Journal of Economic Inequality最新文献

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 February 2021. We find that year-on-year changes in labor earnings for employed individuals were not atypical during the pandemic months, regardless of their initial position in the earnings distribution. The incidence of job loss, however, was substantially higher among low earners, leading to a dramatic increase in labor income inequality among the set of individuals who were employed prior to the onset of the pandemic. By providing very high replacement rates for individuals displaced from low-paying jobs, the initial public policy response was successful in reversing the regressive nature of the pandemic's impacts. We estimate, however, that recipiency rates for displaced low earners were lower than for higher earners. Moreover, from September 2020 onwards, when policy changes led to a decline in benefit levels, earnings changes became less progressive.

Supplementary information: The online version contains supplementary material available at 10.1007/s10888-022-09552-8.

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 preferences for redistribution. Exploiting the plausibly exogenous change in the severity of the infection rate at the county level, we show that, contrary to some theoretical expectations, the worse the crisis, the less our respondents expressed support for redistribution. We provide further evidence that this is not driven by a decrease in inequality aversion but might be driven by the individuals' level of trust.

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 while middle- and high-income earners were almost unaffected. In terms of employment, as measured by having positive monthly earnings, the pandemic had a larger negative impact on private-sector workers and on women. In terms of earnings conditional on being employed, the effect was still more negative for women, but less negative for private-sector workers compared to publicly employed. Using data on individual take-up of government COVID-19 support, we show that policy significantly dampened the inequality increase, but did not fully offset it. Annual total market income inequality, which also includes capital income and taxable transfers, shows similar patterns of increasing inequality during the pandemic.

Supplementary information: The online version contains supplementary material available at 10.1007/s10888-022-09560-8.

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 "beating the odds". We identify children as beating the odds if they were born to families of low socio-economic status but scored above the state average in reading, vocabulary and math at age 9, and were academically on-track by age 15. We also examine if the influences of these contexts are developmentally nuanced. We find that living in two parent households where harsh parenting methods are absent (family context) and living in neighborhoods where two parent families predominate (neighborhood context) are protective factors that help children beat the odds. We also find that city-wide contexts of higher levels of religiosity and fewer single parent households contribute to children beating the odds, however, these macro predictors are weaker when compared with family/neighborhood contexts. We find that these contextual effects are indeed developmentally nuanced. We conclude with a discussion of some interventions and policies that could help increase the number of at-risk children who beat the odds.

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 Living Conditions panel data. We identify genuine state dependence and account for possible feedback effects from past poverty to the NEET status. We also consider two alternative definitions of NEET, i.e. unemployed and inactive NEET and inactive NEET only. We find that both poverty and NEET are characterized by significant genuine state dependence. We also observe a vicious circle between the phenomena, especially when adopting the definition that includes unemployed and inactive NEETs. This suggests a leading role of unemployment in the detrimental effect of being NEET on poverty. We offer supplementary analyses and further insights on country heterogeneity by looking at the role of social protection expenditure. Finally, we stress that for young NEETS living outside of the family of origin, the NEET condition is not detrimental for poverty, conditional on the provision of adequate youth support.

Supplementary information: The online version contains supplementary material available at 10.1007/s10888-022-09561-7.

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 multinomial endogenous switching regression model to account for selection bias due to both observed and unobserved heterogeneity. Our results indicate that participation in off-farm employment activities, such as petty trading, significantly decreases household vulnerability to food poverty. Our findings further show that households that do participate in arts and crafts as an off-farm activity are more vulnerable to food poverty had they not participated. This paper provides useful policy insights to enable smallholders involved in off-farm work activities to improve food consumption expenditure and reduce their risk of food poverty.