Using a large-scale survey of U.S. households during the Covid-19 pandemic, we study how new information about fiscal and monetary policy responses to the crisis affects households' expectations. We provide random subsets of participants in the Nielsen Homescan panel with different combinations...

Using a large-scale survey of U.S. households during the Covid-19 pandemic, we study how new information about fiscal and monetary policy responses to the crisis affects households' expectations. We provide random subsets of participants in the Nielsen Homescan panel with different combinations...

Using a large-scale survey of U.S. households during the Covid-19 pandemic, we study how new information about fiscal and monetary policy responses to the crisis affects households' expectations. We provide random subsets of participants in the Nielsen Homescan panel with different combinations...

Using a large-scale survey of U.S. households during the Covid-19 pandemic, we study how new information about fiscal and monetary policy responses to the crisis affects households' expectations. We provide random subsets of participants in the Nielsen Homescan panel with different combinations...

We examine the efficacy of affirmative action at universities whose value depends on peer and alumni networks. We study an elite Brazilian university that adopted race- and income-based affirmative action at a large scale. Using employer-employee data, we show that a key benefit of attending the...

This study combines pre-COVID-19 household surveys with 2020 macro data to simulate changes in household economic welfare and poverty rates through job losses, labor income changes, and non-labor (remittance) income changes during 2020 in Brazil, Sri Lanka, the Philippines, South Africa, and...

As the pandemic spread across the U.S., disagreement among U.S. households about inflation expectations surged along with the mean perceived and expected level of inflation. Simultaneously, the inflation experienced by households became more dispersed. Using matched micro data on spending of...