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Int. J. Environ. Res. Public Health 2010, 7(1), 9-27; doi:10.3390/ijerph7010009
Article

The Selection of an Appropriate Count Data Model for Modelling Health Insurance and Health Care Demand: Case of Indonesia

1,2,*  and 3
Received: 30 November 2009; Accepted: 20 December 2009 / Published: 29 December 2009
(This article belongs to the Special Issue Health Economics)
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Abstract: We apply several estimators to Indonesian household data to estimate the relationship between health insurance and the number of outpatient visits to public and private providers. Once endogeneity of insurance is taken into account, there is a 63 percent increase in the average number of public visits by the beneficiaries of mandatory insurance for civil servants. Individuals' decisions to make first contact with private providers is affected by private insurance membership. However, insurance status does not make any difference for the number of future outpatient visits.
Keywords: health insurance; demand for health care; endogeneity; count data models health insurance; demand for health care; endogeneity; count data models
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Hidayat, B.; Pokhrel, S. The Selection of an Appropriate Count Data Model for Modelling Health Insurance and Health Care Demand: Case of Indonesia. Int. J. Environ. Res. Public Health 2010, 7, 9-27.

AMA Style

Hidayat B, Pokhrel S. The Selection of an Appropriate Count Data Model for Modelling Health Insurance and Health Care Demand: Case of Indonesia. International Journal of Environmental Research and Public Health. 2010; 7(1):9-27.

Chicago/Turabian Style

Hidayat, Budi; Pokhrel, Subhash. 2010. "The Selection of an Appropriate Count Data Model for Modelling Health Insurance and Health Care Demand: Case of Indonesia." Int. J. Environ. Res. Public Health 7, no. 1: 9-27.



Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert