The DOI matches its Crossref record; 35 of the 36 references it cites were found in a registry or an index.
Uber happy? Work and well-being in the ‘Gig Economy’
Abstract
SUMMARY We study the rise of the so-called ‘gig economy’ through the lens of Uber and its drivers in the United Kingdom. Using administrative data from Uber and a new representative survey of London drivers, we explore their backgrounds, earnings, and subjective well-being. We find that the vast majority of Uber drivers are male immigrants, primarily drawn from the bottom half of the London income distribution. Most transitioned out of permanent part- or full-time jobs and about half of drivers’ report that their incomes increased after partnering with Uber. After covering vehicle operation costs and Uber’s service fee, we estimate that the median London driver earns about £11 per hour spent logged into the app. But while Uber drivers remain at the lower end of the London income distribution, they report higher levels of life satisfaction than other workers. Consistent with a trade-off between evaluative and emotional well-being observed among the self-employed, they also report higher anxiety levels. We hypothesize that the higher life satisfaction among Uber drivers partly reflects their preferences for flexibility and the autonomy that the platform offers. We provide suggestive evidence showing that drivers who emphasize flexibility as an important motivation to join Uber also report higher levels of subjective well-being. However, a minority of drivers who report that they would prefer work as an employee report lower levels of life satisfaction and higher levels of anxiety. Overall, our findings highlight the importance of non-monetary factors in shaping the welfare of workers in the gig economy.
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In the citing paper
“Similar to other self-employed workers, Uber drivers also reported higher anxiety levels than other London workers (Berger et al., 2019).”
From Gig work and gig workers: An integrative review and agenda for future research (2024) · cites this paper as Berger et al., 2019
In the citing paper
“With a representative survey of London Uber drivers, Berger et al. (2019) found that although Uber drivers remain at the lower end of income distribution, they reported higher levels of life satisfaction than other London workers in traditional work arrangements.”
From Gig work and gig workers: An integrative review and agenda for future research (2024) · cites this paper as Berger et al. (2019)
In the citing paper
“Berger et al. (2019) found that those who value flexibility and autonomy tend to report higher life satisfaction, whereas those who prefer work as an employee tend to report lower life satisfaction and higher anxiety.”
From Gig work and gig workers: An integrative review and agenda for future research (2024) · cites this paper as Berger et al. (2019)
Citations
Cites
Developments in the Measurement of Subjective Well-Being
Kahneman, D., & Krueger, A. B. (2006) · Journal of Economic Perspectives · doi:10.1257/089533006776526030 · Cited by 3,177
High income improves evaluation of life but not emotional well-being
Kahneman, D., & Deaton, A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011492107 · Cited by 3,162 · cited 2×
“, happiness and anxiety) in columns 6 and 7 is also consistent with the argument that income mainly affects evaluative, rather than emotional, well-being (Kahneman and Deaton, 2010).”
BackgroundResultRelative Income, Happiness, and Utility: An Explanation for the Easterlin Paradox and Other Puzzles
Clark, A. E., Frijters, P., & Shields, M. A. (2008) · Journal of Economic Literature · doi:10.1257/jel.46.1.95 · Cited by 3,159
Satisfaction and comparison income
Clark, A. E., & Oswald, A. J. (1996) · Journal of Public Economics · doi:10.1016/0047-2727(95)01564-7 · Cited by 2,960
Blanchflower, D. G., & Oswald, A. J. (1998) · Journal of Labor Economics · doi:10.1086/209881 · Cited by 2,357
Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy
Wood, A. J., Graham, M., Lehdonvirta, V., & Hjorth, I. (2019) · Work, Employment and Society · doi:10.1177/0950017018785616 · Cited by 2,209
Frey, B. S., & Stutzer, A. (2002) · Princeton University Press eBooks · doi:10.1515/9781400829262 · Cited by 1,970
Income and well-being: an empirical analysis of the comparison income effect
Ada Ferrer-i-carbonell, A. (2004) · Journal of Public Economics · doi:10.1016/j.jpubeco.2004.06.003 · Cited by 1,952
The Blinder–Oaxaca Decomposition for Linear Regression Models
Jann, B. (2008) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x0800800401 · Cited by 1,867
Does Entrepreneurship Pay? An Empirical Analysis of the Returns to Self‐Employment
Hamilton, B. H. (2000) · Journal of Political Economy · doi:10.1086/262131 · Cited by 1,851
Neighbors as Negatives: Relative Earnings and Well-Being
Luttmer, E. F. P. (2005) · The Quarterly Journal of Economics · doi:10.1093/qje/120.3.963 · Cited by 1,583
How's life? Combining individual and national variables to explain subjective well-being
Helliwell, J. F. (2003) · Economic Modelling · doi:10.1016/s0264-9993(02)00057-3 · Cited by 1,414
Do People Mean What They Say? Implications for Subjective Survey Data
Bertrand, M., & Mullainathan, S. (2001) · American Economic Review · doi:10.1257/aer.91.2.67 · Cited by 1,391
Self-employment in OECD countries
Blanchflower, D. G. (2000) · Labour Economics · doi:10.1016/s0927-5371(00)00011-7 · Cited by 1,162
Algorithmic Labor and Information Asymmetries: A Case Study of Uber’s Drivers
(2016) · International journal of communication · Cited by 990
Job Satisfaction as an Economic Variable
Freeman, R. B. (1977) · National Bureau of Economic Research · doi:10.3386/w0225 · Cited by 977
Valuing Alternative Work Arrangements
Mas, A., & Pallais, A. (2017) · American Economic Review · doi:10.1257/aer.20161500 · Cited by 925
Disruptive Change in the Taxi Business: The Case of Uber
Cramer, J., & Krueger, A. B. (2016) · American Economic Review · doi:10.1257/aer.p20161002 · Cited by 845
Being Independent is a Great Thing: Subjective Evaluations of Self‐Employment and Hierarchy
BENZ, M., & Frey, B. S. (2007) · Economica · doi:10.1111/j.1468-0335.2007.00594.x · Cited by 703
An Analysis of the Labor Market for Uber’s Driver-Partners in the United States
Hall, J. V., & Krueger, A. B. (2018) · ILR Review · doi:10.1177/0019793917717222 · Cited by 701
Latent entrepreneurship across nations
Blanchflower, D. G., Oswald, A., & Stutzer, A. (2001) · European Economic Review · doi:10.1016/s0014-2921(01)00137-4 · Cited by 674
Happiness and Economics: How the Economy and Institutions Affect Human Well-Being
Berkey, L., Frey, B. S., & Stutzer, A. (2003) · Contemporary Sociology A Journal of Reviews · doi:10.2307/3089588 · Cited by 601
Happiness: a revolution in economics
Frey, B. S., Stutzer, A., Benz, M., Meier, S., Luechinger, S., & Benesch, C. (2008) · Choice Reviews Online · doi:10.5860/choice.46-2192 · Cited by 582
Is Uber a substitute or complement for public transit?
Hall, J. D., Palsson, C., & Price, J. (2018) · Journal of Urban Economics · doi:10.1016/j.jue.2018.09.003 · Cited by 572
Performance Pay and Wage Inequality*
Lemieux, T., MacLeod, W. B., & Parent, D. (2009) · The Quarterly Journal of Economics · doi:10.1162/qjec.2009.124.1.1 · Cited by 528
Frey, B. S. (2008) · The MIT Press eBooks · doi:10.7551/mitpress/9780262062770.001.0001 · Cited by 449
Adams‐Prassl, J. (2018) · doi:10.1093/oso/9780198797012.001.0001 · Cited by 441
Why Has Work Effort Become More Intense?
Green, F. (2004) · Industrial Relations A Journal of Economy and Society · doi:10.1111/j.0019-8676.2004.00359.x · Cited by 369
Drivers of disruption? Estimating the Uber effect
Berger, T., Chen, C., & Frey, C. B. (2018) · European Economic Review · doi:10.1016/j.euroecorev.2018.05.006 · Cited by 273
Self-citationWorking Time Mismatch and Subjective Well-being
Wooden, M., Warren, D., & Drago, R. W. (2009) · British Journal of Industrial Relations · doi:10.1111/j.1467-8543.2008.00705.x · Cited by 258
Bryson, A., & MacKerron, G. (2015) · The Economic Journal · doi:10.1111/ecoj.12269 · Cited by 193
Angrave, D., & Charlwood, A. (2015) · Human Relations · doi:10.1177/0018726714559752 · Cited by 153
Good gigs: a fairer future for the UK's gig economy
Balaram, B. (2017) · Cited by 57
Does labor legislation benefit workers? Well-being after an hours reduction
Hamermesh, D. S., Kawaguchi, D., & Lee, J. (2017) · Journal of the Japanese and International Economies · doi:10.1016/j.jjie.2017.02.003 · Cited by 52
L'emploi des jeunes peu qualifiés en France
Cahuc, P., Carcillo, S., & Zimmermann, K. F. (2013) · Notes du conseil d’analyse économique · doi:10.3917/ncae.004.0001 · Cited by 22
Flagged first, then by citations
1 of the 36 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Ferrer-I-Carbonell, 2004, How important is methodology for the estimates of the determinants of happiness?, The Economic Journal, 114, 641, 10.1111/j.1468-0297.2004.00235.x · DOI
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Working on my own: Measuring the challenges of gig work
Caza, B. B., Reid, E. M., Ashford, S. J., & Granger, S. (2022) · Human Relations · doi:10.1177/00187267211030098 · Cited by 249
The ethical debate about the gig economy: A review and critical analysis
Tan, Z. M., Aggarwal, N., Cowls, J., Morley, J., Taddeo, M., & Floridi, L. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101594 · Cited by 225
Zhang, A., Boltz, A., Wang, C. W., & Lee, M. K. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3501866 · Cited by 166
Gig work and gig workers: An integrative review and agenda for future research
Wu, D., & Huang, J. L. (2024) · Journal of Organizational Behavior · doi:10.1002/job.2775 · Cited by 168
Gig Workers during the COVID-19 Crisis in France: Financial Precarity and Mental Well-Being
Apouey, B., Roulet, A., Solal, I., & Stabile, M. (2020) · Journal of Urban Health · doi:10.1007/s11524-020-00480-4 · Cited by 145
Metadata
- Authors
- Berger, T., Frey, C. B., Levin, G., & Danda, S. R.
- Affiliations
- Lund University (SE)
- Corresponding author
- Berger, Thor
- Venue
- Economic Policy
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-07-01
- Volume
- 34
- Issue
- 99
- Pages
- 429-477
- ISSN
- 0266-4658 (ISSN-L)
- 1468-0327
- OpenAlex
- W2903427932
- Cited by
- 267
- References
- 36
- Citations by year
- 2026: 45 · 2025: 51 · 2024: 56 · 2023: 38 · 2022: 32 · 2021: 23 · 2020: 17 · 2019: 5
- FWCI
- 38.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Economic Policy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Employment and Welfare Studies
- Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
- Keywords
- gig economy, Uber drivers, subjective well-being, life satisfaction, anxiety, work flexibility, self-employment, immigrant workers, earnings, job loss, employment status, platform work, London
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