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. 2015 Jan 31;5:1. doi: 10.1186/s13561-015-0041-y

Table 3.

Bayesian model averaging – determinants of suicide

Suicide Suicide (M) Suicide (F) Suicide rate Suicide rate (M) Suicide rate (F)
PIPs Sign PIPs Sign PIPs Sign PIPs Sign PIPs Sign PIPs Sign
Dependency ratio 1.00 + 1.00 + 0.85 - 0.03 0.02 0.25
Unemployment rate 1.00 - 1.00 - 1.00 - 1.00 - 1.00 - 1.00 -
Female labor participation 1.00 + 1.00 + 0.00 0.00 1.00 + 1.00 +
Divorce rate 0.06 0.09 1.00 + 1.00 + 0.00 0.00
GDP per Capita 1.00 + 1.00 + 1.00 + 1.00 + 1.00 + 1.00 +
GDP growth 1.00 - 0.14 1.00 - 1.00 - 1.00 - 1.00 -
Gini Index 1.00 + 1.00 + 1.00 + 0.58 - 0.53 - 0.94 -
Low income 0.09 0.99 + 0.00 1.00 + 1.00 + 1.00 +
Alcohol sales 0.72 + 0.00 1.00 + 1.00 + 1.00 + 1.00 +
Total migration 0.00 0.00 0.45 0.00 0.00 0.00
R-squared 0.98 0.98 0.95 0.95 0.95 0.94

Note: The dependent variable corresponds to different variants of suicide. The variables’ description is in the main text. The BMA analysis yields the posterior probabilities of inclusion (PIPs) and the sign certainty index of a relationship. A sign is given to the PIPs greater than 0.5. No sign means the sign of estimated relationship being uncertain.