Abstract

This study proposes a methodology for analysis of catastrophic spending on health in statistically under-developed countries. A binary logistic regression model, based on data from households with reported non-zero expenditure on health, is proposed for the estimation of the likelihood of spending on health for all households irrespective of whether they spent on health or not within the reference period for the survey.

Keywords:

Binary logistic regression, catastrophic health expenditure, discriminant analysis, survey reference period,

References

Competing interests

The authors have no competing interests.

Open Access Policy

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Copyright

The authors have no competing interests.