This comment refers to an error in the methodology for estimating the parameters of the model developed by Philipov and Glickman for modeling multivariate stochastic volatility via Wishart processes. For estimation they used Bayesian techniques. The derived expressions for the full conditionals...

The explanation of different levels of innovation and their spatial distribution represents the central focus of the analysis. The empirical literature documents the incidence of spatial autocorrelation in patenting activities and interprets them as evidence for knowledge spillovers....

Social capital is widely regarded to constitute an important indicator for the economic performance of a society. This paper analyzes the impact of various socio-demographic characteristics on social capital. Proxy variables for social capital are obtained from a comprehensive principal...

Hauser C., Tappeiner G. and Walde J. (2007) The learning region: the impact of social capital and weak ties on innovation, Regional Studies 41, 75-88. Theories that emphasize the role of proximity and tacit knowledge in innovation processes highlight the importance of social interaction and...

Climate change is a major challenge for weather-dependent industries such as winter tourism. Existing climate change impact assessments largely do not consider seasonality of demand and snow conditions are usually included as binary variable (e.g. ski area open or closed). With this paper we...