How to Assess the Child Poverty and Distributional Impact of COVID-19 Using Household Budget Surveys: An Application Using Turkish Data

Aran, Meltem A.; Aktakke, Nazli; Kibar, Zehra Sena; Üçkardeşler, Emre

doi:10.1057/s41287-021-00451-8

“…The COVIDiSTRESS Global Survey (https://osf.io/2ftma/) was one of the largest studies regarding the global impact of COVID-19 during the initial months of the 2020 pandemic [1][2][3] . While other large-scale studies regarding the psychological impact of COVID-19 exist, most either focused on specific subsets of the population 4 or specific countries [5][6][7][8] . The COVID-19 Global Survey was translated into 47 languages and administered in 179 countries.…”

Section: Background and Summarymentioning

confidence: 99%

COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

Blackburn¹,

Vestergren²

2021

Preprint

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During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy.

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The Dynamics of Inequality and Poverty Among Children in Colombia During the COVID-19 Recession

Wang,

Chen,

Lin

et al. 2024

Child Ind Res

0

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This study examines the impact of the COVID-19 pandemic on the income, inequality, and poverty levels among Colombian children between 2019 and 2020, using data from the Luxembourg Income Study Database. The income distribution and changes among Colombian children are analyzed using the probability density function and growth incidence curve. The paper utilizes the Foster–Greer–Thorbecke methodology to measure child poverty in Colombia, decomposes the contributions of different subgroups to child poverty and its changes, and conducts a growth-distribution decomposition of changes in child poverty. The study also employs income-source decomposition to examine the contributions of different income sources to child inequality and its changes. The results show that Colombian children experienced a decline in income, an increase in inequality, and higher levels of poverty during the COVID-19 pandemic. Children from households with higher dependency ratios and those living in rural areas were more likely to experience poverty. The main driver of increased poverty among Colombian children was decreased income, and there was a significant worsening of inequality for ultra-poor children. Labor income emerged as the primary source of inequality and its changes, whereas capital income and private transfers played a role in reducing poverty. However, public social benefits slightly increased inequality levels. Overall, the recession caused by the COVID-19 pandemic is antipoor but pro-ultra-poor. To address similar recessions in the future, the government should expand public transfer payments especially programs targeting children to reduce income inequality and alleviate poverty among children, and bolster the provision of public services essential for children’s development.

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COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

Blackburn

¹

,

Vestergren

²

,

Tran³

et al. 2022

View full text Add to dashboard Cite

During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy.

show abstract

How to Assess the Child Poverty and Distributional Impact of COVID-19 Using Household Budget Surveys: An Application Using Turkish Data

Cited by 3 publications

References 20 publications

COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

The Dynamics of Inequality and Poverty Among Children in Colombia During the COVID-19 Recession

COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

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