IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/31638.html
   My bibliography  Save this paper

The Value of Communication for Mental Health

Author

Listed:
  • Francis Annan
  • Belinda Archibong

Abstract

Mental health disorders account for a significant share of the overall global disease burden. The economic losses from such disorders are staggeringly large, particularly in low-income countries, where people are faced with several unexpected shocks. We test whether improved communication can mitigate such mental health disorders. Partnering with a major telecommunications company, we implement low-cost communication interventions that provide mobile calling credits to a nationally representative set of low-income adults in Ghana during the COVID-19 pandemic. Individuals’ inability to make unexpected calls, need to borrow SOS airtime, and to seek digital loans decreased significantly relative to a control group. As a result, the programs led to a significant decrease in mental distress (-9.8%), the likelihood of severe mental distress by -2.3 percentage points (a quarter of the mean prevalence), and domestic violence, with null impact on consumption expenditure. The effects are stronger for monthly mobile credits than a lump-sum. We present evidence that improvements in both business-related services and social inclusion and/or protection are relevant explanations. Simple cost-benefit analysis shows that providing communication credit to low-income adults is a cost-effective policy for improving mental health. Communication – the ability to stay connected – meaningfully improves mental well-being and interventions about communication are particularly valuable when implemented as many installments.

Suggested Citation

  • Francis Annan & Belinda Archibong, 2023. "The Value of Communication for Mental Health," NBER Working Papers 31638, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:31638
    Note: DEV EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w31638.pdf
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Leslie, Emily & Wilson, Riley, 2020. "Sheltering in place and domestic violence: Evidence from calls for service during COVID-19," Journal of Public Economics, Elsevier, vol. 189(C).
    2. Townsend, Robert M, 1994. "Risk and Insurance in Village India," Econometrica, Econometric Society, vol. 62(3), pages 539-591, May.
    3. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
    4. Blumenstock, Joshua E. & Eagle, Nathan & Fafchamps, Marcel, 2016. "Airtime transfers and mobile communications: Evidence in the aftermath of natural disasters," Journal of Development Economics, Elsevier, vol. 120(C), pages 157-181.
    5. David S. Lee, 2009. "Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(3), pages 1071-1102.
    6. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    7. Achyuta Adhvaryu & James Fenske & Anant Nyshadham, 2019. "Early Life Circumstance and Adult Mental Health," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1516-1549.
    8. Abhijit Banerjee & Paul Niehaus & Tavneet Suri, 2019. "Universal Basic Income in the Developing World," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 959-983, August.
    9. Joseph P. Romano & Michael Wolf, 2005. "Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 94-108, March.
    10. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
    11. Louis-Philippe Béladn & Abel Brodeur & Joanne Haddad & Derek Mikola, 2021. "Determinants of Family Stress and Domestic Violence: Lessons from the COVID-19 Outbreak," Canadian Public Policy, University of Toronto Press, vol. 47(3), pages 439-459, September.
    12. Daniel Björkegren, 2019. "The Adoption of Network Goods: Evidence from the Spread of Mobile Phones in Rwanda," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 1033-1060.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Magnan, Nicholas & Hoffmann, Vivian & Opoku, Nelson & Gajate Garrido, Gissele & Kanyam, Daniel Akwasi, 2021. "Information, technology, and market rewards: Incentivizing aflatoxin control in Ghana," Journal of Development Economics, Elsevier, vol. 151(C).
    2. Phillip Heiler, 2022. "Heterogeneous Treatment Effect Bounds under Sample Selection with an Application to the Effects of Social Media on Political Polarization," Papers 2209.04329, arXiv.org, revised Jan 2024.
    3. Vira Semenova, 2020. "Generalized Lee Bounds," Papers 2008.12720, arXiv.org, revised Feb 2023.
    4. Marco Colagrossi & Claudio Deiana & Andrea Geraci & Ludovica Giua, 2022. "Hang up on stereotypes: Domestic violence and an anti‐abuse helpline campaign," Contemporary Economic Policy, Western Economic Association International, vol. 40(4), pages 585-611, October.
    5. Jason M. Lindo & Nicholas J. Sanders & Philip Oreopoulos, 2010. "Ability, Gender, and Performance Standards: Evidence from Academic Probation," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 95-117, April.
    6. Mahmud, Mahreen & Riley, Emma, 2021. "Household response to an extreme shock: Evidence on the immediate impact of the Covid-19 lockdown on economic outcomes and well-being in rural Uganda," World Development, Elsevier, vol. 140(C).
    7. Fabian Kosse & Thomas Deckers & Pia Pinger & Hannah Schildberg-Hörisch & Armin Falk, 2020. "The Formation of Prosociality: Causal Evidence on the Role of Social Environment," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 434-467.
    8. Susmita Baulia, 2018. "Is household shock a boon or bane to the utilisation of preventive healthcare for children? Evidence from Uganda," Discussion Papers 121, Aboa Centre for Economics.
    9. Yuya KUDO & Abu S. Shonchoy & Kazushi Takahashi, 2019. "Short-Term Impacts of Solar Lanterns on Child Health: Experimental Evidence from Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 55(11), pages 2329-2346, November.
    10. Depew, Briggs & Eren, Ozkan, 2016. "Born on the wrong day? School entry age and juvenile crime," Journal of Urban Economics, Elsevier, vol. 96(C), pages 73-90.
    11. Barron, Kai & Parry, Charles D.H. & Bradshaw, Debbie & Dorrington, Rob & Groenewald, Pam & Laubscher, Ria & Matzopoulos, Richard, 2022. "Alcohol, Violence and Injury-Induced Mortality: Evidence from a Modern-Day Prohibition," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Online Ea, pages 1-44.
    12. Cortés, Darwin & Maldonado, Darío & Gallego, Juan & Charpak, Nathalie & Tessier, Rejean & Ruiz, Juan Gabriel & Hernandez, José Tiberio & Uriza, Felipe & Pico, Julieth, 2022. "Comparing long-term educational effects of two early childhood health interventions," Journal of Health Economics, Elsevier, vol. 86(C).
    13. von Haaren, Paula & Klonner, Stefan, 2020. "Maternal cash for better child health? The impacts of India’s IGMSY/PMMVY maternity benefit scheme," Working Papers 0689, University of Heidelberg, Department of Economics.
    14. Ho, Kate & Rosen, Adam M., 2015. "Partial Identification in Applied Research: Benefits and Challenges," CEPR Discussion Papers 10883, C.E.P.R. Discussion Papers.
    15. Diva Dhar & Tarun Jain & Seema Jayachandran, 2022. "Reshaping Adolescents' Gender Attitudes: Evidence from a School-Based Experiment in India," American Economic Review, American Economic Association, vol. 112(3), pages 899-927, March.
    16. Matthias Westphal & Daniel A Kamhöfer & Hendrik Schmitz, 2022. "Marginal College Wage Premiums Under Selection Into Employment," The Economic Journal, Royal Economic Society, vol. 132(646), pages 2231-2272.
    17. Dustin M. Long & Michael G. Hudgens, 2013. "Sharpening Bounds on Principal Effects with Covariates," Biometrics, The International Biometric Society, vol. 69(4), pages 812-819, December.
    18. Lukáš Lafférs, 2019. "Identification in Models with Discrete Variables," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 657-696, February.
    19. Zhang, Hongliang, 2016. "Identification of treatment effects under imperfect matching with an application to Chinese elite schools," Journal of Public Economics, Elsevier, vol. 142(C), pages 56-82.
    20. Chakravorty, Bhaskar & Bhatiya, Apurav Yash & Imbert, Clément & Lohnert, Maximilian & Panda, Poonam & Rathelot, Roland, 2023. "Impact of the COVID-19 crisis on India’s rural youth: Evidence from a panel survey and an experiment," World Development, Elsevier, vol. 168(C).

    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:31638. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.