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The economic consequences of health shocks, Volume 1
Author:Wagstaff, Adam; Country:Vietnam;
Date Stored:2005/06/16Document Date:2005/06/01
Document Type:Policy Research Working PaperSubTopics:Environmental Economics & Policies; Rural Poverty Reduction; Inequality; Health Economics & Finance; Safety Nets and Transfers
Language:EnglishRegion:East Asia and Pacific
Report Number:WPS3644Collection Title:Policy, Research working paper ; no. WPS 3644
Volume No:1  

Summary: While there is a great deal of anecdotal evidence on the economic effects of adverse health shocks, there is relatively little hard empirical evidence. The author builds on recent empirical work to explore in the context of postreform Vietnam two related issues: (1) how far household income and medical care spending responds to health shocks, and (2) how far household consumption is protected against health shocks. The results suggest that adverse health shocks - captured by negative changes in body mass index (BMI) - are associated with reductions in earned income. This appears to be only partly - if at all - due to a reverse feedback from income changes to BMI changes. By contrast, there is a hint - the relevant coefficient is not significant - that adverse BMI shocks may result in increases in unearned income. This may reflect additional gifts, remittances, and so on, from family and friends following the health shock. Medical spending is found to increase following an adverse health shock, but not among those with health insurance. The impact for the uninsured is large, equal in absolute size to the income loss associated with a BMI shock. The lack of impact for the insured points to complete insurance against the medical care costs associated with health shocks, and is consistent with the very generous coverage of Vietnam's health insurance program in this period. The question arises: have Vietnamese households been able to hold their food and nonfood consumption constant in the face of these income reductions and extra medical care outlays? The results suggest not. For the sample as a whole, both food and nonfood consumption are found to be responsive to health shocks, indicating an inability to smooth nonmedical consumption in the face of health shocks. Further analysis reveals some interesting differences across different groups within the sample. Households with insurance come no closer to smoothing nonmedical consumption than uninsured households. Furthermore, and somewhat counterintuitively, better-off households - including insured households - fare worse than poorer households in smoothing their nonmedical consumption in the face of health shocks, despite the fact that in the case of insured households there are no medical bills associated with an adverse health event. Why the poor rely on dissaving and borrowing to such an extent, and do not apparently reduce their food and nonfood consumption following an adverse health shock while the better-off do, may be because the levels of food and nonfood consumption of the poor are simply too low relative to basic needs to enable them to cut back in the face of an adverse BMI shock.

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