In this paper we examine the causal relationship between renewable energy consumption and economic growth across the G7 countries, using annual data for the period of 1990 to 2011.By employing the causality methodology proposed by Emirmahmutoglu and Kose (2011), we investigate if there is a causal relationship between the variables. The advantage of this methodology is that it takes into account possible slope heterogeneity and cross-sectional dependency in a multivariate panel. The empirical results support the existence of a bidirectional causal relationship between economic growth and renewable energy for the overall panel. However, looking at the individual results for each country, the neutrality hypothesis is confirmed for Canada, Italy and the US; while for France and UK there is a unidirectional causality from GDP to renewable energy, and the opposite for Germany and Japan.

This paper provides an empirical analysis of the role of house prices in determining the dynamic behaviour of consumption in South Africa using a panel vector autoregression (PVAR) approach to provincial level panel data covering the period of 1996 to 2010. With the shocks being identified using the standard recursive identification scheme, we find that the response of consumption to house prices shock is positive, but short-lived. In addition, we find that a positive shock to house price growth has a positive and significant effect on consumption, while the negative impact of an anticipated house price decrease causes an insignificant reduction in consumption. This suggests that house prices exhibit an asymmetric effect on consumption, with the positive effect following an increase in house prices being dominant in magnitude in comparison to a decline in consumption resulting from a negative shock to house prices.

Abstract. This paper investigates the causal relationship between asset prices and per capita output across 50 US states and the District of Columbia over 1975 to 2012. A bootstrap panel Granger causality approach is applied on a trivariate VAR comprising of real house prices, real stock prices and real per capita personal income (proxying output), which allows us to account not only for heterogeneity and cross-sectional dependence, but also for interdependency between the two asset markets. Empirical results reveal the existence of a unidirectional causality running from both asset prices to output. This confirms the leading indicator property of asset prices for the real economy, while also substantiating the wealth and/or collateral transmission mechanism. Moreover, the absence of reverse causation from the personal income per capita to both housing and stock prices tend to suggest that noneconomic fundamentals may have played an important role in the formation of bubbles in these markets.

Abstract. This paper examines asymmetries in the impact of monetary policy on the middle segment of the South African housing market from 1966:M2 to 2011:M12. We use Markov-switching vector autoregressive (MS-VAR) model in which parameters change according to the phase of the housing cycle. The results suggest that monetary policy is not neutral as house price growth decreases substantially with a contractionary monetary policy. We find that the impact of monetary policy is larger in bear regime than in bull regime; indicating the role of information asymmetry in reinforcing the financial constraint of economic agents. As expected, monetary policy reaction to a positive house price shock is found to be stronger in the bull regime. This suggests that central banks react more in bull regime in order to prevent potential crisis related to the subsequent bust in house prices bubbles which are more prominent in bull markets. These results substantiate important asymmetries in the dynamics of house prices in relation to monetary policy, vindicating the advantages of generating regime dependent impulse response functions.

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