Computing power continues to grow at an enormous rate. Simultaneously, more and better data is increasingly available and Machine Learning methods have seen significant breakthroughs in the recent past. All this pushes further the boundary of what machines can do. Nowadays increasingly complex...

Countries with high income inequality also show a strong association between parents ́and childrenś economic well-being; i.e. low intergenerational mobility. This study is the first to test this relationship in a between and within country setup, using harmonized micro data from 18 Latin...

The causes and consequences of the intergenerational persistence of inequality are a topic of great interest among various fields in economics. However, until now, issues of data availability have restricted a broader and cross-national perspective on the topic. Based on rich sets of harmonized...

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...

Using microsimulations, we nowcast the impact of learning losses caused by COVID-19 on secondary school completion rates, intergenerational mobility of education, and long-run earnings inequality in eight countries Sub-Saharan Africa. On average, secondary school completion rates decrease by 12...

We simulate the short- and long-term distributional consequences of COVID-19 in the four largest Latin American economies: Argentina, Brazil, Colombia, and Mexico. We show that the short-term impact on income inequality and poverty can be very significant, but that additional spending on social...

The shock of the COVID-19 pandemic affected the human capital formation of children and youths. As a consequence of this disruption, the pandemic is likely to imply permanent lower levels of human capital. This paper provides new evidence on the impact of COVID-19 and school closures on...

Computing power continues to grow at an enormous rate. Simultaneously, more and better data is increasingly available and Machine Learning methods have seen significant breakthroughs in the recent past. All this pushes further the boundary of what machines can do. Nowadays increasingly complex...