2016
DOI: 10.3982/ecta10847
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An Empirical Equilibrium Model of a Decentralized Asset Market

Abstract: I estimate a search-and-bargaining model of a decentralized market to quantify the effects of trading frictions on asset allocations, asset prices and welfare, and to quantify the effects of intermediaries that facilitate trade. Using business-aircraft data, I find that, relative to the Walrasian benchmark, 18.3 percent of the assets are misallocated; prices are 19.2-percent lower; and the aggregate welfare losses equal 23.9 percent.Dealers play an important role in reducing trading frictions: In a market with… Show more

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Cited by 70 publications
(42 citation statements)
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“…Almost all empirical applications to product markets use static models: recent contributions include Hortaçsu and Syverson (2004); Hong and Shum (2006);Wildenbeest (2011);and Allen, Clark, and Houde (2014). Notable exceptions are Cebul et al (2011), which uses a dynamic search model to understand the role of buyers' turnover in health insurance pricing, and Gavazza (2016), which estimates a dynamic model of a decentralized asset market to study the effects of intermediaries on asset allocations and asset prices. Instead, we build a dynamic model that highlights the role of long-term buyer-seller relationships.…”
Section: Related Literaturementioning
confidence: 99%
“…Almost all empirical applications to product markets use static models: recent contributions include Hortaçsu and Syverson (2004); Hong and Shum (2006);Wildenbeest (2011);and Allen, Clark, and Houde (2014). Notable exceptions are Cebul et al (2011), which uses a dynamic search model to understand the role of buyers' turnover in health insurance pricing, and Gavazza (2016), which estimates a dynamic model of a decentralized asset market to study the effects of intermediaries on asset allocations and asset prices. Instead, we build a dynamic model that highlights the role of long-term buyer-seller relationships.…”
Section: Related Literaturementioning
confidence: 99%
“…11 Gavazza (2011) shows that aircraft that trade in thinner markets are less liquid and Gavazza (2016) studies the effect of trading frictions and the role of intermediaries in the market for used aircraft. 12 Stolyarov (2002) and Gavazza, Lizzeri, and Roketskiy (2014) study trade in used cars in a model with transaction costs and consumers with heterogeneous utility from the service flow of durables.…”
mentioning
confidence: 99%
“…As in Gavazza (2016), identification of unobserved parameters relies on key moments in the data. But unlike the aggregate moments in Gavazza (2016), we use the granular nature of our data and the heterogeneity in insurers' trading intensity and network size to facilitate our estimation. Figures 2 and 3 highlight the heterogeneity in insurers' trading intensity and network size.…”
Section: A Estimation Proceduresmentioning
confidence: 99%