This paper picks up on a model developed by Philipov and Glickman (2006) for modeling multivariate stochastic volatility via Wishart processes. MCMC simulation from the posterior distribution is employed to fit the model. However, erroneous mathematical transformations in the full conditionals...

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....

Measuring innovation activities involves critical decisions in selecting appropriate indicators and levels of observation. The present article contributes to the literature on this subject by addressing innovation measurement on the regional level. The dimensionality of regional innovation is...

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...

Obtaining reliable estimates of the volatility of interest rates and exchange rates is a necessary condition to evaluate issues related to monetary independence and fear of floating. In this paper we use methods which explicitly account for structural breaks in the volatility dynamics in order...

This paper undertakes a Monte Carlo study to compare MLE-based and GMM-based tests regarding the spatial autocorrelation coefficient of the error term in a Cliff and Ord type model. The main finding is that a Wald-test based on GMM estimation as derived by Kelejian and Prucha (2005a) performs...