Literature DB >> 20667618

Determinants of suicides in Denmark: evidence from time series data.

Antonio R Andrés1, Ferda Halicioglu.   

Abstract

This research examines empirically the determinants of suicides in Denmark over the period 1970-2006. To our knowledge, there exist no previous study that estimates a dynamic econometric model of suicides on the basis of time series data and cointegration framework at disaggregate level. Our results indicate that suicide is associated with a range of socio-economic factors but the strength of the association can differ by gender. In particular, we find that a rise in real per capita income and fertility rate decreases suicides for males and females. Divorce is positively associated with suicides and this effect seems to be stronger for men. A fall in unemployment rates seems to lower significantly suicides in males and females. Policy implications of suicides are discussed with some appropriate recommendations.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20667618     DOI: 10.1016/j.healthpol.2010.06.023

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  4 in total

1.  Economic hardship and suicide mortality in Finland, 1875-2010.

Authors:  Marko Korhonen; Mikko Puhakka; Matti Viren
Journal:  Eur J Health Econ       Date:  2014-12-02

2.  The social and economic determinants of suicide in Canadian provinces.

Authors:  João T Jalles; Martin A Andresen
Journal:  Health Econ Rev       Date:  2015-01-31

3.  Suicide risk among refugees compared with non-refugee migrants and the Swedish-born majority population.

Authors:  Anna-Clara Hollander; Alexandra Pitman; Hugo Sjöqvist; Glyn Lewis; Cecilia Magnusson; James B Kirkbride; Christina Dalman
Journal:  Br J Psychiatry       Date:  2020-12       Impact factor: 9.319

4.  The impact of temporary contracts on suicide rates.

Authors:  Ricard Grèbol Jiménez; Judit Vall Castelló
Journal:  PLoS One       Date:  2021-05-26       Impact factor: 3.240

  4 in total

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