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(Stark, Taylor and Yitzhaki, 1986). Consider a small percentage change inincome from source j (remittances) equal to π, such that y j(π)=(1+ π)y j.Thenwhere S j, G jand R jdenote the souce-j income share, source Gini, and Ginicorrelation, and G denotes the Gini index <strong>of</strong> total income inequality priorto the remittance change. The percentage change in inequality resultingfrom a small percentage change in remittances equals the initial share <strong>of</strong>remittances in inequality minus the share <strong>of</strong> remittances in total income.One can easily see that, as long as remittances are an important component<strong>of</strong> rural incomes,1) If the Gini correlation <strong>of</strong> remittances and total income, R j, is negativeor zero, an increase in remittances necessarily reduces inequality, but2) If the Gini correlation is positive, the distributional impact <strong>of</strong>remittances depends on the sign <strong>of</strong> R jG j-G. A necessary conditionfor inequality to increase with remittances is that the source Gini forremittances exceed the Gini for household total income, that is, G j>G.This follows from the property that R j≤ 1.2.3 Poverty DecompositionA modification <strong>of</strong> the Foster-Greer-Thorbecke (1984) poverty index wasused to analyze the poverty implications <strong>of</strong> remittances. We have foundno such poverty decomposition in the literature for Mexico. Huppi andRavallion (1991) perform an income-source poverty decomposition forIndonesia. More commonly one finds in recent literature that sectoraldecompositions <strong>of</strong> poverty are proxied by undertaking a standard povertydecomposition for groups defined by primary sectoral source <strong>of</strong> income, orother characteristics such as household size, group or location. 3 This proxymethod is difficult to justify where a typical farm household’s incomeis diversified across a variety <strong>of</strong> activities, as is clearly the case in ruralMexico.(2)Following the notation <strong>of</strong> Foster, Greer, and Thorbecke (FGT) (1984), letY d= (Y d1,Y d2,...,Y dI) represent household incomes in increasing order and1093For example, Baliascan (1993) did such a study for the Philippines; Gusstafsson and Makonnen(1993) explored principal income sources’ effects on poverty incidence in Lesotho; Boateng etal. (1992) decomposed by location and group for Ghana; Kanbur (1990) decomposed povertyincidence by degree <strong>of</strong> income diversification, region and group and Kakwani (1993) by regionand household characteristics in Cote d’Ivoire.

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