The effect of broadband Internet on the gender gap in mental health: Evidence from Germany
Abstract
Mental health disorders are among the leading causes of disease burden worldwide. Recently, attention has been drawn to the Internet and social media as determinants of the increase in mental health conditions in recent years. In this paper, I analyze the causal effect of broadband Internet access on the mental health of adults. I leverage confidential information on the coordinates of respondents to the German Socio‐Economic Panel (GSOEP) and exploit technological features of the German telecommunication network to instrument for broadband Internet access. The results are suggestive that broadband Internet leads to worse mental health for women (primarily those aged 17–30) but not for men, thus widening the gender gap in mental disorders. Looking at sub‐facets of mental health, broadband access leads to a worsening of socializing behavior and ability to cope with emotional problems. The fact that the results are concentrated among the younger cohorts of women is suggestive that high Internet usage intensity amplifies the negative effect of broadband internet access on mental health.
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Golin (2022) finds that availability of broadband internet leads to a decrease in self-reported mental health for young women in Germany.
“She exploits exogenous differences in the availability of broadband internet in Germany and fi nds that availability leads to a decrease in self-reported mental health for young women.”
From Youth Mental Health and School Smartphone Bans: Early Evidence (2026) · cites this paper as Golin (2022)
Cites
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 · see citing works
Grand challenges in global mental health
Collins, P. Y., Patel, V., Joestl, S. S., March, D., Insel, T. R., Daar, A. S., Bordin, I. A., Costello, E. J., Durkin, M., Fairburn, C., et al. (2011) · Nature · doi:10.1038/475027a · Cited by 2,043 · see citing works
Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018) · Clinical Psychological Science · doi:10.1177/2167702617723376 · Cited by 1,705 · see citing works
Haushofer, J., & Fehr, E. (2014) · Science · doi:10.1126/science.1232491 · Cited by 1,638 · see citing works
Cost of Lost Productive Work Time Among US Workers With Depression
Stewart, W. F. (2003) · JAMA · doi:10.1001/jama.289.23.3135 · Cited by 1,421 · see citing works
Thomée, S., Härenstam, A., & Hagberg, M. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-66 · Cited by 1,269 · see citing works
No More FOMO: Limiting Social Media Decreases Loneliness and Depression
Hunt, M. G., Marx, R., Lipson, C., & Young, J. (2018) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.2018.37.10.751 · Cited by 947 · see citing works
Patel, V., Chisholm, D., Parikh, R., Charlson, F. J., Degenhardt, L., Dua, T., Ferrari, A. J., Hyman, S., Laxminarayan, R., Levin, C., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(15)00390-6 · Cited by 889 · see citing works
The welfare effects of social media
Allcott, H., Braghieri, L., Eichmeyer, S., & Gentzkow, M. (2020) · American Economic Review · doi:10.1257/aer.20190658 · Cited by 857 · see citing works
Twenge, J. M., Martin, G. N., & Campbell, W. K. (2018) · Emotion · doi:10.1037/emo0000403 · Cited by 750 · see citing works
Deters, F. G., & Mehl, M. R. (2013) · Social Psychological and Personality Science · doi:10.1177/1948550612469233 · Cited by 523 · see citing works
Subjective Well-Being and Income: Is There Any Evidence of Satiation?
Stevenson, B., & Wolfers, J. (2013) · American Economic Review · doi:10.1257/aer.103.3.598 · Cited by 497 · see citing works
Association of screen time and depression in adolescence
Boers, E., Afzali, M. H., Newton, N., & Conrod, P. (2019) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2019.1759 · Cited by 481 · see citing works
Reliability and validity of the SF-12 health survey among people with severe mental illness
Salyers, M. P., Bosworth, H. B., Swanson, J. W., Lamb-Pagone, J., & Osher, F. C. (2000) · Medical Care · doi:10.1097/00005650-200011000-00008 · Cited by 390 · see citing works
Association of Facebook Use With Compromised Well-Being: A Longitudinal Study
Shakya, H. B., & Christakis, N. A. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kww189 · Cited by 378 · see citing works
Big five-personality trait and Internet addiction: A meta-analytic review
Kayiş, A. R., Satici, S. A., Yilmaz, M. F., Şimşek, D., Ceyhan, E., & Bakioğlu, F. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.012 · Cited by 320 · see citing works
The Internet and Children’s Psychological Wellbeing
McDool, E., Powell, P., Roberts, J., & Taylor, K. (2020) · Journal of Health Economics · doi:10.1016/j.jhealeco.2019.102274 · Cited by 189 · see citing works
Broadband Internet and social capital
Geraci, A., Nardotto, M., Reggiani, T., & Sabatini, F. (2022) · Journal of Public Economics · doi:10.1016/j.jpubeco.2021.104578 · Cited by 89 · see citing works
Social Media and Mental Health
Braghieri, L., Levy, R., & Makarin, A. (2021) · doi:10.2139/ssrn.3919760 · Cited by 18 · see citing works
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Youth Mental Health and School Smartphone Bans: Early Evidence
Saffer, H. (2026) · NBER Working Paper Series · doi:10.3386/w35181 · Cited by 1 · see citing works
- Authors
- Golin, M.
- Affiliations
- Jacobs Center for Productive Youth Development University of Zurich Zürich Switzerland
- ORCID
- Golin, Marta
- Venue
- Health Economics
- Publisher
- Wiley
- Published
- 2022-07-13
- Volume
- 31
- Issue
- S2
- Pages
- 6-21
- ISSN
- 1057-9230
- 1099-1050
- Cited by
- 51
- References
- 19
- Language
- en
- Funders
- Nuffield College, University of Oxford
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