We use two surveys to assess why work from home (WFH) varies so much across countries and people. A measure of cultural individualism accounts for about one-third of the cross-country variation in WFH rates. Australia, Canada, the UK, and the US score highly on individualism and WFH rates,...

The pandemic triggered a large, lasting shift to work from home (WFH). To study this shift, we survey full-time workers who finished primary school in 27 countries as of mid 2021 and early 2022. Our cross-country comparisons control for age, gender, education, and industry and treat the U.S....

We quantify the commute time savings associated with work from home, drawing on data for 27 countries. The average daily time savings when working from home is 72 minutes in our sample. We estimate that work from home saved about two hours per week per worker in 2021 and 2022, and that it will...

The pandemic triggered a large, lasting shift to work from home (WFH). To study this shift, we survey full-time workers who finished primary school in 27 countries as of mid 2021 and early 2022. Our cross-country comparisons control for age, gender, education, and industry and treat the U.S....

We quantify the commute time savings associated with work from home, drawing on data for 27 countries. The average daily time savings when working from home is 72 minutes in our sample. We estimate that work from home saved about two hours per week per worker in 2021 and 2022, and that it will...

Little is known theoretically, and even less empirically, about the relationship between firm boundaries and the allocation of decision rights within firms. We develop a model in which firms choose which suppliers to integrate and whether to delegate decisions to integrated suppliers. We test...

Firm-level stock returns differ enormously in reaction to COVID-19 news. We characterize these reactions using the Risk Factors discussions in pre-pandemic 10-K filings and two text-analytic approaches: expert-curated dictionaries and supervised machine learning (ML). Bad COVID-19 news lowers...

Firm-level stock returns differ enormously in reaction to COVID-19 news. We characterize these reactions using the Risk Factors discussions in pre-pandemic 10-K filings and two text-analytic approaches: expert-curated dictionaries and supervised machine learning (ML). Bad COVID-19 news lowers...

We present a heterogeneous-firm model in which management ability increases both pro- duction efficiency and product quality. Combining six micro-datasets on management prac- tices, production and trade in Chinese and American firms, we find broad support for the model’s predictions. First,...