The paper introduces 'system priors', their use in Bayesian analysis of econometric time series, and provides a simple and illustrative application. System priors were devised by Andrle and Benes (2013) as a tool to incorporate prior knowledge into an economic model. Unlike priors about...

What are the drivers of business cycle fluctuations? And how many are there? By documenting strong and predictable co-movement of real variables during the business cycle in a sample of advanced economies, we argue that most business cycle fluctuations are driven by one major factor. The...

In this paper we provide tools for assessing the house prices and housing valuation. Wedevelop two approaches: (i) borrowing capacity approach, and (ii) intrinsic value approach.The borrowing capacity of households, together with their down payment, implies how muchhousing they can attain. In...

This paper presents and discusses the estimates of the present value of corporate profits in the United States from 1984 to 2018. To value the expected income stream, it uses the long-range forecasts of professional forecasters for pre-tax corporate earnings and long-term Treasury note yields,...

This paper comments on selected aspects of identification issues of DSGE models. It suggests the singular value decomposition (SVD) as a useful tool for detecting local weak and non- identification. This decomposition is useful for checking rank conditions of identification, identification...

This paper presents and discusses the estimates of the present value of corporate profits in the United States from 1984 to 2018. To value the expected income stream, it uses the long-range forecasts of professional forecasters for pre-tax corporate earnings and long-term Treasury note yields,...

This paper outlines an approach to assess uncertainty around a forecast baseline as well as the impact of alternative policy rules on macro variability. The approach allows for non-Gaussian shock distributions and non-linear underlying macroeconomic models. Consequently, the resulting...

This paper comments on selected aspects of identification issues of DSGE models. It suggests the singular value decomposition (SVD) as a useful tool for detecting local weak and non- identification. This decomposition is useful for checking rank conditions of identification, identification...