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Modeling the labor market in the aftermath of a disaster: Two perspectives

  • A. Yair Grinberger*
  • , Peleg Samuels
  • *Corresponding author for this work
  • Hebrew University of Jerusalem
  • Heidelberg University 

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

This paper presents two opposite perspectives on the labor market in the aftermath of a disaster. The first posits a production sector that is non-tradeable and a labor market with total mobility. This is modeled using agent based simulation. The second presents a production sector that is fully tradeable and a labor market that is perfectly immobile. This is modeled using traditional micro-economic modeling and numerical simulation. Outcomes from the two approaches are compared. In the no-disaster case, participation rates and wages under both approaches settle down to a low-level equilibrium albeit at different rates. In the case of a disaster, outcomes are very different. Under the agent based model labor market mobility results in solutions being found outside the area. In the micro-economic approach workers absorb the recovery process within the area readjusting their demand for labor. When population movement is introduced the system reorganizes at a new equilibrium. The results highlight first, the importance of labor mobility and flexibility and second, the divergent absorption costs in determining the long-term outcomes of a disaster.

Original languageEnglish
Pages (from-to)419-434
Number of pages16
JournalInternational Journal of Disaster Risk Reduction
Volume31
DOIs
StatePublished - Oct 2018
Externally publishedYes

Funding

FundersFunder number
Ministry of Science, Technology and SpaceDIM2SEA

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 8 - Decent Work and Economic Growth
      SDG 8 Decent Work and Economic Growth

    Keywords

    • Adjustment
    • Agent based simulation
    • Equilibrium
    • Labor markets
    • Numerical simulation

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