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Table 3 Bayesian model averaging – determinants of suicide

From: The social and economic determinants of suicide in Canadian provinces

 

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

 
  1. 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.