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来源类型Working Paper
规范类型报告
DOI10.3386/w22124
来源IDWorking Paper 22124
Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy
Edward L. Glaeser; Andrew Hillis; Scott Duke Kominers; Michael Luca
发表日期2016-03-28
出版年2016
语种英语
摘要Can open tournaments improve the quality of city services? The proliferation of big data makes it possible to use predictive analytics to better target services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to crowdsource competence by making data public and offering a reward for the best algorithm. This paper provides a simple model suggesting that open tournaments dominate consulting contracts when cities have a reasonable tolerance for risk and when there is enough labor with low opportunity costs of time. We also illustrate how tournaments can be successful, by reporting on a Boston-based restaurant hygiene prediction tournament that we helped coordinate. The Boston tournament yielded algorithms—at low cost—that proved reasonably accurate when tested “out-of-sample” on hygiene inspections occurring after the algorithms were submitted. We draw upon our experience in working with Boston to provide practical suggestions for governments and other organizations seeking to run prediction tournaments in the future.
主题Econometrics ; Estimation Methods ; Microeconomics ; Market Structure and Distribution ; Economics of Information ; Industrial Organization ; Industry Studies ; Other ; Accounting, Marketing, and Personnel ; Regional and Urban Economics
URLhttps://www.nber.org/papers/w22124
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/579798
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Edward L. Glaeser,Andrew Hillis,Scott Duke Kominers,et al. Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy. 2016.
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