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Report
Insider networks
How do insiders respond to regulatory oversight? History suggests that they form sophisticated networks to share information and circumvent regulation. We develop a theory of the formation and regulation of information transmission networks. We show that agents with sufficiently complex networks bypass any given regulatory environment. In response, regulators employ broad regulatory boundaries to combat gaming, giving rise to regulatory ambiguity. Tighter regulation induces agents to migrate transmission activity from existing social networks to a core-periphery insider network. A small group ...
Working Paper
Are Supply Networks Efficiently Resilient?
We show that supply networks are inefficiently, and insufficiently, resilient. Upstream firms can expand their production capacity to hedge againstsupply and demand shocks. But the social benefits of such investments arenot internalized due to market power and market incompleteness. Upstreamfirms under-invest in capacity and resilience, passing-on the costs to downstreamfirms, and drive trade excessively towards the spot markets. There isa wedge between the market solution and a constrained optimal benchmark,which persists even without rare and large shocks. Policies designed to incentivize ...
Working Paper
Costly Information Intermediation: Quality vs. Spillovers
We analyze information intermediaries in large economies with costly information acquisition. Intermediaries face a trade-off between quality and dissemination speed. Both altruistic policymakers and profit-maximizing monopolists optimally choose to sample limited information, increasing the number of partially informed agents and enhancing spillovers despite slower information accumulation. Altruistic information-sharing bureaus minimize fees by inducing low provider default rates, while monopolist bureaus maximize fees through higher faulty service rates. Information trade resembles a ...
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
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
The Interactions of Social Norms about Climate Change: Science, Institutions and Economics
We study the evolution of interest in climate change among different actors within the population and how the interest of these actors affects one another. First, we document the evolution of interest for each actor individually, and then we provide a model of cross-influences between them. We estimate this model using a Vector Autoregression (VAR). We measure interest among the general public, the European Parliament, central banks, general interest science journals, and economics journals by creating a Climate Change Index (CCI) based on mentions of climate change in these domains. Except ...
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 ...
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
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
Pandemic Control in ECON-EPI Networks
We develop an ECON-EPI network model to evaluate policies designed to improve health and economic outcomes during a pandemic. Relative to the standard epidemiological SIR set-up, we explicitly model social contacts among individuals and allow for heterogeneity in their number and stability. In addition, we embed the network in a structural economic model describing how contacts generate economic activity. We calibrate it to the New York metro area during the 2020 COVID-19 crisis and show three main results. First, the ECON-EPI network implies patterns of infections that better match the data ...