Research

Unpublished

Mobility network models of COVID-19 explain inequities and inform reopening

The coronavirus disease 2019 (COVID-19) pandemic markedly changed human mobility patterns, necessitating epidemiological models that can capture the effects of these changes in mobility on the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here we introduce a metapopulation susceptible–exposed–infectious–removed (SEIR) model that integrates fine-grained, dynamic mobility networks to simulate the spread of SARS-CoV-2 in ten of the largest US metropolitan areas.

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Inequality of Opportunity for Income in Denmark and the United States: A Comparison Based on Administrative Data

We carry out a comparative analysis of inequality of opportunity (IOp) for long-run income in Denmark and the United States. We adopt a luck-egalitarian understanding of IOp, use high-quality administrative data, and rely on highly improved methods. These include novel identification assumptions that allow us to produce set estimates of IOp in the United States relative to Denmark rather than just lower-bound estimates of IOp in the two countries. There are five main results.

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Mobility network models of COVID-19 explain inequities and inform reopening

Inequality of Opportunity for Income in Denmark and the United States: A Comparison Based on Administrative Data

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