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What Good Are Treatment Effects without Treatment? Mental Health and the Reluctance to Use Talk Therapy

Author

Listed:
  • Christopher J. Cronin
  • Matthew P. Forsstrom
  • Nicholas W. Papageorge

Abstract

Evidence across disciplines suggests that talk therapy is more curative than antidepressants for mild-to-moderate depression and anxiety. Yet, few patients use it. We develop a dynamic choice model to analyze patient demand for the treatment of depression and anxiety. The model incorporates myriad potential impediments to therapy use along with links between mental health improvements and earnings. The estimated model reveals that mental health improvements are valuable, directly through utility and indirectly through earnings. However, patient reluctance to use therapy is nearly impervious to reasonable counterfactual policies (e.g., lowering prices or removing other costs). Patient behavior might reflect stigma, biases in beliefs about the effectiveness of therapy, or a distaste for discussing personal or painful issues with a stranger. More broadly, the benefits of therapy estimated in randomized trials tell only half the story. If patients do not use treatments outside of an experimental setting—and we fail to understand why or how to get them to—estimated treatment effects cannot be leveraged.

Suggested Citation

  • Christopher J. Cronin & Matthew P. Forsstrom & Nicholas W. Papageorge, 2020. "What Good Are Treatment Effects without Treatment? Mental Health and the Reluctance to Use Talk Therapy," NBER Working Papers 27711, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27711
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    References listed on IDEAS

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    1. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    2. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    3. Sanderson, Eleanor & Windmeijer, Frank, 2016. "A weak instrument F-test in linear IV models with multiple endogenous variables," Journal of Econometrics, Elsevier, vol. 190(2), pages 212-221.
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    Cited by:

    1. Lena Janys & Bettina Siflinger, 2021. "Mental Health and Abortions among Young Women: Time-Varying Unobserved Heterogeneity, Health Behaviors, and Risky Decisions," ECONtribute Discussion Papers Series 083, University of Bonn and University of Cologne, Germany.
    2. Nicholas W. Papageorge, 2021. "Modeling Behavior during a Pandemic: Using HIV as an Historical Analogy," NBER Working Papers 28898, National Bureau of Economic Research, Inc.
    3. N. Meltem Daysal & Mikkel Hasse Pedersen & William N. Evans & Mircea Trandafir, 2022. "Do Medical Treatments Work for Work? Evidence from Breast Cancer Patients," CEBI working paper series 22-23, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    4. Lena Janys & Bettina Siflinger, 2021. "Mental Health and Abortions among Young Women: Time-varying Unobserved Heterogeneity, Health Behaviors, and Risky Decisions," Papers 2103.12159, arXiv.org, revised May 2022.
    5. Siddique, Abu & Islam, Asad & Mozumder, Tanvir Ahmed & Rahman, Tabassum & Shatil, Tanvir, 2022. "Forced Displacement, Mental Health, and Child Development: Evidence from the Rohingya Refugees," SocArXiv b4fc7, Center for Open Science.
    6. Janys, Lena & Siflinger, Bettina, 2024. "Mental health and abortions among young women: time-varying unobserved heterogeneity, health behaviors, and risky decisions," Journal of Econometrics, Elsevier, vol. 238(1).
    7. Zachary Swaziek & Abigail Wozniak, 2020. "Disparities Old and New in US Mental Health during the COVID‐19 Pandemic," Fiscal Studies, John Wiley & Sons, vol. 41(3), pages 709-732, September.
    8. Barton Hamilton & Andrés Hincapié & Emma C. Kalish & Nicholas W. Papageorge, 2021. "Medical Innovation and Health Disparities," NBER Working Papers 28864, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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