Aid and Growth: What Meta-Analysis Reveals
By T. Mekasha, F. Tarp. 2013
207 citations recorded by the source corpus.
Subfields: Development, Safety Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/d0ea2529c760e1397513ba77feebaf2c4788685b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Development
- A. Tollefsen
- Gudrun Østby
- Henrik Urdal
- S. A. Rustad
- P. Hühne
- Peter Nunnenkamp
- Andreas Kotsadam
- B. Meyer
In Safety Research
- A. Tollefsen
- Gudrun Østby
- Henrik Urdal
- S. A. Rustad
- P. Hühne
- Peter Nunnenkamp
- Andreas Kotsadam
- B. Meyer
In Sociology and Political Science
- Gudrun Østby
- Henrik Urdal
- A. Tollefsen
- S. A. Rustad
- P. Hühne
- Peter Nunnenkamp
- Andreas Kotsadam
- Jacques Poot
Citations in the corpus
- Who Benefits from Aid for Trade? Comparing the Effects on Recipient versus Donor Exports (2014, background): “Note that even surveys of the relevant literature come to opposing conclusions on the macroeconomic effectiveness of aid (McGillivray, Feeny, Hermes, & Lensink, 2006; Mekasha & Tarp, 2013).”
- Development aid and infant mortality. Micro-level evidence from Nigeria (2018, background): “…amount of macro-level evidence for a positive impact of aid on economic growth, possibly shifting the weight of evidence to a positive (albeit moderate) contribution of aid (e.g. Arndt et al., 2014; Clemens, Radelet, Bhavnani, & Bazzi, 2012, Juselius, Møller, & Tarp, 2014; Mekasha & Tarp, 2013).”
- A Meta-Analysis of FDI and Productivity Spillovers in Developing Countries (2017, unknown): “…the explanation of the heterogeneity.16 Considering the general versus the specific multivariate model, a trade-off exists between on the one hand, potential multicollinearity and loss of degrees of freedom and on the other hand, the inclusion of all moderator variables (Mekasha and Trap, 2013).”
- The effect of aid on growth: evidence from a Quasi-experiment (2014, unknown): “Moreover, even at the macro level, aid may have heterogeneous effects depending on recipient characteristics, aid modalities, and donor motives (Mekasha and Tarp 2013).”
- A Monte Carlo Analysis of Alternative Meta-Analysis Estimators in the Presence of Publication Bias (2015, background): “Moreno et al. (2009) compares a large number of MA estimators on the dimensions of bias, coverage rates, mean squared error, and variance.”