E25 - Aggregate Factor Income DistributionReturn

This study aims to investigate the impact of international remittances on income inequality in the post-communist region. The association between the variables is examined via static and dynamic panel models. Using macroeconomic data from 27 countries over the period 1991-2014, we discover that income inequality progresses along a U-shaped course as a country becomes more dependent on remittances. For most of the countries, the relationship between remittances and inequality is inverse. When remittances account for more than 20% of GDP, they exacerbate economic inequality. This finding challenges the view that remittances should only be viewed as a pro-poor redistribution mechanism because in certain cases, additional migrant transfers may actually increase income inequality.

The paper deals with the approximation problem of standard growth accounting method first introduced by Solow (1957). This method is still used widely by lots of economists and institutions (IMF, national banks and others) for computing the technological or total factor productivity (TFP) dynamics. According to standard growth accounting the TFP growth is a residual, computed simply out of dynamic Cobb-Douglas (original or modified) production function. The purpose of this paper is to show that the usual TFP calculation as a residual is more or less inaccurate and for certain cases can cause slightly biased conclusions. The idea of such weak approximation is based on the nature of differential itself. The growth accounting computes the TFP dynamics accurately only under certain conditions based mainly on assumption of sufficiently small changes in variables.