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The Effect of the Great East Japan Earthquake on the Evacuees' Unemployment and Earnings

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  • Izumi Yamasaki
  • Rubkwan Thurmanpornphilas
  • Miho Takizawa
  • Tomohiko Inui

Abstract

This study analyzes the impact of evacuation status on labor market outcomes such as employment and earnings following the Great East Japan Earthquake by using annual microdata from the 2012 Employment Status Survey in Japan. This is the first research that comprehensively examines the effect of evacuation status on labor market performance for evacuees of the Great East Japan Earthquake. The evacuation status categories are (1) evacuated and still away from home, (2) evacuated and moved to another place, (3) evacuated and already returned home, and (4) did not evacuate. We applied a probit model to estimate unemployment and an ordinary least squares regression to estimate earnings. To estimate unemployment and earnings, we also used propensity score matching to control for selection into evacuation status on observable characteristics. After controlling for selection into evacuation categories on observable characteristics, our findings show that those still away from home and those who moved tend to have the worst labor market performance in terms of probability of unemployment and annual earnings. The estimates suggest that we need a specific employment support for those who evacuated especially for those who are still away from home and those who moved to another place.

Suggested Citation

  • Izumi Yamasaki & Rubkwan Thurmanpornphilas & Miho Takizawa & Tomohiko Inui, 2017. "The Effect of the Great East Japan Earthquake on the Evacuees' Unemployment and Earnings," Working Papers e112, Tokyo Center for Economic Research.
  • Handle: RePEc:tcr:wpaper:e112
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    References listed on IDEAS

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    Cited by:

    1. Hajime Tanaka & Michael C Huang, 2021. "Impact assessment and a fiscal recovery policy for tsunami risk: GIS and the general equilibrium approach in Hakodate city, Japan," Environment and Planning B, , vol. 48(5), pages 1144-1160, June.

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