Background: Since the early 1980s, many governments have investigated the possibility of utilising access to microloans as a pathway to grow economies out of unemployment and thereby improve people's quality of life. Studies that have previously investigated the impact of microloans found a positive relationship to quality of life. Unfortunately, these studies mainly measure quality of life using monetary (income) measures rather than assessing the entire multidimensionality of quality of life.
Multiple or Simultaneous Equation Models: Models with Panel Data; Longitudinal Data; Spatial Time Series
This paper examines the overall economic growth effect when the growth in finance and real sector is disproportionate relying on panel data for 29 sub–Saharan African countries over the period 1980–2014. Results from the system generalized method of moments (GMM) reveal that, while financial development supports economic growth, the extent to which finance helps growth depends crucially on the simultaneous growth of real and financial sectors.
The purpose of this study is to add to the empirical literature regarding quality of life convergence dynamics. It achieves this by analysing and comparing income and income-independent quality of life (IIQoL) convergence dynamics across South Africa's 234 municipalities for the period 1996-2014. The study tested for convergence and utilised dynamic panel methods (systems GMM). The results indicate unconditional convergence in both income and IIQoL but at different rates.
This paper examines the differential responses of various emerging market export sectors to exchange rate risk. This paper finds origin in initial theoretical posits of Ethier (1973) and Clark (1973) which both contend that exchange rate risk has a negative impact on the export flows of international trade participants who are assumed to be inherently risk averse.
The purpose of this study is to investigate the relationship between population density and non-economic quality of life. Popular opinion has generally been that population density can be seen as beneficial for economic growth, as it allows for greater productivity, greater incomes and can be translated into higher levels of quality of life. Recently though, growing evidence tends to suggest the exact opposite in that increases in productivity and incomes are not translated into better quality of life.
Rationalist thought has had a deep and lasting impact on modern civilisation. This influence has pervaded almost all facets of the socio-politico-economic and scientific domains of contemporary human experience. Religiously-oriented societies have, however, throughout their encounter with rationalism, generally struggled to reconcile some of their doctrines and practices with the principles espoused by rationalist philosophy. This strained relationship has always been particularly acute in the area of epistemology.
Since the 2007 sub-prime financial crisis, world bank capital ratios have increased. In this paper, we investigate the impact of increased bank capital requirements introduced under the Basel Accord framework on the costs of intermediation. We attempt to answer this central question by running panel regressions using 2001 – 2012 annual bank-level data for ten banks constituting inter alia the four largest South African banks. We conclude that high capital requirements are associated with increased costs of intermediation.
The recent European Union crisis has sparked renewed interest in the achievement of convergence among potential member states prior to the establishment of a monetary union. This article examines real convergence in the per capita output of SADC countries using annual data from 1980 to 2013. An extension of the Evans & Karras’ approach that combines threshold modelling, panel data unit root testing and critical values bootstrapping is used in order to test for convergence.
This paper investigates the di¤erent channels of transmission of monetary policy shock in South Africa in a data-rich environment. The analysis contains 165 quarterly variables observed from 1990Q1 to 2012Q2. We use a Large Bayesian Vector Autoregressive model, which can easily accommodate a large cross-section of variables without running out of degree of freedom. The benefit of this frame-