Payment networks in a search model of money
In a simple search model of money, we study a special kind of memory that gives rise to an arrangement resembling a payment network. Specifically, we assume that agents can pay a cost to access a central database that tracks payments made and received. Incentives must be provided to agents to access the central database and to produce when they participate in this arrangement. We also study policies that can loosen these incentive constraints. In particular, we show that a "no-surcharge" rule has good incentive properties. Finally, we compare our model with that of Cavalcanti and Wallace.
Firm-to-Firm Relationships and the Pass-Through of Shocks: Theory and Evidence
Economists have long suspected that firm-to-firm relationships might lower the responsiveness of prices to shocks due to the use of fixed-price contracts. Using transaction-level U.S. import data, I show that the pass-through of exchange rate shocks in fact rises as a relationship grows older. Based on novel stylized facts about a relationship?s life cycle, I develop a model of relationship dynamics in which a buyer-seller pair accumulates relationship capital to lower production costs under limited commitment. The structurally estimated model generates countercyclical markups and ...
Can Reputation Discipline the Gig Economy? Experimental Evidence from an Online Labor Market
Just as employers face uncertainty when hiring workers, workers also face uncertainty when accepting employment, and bad employers may opportunistically depart from expectations, norms, and laws. However, prior research in economics and information sciences has focused sharply on the employer?s problem of identifying good workers rather than vice versa. This issue is especially pronounced in markets for gig work, including online labor markets, where platforms are developing strategies to help workers identify good employers. We build a theoretical model for the value of such reputation ...
The Founding of the Federal Reserve, the Great Depression and the Evolution of the U.S. Interbank Network
Financial network structure is an important determinant of systemic risk. This paper examines how the U.S. interbank network evolved over a long and important period that included two key events: the founding of the Federal Reserve and the Great Depression. Banks established connections to correspondents that joined the Federal Reserve in cities with Fed offices, initially reducing overall network concentration. The network became even more focused on Fed cities during the Depression, as survival rates were higher for banks with more existing connections to Fed cities, and as survivors ...
Superstar Economists: Coauthorship networks and research output
We study the impact of research collaborations in coauthorship networks on research output and how optimal funding can maximize it. Through the links in the collaboration network, researchers create spillovers not only to their direct coauthors but also to researchers indirectly linked to them. We characterize the equilibrium when agents collaborate in multiple and possibly overlapping projects. We bring our model to the data by analyzing the coauthorship network of economists registered in the RePEc Author Service. We rank the authors and research institutions according to their contribution ...
Network Contagion and Interbank Amplification during the Great Depression
Interbank networks amplified the contraction in lending during the Great Depression. Banking panics induced banks in the hinterland to withdraw interbank deposits from Federal Reserve member banks located in reserve and central reserve cities. These correspondent banks responded by curtailing lending to businesses. Between the peak in the summer of 1929 and the banking holiday in the winter of 1933, interbank amplification reduced aggregate lending in the U.S. economy by an estimated 15 percent.
Identifying Foreign Suppliers in U.S. Import Data
Relationships between firms and their foreign suppliers are the foundation of international trade, but data limitations and reliability concerns make studying such relationships challenging. We evaluate and enhance supplier information in U.S. import data and present new facts about importer?exporter relationships. Count of foreign exporters from U.S. import data tends to exceed those from source country data, especially from China. The pattern of U.S. imports from origin countries changes substantially by tracing trade back to the supplier's location instead. Related-party relationships ...
Learning and the Value of Trade Relationships
This paper quantifies the value of importer-exporter relationships. We show that almost 80 percent of U.S. imports take place in pre-existing relationships, with sizable heterogeneity across countries, and show that traded quantities and survival increase as relationships age. We develop a two-country general equilibrium trade model with learning that is consistent with these facts. A model-based measure of relationship value explains survival during the 2008-09 crisis. Knowledge accumulated within long-term relationships is quantitatively important: wiping out all memory from previous ...
\\"It's Not You, It's Me\\" : Breakups in U.S.-China Trade Relationships
Costs to switching suppliers can affect prices by discouraging buyer movements from high to low cost sellers. This paper uses confidential U.S. Customs data on U.S. importers and their Chinese exporters to investigate these costs. I find considerable barriers to supply chain adjustments: 45% of arm?s-length importers keep their partner, and one-third of switching importers remain in the same city. Guided by these regularities, I propose and structurally estimate a dynamic discrete exporter choice model. Cost estimates are large and heterogeneous across products. These costs matter for trade ...
Identifying Contagion in a Banking Network
We present the first micro-level evidence of the transmission of shocks through financial networks. Using the network of credit default swap (CDS) transactions between banks, we identify bank CDS returns attributable to counterparty losses. A bank's own CDS spread increases whenever counterparties from whom it has purchased default protection themselves experience losses. We find no such effect from losses of non-counterparties, nor from counterparties to whom the bank has sold protection. The effect on bank CDS returns through this counterparty loss channel is large relative to the direct ...