The rare disaster hypothesis suggests that the extraordinarily high postwar U.S. equity premium resulted because investors ex ante demanded compensations for unlikely but calamitous risks that they happened not to incur. While convincing in theory, empirical tests of the rare disaster...

The long-run consumption risk (LRR) model is a convincing approach towards resolving prominent asset pricing puzzles. Whilst the simulated method of moments (SMM) provides a natural framework to estimate its deep parameters, caveats concern model solubility and weak identification. We propose a...

On 11 March 2015, SUERF jointly organised a conference with the Oesterreichische Nationalbank and the Austrian Society for Bank Research (Bankwissenschaftliche Gesellschaft - BWG). The present SUERF Study 2015/2 includes a selection of papers based on the authors' contributions to the Vienna...

The 27th SUERF Colloquium in Munich in June 2008: New Trends in Asset Management: Exploring the Implications was already topical in the Summer of 2008. The subsequent dramatic events in the Autumn of 2008 made the presentations in Munich even more relevant to investors and bankers that want to...

The paper considers two rival models referring to the new macroeconomic consensus: a standard three-equations model of the New-Keynesian variety and dynamic adjustments of a business and an inflation climate in an `Old-Keynesian' tradition. Over the two subperiods of the Great Inflation and...

This paper considers estimation methods and inference for linear dynamic panel data models with unit-specific heterogeneity and a short time dimension. In particular, we focus on the identification of the coefficients of time-invariant variables in a dynamic version of the Hausman and Taylor...

The paper considers an elementary New-Keynesian three equation model and compares its Bayesian estimation to the results from the method of moments (MM), which seeks to match a finite set of the model-generated second moments of in ation, output and the interest rate to their empirical...

I derive the unconditional transformed likelihood function and its derivatives for a fixed-effects panel data model with time lags, spatial lags, and spatial time lags that encompasses the pure time dynamic and pure space dynamic models as special cases. In addition, the model can accommodate...