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Hardly any evidence exists on the effects of mental distress on refugee labor outcomes. We offer the first study on this topic in the context of Australia, one of the host countries with the largest number of refugees per capita in the world. Analyzing the Building a New Life in Australia longitudinal survey, we exploit the variations in traumatic experiences of refugees interacted with post-resettlement time periods to causally identify the impacts of refugee mental health. We find that worse mental health, as measured by a one-standard-deviation increase in the Kessler mental health score, reduces the probability of employment by 11.9% and labor income by 22.8%. These effects appear more pronounced for refugees that newly arrive or are without social networks, but they may be ameliorated with government support. These findings have significant implications for the development of health and labor policies, particularly regarding the integration of refugees within host countries.
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Trastornos Mentales , Refugiados , Humanos , Salud Mental , Refugiados/psicología , Trastornos Mentales/psicología , Estudios Longitudinales , AustraliaRESUMEN
Despite its low middle-income status, Vietnam has been widely praised for its success in the fight against early waves of the COVID-19 pandemic, with a low mortality rate of approximately 100 deaths out of a population of less than 100 million by the end of 2020. We add to the emerging literature on COVID-19 effects on the labor market for poorer countries by analyzing rich individual-level data from Vietnam's Labor Force Surveys spanning 2015 to 2020. We find post-pandemic increases in unemployment and temporary layoff rates alongside decreases in employment quality. Monthly wages declined even as the proportion of workers receiving below-minimum wages substantially increased, contributing to sharply rising wage inequality. Our findings suggest that more resources should be allocated to protect vulnerable workers, especially as the pandemic continues to cause increasingly severe damage to the global economy.
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The COVID-19 outbreak has brought unprecedented disruptions to the global economies and has led to income loss and high unemployment rates. But scant, if any, evidence exists on gender gaps in economic outcomes such as income, expenditure, savings, and job loss in a multi-country setting. We investigate the impacts of COVID-19 on gender inequality in these outcomes using data from a six-country survey that covers countries in different geographical locations and at various income levels. Our findings suggest that women are 24 percent more likely to permanently lose their job than men because of the outbreak. Women also expect their labor income to fall by 50 percent more than men do. Perhaps because of these concerns, women tend to reduce their current consumption and increase savings. Factors such as the different participation rates in work industries for men and women may take an important part in explaining these gender gaps. Our estimates also point to country heterogeneity in these gender differences that is likely due to varying infection rates and shares of women in the labor force.
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Given its modest position as a lower-middle income country, Vietnam stands out from the rest of the world with its remarkable performance on standardized test scores, school enrollment, and completed years of schooling. We provide an overview of the factors behind this exemplary performance both from an institutional viewpoint and by analyzing several different data sources, some of which have rarely been used. Some of the highlights are universal primary school enrollment, higher girls' net enrollment rates, and the role of within-commune individual factors. We further discuss a host of challenges for the country-most of which have received insufficient attention to date.
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BACKGROUND: Research, mainly conducted in Europe and North America, has shown an inequitable burden of internalising mental health problems among adolescents from poorer households. We investigated whether these mental health inequalities differ across a diverse range of countries and multiple measures of economic circumstances. METHODS: In this longitudinal observational cohort study, we analysed data from studies conducted in eight countries (Australia, Ethiopia, India, Mexico, Peru, South Africa, the UK, and Viet Nam) across five global regions. All studies had self-reported measures of internalising symptoms using a validated scale at two timepoints in adolescence; a measure of household income, household consumption expenditure, or subjective wealth; and data collected between 2000 and 2019. Household income (measured in four countries), consumption expenditure (six countries), and adolescents' subjective assessment of household wealth (five countries) were measured in mid-adolescence (14-17 years). The primary outcome (internalising symptoms, characterised by negative mood, affect, and anxiety) was measured later in adolescence between age 17 and 19 years. Analyses were linear regression models with adjustment. Effect estimates were added to random-effects meta-analyses to aid understanding of cross-country differences. FINDINGS: The overall pooled sample of eight studies featured 18â910 adolescents (9568 [50·6%] female and 9342 [49·4%] male). Household income had a small or null association with adolescents' internalising symptoms. Heterogeneity (I2 statistic) was 71·04%, falling to 39·71% after adjusting for baseline symptoms. Household consumption expenditure had a stronger association with internalising symptoms (decreases of 0·075 SD in Peru [95% CI -0·136 to -0·013], 0·034 SD in South Africa [-0·061 to -0·006], and 0·141 SD in Viet Nam [-0·202 to -0·081] as household consumption expenditure doubled). The I2 statistic was 74·24%, remaining similar at 74·83% after adjusting for baseline symptoms. Adolescents' subjective wealth was associated with internalising symptoms in four of the five countries where it was measured. The I2 statistic was 57·09% and remained similar after adjusting for baseline symptoms (53·25%). We found evidence for cross-country differences in economic inequalities in adolescents' internalising symptoms, most prominently for inequalities according to household consumption expenditure. Subjective wealth explained greater variance in symptoms compared with the objective measures. INTERPRETATION: Our study suggests that economic inequalities in adolescents' mental health are prevalent in many but not all countries and vary by the economic measure considered. Variation in the magnitude of inequalities suggests that the wider context within countries plays an important role in the development of these inequalities. FUNDING: Wellcome Trust.
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Factores Socioeconómicos , Humanos , Adolescente , Masculino , Femenino , Estudios Longitudinales , Reino Unido/epidemiología , México/epidemiología , Sudáfrica/epidemiología , Perú/epidemiología , Australia/epidemiología , India/epidemiología , Etiopía/epidemiología , Vietnam/epidemiología , Adulto Joven , Renta/estadística & datos numéricos , Disparidades en el Estado de Salud , Ansiedad/epidemiologíaRESUMEN
Strong statistical capacity is a prerequisite for producing reliable statistics that helps monitor a country's governance and economic performance. This is particularly relevant for a large number of poorer countries, which have weaker statistical capacity but have to rely more on these statistics for various objectives such as monitoring poverty reduction or reporting to international donors. We present the Statistical Performance Indicators and Index (SPI) as the World Bank's new official tool to measure country statistical capacity. The SPI is conceptually motivated, builds on a mathematical foundation, and significantly expands the number of indicators and the number of covered countries compared to its predecessor. The new index has a strong correlation with other common development indicators such as GDP per capita, governance, human capital, poverty, and inequality. It can also accommodate future improvements as the global data landscape evolves.
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While urbanization has great potential to facilitate poverty reduction, climate shocks represent a looming threat to such upward mobility. This paper empirically analyzes the effects of climatic risks on the function of urban agglomerations to support poor households' escape from poverty. Combining household surveys with climatic datasets, our analyses of Chile, Colombia, and Indonesia find that households in large metropolitan areas are more likely to escape from poverty, indicating better access to economic opportunities in those areas. However, climate shocks such as extreme rainfalls and high flood risks significantly reduce upward mobility, thus offsetting such benefits of urban agglomerations. The findings underscore the need to enhance resilience among the urban poor to allow them to fully utilize the benefits of urban agglomerations.
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Cambio Climático , Pobreza , Humanos , Colombia , Chile , Población Urbana , Indonesia , Ascensores y Escaleras MecánicasRESUMEN
Despite a deep literature studying the impact of inequality on policy outcomes, there has been limited effort to bring these insights into the debates about comparative support for government responses to the COVID-19 pandemic. We fill this gap by analyzing rich survey data at the beginning of the pandemic in April 2020 from six countries spanning different income levels and geographical locations-China, Italy, Japan, South Korea, the United Kingdom, and the United States. We find that poorer individuals are less supportive of government responses. Furthermore, poorer individuals residing in more economically unequal countries offer even less government support. We also find that both economic and non-economic factors could affect the poor's decisions to support stringent government policies. These findings suggest that greater transfers to the poor may offer an option to help increase support for strict policies and may reduce the potential deepening of social inequalities caused by the pandemic.
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COVID-19 , COVID-19/epidemiología , China/epidemiología , Gobierno , Humanos , Pandemias/prevención & control , Factores Socioeconómicos , Estados UnidosRESUMEN
Despite a growing literature on the impacts of the COVID-19 pandemic, scant evidence currently exists on its impacts on air quality. We offer an early assessment with cross-national evidence on the causal impacts of COVID-19 on air pollution. We assemble a rich database consisting of daily, sub-national level data of air quality for 164 countries before and after the COVID-19 lockdowns and we analyze it using a Regression Discontinuity Design approach. We find the global concentration of NO2 and PM2.5 to decrease by 5 percent and 4 percent, respectively, using data-driven optimal bandwidth selection. These results are consistent across measures of air quality and data sources and robust to various model specifications and placebo tests. We also find that mobility restrictions following the lockdowns are a possible explanation for improved air quality.
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The development of human capabilities for many disadvantaged children around the world depends on growth recovery ('catch-up growth'). Here we develop a novel framework that allows different types of catch-up growth to be classified and estimated. We distinguish between catch-up in the mean of a group toward that of a healthy reference population versus catch-up within the group. We show these different growth types can be tested in a unified setting using a latent growth framework. We apply the results to four developing countries, using longitudinal data on 7641 children collected over the period 2002-2013. The results show catch-up growth rates are generally modest but vary significantly between countries, and that local environmental factors are material to variation in child growth trajectories. The paper discusses the benefits of the new framework versus current methods, shows that the method is feasible, and suggests they call for intervention designs that are sensitive to community and country contexts.