Moral Hazard or Pent-up Demand? Evidence from a Quasi-experiment Concerning the Introduction of Universal Health Coverage in Four Provinces of Thailand
Main Article Content
Abstract
Historically relatively few Thai people were covered by health insurance, and most medical treatment was inaccessible or expensive. The implementation of Universal Health Coverage (UHC) since 2001 has entitled everyone to affordable treatment. It was speculated that this would result in excess healthcare consumption – a moral hazard. The current study was designed to determine whether moral hazard existed here, and if so, its magnitude. The study used panel data relating to 1,129 individuals’ socioeconomic circumstances and utilization of healthcare services from 2000 to 2006 in four Thai provinces (Buriram, Chachoengsao, Lopburi and Sisaket). It compared the healthcare utilization of individuals before and after the implementation of UHC. Analysis was performed using a novel estimator, a nonlinear in Extended Two-Way Fixed Effect Difference in Differences (ETWFE DID), which was applied to individual panel data to investigate changes in individual behaviors before and after the introduction of UHC. The analysis provides evidence of a temporary 2.14% increase in outpatient utilization in previously uninsured individuals immediately following the introduction of UHC. The increase may be attributed to pent-up demand or “novelty factor”. There is no evidence of sustained moral hazard.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Callaway, B., & Sant’Anna, P. H. C. (2021). Difference-in-Differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI:10.1016/j.jeconom.2020.12.001
Callaway, B., Goodman-Bacon, A., & Sant'Anna, P. H. (2021). Difference-in-differences with a continuous treatment. Retrieved from https://arxiv.org/abs/2107.02637
Courbage, C., & de Coulon, A. (2004). Prevention and Private Health Insurance in the U.K. The Geneva Papers on Risk and Insurance. Issues and Practice, 29(4), 719-727. Retrieved from http://www.jstor.org/stable/41952792
De Chaisemartin, C., & D’Haultfœuille, X. (2020). Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects. American Economic Review, 110(9), 2964–2996. DOI: 0.1257/aer.20181169
De Chaisemartin, C., & D’Haultfoeuille, X. (2023). Two-way fixed effects and differences-in-differences with heterogeneous treatment effects: A survey. The Econometrics Journal, 26(3), C1-C30.
Ghislandi, S., Manachotphong, W., & Perego, V. M. (2015). The impact of Universal Health Coverage on health care consumption and risky behaviours: evidence from Thailand. Health Econ Policy Law, 10(3), 251-266. DOI:10.1017/S1744133114000334
Goodman-Bacon, A. (2021). Difference-in-differences with variation in treatment timing. Journal of Econometrics, 225(2), 254–277. DOI: 10.1016/j.jeconom.2021.03.014
Gruber, J., Hendren, N., & Townsend, R. M. (2014). The Great Equalizer: Health Care Access and Infant Mortality in Thailand. Am Econ J Appl Econ, 6(1), 91-107. DOI:10.1257/app.6.1.91
Iyavarakul, T. (2018). Ex ante and Ex post Moral Hazard in Public Health Insurance in Thailand. Development Economic Review, 12(1), 8-26.
Kim, J. H., Lee, K. S., Yoo, K. B., & Park, E. C. (2015). The differences in health care utilization between Medical Aid and health insurance: a longitudinal study using propensity score matching. PLoS One, 10(3), e0119939. DOI: 10.1371/journal.pone.0119939
Lei, X., & Lin, W. (2009). The New Cooperative Medical Scheme in rural China: does more coverage mean more service and better health? Health Econ, 18 Suppl 2, S25-46. DOI: 10.1002/hec.1501
Limwattananon, S., Neelsen, S., O'Donnell, O., Prakongsai, P., Tangcharoensathien, V., van Doorslaer, E., & Vongmongkol, V. (2015). Universal coverage with supply-side reform: The impact on medical expenditure risk and utilization in Thailand. Journal Of Public Economics, 121, 79-94. DOI: 10.1016/j.jpubeco.2014.11.012
Lucifora, C., & Vigani, D. (2018). Health care utilization at retirement: The role of the opportunity cost of time. Health Economics, 27(12), 2030-2050. DOI: 10.1002/hec.3819
Ma, J., Xu, J., Zhang, Z., & Wang, J. (2016). New cooperative medical scheme decreased financial burden but expanded the gap of income-related inequity: evidence from three provinces in rural China. International Journal for Equity in Health, 15(1), 72. DOI: 10.1186/s12939-016-0361-5
NaRanong, V., & NaRanong, A. (2006). Universal Health Care Coverage: Impacts of the 30-Baht Health-Care Scheme on the Poor in Thailand. TDRI Quarterly Review, 21(3), 3-10.
Panpiemras, J., Puttitanun, T., Samphantharak, K., & Thampanishvong, K. (2011). Impact of Universal Health Care Coverage on patient demand for health care services in Thailand. Health Policy, 103(2-3), 228-235. DOI: 10.1016/j.healthpol.2011.08.008
Srimuang, K., & Pholphirul, P. (2022). Moral Hazard and the Demand for Dental Treatment: Evidence from a Nationally Representative Survey in Thailand. Int J Dent, 2022, 2259038. DOI:10.1155/2022/2259038
Stanciole, A. E. (2008). Health Insurance and Lifestyle Choices: Identifying Ex Ante Moral Hazard in the US Market. The Geneva Papers on Risk and Insurance - Issues and Practice, 33(4), 627-644. DOI:10.1057/gpp.2008.27
Sun, L., & Abraham, S. (2021). Estimating dynamic treatment effects in event studies with heterogeneous treatment effects. Journal of Econometrics, 225(2), 175-199. DOI: 10.1016/j.jeconom.2020.09.006
Supakankunti, S. (2001). Determinants for Demand for Health Card in Thailand. HNP discussion paper series. Washington, DC: World Bank
Suraratdecha, C., Saithanu, S., & Tangcharoensathien, V. (2005). Is universal coverage a solution for disparities in health care? Health Policy, 73(3), 272-284. DOI: 10.1016/j.healthpol.2004.11.019
Tangcharoensathien, V., Prakongsai, P., Limwattananon, S., Patcharanarumol, W., & Jongudomsuk, P. (2008). Achieving Universal Coverage in Thailand: What Lessons Do We Learn? SSRN Electronic Journal. DOI: 10.2139/ssrn.1111870
Wooldridge, J. M. (2021). Two-way fixed effects, the two-way Mundlak regression, and difference-in-differences estimators. Available at SSRN 3906345. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3906345
Wooldridge, J.M. (2023). Simple approaches to nonlinear difference-in-differences with panel data. The Econometrics Journal, 26(3), C31-C66. DOI: 10.1093/ectj/utad016