IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp7451.html
   My bibliography  Save this paper

Getting Stuck in the Blues: Persistence of Mental Health Problems in Australia

Author

Listed:
  • Roy, John

    (Victoria University of Wellington)

  • Schurer, Stefanie

    () (University of Sydney)

Abstract

Do episodes of mental health problems cause future mental health problems, and if yes, how strong are these dynamics? We quantify the degree of persistence in mental health problems using nationally-representative, longitudinal data from Australia and system GMM-IV and correlated random effects approaches are applied to separate true from spurious state dependence. Our results suggest only a moderate degree of persistence in mental health problems when assuming that persistence is constant across the mental health distribution once individual-specific heterogeneity is accounted for. However, individuals who fell once below a threshold that indicates an episode of depression are up to five times more likely to experience such a low score again a year later, indicating a strong element of state dependence in depression. Low income is a strong risk factor in state dependence for both men and women, which has important policy implications.

Suggested Citation

  • Roy, John & Schurer, Stefanie, 2013. "Getting Stuck in the Blues: Persistence of Mental Health Problems in Australia," IZA Discussion Papers 7451, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp7451
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp7451.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Florian Heiss, 2011. "Dynamics of self-rated health and selective mortality," Empirical Economics, Springer, vol. 40(1), pages 119-140, February.
    3. 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.
    4. Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "The dynamics of health in the British Household Panel Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 473-503.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. Teresa Bago d'Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O'Donnell, 2008. "Does reporting heterogeneity bias the measurement of health disparities?," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 351-375.
    7. Johnston, David W. & Schurer, Stefanie & Shields, Michael A., 2011. "Evidence on the Long Shadow of Poor Mental Health across Three Generations," IZA Discussion Papers 6014, Institute for the Study of Labor (IZA).
    8. Susan L. Ettner & Richard G. Frank & Ronald C. Kessler, 1997. "The Impact of Psychiatric Disorders on Labor Market Outcomes," NBER Working Papers 5989, National Bureau of Economic Research, Inc.
    9. Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "Simulation-based inference in dynamic panel probit models: An application to health," Empirical Economics, Springer, vol. 29(1), pages 49-77, January.
    10. Smith, James Patrick & Smith, Gillian C., 2010. "Long-term economic costs of psychological problems during childhood," Social Science & Medicine, Elsevier, vol. 71(1), pages 110-115, July.
    11. Katharina Hauck & Nigel Rice, 2004. "A longitudinal analysis of mental health mobility in Britain," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 981-1001.
    12. Stephen Pudney, 2008. "The dynamics of perception: modelling subjective wellbeing in a short panel," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 21-40.
    13. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    14. Ada Ferrer-i-Carbonell & Paul Frijters, 2004. "How Important is Methodology for the estimates of the determinants of Happiness?," Economic Journal, Royal Economic Society, vol. 114(497), pages 641-659, July.
    15. Wiji Arulampalam & Mark B. Stewart, 2009. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 659-681, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baert, Stijn & De Visschere, Sarah & Schoors, Koen & Vandenberghe, Désirée & Omey, Eddy, 2016. "First depressed, then discriminated against?," Social Science & Medicine, Elsevier, vol. 170(C), pages 247-254.
    2. repec:eee:joecag:v:9:y:2017:i:c:p:52-62 is not listed on IDEAS
    3. Mujcic, Redzo, 2014. "Are fruit and vegetables good for our mental and physical health? Panel data evidence from Australia," MPRA Paper 59149, University Library of Munich, Germany.
    4. Melisa Bubonya & Deborah A. Cobb-Clark & David C. Ribar, 2017. "The Bilateral Relationship between Depressive Symptoms and Employment Status," Melbourne Institute Working Paper Series wp2017n10, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    5. 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.
    6. Stefanie Schurer & Michael Alspach & Jayden MacRae & Gregory Martin, 2016. "The Medical Care Costs of Mood Disorders: A Coarsened Exact Matching Approach," The Economic Record, The Economic Society of Australia, vol. 92(296), pages 81-93, March.
    7. repec:bla:jorssa:v:180:y:2017:i:3:p:907-922 is not listed on IDEAS
    8. Schurer, Stefanie & Alspach, Michael & MacRae, Jayden & Martin, Greg L., 2015. "The Medical Care Costs of Mood Disorders: A Coarsened Exact Matching Approach," IZA Discussion Papers 8814, Institute for the Study of Labor (IZA).

    More about this item

    Keywords

    mental health; depression and anxiety; dynamic panel data models; GMM-IV; HILDA;

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:iza:izadps:dp7451. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak). General contact details of provider: http://www.iza.org .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.