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Report
Cyber Risk and the U.S. Financial System: A Pre-Mortem Analysis
We model how a cyber attack may be amplified through the U.S. financial system, focusing on the wholesale payments network. We estimate that the impairment of any of the five most active U.S. banks will result in significant spillovers to other banks, with 38 percent of the network affected on average. The impact varies and can be larger on particular days and in geographies with concentrated banking markets. When banks respond to uncertainty by liquidity hoarding, the potential impact in forgone payment activity is dramatic, reaching more than 2.5 times daily GDP. In a reverse stress test, ...
Report
Do informal referrals lead to better matches? Evidence from a firm's employee referral system
The limited nature of data on employment referrals in large business and household surveys has so far limited our understanding of the relationships among employment referrals, match quality, wage trajectories, and turnover. Using a new, firm-level data set that includes explicit information on whether a worker was referred by a current employee of the company, we are able to provide rich detail on these empirical relationships for a single U.S. corporation, and to test various predictions of theoretical models of labor market referrals. Predictions with which our results align include: 1) ...
Working Paper
Filling in the Blanks: Network Structure and Interbank Contagion
The network pattern of financial linkages is important in many areas of banking and finance. Yet bilateral linkages are often unobserved, and maximum entropy serves as the leading method for estimating counterparty exposures. This paper proposes an efficient alternative that combines information-theoretic arguments with economic incentives to produce more realistic interbank networks that preserve important characteristics of the original interbank market. The method loads the most probable links with the largest exposures consistent with the total lending and borrowing of each bank, yielding ...
Working Paper
The Role of Interbank Relationships and Liquidity Needs
In this paper, we focus on the interconnectedness of banks and the price they pay for liquidity. We assess how the concentration of credit relationships and the position of a bank in the network topology of the system influence the bank?s ability to meet its liquidity demand. We use quarterly data of bilateral interbank credit exposures between all German banks from 2000 to 2008 to measure interbank relationships and the network characteristics. We match these data with the bids placed by the individual banks in the European Central Bank?s (ECB) weekly repo auctions. The bids measure each ...
Working Paper
Intermediation in Networks
I study intermediation in networked markets using a stochastic model of multilateral bargaining in which players compete on different routes through the network. I characterize stationary equilibrium payoffs as the fixed point of a set of intuitive value function equations and study efficiency and the impact of network structure on payoffs. There is never too little trade but there may be an inefficiency through too much trade in states where delay would be efficient. With homogeneous trade surplus the payoffs for players that are not essential to a trade opportunity go to zero as trade ...
Working Paper
Parental Proximity and Earnings after Job Displacements
Young adults, ages 25 to 35, who live in the same neighborhoods as their parents experience stronger earnings recoveries after a job displacement than those who live farther away. This result is driven by smaller on-impact wage reductions and sharper recoveries in both hours and wages. We show that geographic mobility, different job search durations, housing transfers, and ex-ante differences between individuals are unlikely explanations. Our findings are consistent with a framework in which some individuals living near their parents face a better wage-offer distribution, though we find no ...
Working Paper
Making Friends Meet: Network Formation with Introductions
High levels of clustering—the tendency for two nodes in a network to share a neighbor—are ubiquitous in economic and social networks across different applications. In addition, many real-world networks show high payoffs for nodes that connect otherwise separate network regions, representing rewards for filling “structural holes” in the sense of Burt (1992) and keeping distances in networks short. This paper proposes a parsimonious model of network formation with introductions and intermediation rents that can explain both these features. Introductions make it cheaper to create ...