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Working Paper
Network Search: Climbing the Job Ladder Faster
We introduce an irregular network structure into a model of frictional, on-the-job search in which workers find jobs through their network connections or directly from firms. We show that jobs found through network search have wages that stochastically dominate those found through direct contact. Because we consider irregular networks, heterogeneity in the worker's position within the network leads to heterogeneity in wage and employment dynamics: better connected workers climb the job ladder faster and do not fall off it as far. These workers also pass along higher quality referrals, which ...
Working Paper
Costly Information Intermediation as a Natural Monopoly
In this paper, we show that information trade has similar characteristics to a natural monopoly, where competition may be detrimental to efficiency due either to the duplication of direct costs or the slowing down of information dissemination. We present a model with two large populations in which consumers are randomly matched to providers on a period-by-period basis. Despite a moral hazard problem, cooperation can be sustained through an institution that gives incentives to information exchange. We consider different information pricing mechanisms (membership vs. buy and sell) and different ...
Working Paper
Costly Information Intermediation as a Natural Monopoly
Many markets rely on information intermediation to sustain cooperation between large communities.We identify a key trade-off in costly information intermediation: intermediaries can create trust by incentivizing information exchange, but with too much information acquisition, intermediation becomes expensive, with a resulting high equilibrium default rate and a low fraction of agents buying this information. The particular pricing scheme and the competitive environment affect the direct and indirect costs of information transmission, represented by fees paid by consumers and the expected loss ...
Report
Empirical network contagion for U.S. financial institutions
We construct an empirical measure of expected network spillovers that arise through default cascades for the U.S. financial system for the period 2002-16. Compared to existing studies, we include a much larger cross section of U.S. financial firms that comprises all bank holding companies, all broker-dealers, and all insurance companies, and consider their entire empirical balance sheet exposures instead of relying on simulations or on exposures arising just through one specific market (like the fed funds market) or one specific financial instrument (like credit default swaps). We find ...
Working Paper
Making Friends Meet: Network Formation with Introductions
This paper proposes a parsimonious model of network formation with introductions in the presence of intermediation rents. Introductions allow two nodes to form a new connection on favorable terms with the help of a common neighbor. The decision to form links via introductions is subject to a trade-off between the gains from having a direct connection at lower cost and the potential losses for the introducer from lower intermediation rents. When nodes take advantage of introductions, stable networks tend to exhibit a minimum amount of clustering. At the same time, intermediary nodes have ...
Report
Precautionary Demand and Liquidity in Payment Systems
In large-value real-time gross settlement payment systems, banks rely heavily on incoming funds to finance outgoing payments. Such reliance necessitates a high degree of coordination and synchronization. We construct a model of a payment system calibrated for the U.S. Fedwire system and examine the impact of realistic disruptions motivated by the recent financial crisis. In such settings, individually cautious behavior can have a significant and detrimental impact on the overall functioning of the payment system through a multiplier effect. Our results quantify the mutually reinforcing nature ...
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 ...
Working Paper
Collaboration in Bipartite Networks, with an Application to Coauthorship Networks
This paper studies the impact of collaboration on research output. First, we build a micro founded model for scientific knowledge production, where collaboration between researchers is represented by a bipartite network. The equilibrium of the game incorporates both the complementarity effect between collaborating researchers and the substitutability effect between concurrent projects of the same researcher. Next, we develop a Bayesian MCMC procedure to estimate the structural parameters, taking into account the endogenous matching of researchers and projects. Finally, we illustrate the ...
Working Paper
Convergence of Cultural Traits with Time-Varying Self-Confidence in the Panebianco (2014) Model--A Corrigendum
We highlight that convergence in repeated averaging models commonly used to study cultural traits or opinion dynamics is not equivalent to convergence in Markov chain settings if transition matrices are time-varying. We then establish a new proof for the convergence of cultural traits in the model of Panebianco (2014) correcting the existing proof. The new proof provides novel insights on the long-run outcomes for inessential individuals. We close with a discussion of conditions for convergence in repeated averaging models with time-varying transition matrices.
Report
Does central clearing reduce counterparty risk in realistic financial networks?
Novating a single asset class to a central counterparty (CCP) in an over-the-counter derivatives trading network impacts both the mean and variance of total net exposures between counterparties. When a small number of dealers trade in a relatively large number of asset classes, central clearing increases the mean and variance of net exposures, which may lead to increased counterparty risk and higher margin needs. There are intermediate cases where there is a trade-off: The introduction of a CCP leads to an increase in expected net exposures but this increase is accompanied by a reduction in ...