2014
DOI: 10.1016/s0120-4483(14)70023-5
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The Balassa-Samuelson Hypothesis and Elderly Migration

Abstract: We present a model with two Overlapping Generations (young and old) and two final goods: a) a tradable good that is produced using capital and labor, and b) a non-tradable good that is produced using labor as unique input. We maintain the fundamental assumption of perfect factor mobility between sectors so the model is consistent with the Balassa-Samuelson hypothesis. On top of this, we allow for one of the two generations (the elderly) to migrate between economies. Given the general equilibrium structure of o… Show more

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Cited by 1 publication
(3 citation statements)
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“…For close to three decades, the Malaysian policy-makers have kept its foreign retirement residential programme going, which plainly shows that they are firmly wedded to the notion that foreign later-life migration positively benefits the national economy (Fagan, 1988;Gardner, 1988;King et al, 1998;Montealegre et al, 2014). This observation is supported by Ono (2008).…”
Section: Theoretical Analysismentioning
confidence: 96%
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“…For close to three decades, the Malaysian policy-makers have kept its foreign retirement residential programme going, which plainly shows that they are firmly wedded to the notion that foreign later-life migration positively benefits the national economy (Fagan, 1988;Gardner, 1988;King et al, 1998;Montealegre et al, 2014). This observation is supported by Ono (2008).…”
Section: Theoretical Analysismentioning
confidence: 96%
“…Though less than one quarter of 1% of retirees is estimated to spend their retirement days overseas (Banks, 2004), this trend is expected to strengthen (Haseen and Punpuing, 2010) with increasing elderly population (United Nations, 2002). Despite the relatively small number, income transfers, capital accumulation, job creation and boost to local economies are the appeal to policy-makers (King et al, 1998;Montealegre et al, 2014).…”
Section: Attracting Foreign Retirees As a Development Strategymentioning
confidence: 99%
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