We analyze the diffusion of rival information in a social network. In our model, rational agents can share information sequentially, unconstrained by an exogenous protocol or timing. We show how to compute the set of eventually informed agents for any network, and show that it is essentially...

We introduce information frictions into a tractable quantitative multi-country multi-sector model with global value chains. Producers in a sector do not perfectly observe contemporaneous shocks to other countries and sectors, and their output decisions respond to their idiosyncratic beliefs...

We study learning via shared news. Each period agents receive the same quantity and quality of first-hand information and can share it with friends. Some friends (possibly few) share selectively, generating heterogeneous news diets across agents akin to echo chambers. Agents are aware of...

We study social learning between spouses using an experiment in Chennai, India. We vary whether individuals discover information themselves or must instead learn what their spouse discovered via a discussion. Women treat their 'own' and their husband's information the same. In sharp contrast,...

The financial motivation to earn advertising revenue by spreading misinformation has been widely conjectured to be among the main reasons misinformation continues to be prevalent online. Research aimed at reducing the spread of misinformation has so far focused on user-level interventions with...

In an RCT with US small businesses, we document that a large share of firms are not well-informed about bankruptcy. Many assume that bankruptcy necessarily entails the death of a business and do not know about Chapter 11 bankruptcy, where debts are renegotiated so that the business can continue...

Can ideas mobilize people into collective action? We provide a positive answer to this question by studying how exposure to the Communist ideology shaped an individual's choice to join the Chinese Communist Party (CCP) during the party's formative stage. The individuals we focus on are cadets at...

We study the staggered introduction of a generative AI-based conversational assistant using data from 5,179 customer support agents. Access to the tool increases productivity, as measured by issues resolved per hour, by 14 percent on average, with the greatest impact on novice and low-skilled...

Observing the increasingly important roles played by the creation and transmission of information and tacit knowledge, we construct an information-network model incorporating both information transmitters and information aggregators. Given information-processing roles in aggregation or...