Die mittelfristige Prognose der wirtschaftlichen Entwicklung und des strukturellen Wandels, der sektoralen Beschäftigungsveränderungen und der Nachfrage nach beruflichen Tätigkeiten, die das Österreichische Institut für Wirtschaftsforschung im Auftrag des AMS Österreich durchgeführt hat,...

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...

This paper proposes a large Bayesian Vector Autoregressive (BVAR) model with common stochastic volatility to forecast global equity indices. Using a dataset consisting of monthly data on global stock indices the BVAR model inherently incorporates co-movements in the stock markets. The...

This paper aims to identify the contribution of knowledge capital and its determinant - human capital - to total factor productivity differences among regions within a regression framework in general and the impact of their spillovers on regional total factor productivity in particular. The...

We develop a multivariate dynamic factor model that exploits euro area country-specific information on output and inflation for estimating an area-wide measure of the output gap. In the proposed multi-country framework we moreover allow for flexible stochastic volatility (SV) specifications for...

The speed of income convergence in Europe remains one of the hot topics in regional economics. Recently Bayesian Model Averaging (BMA) applied to spatial autoregressive models seems to have gained more popularity. BMA averages over some predetermined number of so called top models, ranked by the...

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...