An Agent-Based Model of Climate-Induced Agricultural Labor Migration

Ruohong Cai and Michael Oppenheimer

No 150972, 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. from Agricultural and Applied Economics Association

Abstract: Using an agent-based model, we simulate the climate-induced agricultural labor migration for alternative future climate scenarios. For each agent, the probability of migration is calculated as a function of a set of relevant factors using a logistic regression model. Historical U.S. agricultural employment data was used to calibrate the model. The simulation result showed that larger crop yield reduction induced by climate change tends to generate larger migration flows. Furthermore, we observed that the network effects tend to forecast a larger migration difference between alternative climate scenarios.

Keywords: Agricultural and Food Policy; Environmental Economics and Policy; Labor and Human Capital (search for similar items in EconPapers)
Pages: 24
Date: 2013
New Economics Papers: this item is included in nep-cmp, nep-env, nep-mig and nep-res
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea13:150972

DOI: 10.22004/ag.econ.150972

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