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This study by Rachel Polimeni, David Levine, and Ian Ramage investigates the factors influencing the purchase of SKY Micro-Health Insurance in Cambodia. By conducting qualitative interviews and quantitative surveys, the analysis aims to uncover who buys insurance, assessing variables like wealth, risk aversion, public trust, and peer influence. The findings indicate that users tend to be slightly wealthier individuals facing high future healthcare costs, while highlighting that trust in public facilities and peer effects significantly impact insurance uptake. This research presents critical insights for improving insurance accessibility in rural settings.
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Who Buys Sky?: Rachel Polimeni University of California, Berkeley David Levine University of California, Berkeley Ian Ramage Domrei Research and Consulting Supported by Grants from: AFD, USAID, CEDA, Fung Special thanks to GRET and SKY for their participation Sky Evaluation Dissemination Meeting 4-5 October, 2011 Phnom Penh, Cambodia
Goldilocks problem • If only the rich and healthy buy insurance, then limited social benefit • If primarily those with high future health care costs buy insurance, then not financially viable • Like Goldilocks, want “Just right” mix of customers
Our analysis • Who buys SKY Micro-health insurance? Is it: • Rich? • Risk averse? • Trust public facilities? • Peer effects? • High expected health care costs? • Does higher price affect self-selection? • Who drops out of SKY?
Methodology • Qualitative • In depth interviews with 164 households • All SKY insurance members or once members • Not in villages with randomized evaluation • Quantitative • One-hour questionnaire with over 5000 households • Half offered large discount for insurance • Around 1500 SKY members
Statistical analysis • SKY member = F( wealth risk aversion few other options to pay past health and health care peer effects) Compared to 25% average uptake.
Are SKY members the rich? • SKY members are slightly richer than non-members • And non-members are slighly poorer: • “My family didn’t join SKY immediately because I didn’t have enough money to pay the premium.” • But very few SKY members are prosperous • Recall how few “prosperous” there are in rural Cambodia
Risk averse? • “I stay with SKY in case of a serious disease. SKY provides strong support for my family because we can never know clearly when we are going to get a serious disease.”
Risk averse? • Our survey measures of risk aversion do not predict higher uptake • Scenario question of whether you would take a riskier job for more pay • Self-report not having gambled recently • (wrong sign!)
Risk averse? • Many did not understand SKY • “What’s the point of joining SKY and paying every month because nobody gets sick every single month?”
Trust public facility? • 2 point increase in health center quality (about 1s.d. on a 25 point scale) raises uptake 3.0 percentage points***
Lack other options • More uptake if limited self-insurance options: no family who would help, no zero-interest loan, etc. • “I joined with SKY as a protection for the future when we might have a serious disease, especially because my family doesn’t have the money to pay if we get a serious disease.”
Peer effects • Having a neighbor with a recent large health expense raised uptake 5 percentage points (P < .10)
Peer effects • Increases uptake: “I joined SKY because I saw that SKY really helps and supports its members...For example, SKY gave money to a SKY member-who had someone in their family die • Reduces uptake: “I heard people in my village say that joining SKY is not useful and that it is a waste of money.”
High expected costs? • SKY members are not the elderly • Member in poor self-reported health 12.6 percentage points more likely to join • Major health shock 2-4 months prior to meeting added 6 percentage points • Largely due to those who used public care
Quantitative: Selection by Price Compare utilization of households that purchase SKY at lower price (large discount) versus the regular price Use SKY’s data on utilization of its members Theory predicts: No self-selection when zero price (and all join) Higher price induces more self-selection of those who expect high utilization
Results: Utilization by Price In the 3 months following SKY purchase, households who paid more were: 11 p.p.** more likely to visit health center 11 p.p.** more likely to visit hospital 41%** higher costs at public facilities Differences remained after controlling for baseline characteristics 11 pp**, 8.5 pp*, 33%**, respectively
Implication • SKY is attracting people who cost at least 40% or more > average rural Cambodian • Good news: Helping those who need it • Challenge: How to stay in business because the resulting higher price discourages those with average expected health care costs?
Some Lessons • Targeting • Not much selection of the low cost (rich or cautious & healthy) • Those with high expected health care costs buy insurance more often • The challenge, part 1 • Insurance still unattractive to most in rural Cambodia • The challenge, part 2 • SKY passes high expenditures to higher prices, • further lowering demand by those with low expected costs.
Opportunities • Improving public care important for uptake and retention • Word of mouth referrals are important • Need to encourage understanding of SKY • Trial period or discounts may encourage hesitant buyers
Qualitative: Why Drop? • Poor quality of care • Unavailability of drugs • Rude staff • Perceived or real poor treatment • Did not understand insurance: drop because no one ill • Could not afford premium • Heard negative things about SKY