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KMID : 0387320150250030240
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Korean Journal of Health Policy and Administration
2015 Volume.25 No. 3 p.240 ~ p.251
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Factors Associated with Dental Revenue and Income of Self-Employed Dentist by Using a Quantile Regression Method
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Choi Hyung-Kil
Kim Myeng-Ki
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Abstract
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Background: Dentist’s income is quite variable. We investigate the factors underlying the distribution of dental revenue and dentist income.
Methods: Financial and structural variables of private dental practices(N=13,967) were examined with 2010 Economic Census mi-crodata which include non-insurance revenue. We conducted quantile regression method(QRM) and ordinary least square(OLS) in treating skewness and heteroskedasticity of distributions. The effective estimation for the upper and lower range of distribution be-comes possible by QRM.
Results: Mid-career dentists are shown to have higher revenue and income. Male dentists achieve the higher revenue and income than female dentists in all quantiles. Group practices show lower income per owner than solo practices significantly. The revenue and income are increased with increasing size of clinics. The high cost in renting the clinic office is found to have a big positive effect on the revenue but a little positive effect on the income. Interestingly the density of dentists shows negative effect on the lowest quantile of the revenue but positive effect on the highest quantile. The lowest quantile of the revenue in the capital areas have the relatively high revenue. The lowest quantile of the income in metropolitan city show higher income than those in other areas signifi-cantly.
Conclusion: The suggested QRM is shown to have more effective and efficient tool in finding out determinants of dentists’ revenue and income of our concern. The results of this study are expected to be employed for dentists preparing for the opening practices in their organizational settings and locational selections. The distributional efficiency of dental human resources could be accom-plished if policy makers guide dentists with this knowledge.
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KEYWORD
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Dental revenue, Income, The density of dentists, Location of opening, Quantile regression
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