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Getting Stuck In The Blues: Persistence Of Mental Health Problems In Australia

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  • John Roy
  • Stefanie Schurer

Abstract

Do episodes of mental health (MH) problems cause future MH problems, and if yes, how strong are these dynamics? We quantify the degree of persistence in MH problems using nationally representative, longitudinal data from Australia and system generalized method of moments (GMM), and correlated random effects approaches are applied to separate true from spurious state dependence. Our results suggest only a moderate degree of persistence in MH problems when assuming that persistence is constant across the MH 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. Copyright © 2013 John Wiley & Sons, Ltd.

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  • John Roy & Stefanie Schurer, 2013. "Getting Stuck In The Blues: Persistence Of Mental Health Problems In Australia," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1139-1157, September.
  • Handle: RePEc:wly:hlthec:v:22:y:2013:i:9:p:1139-1157
    DOI: 10.1002/hec.2967
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    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, January.
    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. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    6. 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.
    7. 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, March.
    8. 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 of Labor Economics (IZA).
    9. 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.
    10. 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.
    11. 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.
    12. Jason M. Fletcher, 2010. "Adolescent depression and educational attainment: results using sibling fixed effects," Health Economics, John Wiley & Sons, Ltd., vol. 19(7), pages 855-871, July.
    13. Card, David & Sullivan, Daniel G, 1988. "Measuring the Effect of Subsidized Training Programs on Movements in and out of Employment," Econometrica, Econometric Society, vol. 56(3), pages 497-530, May.
    14. 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, October.
    15. 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, January.
    16. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    17. 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.
    18. 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.
    19. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
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    1. Ohrnberger, Julius & Fichera, Eleonora & Sutton, Matt, 2017. "The dynamics of physical and mental health in the older population," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 52-62.
    2. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A dynamic ordered logit model with fixed effects," Papers 2008.05517, arXiv.org.
    3. Bom, Judith & Bakx, Pieter & Schut, Frederik & van Doorslaer, Eddy, 2019. "Health effects of caring for and about parents and spouses," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    4. Lu Liu & Wei Nai & Zan Yang, 2022. "Measuring the State Dependence Effect in Hospital Payment Adjustment," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
    5. Paul Contoyannis & Jinhu Li, 2014. "The Dynamics of Depression from Adolescence to Early Adulthood," Department of Economics Working Papers 2014-09, McMaster University.
    6. Bilgrami, A., 2023. "Working from home and mental health: before and during the COVID-19 pandemic," Health, Econometrics and Data Group (HEDG) Working Papers 23/03, HEDG, c/o Department of Economics, University of York.
    7. Mateus Dias & Luiz Felipe Fontes, 2020. "The Effects of a Large-Scale Mental Health Reform: Evidence from Brazil," Working Papers 09, Instituto de Estudos para Políticas de Saúde.
    8. 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.
    9. 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.
    10. Peter Butterworth & Carmel Poyser & Aino Suomi, 2021. "Mental Health," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 530-541, December.
    11. Paul Contoyannis & Jinhu Li, 2017. "The dynamics of adolescent depression: an instrumental variable quantile regression with fixed effects approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(3), pages 907-922, June.
    12. Bilgrami, Anam, 2023. "Working from home and mental health: Before and during the COVID-19 pandemic," GLO Discussion Paper Series 1265, Global Labor Organization (GLO).
    13. Bubonya, Melisa & Cobb-Clark, Deborah A. & Ribar, David C., 2017. "The Bilateral Relationship between Depressive Symptoms and Employment Status," IZA Discussion Papers 10653, Institute of Labor Economics (IZA).
    14. Dias, Mateus & Fontes, Luiz Felipe, 2020. "The Effects of a Large-Scale Mental-Health Reform: Evidence from Brazil," MPRA Paper 104753, University Library of Munich, Germany.
    15. David W. Johnston & Olena Stavrunova, 2021. "Subjective Wellbeing Dynamics," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 518-529, December.
    16. Tran, My (Michelle) & Gannon, Brenda, 2021. "The regional effect of the consumer directed care model for older people in Australia," Social Science & Medicine, Elsevier, vol. 280(C).
    17. Daghagh Yazd, Sahar & Wheeler, Sarah Ann & Zuo, Alec, 2020. "Understanding the impacts of water scarcity and socio-economic demographics on farmer mental health in the Murray-Darling Basin," Ecological Economics, Elsevier, vol. 169(C).
    18. 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.
    19. Bubonya, Melisa & Cobb-Clark, Deborah A. & Ribar, David C., 2019. "The reciprocal relationship between depressive symptoms and employment status," Economics & Human Biology, Elsevier, vol. 35(C), pages 96-106.
    20. Sefa Awaworyi Churchill & Lisa Farrell & Russell Smyth, 2019. "Neighbourhood ethnic diversity and mental health in Australia," Health Economics, John Wiley & Sons, Ltd., vol. 28(9), pages 1075-1087, September.
    21. Anam Bilgrami & Kompal Sinha & Henry Cutler, 2020. "The impact of introducing a national scheme for paid parental leave on maternal mental health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 29(12), pages 1657-1681, December.
    22. 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.
    23. Danusha Jayawardana & Brenda Gannon & Jenny Doust & Gita D. Mishra, 2023. "Excess healthcare costs of psychological distress in young women: Evidence from linked national Medicare claims data," Health Economics, John Wiley & Sons, Ltd., vol. 32(3), pages 715-734, March.
    24. Peter Butterworth & Sonja C. de New & Chris Schilling & Karinna Saxby & Dennis Petrie & Clement Wong, 2021. "Dynamics of Mental Health and Healthcare Use among Children and Young Adults," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(1), pages 130-142, March.

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    More about this item

    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

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