The aid effectiveness literature: The sad results of 40 years of research
By Hristos Doucouliagos, M. Paldam. 2009
508 citations recorded by the source corpus.
Subfields: Development, Information Systems, Safety Research
View Paper: https://www.semanticscholar.org/paper/79b9aa97d3626c7955a66342f2dfbb8e067a04de
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Development
- Axel Dreher
- Andreas Fuchs
- Michael J. Tierney
- Peter Nunnenkamp
- Aart C. Kraay
- Daniel A. Kaufmann
- B. Demena
- Ryan C. Briggs
In Information Systems
In Safety Research
- Axel Dreher
- Michael J. Tierney
- Andreas Fuchs
- Peter Nunnenkamp
- B. Demena
- Ryan C. Briggs
- P. Hühne
- E. Anderson
Citations in the corpus
- More Dollars than Sense: Refining Our Knowledge of Development Finance Using AidData (2011, background): “Doucouliagos and Paldam (2009, p.433) survey 97 econometric studies to conclude that, " After 40 years of development aid, the preponderance of the evidence indicates that aid has not been effective.”
- Reinventing Foreign Aid for Inclusive and Sustainable Development: Kuznets, Piketty and the Great Policy Reversal (2016, unknown): “In spite of a recent survey of the literature concluding that 40 years of foreign aid has not been effective (Doucouliagos & Paldam, 2009) and more recent provocative titles like ‘foreign aid follies’ which sustain that foreign aid has never developed anything (Rogoff, 2014), the phenomenon of…”
- Conditional nationally determined contributions in the Paris Agreement: foothold for equity or Achilles heel? (2019, background): “…generally have a stronger incentive to allocate aid to countries that cobenefit the donor country, and will find it easier to justify such allocations to domestic constituencies (Berthélemy, 2006; McKinley, 1978; see also Doucouliagos & Paldam, 2009 for a comprehensive review of this literature).”
- DOES GOVERNMENT SPENDING AFFECT INCOME INEQUALITY? A META‐REGRESSION ANALYSIS (2017, unknown): “…literature. iv There have, by contrast, been a number of systematic reviews of the evidence on the determinants of economic growth, including Doucouliagos and Paldam (2008, 2009, 2014) on the effects of foreign aid, and Josheski (2011) on the effects of infrastructure investment. v We…”
- Aid and growth: New evidence using an excludable instrument (2020, unknown): “…results, as the published literature on the effectiveness of aid tends to be over-optimistic, due to institutional biases of the authors in the aid effectiveness literature and the well-known bias of journal to publish (only) significant results (Doucouliagos and Paldam 2009, Doucouliagis 2016).”
- Good Countries or Good Projects? Macro and Micro Correlates of World Bank Project Performance (2011, background): “…cautiously optimistic Burnside and Dollar (2000), Clemens et al. (2012), Hansen and Tarp (2000), Minoiu and Reddy (2009), and Arndt et al. (2010); to ambivalent, Roodman (2007); to skeptical and pessimistic, Easterly et al. (2004), Doucouliagos and Paldam (2009), and Rajan and Subramanian (2008).”
- Does Foreign Aid Target the Poorest? (2016, background): “For a dissenting view see Doucouliagos and Paldam 2009.”
- Determinants of Donor Generosity: A Survey of the Aid Budget Literature (2014, result): “This is in striking contrast to the extensive literature on the allocation of ODA across recipient countries (e.g., Kuziemko and Werker 2006) and on aid effectiveness (e.g., Doucouliagos and Paldam 2009).”
- A Meta-Analysis of FDI and Productivity Spillovers in Developing Countries (2017, methodology): “It is a fact of life that researchers may prefer to follow conventionally expected results (good practices) to polish their products in order to attract customers (Doucouliagos and Paldam 2009).”
- A Monte Carlo Analysis of Alternative Meta-Analysis Estimators in the Presence of Publication Bias (2015, background): “10 For example, in their response to Mekasha and Tarp (2013), Doucouliagos and Paldam (2013, p. 586) state, “One fundamental difference is that M&T13 strongly advocate the use of the random effects model, whereas D&P08 draw statistical inferences from the fixed effects models. Stanley (2008) and Sta”
- Development aid and infant mortality. Micro-level evidence from Nigeria (2018, unknown): “In a set of meta-analyses surveying the aid effectiveness literature, Doucouliagos and Paldam (2009) concluded that aid has not been effective.”
- Aid and Growth at the Regional Level (2015, unknown): “3E.g., Rajan and Subramanian (2008); Doucouliagos and Paldam (2009); Bjørnskov (2013); Roodman (2015).”