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O brother how art thou: Propensity to report self-assessed unmet need

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  • Gibson, Grant
  • Clair, Luc

Abstract

Research investigating self-assessed unmet need (SUN) has taken the reports from surveys as given and subsequently attempted to discover patterns in inequality of access to healthcare. This requires the yet untested assumption that, given a certain level of care and demand, the likelihood of reporting unmet need does not vary across socioeconomic/demographic status (SEDS), be satisfied. Using an administrative dataset spanning 2001 to 2011 comprised of sufferers of a set of conditions that suggest unmet need (n = 3300) we evaluate the proposition that, given health status and care received, the propensity to report unmet need does not vary along SEDS. The results are further validated using the Canadian Community Health Surveys between 2001 and 2013 (n = 237,483). We find that the assumption of independence between reporting SUN and SEDS is not satisfied. Many of the groups found to have less access in previous studies may simply be more prone to interpret/answer the survey questions about unmet need in a certain way. The results of this research suggest that, in its present incarnation, survey data on self-assessed unmet need does not accurately measure what much of the academic literature has assumed it does.

Suggested Citation

  • Gibson, Grant & Clair, Luc, 2019. "O brother how art thou: Propensity to report self-assessed unmet need," Social Science & Medicine, Elsevier, vol. 243(C).
  • Handle: RePEc:eee:socmed:v:243:y:2019:i:c:s0277953619306276
    DOI: 10.1016/j.socscimed.2019.112632
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    References listed on IDEAS

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    1. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    2. Linton, Oliver & Song, Kyungchul & Whang, Yoon-Jae, 2010. "An improved bootstrap test of stochastic dominance," Journal of Econometrics, Elsevier, vol. 154(2), pages 186-202, February.
    3. Marcel Kerkhofs & Maarten Lindeboom, 1995. "Subjective health measures and state dependent reporting errors," Health Economics, John Wiley & Sons, Ltd., vol. 4(3), pages 221-235, May.
    4. Ahs, Annika Maria Helen & Westerling, Ragnar, 2006. "Health care utilization among persons who are unemployed or outside the labour force," Health Policy, Elsevier, vol. 78(2-3), pages 178-193, October.
    5. Black, Nicole & Johnston, David W. & Suziedelyte, Agne, 2017. "Justification bias in self-reported disability: New evidence from panel data," Journal of Health Economics, Elsevier, vol. 54(C), pages 124-134.
    6. Himmelstein, D.U. & Woolhandler, S., 1995. "Care denied: US residents who are unable to obtain needed medical services," American Journal of Public Health, American Public Health Association, vol. 85(3), pages 341-344.
    7. Allin, Sara & Grignon, Michel & Le Grand, Julian, 2010. "Subjective unmet need and utilization of health care services in Canada: What are the equity implications?," Social Science & Medicine, Elsevier, vol. 70(3), pages 465-472, February.
    8. Hugo Benítez-Silva & Moshe Buchinsky & Hiu Man Chan & Sofia Cheidvasser & John Rust, 2004. "How large is the bias in self-reported disability?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 649-670.
    9. Daniel McFadden, 1977. "Quantitative Methods for Analyzing Travel Behaviour of Individuals: Some Recent Developments," Cowles Foundation Discussion Papers 474, Cowles Foundation for Research in Economics, Yale University.
    10. Grant Gibson & Michel Grignon & Jeremiah Hurley & Li Wang, 2019. "Here comes the SUN: Self‐assessed unmet need, worsening health outcomes, and health care inequity," Health Economics, John Wiley & Sons, Ltd., vol. 28(6), pages 727-735, June.
    11. repec:dau:papers:123456789/12236 is not listed on IDEAS
    12. Paul Dourgnon & Florence Jusot & Romain Fantin, 2012. "Payer nuit gravement à la santé : une étude de l’impact du renoncement financier aux soins sur l’état de santé," Post-Print hal-01593811, HAL.
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