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The optimal subsidy on preventive expenditures is shown to depend on the combined impacts of misperception, externalities and self-selection.
Moreover, the percentage of expenditures is shown to decrease 15.95% for households in the lowest income quintile after NHI in Table 3.
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These expenditures are shown on the debit side of the balance.
Adjusted health plan and beneficiary out-of-pocket prescription drug expenditures are shown in Table 3.
Expenditures were shown to have a skewed distribution: whereas some participants (32%) had zero expenditures, there was a small number of people with high drug expenditures, which is typically observed for health care cost data [ 32, 33].
* Mean units of use † Expressed as 2003 US$ ‡ = p ≤ 0.05 Multivariate regression results identifying factors associated with resource use and log-transformed expenditures are shown in Tables 3 and 4, respectively.
The results of our matched regression of outpatient service utilization, self-treatment and respective expenditures are shown in Table 3.> After matching, MIP-insured individuals with chronic illnesses did not have statistically significant higher odds of using formal outpatient services compared to non-MIP insured individuals with a chronic illness.
The distribution of logarithmic prescription drug expenditure is shown in figure 1.
The relationship between households' proportion, social class, monthly income, and health expenditure is shown in Table 4.
The structure of the health sector outturns as presented in the estimates of revenue and expenditure is shown in Table 1.
Energy and macronutrient intake and energy expenditure are shown in Table 2.
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