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The effects of Uber diffusion on the mental health of drivers

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  • Bénédicte Apouey
  • Mark Stabile

Abstract

While the spread of digital technologies and the growth of associated atypical forms of work are attracting increasing attention, little is known about the impact of these new forms of work on psychological well‐being. This paper examines the effect of Uber diffusion on the mental health of drivers, taking advantage of the rollout of Uber across UK regions. We match individual‐level information on health and sociodemographic characteristics from the UK Household Longitudinal Study (Understanding Society) between 2009 and 2019 with data on the diffusion of Uber across the country. We first show that Uber diffusion is positively associated with mental health, as measured by the General Health Questionnaire, in the population group of self‐employed drivers. We argue that this positive correlation captures a selection effect (of comparatively healthier individuals into the category of self‐employed drivers after Uber entry) and the omission of unobserved factors, rather than a causal effect. Indeed, we do not observe any improvement in mental health for workers who were already self‐employed drivers before Uber entry. In parallel with this, among individuals who remained salaried drivers over time, our results suggest there may be a decline in mental health after Uber's introduction, probably because they feel the competition from Uber drivers.

Suggested Citation

  • Bénédicte Apouey & Mark Stabile, 2022. "The effects of Uber diffusion on the mental health of drivers," Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1468-1490, July.
  • Handle: RePEc:wly:hlthec:v:31:y:2022:i:7:p:1468-1490
    DOI: 10.1002/hec.4521
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    References listed on IDEAS

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    1. Eve Caroli & Mathilde Godard, 2016. "Does job insecurity deteriorate health?," Health Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 131-147, February.
    2. Moscone, F. & Tosetti, E. & Vittadini, G., 2016. "The impact of precarious employment on mental health: The case of Italy," Social Science & Medicine, Elsevier, vol. 158(C), pages 86-95.
    3. Berger, Thor & Chen, Chinchih & Frey, Carl Benedikt, 2018. "Drivers of disruption? Estimating the Uber effect," European Economic Review, Elsevier, vol. 110(C), pages 197-210.
    4. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    5. Bénédicte Apouey & Alexandra Roulet & Isabelle Solal & Mark Stabile, 2020. "Gig Workers during the COVID-19 Crisis in France: Financial Precarity and Mental Well-Being," Post-Print halshs-02973630, HAL.
    6. repec:hal:pseose:halshs-01311366 is not listed on IDEAS
    7. Silvana Robone & Andrew Jones & Nigel Rice, 2011. "Contractual conditions, working conditions and their impact on health and well-being," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(5), pages 429-444, October.
    8. Bénédicte H. Apouey & Alexandra Roulet & Isabelle Solal & Mark Stabile, 2020. "Gig Workers during the COVID-19 Crisis in France: Financial Precarity and Mental Well-Being," Post-Print halshs-02973630, HAL.
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    1. Bénédicte Apouey & Alexandra Roulet & Isabelle Solal & Mark Stabile, 2020. "Gig Workers during the COVID-19 Crisis in France: Financial Precarity and Mental Well-Being," Post-Print halshs-02973630, HAL.
    2. Yuxun Peng & Yuqing Shao & Ziyun Li & Ruian Cai & Xiaochen Bo & Chen Qian & Qiao Chu & Jiang Chen & Jianwei Shi, 2022. "Status and Determinants of Symptoms of Anxiety and Depression among Food Delivery Drivers in Shanghai, China," IJERPH, MDPI, vol. 19(20), pages 1-14, October.

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