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).
CPI Research
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.
We use 10 years of California administrative data with a regression kink design to estimate the causal impacts of benefits in the first state‐level paid family leave program for women with earnings near the maximum benefit threshold.
Residential selection is central in determining children’s housing, neighborhood, and school contexts, and an extensive literature considers the social processes that shape residential searches and attainment.
Drawing on firm-level expectations at a one-year forecast horizon in the Survey of Business Uncertainty (SBU), we construct novel, forward-looking reallocation measures for jobs and sales.
Uncertainty rises in recessions and falls in booms. But what is the causal relationship? We construct cross-country panel data on stock market levels and volatility and use natural disasters, terrorist attacks, and political shocks as instruments in regressions and VAR estimations.
There is widespread concern that economics does not attract as broad or diverse a pool of talent as it could. For example, less than one-third of undergraduates who receive degrees in economics are women, significantly lower than in math or statistics.
Assessing the economic impact of the COVID-19 pandemic is essential for policymakers, but challenging because the crisis has unfolded with extreme speed.
We conduct a comparative welfare analysis of 133 historical policy changes over the past half-century in the United States, focusing on policies in social insurance, education and job training, taxes and cash transfers, and in-kind transfers.
We construct publicly available statistics on parents’ incomes and students’ earnings outcomes for each college in the United States using deidentified data from tax records.