A STOCHASTIC MODEL OF MIGRANT RESCUE IN THE MEDITERRANEAN SEA

Amitrajeet Batabyal and Hamid Beladi

Regional Science Inquiry, 2016, vol. VIII, issue 1, 79-83

Abstract: We theoretically study the rescue of destitute migrants seeking to reach Europe on boats across the Mediterranean Sea. To this end, we first construct a discrete-time Markov chain (DTMC) model of a stylized rescue process. Second, we specify the one-step transition probabilities of the DTMC. Third, we delineate a recursive algorithm that can be used to compute the limiting or steady-state probabilities of our DTMC model. Finally, we use these limiting probabilities to compute the average throughput. This metric is an efficiency measure and it tells us the long run expected number of migrants that are rescued by the stylized rescue process under study.

Keywords: Markov Chain; Mediterranean Sea; Migrant; Rescue; Uncertainty (search for similar items in EconPapers)
JEL-codes: D81 J61 (search for similar items in EconPapers)
Date: 2016
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http://www.rsijournal.eu/ARTICLES/June_2016/1.6.pdf (application/pdf)

Related works:
Working Paper: A Stochastic Model of Migrant Rescue in the Mediterranean Sea (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:hrs:journl:v:viii:y:2016:i:1:p:79-83

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