The Long-Run Impact of Foreign Aid in 36 African Countries: Insights from Multivariate Time Series Analysis

By K. Juselius, Niels Framroze Møller, F. Tarp. 2014

213 citations recorded by the source corpus.

Subfields: Development, Economics and Econometrics, Information Systems

View Paper: https://www.semanticscholar.org/paper/ad12186388bd2dd170f0e9b63905dd3e4bb2a0cb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Development

1. Sam Jones
2. F. Tarp
3. Sandrina B. Moreira
4. M. McGillivray
5. D. Roodman
6. Markus Brückner
7. Axel Dreher
8. E. Werker

In Economics and Econometrics

1. Sam Jones
2. F. Tarp
3. D. Roodman
4. Markus Brückner
5. Sandrina B. Moreira
6. Axel Dreher
7. M. McGillivray
8. Nancy Qian

In Information Systems

1. Sam Jones
2. F. Tarp
3. Axel Dreher
4. Jakob Svensson
5. Markus Brückner
6. Nancy Qian
7. Murshed Chowdhury

Citations in the corpus

• Does foreign aid harm political institutions (2015, methodology): “Applying different methods and data, they find a positive and statistically significant effect of aid when considered over the long-run (Arndt et al., 2015a, 2010; Juselius et al., 2014; Brückner, 2013; Clemens et al., 2012; Minoiu and Reddy, 2010).”
• The impact of foreign aid on economic growth in ECOWAS countries: A simultaneous-equation model (2013, unknown): “The merit in this type of system approach is that it allows for the estimation of more complicated effects of aid (Juselius et al. 2011).”