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Abstract
Using a structural life-cycle model, we quantify the heterogeneous impact of school closures during the corona crisis on children affected at different ages and coming from households with different parental characteristics. In the model, public investment through schooling is combined with parental time and resource investments in the production of child human capital at different stages in the children's development process. We quantitatively characterise the long-term consequences from a COVID-19-induced loss of schooling, and find average losses in the present discounted value of lifetime earnings of the affected children of $2.1\%$, as well as welfare losses equivalent to about $1.2\%$ of permanent consumption. Because of self-productivity in the human capital production function, younger children are hurt more by the school closures than older children. The negative impact of the crisis on children's welfare is especially severe for those with parents with low educational attainment and low assets.

Why are average hours worked per adult lower in rich countries than in poor countries? We consider two natural explanations: income effects in preferences, in which leisure becomes more valuable when income rises, and distortionary tax systems, which are more prevalent in richer countries. To assess the importance of these two forces, we build a simple model of labor supply by heterogeneous individuals and calibrate it to match international data on labor income taxation, government transfers relative to GDP, and hours worked per adult. The model predicts that income effects are the main driving force behind the decline of average hours worked with GDP per capita. We reach a similar conclusion in an extended model that matches cross-country patterns of labor supply along the extensive and intensive margins and of the prevalence of subsistence self-employment.

Why are average hours worked per adult lower in rich countries than in poor countries? We consider two natural explanations: income effects in preferences, in which leisure becomes more valuable when income rises, and distortionary tax systems, which are more prevalent in richer countries. To assess the importance of these two forces, we build a simple model of labor supply by heterogeneous individuals and calibrate it to match international data on labor income taxation, government transfers relative to GDP, and hours worked per adult. The model predicts that income effects are the main driving force behind the decline of average hours worked with GDP per capita. We reach a similar conclusion in an extended model that matches cross-country patterns of labor supply along the extensive and intensive margins and of the prevalence of subsistence self-employment.