Labor Welfare in On-Demand Service Platforms

References

• Aaronson D, French E (2004) The effect of part-time work on wages: Evidence from the social security rules. J. Labor Econom. 22(2):329–352.Crossref, Google Scholar
• Allon G, Cohen M, Sinchaisri W (2018) The impact of behavioral and economic drivers on gig economy workers. Working Paper, University of Pennsylvania, Philadelphia.Google Scholar
• Armstrong M (2006) Competition in two-sided markets. RAND J. Econom. 37(3):668–691.Crossref, Google Scholar
• Bai J, So K, Tang C, Chen X, Wang H (2019) Coordinating supply and demand on an on-demand service platform with impatient customers. Manufacturing Service Oper. Management 21(3):556–570.Link, Google Scholar
• Banerjee S, Riquelme C, Johari R (2015) Pricing in ride-share platforms: A queueing-theoretic approach. Proc. 16th ACM Conf. Econom. Comput. (ACM, New York), 639.Google Scholar
• Benjaafar S, Hu M (2020) Operations management in the age of the sharing economy: What is old and what is new? Manufacturing Service Oper. Management 22(1):93–101.Link, Google Scholar
• Benjaafar S, Ding J, Kong G, Taylor T (2020) Labor welfare in on-demand service platforms (unabridged). Preprint, submitted December 29, http://dx.doi.org/10.2139/ssrn.3102736.Google Scholar
• Bensinger A, Berger GP (2019) Lyft, Juno sue city over wage increase. Wall Street Journal (January 31), A12.Google Scholar
• Bimpikis K, Candogan O, Saban D (2019) Spatial pricing in ride-sharing networks. Oper. Res. 67(3):744–769.Link, Google Scholar
• Blundell R MaCurdy T (1999) Labor supply: A review of alternative approaches. O Ashenfelter O, Card D, eds. Handbook of Labor Economics, vol. 3 (North Holland, Amsterdam), 1559–1695.Google Scholar
• Borjas G (2016) Labor Economics (McGraw-Hill, New York).Google Scholar
• Cachon GP, Daniels KM, Lobel R (2017) The role of surge pricing on a service platform with self-scheduling capacity. Manufacturing Service Oper. Management 19(3):368–384.Link, Google Scholar
• Camerer C, Babcock L, Loewenstein G, Thaler R (1997) Labor supply of New York City cabdrivers: One day at a time. Quart. J. Econom. 112(2):407–441.Crossref, Google Scholar
• Card D, Krueger AB (2015) Myth and Measurement: The New Economics of the Minimum Wage, 20th anniversary ed. (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Castillo JC, Knoepfle D, Weyl G (2017) Surge pricing solves the wild goose chase. Proc. ACM Conf. Econom. Comput. (Association for Computing Machinery, New York), 241–242.Google Scholar
• Chen Y, Hu M (2020) Pricing and matching with forward-looking buyers and sellers. Manufacturing Service Oper. Management 22(4):717–734.Link, Google Scholar
• Chen K, Sheldon M (2015) Dynamic pricing in a labor market: Surge pricing and flexible work on the Uber platform. Working paper, Yale University, New Haven, CT.Google Scholar
• Chen M, Chevalier J, Rossi P, Oehlsen E (2019) The value of flexible work: Evidence from Uber drivers. J. Political Econom. 127(6):2735–2794.Crossref, Google Scholar
• Chen YJ, Dai T, Korpeoglu C, Korpeoglu E, Sahin O, Tang C, Xiao S (2020) OM forum—Innovative online platforms: Research opportunities. Manufacturing Service Oper. Management 22(3):430–445.Link, Google Scholar
• Cohen MC, Zhang RP (2017) Coopetition and profit sharing for ride-sharing platforms. Working paper, New York University, New York.Google Scholar
• Cohen P, Hahn RW, Hall J, Levitt SD, Metcalfe R (2016) Using big data to estimate consumer surplus: The case of Uber. Working paper, Uber Technologies, San Francisco.Google Scholar
• DiNardo J, Fortin NM, Lemieux T (1996) Labor market institutions and the distribution of wages. Econometrica 64(5):1001–1044.Crossref, Google Scholar
• Ehrenberg RG, Smith RS (2016) Modern Labor Economics: Theory and Public Policy. (Routledge, New York).Crossref, Google Scholar
• Feng G, Kong G, Wang Z (2020) We are on the way: Analysis of on-demand ride-hailing systems. Manufacturing Service Oper. Management, ePub ahead of print June 3, https://doi.org/10.1287/msom.2020.0880.Link, Google Scholar
• Fitzsimmons EG (2018) New York City limits growth of ride-hailing. Wall Street Journal (August 9), A1.Google Scholar
• Fortin B, Lacroix G (1994) Labour supply, tax evasion and the marginal cost of public funds an empirical investigation. J. Public Econom. 55(3):407–431.Crossref, 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
• Hall JV, Horton JJ, Knoepfle DT (2017) Labor market equilibration: Evidence from Uber. Working paper, New York University, New York.Google Scholar
• Hassin R (2016) Rational Queueing (CRC Press, Boca Raton, FL).Crossref, Google Scholar
• Hassin R, Haviv M (2003) To Queue or Not to Queue: Equilibrium Behavior in Queueing Systems (Springer Science & Business Media, Berlin).Crossref, Google Scholar
• Heckman J (1974) Life cycle consumption and labor supply: An explanation of the relationship between income and consumption over the life cycle. Amer. Econom. Rev. 64(1):188–194.Google Scholar
• Hirsch BT (2005) Why do part-time workers earn less? The role of worker and job skills. Indust. Labor Relations Rev. 58(4):525–551.Crossref, Google Scholar
• Hu M (2021) From the classics to new tunes: A neoclassical view on sharing economy and innovative marketplaces. Production Oper. Management. Forthcoming.Google Scholar
• Hu M, Zhou Y (2017) Price, wage, and fixed commission in on-demand matching. Preprint, submitted April 10, http://dx.doi.org/10.2139/ssrn.2949513.Google Scholar
• Hu M, Zhou Y (2021) Dynamic type matching. Manufacturing Service Oper. Management. Forthcoming.Google Scholar
• Independent Drivers Guild (2018) Pay petition. Accessed January 1, 2019, https://drivingguild.org/wp-content/uploads/2018/03/Pay-Petition-1-1.pdf.Google Scholar
• In Kind (2018) RideAustin: The nonprofit rideshare app that gives back. (July 28), https://medium.com/in-kind/rideaustin-the-nonprofit-rideshare-app-that-gives-back-8538b0f95ae. Google Scholar
• Jiang ZZ, Kong G, Zhang Y (2020) Making the most of your regret: A behavioral investigation of workers’ relocation in on-demand platforms. Manufacturing Service Oper. Management, ePub ahead of print November 6, https://doi.org/10.1287/msom.2020.0916.Google Scholar
• Maisello B (2017) Faster pickup times mean busier drivers. Uber (April 5), https://medium.com/uber-under-the-hood/faster-pickup-times-mean-busier-drivers-9ca497af89ef.Google Scholar
• Mendelson H (1985) Pricing computer services: queueing effects. Commun. ACM 28(3):312–321.Crossref, Google Scholar
• Neumark D, Wascher W (2007) Minimum wages and employment. Foundations Trends Microeconom. 3(1–2):1–182.Google Scholar
• New York City Taxi and Limousine Commission (2018a) Driver income rules. Accessed January 1, 2019, www1.nyc.gov/assets/tlc/downloads/pdf/driver_income_rules_12_04_2018.pdf.Google Scholar
• New York City Taxi and Limousine Commission (2018b) Governing high-volume for-hire services. Accessed January 1, 2019, www1.nyc.gov/assets/tlc/downloads/pdf/governing_hi_vol_service_providers_12_04_2018.pdf.Google Scholar
• Nikzad A (2020) Thickness and competition in ride-sharing markets. Working paper, University of Southern California, Los Angeles.Google Scholar
• Parrott JA, Reich M (2018) An earnings standard for New York City’s app-based drivers: Economic analysis and policy assessment. Report, Center for New York City Affairs, The New School, New York.Google Scholar
• Ransom MR (1987) An empirical model of discrete and continuous choice in family labor supply. Rev. Econom. Statist. 69(3):465–472.Crossref, Google Scholar
• Rayman G (2018) Share drivers: Hike app-alling wages. New York Daily News (March 21), 6.Google Scholar
• Rochet JC, Tirole J (2006) Two-sided markets: A progress report. RAND J. Econom. 37(3):645–667.Crossref, Google Scholar
• Sakasegawa H (1977) An approximation formula Lq≃αρβ(1−ρ). Ann. Inst. Statist. Math. 29(1):67–76.Crossref, Google Scholar
• Scheiber N (2017) How Uber uses psychological tricks to push its drivers’ buttons. New York Times (April 3), A1.Google Scholar
• Sheldon M (2016) Income targeting and the ride-sharing market. Working paper, Uber Technologies, San Francisco.Google Scholar
• Siddiqui F (2019) Uber and Lyft are floating a $21 minimum wage. Critics say it’s closer to $15. Washington Post (August 31), A12.Google Scholar
• Sneed M (2018) A fare fight. Chicago Sun-Times (August 12), 4.Google Scholar
• Su X (2017) Vehicle locations in ride-sharing networks: Self-driving cars vs. self-interested drivers. Working paper, University of Pennsylvania, Philadelphia.Google Scholar
• Taylor T (2018) On-demand service platforms. Manufacturing Service Oper. Management 20(4):704–720.Link, Google Scholar
• Wolf E (2002) Lower wage rates for fewer hours? A simultaneous wage-hours model for Germany. Labour Econom. 9(5):643–663.Crossref, Google Scholar
• Yu JJ, Tang CS, Shen ZM Shen, Chen X (2020) A balancing act of regulating on-demand ride services. Management Sci. 66(7):2975–2992.Google Scholar