Showing results 1 to 6 of approximately 6.(refine search)
Taking orders and taking notes: dealer information sharing in financial markets
The use of order flow information by financial firms has come to the forefront of the regulatory debate. Central to this discussion is whether a dealer who acquires information by taking client orders can share that information. We explore how information sharing affects dealers, clients, and issuer revenues in U.S. Treasury auctions. Because one cannot observe alternative information regimes, we build a model, calibrate it to auction results data, and use it to quantify counterfactuals. We estimate that yearly auction revenues with full information sharing (with clients and between dealers) ...
Scarring Body and Mind: The Long-Term Belief-Scarring Effects of COVID-19
The largest economic cost of the COVID-19 pandemic could arise if it changed behavior long after the immediate health crisis is resolved. A common explanation for such a long-lived effect is the scarring of beliefs. We show how to quantify the extent of such belief changes and determine their impact on future economic outcomes. We find that the long-run effect of the COVID crisis depends crucially on whether bankruptcies and changes in habit make existing capital obsolete. A policy that avoided most permanent separation of workers from capital could generate a much larger benefit than ...
The Tail that Wags the Economy: Beliefs and Persistent Stagnation
The Great Recession was a deep downturn with long-lasting effects on credit, employment and output. While narratives about its causes abound, the persistence of GDP below pre-crisis trends remains puzzling. We propose a simple persistence mechanism that can be quantified and combined with existing models. Our key premise is that agents don't know the true distribution of shocks, but use data to estimate it non-parametrically. Then, transitory events, especially extreme ones, generate persistent changes in beliefs and macro outcomes. Embedding this mechanism in a neoclassical model, we find ...
Germs, Social Networks, and Growth
Does the pattern of social connections between individuals matter for macroeconomic outcomes? If so, where do these differences come from and how large are their effects? Using network analysis tools, we explore how different social network structures affect technology diffusion and thereby a country's rate of growth. The correlation between high-diffusion networks and income is strongly positive. But when we use a model to isolate the effect of a change in social networks, the effect can be positive, negative, or zero. The reason is that networks diffuse ideas and disease. Low-diffusion ...
Nature or nurture? learning and female labor force dynamics
In the last century, the evolution of female labor force participation has been S-shaped: It rose slowly at first, then quickly, and has leveled off recently. Central to this dramatic rise has been the entry of women with young children. We argue that this S-shaped dynamic came from generations of women learning about the relative importance of nature (endowed ability) and nurture (time spent child-rearing) in determining children's outcomes. Each generation updates the beliefs of their parents, by observing others' outcomes. When few women participate in the labor force, most outcomes are ...
Aggregate shocks or aggregate information? costly information and business cycle comovement
When similar patterns of expansion and contraction are observed across sectors, we call this a business cycle. Yet explaining the similarity and synchronization of these cycles across industries remains a puzzle. Whereas output growth across industries is highly correlated, identifiable shocks, like shocks to productivity, are far less correlated. While previous work has examined complementarities in production, we propose that sectors make similar input decisions because of complementarities in information acquisition. Because information about driving forces has a high fixed cost of ...