

2023

Development Policy Review

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MotivationThe eradication of poverty is one of Mexico's greatest challenges. This challenge is even greater for Indigenous communities, where seven out of ten people were living in poverty in 2018. Despite the economic, social, and cultural impacts on Indigenous people, little literature has addressed the determinants of Indigenous poverty in Mexico, while studies on the Guerrero Mountain Region (GMR) are practically non‐existent.PurposeThis study aims to identify the socioeconomic and contextual determinants of income and multidimensional poverty in the GMR, one of the poorest regions in Mexico and Latin America, primarily inhabited by Indigenous people.Methods and approachWe use data on 989 individuals in the GMR, collected during the 2018 Socioeconomic Conditions Module of Mexico's National Household Income and Expenditure Survey. To examine the main determinants of individual poverty, we use Bayesian logistic regression (BLR), which allows us to use the data to update information about the parameters and evaluate their distributional properties.The method simplifies multi‐causal elements by classifying them into categories of well‐being that incorporate more than economic factors.FindingsThe income‐poor population is also multidimensionally poor. Education helps to reduce poverty: households that spend more on schooling are less likely to be poor. Households with many members, those with high dependency ratios, and those with members living with disability all tend to be poor. Households with access to landlines and the internet are less likely to be poor.Policy implicationsMore diagnosis of poverty is needed: it should consider overlapping vulnerabilities (institutional, socioeconomic, environmental, and sociocultural) in this region for each Indigenous group. Public policies need to be monitored for performance.

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Section: Literature Reviewmentioning

confidence: 99%

Determinants of poverty among Indigenous people in Mexico's Guerrero Mountain Region

Mora‐Rivera

Fierros‐González

García‐Mora

2023

Development Policy Review

View full text Add to dashboard Cite

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How Does Deprivation Affect Early-Age Mortality? Patterns of Socioeconomic Determinants of Neonatal and Postneonatal Mortality in Bolivia

Temporin

2020

Demography

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Three mechanisms related to household living standards might affect early-age mortality: the absolute level of deprivation, its level relative to the average of the community, and the inequality in the distribution of deprivation within communities. A large body of literature has explored the effect of the absolute level of deprivation, but little research has examined the association between relative deprivation and early-age mortality, and findings related to deprivation inequality are inconsistent. Using 2008 Bolivian Demographic and Health Survey data, this study explores patterns of association between the three factors and mortality occurring in the neonatal and postneonatal periods. Because household-level deprivation might capture some unmeasured characteristics at the community level, such as area-specific investments, this study decomposes household-level deprivation into its between- and within-community components. The results show that after possible confounders are controlled for, community-level absolute deprivation is a significant predictor of neonatal and postneonatal mortality. Relative deprivation and deprivation inequality are not associated with early-age mortality. These findings are specific to a context of widespread deprivation and low inequality within communities; the role of the distribution of deprivation might be more important in countries in which basic needs are met within a bigger proportion of the population. This study helps identify crucial sectors of development related to living standards and deprivation inequality in order to tackle neonatal and postneonatal mortality.

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A multilevel structural equation modelling approach to study segregation of deprivation: an application to Bolivia

Cited by 2 publications

References 64 publications

Determinants of poverty among Indigenous people in Mexico's Guerrero Mountain Region

Determinants of poverty among Indigenous people in Mexico's Guerrero Mountain Region

How Does Deprivation Affect Early-Age Mortality? Patterns of Socioeconomic Determinants of Neonatal and Postneonatal Mortality in Bolivia

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