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

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 tra...

Full description

Saved in:
Bibliographic Details
Main Authors: Grinberger, A. Yair (Author) , Samuels, Peleg (Author)
Format: Article (Journal)
Language:English
Published: 30 May 2018
In: International journal of disaster risk reduction
Year: 2018, Volume: 31, Pages: 419-434
DOI:10.1016/j.ijdrr.2018.05.021
Online Access:Verlag, Volltext: https://doi.org/10.1016/j.ijdrr.2018.05.021
Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S2212420918306514
Get full text
Author Notes:A. Yair Grinberger, Peleg Samuels
Description
Summary: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.
Item Description:Gesehen am 15.05.2019
Physical Description:Online Resource
DOI:10.1016/j.ijdrr.2018.05.021