Washing machine ownership and girls' school attendance: a cross-sectional analysis of adolescents in 19 middle-income countries [0.03%]
洗衣机拥有量与女孩上学率的关系:对中等收入国家青少年的横断面分析
Omar Karlsson,Jan-Walter De Neve
Omar Karlsson
Excessive work among adolescents may compromise educational development. Without home appliances, household work can take over 50 h a week and an additional 30 h when an infant is present. School-aged girls are often tasked with doing laund...
Collective negative shocks and preferences for redistribution: Evidence from the COVID-19 crisis in Germany [0.03%]
集体负面冲击与再分配偏好:来自德国新冠疫情的证据
Bellani Luna,Fazio Andrea,Scervini Francesco
Bellani Luna
Using new data from a three-wave panel survey administered in Germany between May 2020 and May 2021, this paper studies the impact of a negative shock affecting all strata of the population, such as the development of COVID-19, on preferenc...
COVID-19 and income inequality: evidence from monthly population registers [0.03%]
新冠肺炎与收入不平等:来自月度人口登记册的证据
Nikolay Angelov,Daniel Waldenström
Nikolay Angelov
We measure the distributional impact of the COVID-19 pandemic using newly released population register data in Sweden. Monthly earnings inequality increased during the pandemic, and the key driver is income losses among low-paid individuals...
Guido Matias Cortes,Eliza Forsythe
Guido Matias Cortes
Using data from the Current Population Survey, we investigate the distributional consequences of the Covid-19 pandemic and the associated public policy response on labor earnings and unemployment benefits in the United States up until Febru...
Growing up poor but doing well: Contextual factors that predict academic success [0.03%]
成长环境的影响: contexto因素预测学术成功
Radha Jagannathan,Louis Donnelly,Sara McLanahan et al.
Radha Jagannathan et al.
This paper combines data on family, school, neighborhood, and city contexts with survey data from the Year 9 (n = 2,193) and Year 15 (n = 2, 236) Fragile Families and Child Wellbeing Study to study children in America's inner-cities who are...
Being poor and being NEET in Europe: Are these two sides of the same coin? [0.03%]
欧洲的贫困和隐世青年现象(NEET):它们是同一枚硬币的两面吗?
Chiara Mussida,Dario Sciulli
Chiara Mussida
We implement a dynamic bivariate probit model to explore the possible relation between at-risk-of-poverty and NEET (Not in Employment, Education or Training) in 21 European countries using 2016-2019 European Union Statistics on Income and L...
Disaggregated impacts of off-farm work participation on household vulnerability to food poverty in Ghana [0.03%]
外出务工对减轻加纳家庭食品贫困脆弱性的影响分解研究
Kwabena Nyarko Addai,John N Ngombe,Wencong Lu
Kwabena Nyarko Addai
This study examines disaggregated impacts of participation in off-farm employment on household vulnerability to food poverty in Ghana. We use household-level data collected from smallholder farmers in Ghana. This study employs the multinomi...
The dynamics of poverty in Europe: what has changed after the great recession? [0.03%]
欧洲的贫困动态变化:大衰退之后有什么不同?
Chiara Mussida,Dario Sciulli
Chiara Mussida
This paper provides novel evidence on the importance of the phenomenon of poverty and its heterogeneity across European countries. We analyze the determinants of poverty in Europe and their evolution over time by disentangling the role of g...
Will COVID-19 Have Long-Lasting Effects on Inequality? Evidence from Past Pandemics [0.03%]
新冠肺炎疫情会对不平等产生持久影响吗?来自以往疫情的证据
Davide Furceri,Prakash Loungani,Jonathan D Ostry et al.
Davide Furceri et al.
This paper provides evidence on the impact of major epidemics from the past two decades on income distribution. The pandemics in our sample, even though much smaller in scale than COVID-19, have led to increases in the Gini coefficient, rai...
Shoshana Grossbard,Lucia Mangiavacchi,William Nilsson et al.
Shoshana Grossbard et al.
We analyze the association between spouses' earnings taking account of non-linearities along both spouses' distribution of earnings. We also document the non-linearity of the relationships between earnings and labor force participation, ear...