封锁后果的代际传递:COVID-19在拉丁美洲长期持续的预测

IF 3.6 3区 经济学 Q1 ECONOMICS Journal of Economic Inequality Pub Date : 2021-07-31 DOI:10.2139/ssrn.3871651
Guido Neidhöfer, N. Lustig, M. Tommasi
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引用次数: 30

摘要

COVID-19对人力资本造成的冲击可能会产生长期的影响,特别是对受教育程度低的家庭的儿童。我们运用反事实方法,预测了学校关闭和其他封锁政策对17个拉丁美洲国家教育代际持续性的影响。首先,我们检索有关学校封锁和各国为支持国内教育而制定的政策的详细信息。然后,我们使用这些信息来估计大流行对学校教育、高中毕业和代际关联的潜在影响。此外,我们还考虑了与家庭收入冲击相关的教育中断。我们的研究结果表明,尽管缓解政策能够在一定程度上减少一些国家的教学损失,但最弱势群体的受教育程度可能受到严重影响。特别是,来自低教育家庭的孩子获得中等教育学位的可能性可能会大幅下降。
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Intergenerational transmission of lockdown consequences: prognosis of the longer-run persistence of COVID-19 in Latin America
The shock on human capital caused by COVID-19 is likely to have long lasting consequences, especially for children of low-educated families. Applying a counterfactual exercise we project the effects of school closures and other lockdown policies on the intergenerational persistence of education in 17 Latin American countries. First, we retrieve detailed information on school lockdowns and on the policies enacted to support education from home in each country. Then, we use these information to estimate the potential impact of the pandemic on schooling, high school completion, and intergenerational associations. In addition, we account for educational disruptions related to household income shocks. Our findings show that, despite that mitigation policies were able to partly reduce instructional losses in some countries, the educational attainment of the most vulnerable could be seriously affected. In particular, the likelihood of children from low educated families to attain a secondary schooling degree could fall substantially.
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来源期刊
CiteScore
3.60
自引率
8.30%
发文量
39
期刊介绍: The Journal of Economic Inequality provides a forum for analysis of ''economic inequality'', broadly defined. Its scope includes: ·         Theoretical and empirical analysis·         Monetary measures of ''well-being'' such as earnings, income, consumption, and wealth; non-monetary measures such as educational achievement and health and health care; multidimensional measures·         Inequality and poverty within and between countries, and globally, and their trends over time·         Inequalities of opportunity·         Income mobility and poverty persistence·         The factor distribution of income·         Differences in ''well-being'' between socioeconomic groups, for example between men and women, generations, or ethnic groups·         The effects of inequality on macroeconomic and other phenomena, and vice versa·         Related statistical methods and data issues ·         Related policy analysis  Papers need to prioritize the ''economic inequality'' dimension. For example, papers about trade and inequality, or inequality and growth, should not primarily be about trade or growth (in which case they should target a different journal). The same is true for papers considering the inter-relationships between the income distribution and the labour market, public policy, or demography.  Officially cited as: J Econ Inequal
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