Gender's effect on willingness-to-pay for community-based insurance in Burkina Faso.
The purpose was to study gender's effect on willingness-to-pay (WTP) for community-based insurance (CBI) in order to provide information for deciding enrolment unit and setting premium in Burkina Faso. A two-stage cluster sampling was used in the household survey, with each household having the same probability of being selected. One thousand one hundred and seventy-eight men and 1236 women in the 800 households were interviewed. The bidding game approach was used to elicit WTP. We found that compared to male, female had less education, lower income and expenditure, less episodes of diseases and lower ratio of becoming household head, but higher marriage rate. These characteristics influenced the WTP difference between men and women. Men were willing to pay 3666 CFA ($4.89) to join CBI, 928 CFA higher than women were. Education and economic status positively influenced WTP, implying higher years of schooling and economic status and higher WTP. Age and distance to health facility negatively influenced WTP, thus higher age and longer distance and less WTP. Based on the results from this study, we suggest that CBI should be enrolled on the basis of households or villages in order to protect vulnerable persons, such as the aged, women and the poor. In setting premium a policy-maker needs to take into account costs of the CBI benefits package, possible subsidies from government and other agencies and WTP information. WTP should never be taken as a premium because it only provides some information for the respondents' financial acceptability for a certain benefits package.
Dong
Hengjin
H
Department of Tropical Hygiene and Public Health, University of Heidelberg, Im Neuenheimer Feld 324, D-69120, Heidelberg, Germany. donghengjin@yahoo.edu
Kouyate
Bocar
B
Snow
Rachel
R
Mugisha
Frederick
F
Sauerborn
Rainer
R
D000328:Adult; D000368:Aged; D001294:Attitude to Health; D002050:Burkina Faso; D005191:Family Characteristics; D005260:Female; D005382:Financing, Personal / Q000706:statistics & numerical data*; D006801:Humans; D019458:Insurance Coverage / Q000191:economics*; D007348:Insurance, Health / Q000191:economics*; D008297:Male; D008571:Men / Q000523:psychology*; D008875:Middle Aged; D015999:Multivariate Analysis; D011907:Rate Setting and Review; D012959:Socioeconomic Factors; D014930:Women / Q000523:psychology*