The Value of Reputation in an Online Freelance Marketplace
Foster School of Business, University of Washington
August 6, 2013
Online freelance marketplaces are websites that match buyers of electronically deliverable services with freelancers. While freelancing has grown in recent years, it faces the classic ‘information asymmetry’ problem – buyers face uncertainty over seller quality. Typically, these markets use reputation systems to alleviate this issue, but the effectiveness of these systems is open to debate. We present a dynamic structural framework to estimate the returns to seller reputations in freelance sites. In our model, each period, a buyer decides whether to choose a bid from her current set of bids, cancel the auction, or wait for more bids. In the process, she trades-off sellers’ price, reputation, other attributes, and the costs of waiting and canceling. Our framework addresses ‘dynamic selection’, which can lead to underestimation of reputation, through two types of persistent unobserved heterogeneities – in bid arrival-rates and buyers’ unobserved preference for bids. We apply our framework to data from a leading freelance ﬁrm. We ﬁnd that buyers are forward-looking, that they place signiﬁcant weight on seller reputation, and that not controlling for dynamics and selection can bias reputation estimates. Using counterfactual simulations, we infer the dollar value of seller reputations and provide guidelines to managers of freelance ﬁrms.
Number of Pages in PDF File: 53
Keywords: online reputation systems, reputation, dynamic structural models, auction
JEL Classification: D44, D82, M31, L14, L15, C61
Date posted: November 19, 2012 ; Last revised: August 22, 2014
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