In this paper, we evaluate the causal relationship between macroeconomic uncertainty indices, inflation and growth rate for 17 Eurozone countries on a county level examination. In performing a series of linear and non-linear causality tests we find little evidence of a causal relationship...

This paper empirically examines the effect of house price changes on economic growth across provinces in South Africa. The economic impact of house prices is estimated using a panel data set that covers all nine provinces in South Africa from 1996 to 2010. We find that when heterogeneity,...

This paper uses Indian quarterly data for the period of 1960:Q2-2011:Q2 to test for nonlinearity in a standard monetary vector autoregression (VAR) model comprising of output, price and money, using an estimation strategy that is consistent with wide range of structural models. We find that...

Given the rapid rise and volatility of oil prices, the paper investigates the effect of oil price uncertainty on the South African manufacturing production using monthly observations covering the period 1974:02 to 2012:12. In addition, we quantify the responses of manufacturing production to...

Given the rapid rise and volatility of oil prices, the paper investigates the effect of oil price uncertainty on the South African manufacturing production using monthly observations covering the period 1974:02 to 2012:12. In addition, we quantify the responses of manufacturing production to...

This paper contributes to the debate on the role of oil prices in predicting stock returns. The novelty of the paper is that it considers monthly time-series historical data that span over 150 years (1859:10-2013:12) and applies a predictive regression model that accommodates three salient...

This paper investigates the ability of the Dornbusch (1976) sticky- price model for the nominal metical-rand exchange rate, over the period 1994:1-2005:4 in explaining the exchange rate movements of Mozambique. Based on the model, we find that there is a stable relationship between the exchange...

This paper contributes to the debate on the role of oil prices in predicting stock returns. The novelty of the paper is that it considers monthly time-series historical data that span over 150years (1859:10–2013:12) and applies a predictive regression model that accommodates three salient...

The difficulty in modelling inflation and the significance in discovering the underlying data generating process of inflation is expressed in an ample literature regarding inflation forecasting. In this paper we evaluate nonlinear machine learning and econometric methodologies in forecasting the...