Empirical evidence on the resource curse hypothesis in oil abundant economy

By Saqlain Latif Satti, Abdul Farooq, Nanthakumar Loganathan, Muhammad Shahbaz. 2014

176 citations recorded by the source corpus.

Subfields: Building and Construction, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/ab89633418a2f7064affad6ee00639d88dad96e9

How researchers see this paper

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

In Building and Construction

1. Kweku Adams
2. Dawda Adams
3. S. Ullah
4. Samir Saidi

In Economics and Econometrics

1. Kweku Adams
2. Dawda Adams
3. Chung Yan Sam
4. S. Goh
5. Pervaiz Akhtar
6. S. Ullah
7. R. Mcnown
8. Samir Saidi

Citations in the corpus

• Bootstrapping the autoregressive distributed lag test for cointegration (2018, background): “Some researchers have ignored this assumption in their empirical applications of the ARDL bounds test, for instance, as in Shahbaz et al. (2013), Satti et al. (2014), Blotch, Rafiq, and Salim (2015), Baharumshah, Hamizah, and A. Maansur (2009), Guru-Gharana (2012) and Ahmed, Enjiang, and Messinis…”
• The role of country-level institutional factors in escaping the natural resource curse: Insights from Ghana (2019, background): “The widely researched issue on the ‘natural resourcecurse’ hypothesis (Atkinson and Hamilton, 2003; Papyrakis and Gerlagh, 2004; Kopiński et al., 2013; Satti et al., 2014) also called ‘the paradox of plenty’ (Karl, 1997) assumes that developing countries that are rich in natural resources (Mikesell,”