Aid, public spending and human welfare: evidence from quantile regressions
AbstractDoes aid contribute to human development other than by increasing growth? In doing so, is aid more or less effective in poorer countries (those with low levels of aggregate welfare)? This paper addresses these issues, assessing if there is cross-country aggregate evidence for an effect of aid on welfare levels. We posit that aid can enhance human development by financing public expenditures that increase welfare indicators. Using quantile regressions, we report evidence that aid is associated with higher human development (the Human Development Index) and lower infant mortality (both indicators of aggregate welfare). Where there are differences across quantiles, aid is more effective in countries below the median of the welfare distribution, i.e. with lower levels of human development. Insofar as aggregate welfare is (inversely) correlated with poverty, we find evidence that aid can make a positive contribution to alleviating poverty, and that the effect appears to be greater in countries with lower levels of human development indicators. Copyright © 2005 John Wiley & Sons, Ltd.
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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Journal of International Development.
Volume (Year): 17 (2005)
Issue (Month): 3 ()
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Other versions of this item:
- Karuna Gomanee & Sourafel Girma & Oliver Morrissey, 2006. "Aid, Public Spending and Human Welfare: Evidence from Quantile Regressions," Working Papers id:761, eSocialSciences.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
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