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Testing for Asymmetric Information in the Public Health Insurance Market in Vietnam: Towards the Accomplishment of Universal Health Insurance Coverage

Author

Listed:
  • Hiroyuki Yamada

    (Keio University)

  • Anh Tuyet Nguyen

    (Independent Researcher)

  • Yasuharu Shimamura

    (Aoyama Gakuin University)

  • Midori Matsushima

    (University of Tsukuba)

Abstract

This study investigates whether asymmetric information in the public health insurance market remains empirically relevant as coverage approaches universal levels. Focusing on Vietnam’s public health insurance system — characterized by a uniform benefit package and a gradual transition toward universal health coverage — we analyze five waves of nationally representative survey data spanning 2004 to 2020. Following the methodology of Chiappori and Salanié (2000), we test for a conditional correlation between insurance enrollment and realized health risks. Our results consistently demonstrate the persistence of asymmetric information throughout the study period, even as aggregate coverage among working-age adults exceeded 80% by 2020. Subgroup analyses reveal that while selection effects weaken in groups subject to near-automatic enrollment, such as government employees and students, they remain deeply entrenched among private-sector workers, the self-employed, and dependents who retain greater discretion in participation. These findings underscore that high aggregate coverage does not mechanically eliminate informational frictions. Consequently, the study highlights the critical importance of enrollment design and effective enforcement mechanisms in sustaining robust risk pooling and financial viability during the final stages of the transition to Universal Health Coverage.

Suggested Citation

  • Hiroyuki Yamada & Anh Tuyet Nguyen & Yasuharu Shimamura & Midori Matsushima, 2026. "Testing for Asymmetric Information in the Public Health Insurance Market in Vietnam: Towards the Accomplishment of Universal Health Insurance Coverage," Keio-IES Discussion Paper Series DP2026-001, Institute for Economics Studies, Keio University.
  • Handle: RePEc:keo:dpaper:dp2026-001
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    File URL: https://ies.keio.ac.jp/upload/DP2026-001_EN.pdf
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    References listed on IDEAS

    as
    1. Pierre‐André Chiappori & Bruno Jullien & Bernard Salanié & François Salanié, 2006. "Asymmetric information in insurance: general testable implications," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 783-798, December.
    2. Matthew Jowett & Anil Deolalikar & Peter Martinsson, 2004. "Health insurance and treatment seeking behaviour: evidence from a low‐income country," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 845-857, September.
    3. Liran Einav & Amy Finkelstein, 2011. "Selection in Insurance Markets: Theory and Empirics in Pictures," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 115-138, Winter.
    4. Gourieroux, Christian & Monfort, Alain & Renault, Eric & Trognon, Alain, 1987. "Generalised residuals," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 5-32.
    5. Liran Einav & Amy Finkelstein & Mark R. Cullen, 2010. "Estimating Welfare in Insurance Markets Using Variation in Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 877-921.
    6. Wang, Hong & Zhang, Licheng & Yip, Winnie & Hsiao, William, 2006. "Adverse selection in a voluntary Rural Mutual Health Care health insurance scheme in China," Social Science & Medicine, Elsevier, vol. 63(5), pages 1236-1245, September.
    7. Pierre‐André Chiappori & Bruno Jullien & Bernard Salanié & François Salanié, 2006. "Asymmetric information in insurance: general testable implications," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 783-798, December.
    8. Pierre-Andre Chiappori & Bernard Salanie, 2000. "Testing for Asymmetric Information in Insurance Markets," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 56-78, February.
    9. Amy Finkelstein & Kathleen McGarry, 2006. "Multiple Dimensions of Private Information: Evidence from the Long-Term Care Insurance Market," American Economic Review, American Economic Association, vol. 96(4), pages 938-958, September.
    10. Marcelo Resende & Rodrigo Zeidan, 2010. "Adverse selection in the health insurance market: some empirical evidence," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(4), pages 413-418, August.
    11. Parmar, Divya & Souares, Aurélia & de Allegri, Manuela & Savadogo, Germain & Sauerborn, Rainer, 2012. "Adverse selection in a community-based health insurance scheme in rural Africa: implications for introducing targeted subsidies," LSE Research Online Documents on Economics 46664, London School of Economics and Political Science, LSE Library.
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    Keywords

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    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements

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