The Impact of the Gig Economy on Product Quality Through the Labor Market: Evidence from Ridesharing and Restaurant Quality

References

• Barrios JM, Hochberg YV, Yi H (2022) Launching with a parachute: The gig economy and new business formation. J. Financial Econom. 144(1):22–43.Google Scholar
• Barrios T, Diamond R, Imbens GW, Kolesár M (2012) Clustering, spatial correlations, and randomization inference. J. Amer. Statist. Assoc. 107(498):578–591.Crossref, Google Scholar
• Barron K, Kung E, Proserpio D (2021) The effect of home-sharing on house prices and rents: Evidence from Airbnb. Marketing Sci. 40(1):23–47.Link, Google Scholar
• Berger J, Sorensen AT, Rasmussen SJ (2010) Positive effects of negative publicity: When negative reviews increase sales. Marketing Sci. 29(5):815–827.Link, Google Scholar
• Berger T, Chen C, Frey CB (2018) Drivers of disruption? Estimating the Uber effect. Eur. Econom. Rev. 110:197–210.Crossref, Google Scholar
• Bertrand M, Duflo E, Mullainathan S (2004) How much should we trust differences-in-differences estimates? Quart. J. Econom. 119(1):249–275.Crossref, Google Scholar
• Burtch G, Carnahan S, Greenwood BN (2018) Can you gig it? An empirical examination of the gig economy and entrepreneurial activity. Management Sci. 64(12):5497–5520.Link, Google Scholar
• Chakraborty I, Kim M, Sudhir K (2022) Attribute sentiment scoring with online text reviews: Accounting for language structure and missing attributes. J. Marketing Res. 59(3):600–622.Google Scholar
• Chen MK, Rossi PE, Chevalier JA, Oehlsen E (2019) The value of flexible work: Evidence from Uber drivers. J. Political Econom. 127(6):2735–2794.Crossref, Google Scholar
• Clotfelter C, Glennie E, Ladd H, Vigdor J (2008) Would higher salaries keep teachers in high-poverty schools? Evidence from a policy intervention in North Carolina. J. Public Econom. 92(5–6):1352–1370.Crossref, Google Scholar
• Cramer J, Krueger AB (2016) Disruptive change in the taxi business: The case of Uber. Amer. Econom. Rev. 106(5):177–182.Crossref, Google Scholar
• David H, Houseman SN (2010) Do temporary-help jobs improve labor market outcomes for low-skilled workers? Evidence from work first. Amer. Econom. J. Appl. Econom. 2(3):96–128.Crossref, Google Scholar
• Di X, Fabusuyi T, Simek C, Chen X, Hampshire R (2019) Inferred switching behavior in response to re-entry of Uber and Lyft: A revealed study in Austin, Texas. Findings, 7568.Google Scholar
• Estelami H (2000) Competitive and procedural determinants of delight and disappointment in consumer complaint outcomes. J. Service Res. 2(3):285–300.Crossref, Google Scholar
• Farronato C, Zervas G (2019) Consumer reviews and regulation: Evidence from NYC restaurants. Working paper, Harvard Business School, Cambridge, MA.Google Scholar
• Glaeser EL, Kim H, Luca M (2018) Nowcasting gentrification: Using Yelp data to quantify neighborhood change. AEA Papers Proc. 108:77–82.Crossref, Google Scholar
• Gorback C (2020) Your Uber has arrived: Ridesharing and the redistribution of economic activity. Working paper, University of Texas at Austin, Austin, TX.Google Scholar
• Hall JV, Krueger AB (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
• Hancock JI, Allen DG, Bosco FA, McDaniel KR, Pierce CA (2013) Meta-analytic review of employee turnover as a predictor of firm performance. J. Management 39(3):573–603.Crossref, Google Scholar
• Holtom BC, Burch TC (2016) A model of turnover-based disruption in customer services. Human Resources Management Rev. 26(1):25–36.Crossref, Google Scholar
• Hurley RF (2002) Putting people back into organizational learning. J. Bus. Indust. Marketing 17(4):270–281.Crossref, Google Scholar
• Jackson E (2020) Availability of the gig economy and long run labor supply effects for the unemployed. Working paper, Michigan State University, East Lansing, MI.Google Scholar
• Jefferson-Jones J (2015) Can short-term rental arrangements increase home values? A case for Airbnb and other home sharing arrangements. Cornell Real Estate Rev. 13:12–19.Google Scholar
• Katz LF, Krueger AB (2017) The role of unemployment in the rise in alternative work arrangements. Amer. Econom. Rev. 107(5):388–392.Crossref, Google Scholar
• Katz LF, Krueger AB (2019) The rise and nature of alternative work arrangements in the United States, 1995–2015. Indust. Labor Relations Rev. 72(2):382–416.Crossref, Google Scholar
• Kim DH (1993) The link between individual and organizational learning. Sloan Management Rev. 35(1):37–51.Google Scholar
• Koys DJ (2001) The effects of employee satisfaction, organizational citizenship behavior, and turnover on organizational effectiveness: A unit-level, longitudinal study. Personnel Psych. 54(1):101–114.Crossref, Google Scholar
• Lee J, Jin J, Luca M (2018) Aggregation of consumer ratings: An application to Yelp.com. Quant. Marketing Econom. 16(3):289–339.Crossref, Google Scholar
• Sasser WE, Schlesinger LA, Heskett JL (1997) Service Profit Chain (Simon and Schuster, New York).Google Scholar
• Schneider B, Bowen DE (1993) The service organization: Human resources management is crucial. Organ. Dynamics 21(4):39–52.Crossref, Google Scholar
• Shin J (2005) The role of selling costs in signaling price image. J. Marketing Res. 42(3):302–312.Crossref, Google Scholar
• Taboada M, Brooke J, Tofiloski M, Voll K, Stede M (2011) Lexicon-based methods for sentiment analysis. Comput. Linguistics 37(2):267–307.Crossref, Google Scholar
• Taddy M (2013) Multinomial inverse regression for text analysis. J. Amer. Statist. Assoc. 108(503):755–770.Crossref, Google Scholar
• Wu C, Che H, Chan TY, Lu X (2015) The economic value of online reviews. Marketing Sci. 34(5):739–754.Link, Google Scholar
• Zervas G, Proserpio D, Byers JW (2017) The rise of the sharing economy: Estimating the impact of Airbnb on the hotel industry. J. Marketing Res. 54(5):687–705.Crossref, Google Scholar
• Zhang S, Lee D, Singh PV, Mukhopadhyay T (2022) Demand interactions in sharing economies: Evidence from a natural experiment involving airbnb and uber/lyft. J. Marketing Res. 59(2):374–391.Google Scholar