A dynamic econometric model of suicides in Turkey

This study is the first attempt to empirically examine the determinants of suicides in the case of Turkey using the time-series data for the period 1974–2007. This research proposes that the suicides in Turkey are related to some economic and social factors and they exhibit a dynamic relationship amongst them. Auto-Regressive Distributed Lag (ARDL) approach to cointegration testing procedure is employed to obtain the short-run and long-run elasticities of suicides with respect to per capita real income, divorce rates, urbanization and liquidation. The empirical results reveal that the urbanization has the highest impact on suicides, which is followed by per capita real income and liquidation. The results also provide some important policy recommendations to reduce suicides.     

Socio-economic determinants of suicide in Japan

Japan has the highest suicide rates among the OECD countries and this public health problem seems to be accelerating in over the recent decades. Investigating and understanding the suicidal behaviour is of crucial importance to society and health policy makers. Such an investigation could provide with useful information for those responsible in formulating the national policies on suicide prevention. This study estimates dynamic econometric models for total, male and female suicides in Japan for the period of 1957–2009. Using the ARDL approach to cointegration, we find that the associations of suicide with sociological factors (divorce and fertility rates) were stronger than those with economic factors (per capita GDP and unemployment) for females.