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What are Estimates?01:06

What are Estimates?

It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
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The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
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Are there differences between unconditional and conditional demand estimates? Implications for future research and

Budi Hidayat1

  • 1Department of Health Policy and Administration, Faculty of Public Health, University of Indonesia, Indonesia. b_hidayat@hotmail.com

Cost Effectiveness and Resource Allocation : C/E
|August 7, 2008
PubMed
Summary

Health insurance significantly increases healthcare demand in Indonesia, with unconditional estimates showing higher impacts than conditional ones. The positive effect is most pronounced among lower-income groups, supporting national health insurance initiatives.

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Area of Science:

  • Health economics
  • Healthcare utilization
  • Econometrics

Background:

  • Estimating healthcare demand is challenging due to sample selectivity and illness under-reporting.
  • This study investigates the impact of health insurance on healthcare demand in Indonesia.

Purpose of the Study:

  • To compare healthcare demand estimates using both unconditional and conditional samples.
  • To assess the effect of health insurance on healthcare utilization across different provider types and income groups in Indonesia.

Main Methods:

  • Multinomial logit regression was applied to analyze outpatient care demand.
  • Data from the Indonesian Family Life Survey (N=16485 unconditional, N=5055 conditional) was used.
  • The recycling prediction method estimated utilization rates based on insurance and income.

Main Results:

  • Both unconditional and conditional estimates showed similar covariate directions.
  • Unconditional estimates indicated higher insurance effects (7.5% public, 20% private providers) than conditional ones.
  • Health insurance positively impacts healthcare demand, especially for the lowest income group.

Conclusions:

  • Conditional estimates avoid selection bias but yield smaller insurance demand effects.
  • Health insurance programs enhance access to healthcare, justifying the development of national health insurance.
  • The choice between conditional and unconditional estimates depends on study objectives.