Economic and Social Conditions and Depressive Disorders: Case Study of Thai Provincial Level Data (in Thai)

Attasuda Lerskullawat and Thitima Puttitanun

Asian Journal of Applied Economics/ Applied Economics Journal, 2022, vol. 29, issue 1, 26-55

Abstract: This research aims to discover the impacts of economic and social conditions on depressive disorder in Thailand using provincial level data and in different regions in Thailand. The study uses data from 77 provinces in Thailand from 2015 to 2019. The results of the panel data model show that economic and social factors including economic conditions, poverty, education, technology infrastructure, risky health behavior in terms of drug addiction, and crime problems significantly affect the depressive disorder rate in Thailand. Results from regional levels show that unemployment significantly affects depressive disorder in the southern regions. With regard to social factors, education shows a significant effect on depressive disorder in the northern region, technology infrastructure mainly affects the northern and northeastern regions, risky health behavior in terms of drug addiction significantly affects the northern, central, and southern regions, and crime problems mainly affect the southern region. In conclusion, this study finds that social factors have more effect on the depressive disorder rate than economic factors. Moreover, the depressive disorder rate in the northern region is mainly affected by social factors, in contrast to the other regions.

Keywords: depressive disorder; economic factors; social factors; provincial data; Thailand (search for similar items in EconPapers)
JEL-codes: A14 I12 I15 Z10 Z13 (search for similar items in EconPapers)
Date: 2022
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