This paper introduces a new way of investigating linear and nonlinear Granger causality between exports, imports and economic growth in France over the period 1961-2006 with using geostatistical models (kiriging and inverse distance weighting). Geostatistical methods are the ordinary methods for...

This paper integrates data envelopment analysis (DEA) and artificial neural networks (ANN) to forecast the role of public expenditure in economic growth in OCDE countries. The results show that this approach is a powerful and appropriate method to forecast this role. DEA method allows us to...

This study undertakes an examination of asymmetric adjustment effects between electricity consumption and economic growth in South Africa using quarterly data collected from 1983Q1 to 2013:Q4. In our study, we employ a momentum-threshold co-integration method to examine the long-run equilibrium...

Purpose: This purpose of our paper is to examine asymmetric co-integration effects between nutrition and economic growth for annual South African data from the period 1961-2013. Design/methodology/approach: We deviate from the conventional assumption of linear co-integration and pragmatically...

This paper investigates asymmetric co-integration and causality effects between financial development and economic growth for South African data spanning over the period of 1992 to 2013. To this end, we make use of the momentum threshold autoregressive (MTAR) approach which allows for threshold...