Do Refugees with Better Mental Health Better Integrate? Evidence from the Building a New Life in Australia Longitudinal Survey

58 Pages Posted: 19 May 2022

See all articles by Hai-Anh Dang

Hai-Anh Dang

World Bank - Development Data Group (DECDG); IZA Institute of Labor Economics; Indiana University Bloomington - School of Public & Environmental Affairs (SPEA); Global Labor Organization (GLO); University of Economics Ho Chi Minh City

Trong-Anh Trinh

World Bank

Paolo Verme

World Bank Group; University of Turin - Department of Economics

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Abstract

Hardly any evidence currently exists on the causal effects of mental illness on refugee labor market outcomes. We offer the first study on this topic in the context of Australia, one of the host countries with the largest number of refugees per capita in the world. Analyzing the Building a New Life in Australia longitudinal survey, we exploit the variations in traumatic experiences of refugees interacted with time as an instrument for refugee mental health. We find that worse mental health, as measured by a one standard deviation increase in the Kessler mental health score, reduces the probability of employment by 14.1% and labor income by 26.8%. We also find some evidence of adverse impacts of refugees' mental illness on their children's mental health and education performance. These effects appear more pronounced for refugees that newly arrive or are without social networks, but they may be ameliorated with government support. Our findings suggest that policies that target refugees' mental health may offer a new channel to improve their labor market outcomes.

Keywords: refugees, mental health, labor outcomes, instrumental variable, BNLA longitudinal survey, Australia

JEL Classification: I15, J15, J21, J61, O15

Suggested Citation

Dang, Hai-Anh H. and Trinh, Trong-Anh and Verme, Paolo, Do Refugees with Better Mental Health Better Integrate? Evidence from the Building a New Life in Australia Longitudinal Survey. IZA Discussion Paper No. 14766, Available at SSRN: https://ssrn.com/abstract=4114303 or http://dx.doi.org/10.2139/ssrn.4114303

Hai-Anh H. Dang (Contact Author)

World Bank - Development Data Group (DECDG) ( email )

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Indiana University Bloomington - School of Public & Environmental Affairs (SPEA) ( email )

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Global Labor Organization (GLO) ( email )

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University of Economics Ho Chi Minh City ( email )

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Trong-Anh Trinh

World Bank

Paolo Verme

World Bank Group ( email )

Washington, DC 20433
United States

University of Turin - Department of Economics ( email )

Via Po, 53
Torino, 10124
Italy

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