Posts Tagged ‘J61’

THE EMPLOYABILITY AND WELFARE OF FEMALE LABOR MIGRANTS IN INDONESIAN CITIES

Devanto SHASTA PRATOMO

Senior Lecturer, Brawijaya University Indonesia

dede_gsu02@yahoo.com

Abstract

The aim of the study, first, is to examine which factors are important to explain the employment status of female labour migrants in the cities in Indonesia. The second aim is to examine the welfare of female labour migrants measured by their earnings to occupation and poverty status in the cities. This study takes advantage of a data source of Rural Urban Migration of Indonesia and China (RUMiCI) of 2011 conducted by Australian National University (ANU) focusing on four Indonesian cities, including Tangerang, Samarinda, Medan, and Makassar. The study concludes that female migrants survive in the cities in terms of their employability and welfare. Although there is no significant difference in terms of their occupation status compared to female non-migrants, female life-time migrants mostly receive higher earnings and less likely to be living under poverty. Education is an important predictor for employability and welfare of female migrants.

Keywords: Rural-Urban Migration, Female Workers, Employment, Poverty

JEL classification: J61, I32, J16
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A STOCHASTIC MODEL OF MIGRANT RESCUE IN THE MEDITERRANEAN SEA

Amitrajeet A. BATABYAL

Department of Economics, Rochester Institute of Technology, 92 Lomb Memorial Drive, Rochester, NY 14623-5604, USA.
aabgsh@rit.edu

Hamid BELADI

Department of Economics, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249-0631, USA.
Hamid.Beladi@utsa.edu

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
JEL classification: J61, D81
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