Citation

Sugano S, Matsuki Y. Appl. Econ. Lett. 2014; 21(11): 723-726.

Copyright

(Copyright © 2014, Informa - Taylor and Francis Group)

DOI

10.1080/13504851.2014.881960

PMID

unavailable

Abstract

This article investigates the nexus between suicide and socio-economic factors in Japan using municipality-level data using Poisson-based regression methods. We demonstrate the advantage of this method over the OLS approach and show that our method yields reasonable results compared to OLS. Our results show that economic difficulty and social isolation are significantly associated with suicide rate, and accessibility to hospitals can reduce suicide rates. © 2014 © 2014 Taylor & Francis.

Language: en

Keywords

suicide; Japan; regression analysis; socioeconomic conditions; Poisson ratio; Poisson regression; count data; socioeconomic factors