In this paper we propose a Bayesian estimation approach for a spatial autoregressive logit specification. Our approach relieson recent advances in Bayesian computing, making use of Pólya-Gamma sampling for Bayesian Markov-chain Monte Carlo algorithms.The proposed specification assumes that the...

Vor dem Hintergrund der massiven wirtschaftlichen Auswirkungen der COVID-19-Pandemie und der Maßnahmen zu ihrer Eindämmung bietet das vorliegende Papier eine Abschätzung der relativen Betroffenheit der Wirtschaft der österreichischen Bundesländer in der derzeitigen Krisenphase. Die Analyse...

Cross-demand creates links between goods which cause demand-driven cross-price dependencies. We construct a theoretical model to analyze their role in propagating microeconomic price shocks to the CPI inflation rate and examine their empirical relevance using spatial econometric techniques. The...

Commonly used priors for Vector Autoregressions (VARs) induce shrinkage on the autoregressive coefficients. Introducing shrinkage on the error covariance matrix is sometimes done but, in the vast majority of cases, without considering the network structure of the shocks and by placing the prior...