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Aid, public spending and human welfare: evidence from quantile regressions
Author(s) -
Gomanee Karuna,
Girma Sourafel,
Morrissey Oliver
Publication year - 2005
Publication title -
journal of international development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.533
H-Index - 66
eISSN - 1099-1328
pISSN - 0954-1748
DOI - 10.1002/jid.1163
Subject(s) - welfare , economics , poverty , human development index , quantile , quantile regression , human development (humanity) , development aid , public economics , aggregate (composite) , distribution (mathematics) , econometrics , demographic economics , economic growth , market economy , mathematical analysis , materials science , mathematics , composite material
Abstract Does 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.