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Change in Dental Visits among Eligible Children under the Impact of the Child Dental Benefits Schedule in Australia

Author

Listed:
  • Lan Nguyen
  • Connelly, Luke B.
  • Birch, Stephen
  • Ha Trong Nguyen

Abstract

This study aimed to evaluate the impact of the Child Dental Benefits Schedule (CDBS) on dental visits among eligible children and adolescents in Australia. The study analysed the data set from the birth cohort (B cohort) in the Longitudinal Study of Australian Children (LSAC). A difference-in-differences analysis was used to examine 22,985 observations in the period 2008-2018. The analyses showed that the CDBS policy had a statistically significant and positive impact on dental visits among eligible children and adolescents. There was a 6.1-6.4 percentage point increase (p-value

Suggested Citation

  • Lan Nguyen & Connelly, Luke B. & Birch, Stephen & Ha Trong Nguyen, 2025. "Change in Dental Visits among Eligible Children under the Impact of the Child Dental Benefits Schedule in Australia," GLO Discussion Paper Series 1575, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:1575
    as

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    File URL: https://www.econstor.eu/bitstream/10419/313181/1/GLO-DP-1575.pdf
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    References listed on IDEAS

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    1. Terence C. Cheng & Pravin K. Trivedi, 2015. "Attrition Bias in Panel Data: A Sheep in Wolf's Clothing? A Case Study Based on the Mabel Survey," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1101-1117, September.
    2. 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.
    3. Choi, Moonkyung Kate, 2011. "The impact of Medicaid insurance coverage on dental service use," Journal of Health Economics, Elsevier, vol. 30(5), pages 1020-1031.
    4. Anastasia Semykina & Jeffrey M. Wooldridge, 2018. "Binary response panel data models with sample selection and self‐selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(2), pages 179-197, March.
    5. Ikenwilo, Divine, 2013. "A difference-in-differences analysis of the effect of free dental check-ups in Scotland," Social Science & Medicine, Elsevier, vol. 83(C), pages 10-18.
    6. Baum, Frances E. & Laris, Paul & Fisher, Matthew & Newman, Lareen & MacDougall, Colin, 2013. "“Never mind the logic, give me the numbers”: Former Australian health ministers' perspectives on the social determinants of health," Social Science & Medicine, Elsevier, vol. 87(C), pages 138-146.
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    More about this item

    Keywords

    Dental Care; Government Programs; Children; Adolescents; Longitudinal Studies;
    All these keywords.

    JEL classification:

    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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