2015
DOI: 10.33182/ml.v12i1.253
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The impact of migrant workers' remittances on the living standards of families in Morocco: A propensity score matching approach

Abstract: This article attempts to assess empirically the impact of remittances on household expenditure and relative poverty in Morocco. We apply propensity score matching methods to the 2006/2007 Moroccan Living Standards Measurement Survey. We find that migrants' remittances can improve living standards among Moroccan households and affect negatively the incidence of poverty. The results show a statistically significant and positive impact of hose remittances on recipient households' expenditures. They are also signi… Show more

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Cited by 18 publications
(10 citation statements)
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“…Azam (2015) discovers the existence of a significant positive association between international remittances and economic growth in four developing Asian countries namely Bangladesh, India, Pakistan and Sri Lanka during 1976-2012. Similarly, a study by Bouoiyour and Miftah (2015) explores the effect of migrant remittances on household spending and relative poverty in Morocco, while, using propensity score matching techniques to the 2006-2007 Moroccan living standards measurement survey. The study observes that international remittances can foster living standards among Moroccan households and affect destructively the incidence of poverty in the country.…”
Section: Previous Empirical Studiesmentioning
confidence: 99%
“…Azam (2015) discovers the existence of a significant positive association between international remittances and economic growth in four developing Asian countries namely Bangladesh, India, Pakistan and Sri Lanka during 1976-2012. Similarly, a study by Bouoiyour and Miftah (2015) explores the effect of migrant remittances on household spending and relative poverty in Morocco, while, using propensity score matching techniques to the 2006-2007 Moroccan living standards measurement survey. The study observes that international remittances can foster living standards among Moroccan households and affect destructively the incidence of poverty in the country.…”
Section: Previous Empirical Studiesmentioning
confidence: 99%
“…It solves the problems of heterogeneity and self-selection in migration studies, in which remittance receiving status of the households is determined by some household characteristics (Bouoiyour & Miftah, 2015). Propensity scores show the probability of selecting to the treatment group based on the covariates.…”
Section: Propensity Score Matching Methodsmentioning
confidence: 99%
“…This can be accomplished through the use of propensity score matching. This methodology has been widely used to look at the impact of remittances internationally, including Acosta (2011) for El Salvador; Berloti and Marchetta (2014) for Ecuador; Bouoiyour and Miftah (2015) for Morocco; Clement (2011) for Tajikistan; Cox-Edwards and Rodriguez-Oreggia (2009) and Esquivel and Huerta-Pineda (2007) for Mexico; De and D. Ratha (2012) for Sri Lanka; Dey (2015) for India; Garip (2014) for Thailand; Jimenez-Soto and Brown (2012) for Tonga; Kahn (2008) for Bangladesh; and Siddiqui (2013) for Pakistan. This approach identifies a sample of households that do not receive remittances that are similar to households that receive remittances by matching across invariant household socioeconomic features.…”
Section: Methodsmentioning
confidence: 99%