A school may improve its students' job outcomes if it issues only coarse grades. Google can
reduce congestion on roads by giving drivers noisy information about the state of traffic. A …

Social scientists are now in an era of data abundance, and machine learning tools are
increasingly used to extract meaning from data sets both massive and small. We explain …

Shelter-in-place ordinances were the first wide-spread policy measures aimed to mitigate
the spread of COVID-19. Compliance with shelter-in-place directives is individually costly …

We use individual and aggregate data to ask how the Internet is changing the ideological
segregation of the American electorate. Focusing on online news consumption, offline news …

We measure the persuasive effects of slanted news and tastes for like-minded news,
exploiting cable channel positions as exogenous shifters of cable news viewership. Channel …

We investigate the role of homophily–a tendency to interact with similar individuals–in the
diffusion of political information in social networks. We develop a model predicting …

I examine the learning process that economic agents use to update their expectation of an
uncertain and infrequently observed event. I use a new nation-wide panel dataset of large …

This study examines the difference between high and low concentrated markets in using
accrual and real earnings management and the role of corporate governance in mitigating …

We use new data on entries and exits of US daily newspapers from 1869 to 2004 to estimate
effects on political participation, party vote shares, and electoral competitiveness. Our …

The news media industry has changed as the internet and social media have matured and
become integral to modern life. I describe these changes through a theoretical analysis of …