Abstract:

In this study, the relationship between suicide and socio-economic determinants for 26 regions taking part at the NUTS 2 level in Turkey was investigated and estimated by dynamic panel data analysis by considering the years 2004-2019. For this purpose, socio-economic factors affecting suicide were analyzed with different models by separating them according to gender with the generalized moment method (GMM) which was developed by Arellano and Bond. Three models were estimated as female, male and general by including the GDP variable, and also, three models were estimated as female, male and general without the GDP variable . To measure the significance of the coefficients; The Walt test, the Sargan test, which shows whether the instrumental variables are used correctly or not, and the Arellano and Bond autocorrelation tests to determine the autocorrelation problem were carried out. The Chow Test was used to measure differences by gender. It was concluded that marriage, labor force participation and GDP variables had a negative effect on suicide. It was concluded that divorce and presuicidal syndrome had a positive effect on suicide. It has been observed that men especially react strongly to divorce. It has been proven that the results differ by gender. It has been found that the unemployment environment that occurs during crisis periods has an increasing effect on suicide.

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