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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This paper analyses the causal relationship between housing activity and growth in nine provinces of South Africa for the period 1995-2011, using panel causality analysis, which accounts for cross-section dependency and heterogeneity across provinces. Our empirical results support unidirectional causality running from housing activity to economic growth for most of the provinces studied; bi-directional causality between housing activity and economic growth for Gauteng; and no causality in any direction between housing activity to economic growth in Eastern Cape and KwaZulu-Natal. Our findings provide important insights for housing policies and strategies for South Africa. Specifically, housing sector might be an efficient growth-led instrument for all the provinces except Eastern Cape and KwaZulu-Natal.

Abstract. This paper applies a time-varying parameter vector autoregressive approach to estimate the relative effects of housing and stock returns on the growth rate of US consumption over time. We use annual data from 1890 to 2012 and find that at the one-and two-year horizons and over time, generally the housing return positively affects consumption growth while the stock return negatively affects it. For the three-to six-year horizons, the two return shocks generally exert a negative, but small, effect on consumption growth. These opposite responses to changes in housing and stock returns suggest different mechanisms through which wealth affects consumption. Further, the housing return effect generally increases after 1980. The sub-period from 1980 to 2012 includes the 1997/2002 asset price boom/bust where house prices continued to rise moderately as stock prices fell. These findings suggest that the magnitude of the relative return effects differs with both time and horizons and also depends on whether prices increase or decrease.

This empirical study analyzes the long run behavior of provincial house prices in South Africa based on the club convergence and clustering procedure of Phillips and Sul. Using quarterly data covering the period of 1976Q2-2012Q4, 1974Q1-2012Q4 and 1977Q3-2012Q4 for the large, medium, and small middle segments of the housing market, respectively, we test the law of one price across nine provinces. The empirical findings suggest that the nine provinces do not form a homogeneous convergence club. Unlike the small middle segment, which consists of two convergence clubs of seven and two provinces, the large and medium middle segments have three convergence clubs corresponding to three segmented independent local markets. Possible intuitive explanations for the existence of such clubs are discussed and resulting policy implications provided.