For some time, there was considerable debate over whether the resource curse existed at all. However, recent findings indicate that the resource curse is a very real problem that mainly affects states with weak institutions and poses important questions for US policymakers. Countries that depend on natural resources experience less growth, less democracy, and more war when they have weak instit...

Modern computers have made commonplace many calculations that were impossible to imagine a few years ago. Still, when you face a problem with a high physical dimension, you immediately encounter the Curse of Dimensionality [1, p.94]. This curse is that the amount of computing power that you need grows exponentially with the dimension. The simplest manifestation of this curse appears when you tr...

Growth studies show, counter to intuition, that the discovery of a natural resource may be a curse rather than a blessing since resource-rich countries grow slower than others. Moreover, resource abundance may involve a displacement of a growth-essential manufacturing sector, leading to Dutch Disease. Norway is an important exception to the curse and the disease. Since oil production started in...

Indexing high dimensional datasets has attracted extensive attention from many researchers in the last decade. Since R-tree type of index structures are known as suffering “curse of dimensionality” problems, Pyramid-tree type of index structures, which are based on the B-tree, have been proposed to break the curse of dimensionality. However, for high dimensional data, the number of pyramids is ...

The aim of this paper is to investigate whether oil revenues in the MENA region lead economic growth or resource curse evident. To do so we employ a panel Vector Auto-Regressive (PVAR) model comprising not only and but also government expenditures. latter variable considered as examine revenue leads via fiscal policy channel. We further assess heterogeneous findings exist depending on quality p...

Neurofuzzy systems have been developed as grey box modelling technique ideal for the task of system identiication. Neurofuzzy models combine the mathematical structure of Associative Memory Networks (AMNs) with the transparency of fuzzy systems. This produces a modelling technique to which mathematical analysis can be applied, while being more transparent than traditional black box models. Unfo...

To date, gene-based rare variant testing approaches have focused on aggregating information across sets of variants to maximize statistical power in identifying genes showing significant association with diseases. Beyond identifying genes that are associated with diseases, the identification of causal variant(s) in those genes and estimation of their effect is crucial for planning replication s...

This article revisits and empirically tests the conjecture that specialization in natural resource industries (NRI) might not necessarily be a ‘curse’ for developing countries if it generates opportunities export diversification backward-linked sectors à la Hirschman. The systematizes evolution of debate around NRI ‘curse’. Then whether represent sufficient ‘domestic representative demand’ Lind...

This paper takes a new look at the long-run implications of resource abundance. Using a Schumpeterian growth model that yields an analyitical solution for the transition path, it derives conditions under which the “curse of natural resources” occurs and is in fact a curse, meaning that welfare falls, conditions under which it occurs but it is not a curse, meaning that growth slows down but welf...