We evaluate the out-of-sample forecasting performance of six competing models at horizons of up to three quarters ahead in a pseudo-real time setup. All the models use information in monthly indicators released ahead of quarterly GDP. We estimate two models – averaged vector autoregressions...

This paper examines the usefulness of Google Trends data for forecasting mortgage lending in the Czech Republic. While the official monthly statistics on mortgage lending come with a publication lag of one month, the data on how often people search for mortgage-related terms on the internet are...

Do private analysts coordinate their forecasts via central bank forecasts? In this paper, we examine private and central bank forecasts for the Czech Republic. The evolution of the standard deviation of private forecasts as well as the distance from the central bank’s forecasts are used...

This survey gives insight into the ongoing research in financial frictions modeling. The recent financial turmoil has fueled interest in operationalizing financial frictions concepts and introducing them into tools for policy makers. The rapid growth of the literature on these issues is the...

The Czech Republic is facing a population ageing phenomenon. In addition, its demographic structure is expected to change dramatically over the next 50 years. We apply a stylised overlapping generation model in order to analyse the potential effects of the expected demographic changes on...