Abstract
BackgroundIn this paper we investigate the causal relationship between suicide and a variety of socioeconomic variables. We use a panel data set of Canadian provinces, 2000 – 2008, and a set of recent panel econometric techniques in order to account for a variety of statistical specification issues.ResultsWe find that the social and economic determinants of suicide in Canadian provinces vary across total, male, and female counts (natural logarithms) and rates. We also find that the results vary depending on the econometric method employed. As such, separate analyses for males and females is necessary for a better understanding of the factors that impact suicide (consistent with previous research) and that the choice of statistical method impacts the results. Lastly, it is important to note the particular provinces are driving the results for particular socioeconomic variables.ConclusionsSuch a result, if generalizable, has significant implications for suicide prevention policy.
Highlights
In this paper we investigate the causal relationship between suicide and a variety of socioeconomic variables
In this paper we empirically investigate the relationship between suicide and a number of socioeconomic variables with a panel of the 10 Canadian provinces, 2000 – 2008, using a variety of estimation methods
Though we do find some of the expected relationships between these variables, there is variation in the results depending on the type of estimation procedure employed
Summary
In this paper we investigate the causal relationship between suicide and a variety of socioeconomic variables. Negative life events such as adverse financial circumstances and social isolation, loss of a loved one or interpersonal conflict, and stress caused by working roles may lead to increases in the suicide rate [3,4,5,6,7,8]. This model may be extended to explicitly consider human capital: when unemployed, for example, human capital no longer accumulates because on-the-job
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