Customer Voice on Two-Sided Platforms: The Effect of Surge Pricing on Customer Complaints
References
- (2006) Large sample properties of matching estimators for average treatment effects. Econometrica 74(1):235–267.Crossref, Google Scholar
- (2021) Strategic timing and dynamic pricing for online resource allocation. Management Sci. 67(8):4880–4907.Link, Google Scholar
- (2012) Learning from the crowd: Regression discontinuity estimates of the effects of an online review database. Econom. J. 122(563):957–989.Google Scholar
- (2014) Skeletons in the database: An early analysis of the CFPB’s consumer complaints. Fordham J. Corporate Financial Law 19(2):343–391.Google Scholar
- (2002) Evidence of the effect of trust building technology in electronic markets: Price premiums and buyer behavior. MIS Quart. 26(3):243–268.Crossref, Google Scholar
- (2003) The winner’s curse, reserve prices, and endogenous entry: Empirical insights from eBay auctions. RAND J. Econom. 34(2):329–355.Crossref, Google Scholar
- (2019) Spatial pricing in ride-sharing networks. Oper. Res. 67(3):744–769.Link, Google Scholar
- (2022) Spatial equilibrium, search frictions and dynamic efficiency in the taxi industry. Rev. Econom. Stud. 89(2):556–591.Crossref, Google Scholar
- (2010) The dynamics of seller reputation: Evidence from eBay. J. Indust. Econom. 58(1):54–78.Crossref, Google Scholar
- Castillo JC, Knoepfle D, Weyl EG (2024) Matching and pricing in ride hailing: Wild goose chases and how to solve them. Management Sci. Forthcoming.Google Scholar
- (2019) The value of flexible work: Evidence from Uber drivers. J. Political Econom. 127(6):2735–2794.Crossref, Google Scholar
- (2006) The effect of word of mouth on sales: Online book reviews. J. Marketing Res. 43(3):345–354.Crossref, Google Scholar
- (2016) Using big data to estimate consumer surplus: The case of Uber. NBER Working Paper No. 22627, National Bureau of Economic Research, Cambridge, MA.Google Scholar
- (2014) Detecting emotional contagion in massive social networks. PLoS One 9(3):e90315.Crossref, Google Scholar
- (2016) Disruptive change in the taxi business: The case of Uber. Amer. Econom. Rev. 106(5):177–182.Crossref, Google Scholar
- (2018) Aggregation of consumer ratings: An application to Yelp.com. Quant. Marketing Econom. 16(3):289–339.Crossref, Google Scholar
- (2021) Reciprocity and unveiling in two-sided reputation systems: Evidence from an experiment on Airbnb. Marketing Sci. 40(6):1013–1029.Link, Google Scholar
- (2019) Frictions in a competitive, regulated market: Evidence from taxis. Amer. Econom. Rev. 109(8):2954–2992.Crossref, Google Scholar
- (2021) Exits, tweets, and loyalty. Amer. Econom. J. Microeconomics 13(2):68–112.Crossref, Google Scholar
- (2010) Are consumers disadvantaged or vulnerable? An examination of consumer complaints to the Better Business Bureau. J. Consumer Affairs 44(1):3–23.Crossref, Google Scholar
- Ghili S, Kumar V, Teng F (2023) Spatial distribution of access to service: Theory and evidence from ridesharing. Working paper, Yale University, New Haven, CT.Google Scholar
- (2011) Online display advertising: Targeting and obtrusiveness. Marketing Sci. 30(3):389–404.Link, Google Scholar
- (2017) Tweeting as a marketing tool: A field experiment in the TV industry. J. Marketing Res. 54(6):833–850.Crossref, Google Scholar
- (2017) Show me the way to go home: An empirical investigation of ride-sharing and alcohol related motor vehicle fatalities. MIS Quart. 41(1):163–187.Crossref, Google Scholar
- (2018) An analysis of the labor market for Uber’s driver-partners in the United States. Indust. Labor Relations Rev. 71(3):705–732.Crossref, Google Scholar
- Hall JV, Horton JJ, Knoepfle DT (2023) Ride-sharing markets re-equilibrate. Working paper, MIT Sloan, Boston.Google Scholar
- (2015) The effects of Uber’s surge pricing: A case study. Working paper, Uber Technologies, San Francisco.Google Scholar
- (1970) Exit, Voice, and Loyalty (Harvard University Press, Cambridge, MA).Google Scholar
- (2006) Reputation in auctions: Theory, and evidence from eBay. J. Econom. Management Strategy 15(2):353–369.Crossref, Google Scholar
- (2004) Nonparametric estimation of average treatment effects under exogeneity: A review. Rev. Econom. Statist. 86(1):4–29.Crossref, Google Scholar
- (2017) How do platform participants respond to an unfair rating? An analysis of a ride-sharing platform using a quasi-experiment. Working paper, University of Missouri, Columbia.Google Scholar
- (2021) The geography of ridesharing: A case study of New York City. Inform. Econom. Policy 57(2021):100941-29.Google Scholar
- (2016) An empirical analysis of on-demand ride-sharing and traffic congestion. Bui TX, Sprague R, eds. Proc. 50th Hawaii Internat. Conf. System Sci. (IEEE, Piscataway, NJ), 5717–5726.Google Scholar
- (2021) Do digital platforms reduce moral hazard? The case of Uber and taxis. Management Sci. 67(8):4665–4685.Link, Google Scholar
- (2024) The efficiency of a dynamic decentralized two-sided matching market. Working paper, Tsinghua University, Beijing.Google Scholar
- (2016) Reviews, reputation, and revenue: The case of Yelp.com. Working paper, Harvard University, Cambridge, MA.Google Scholar
- (2013) Digitizing doctor demand: The impact of online reviews on doctor choice. Working paper, Harvard University, Cambridge, MA.Google Scholar
- (2007) Pennies from eBay: The determinants of price in online auctions. J. Indust. Econom. 55(2):223–233.Crossref, Google Scholar
- (2002) Reputation in an internet auction market. Econom. Inquiry 40(4):633–650.Crossref, Google Scholar
- (1980) The determinants of consumer complaints. Rev. Econom. Statist. 62(4):603–609.Crossref, Google Scholar
- (2018) You get what you give: Theory and evidence of reciprocity in the sharing economy. Quant. Marketing Econom. 16(4):371–407.Crossref, Google Scholar
- (2020) Whose voice do we hear in the marketplace? Evidence from consumer complaining behavior. Marketing Sci. 39(1):168–187.Link, Google Scholar
- (2015) Pricing in ride-share platforms: A queueing-theoretic approach. Working paper, Stanford University, Stanford, CA.Google Scholar
- (2017) Does online word of mouth increase demand? (And how?) Evidence from a natural experiment. Marketing Sci. 36(6):838–861.Link, Google Scholar
- (1989) Determinants of consumers’ decision to seek third party redress: An empirical study of dissatisfied patients. J. Consumer Affairs 23(2):329–363.Crossref, Google Scholar
- (2010) Matching methods for causal inference: A review and a look forward. Statist. Sci. 25(1):1–21.Crossref, Google Scholar
- (2016) Reputation and feedback systems in online platform markets. Annual Rev. Econom. 8(1):321–340.Crossref, Google Scholar
- (2021) The effect of individual online reviews on purchase likelihood. Marketing Sci. 40(4):708–730.Link, Google Scholar
- (2018) Estimation and inference of heterogeneous treatment effects using random forests. J. Amer. Statist. Assoc. 113(523):1228–1242.Crossref, Google Scholar
- (2019) Mobile hailing technology and taxi driving behaviors. Marketing Sci. 38(5):734–755.Link, Google Scholar
- Zervas G, Proserpio D, Byers J (2021) A first look at online reputation on Airbnb, where every stay is above average. Marketing Lett. 32:1–16.Google Scholar
- (2017) A quasi-experimental estimate of the impact of P2P transportation platforms on urban consumer patterns. Proc. 23rd ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining, 1683–1692.Google Scholar
- (2023) Do lower-quality images lead to greater demand on Airbnb? Working paper, Harvard University, Cambridge, MA.Google Scholar

