Optimal monetary policy studies typically rely on a single structural model and identification of model-specific rules that minimize the unconditional volatilities of inflation and real activity. In our proposed approach, we take a large set of structural models and look for the model-robust...

We propose a novel copula approach to producing density forecasts of economic aggregates combining models using disaggregate data. Our copula approach is more flexible compared to existing techniques, because it is applicable to any econometric model that produces density forecasts. We construct...

This paper presents a framework for quantifying uncertainty around point forecasts for GDP, inflation and house prices in Norway. The framework combines quantile regressions using a broad set of uncertainty indicators with a skewed t-distribution, allowing for time-variation and asymmetry in the...

In this paper we evaluate whether the accuracy of Finnish unemployment rate forecasts can be improved by utilising the information in the flows into and out of unemployment. We compare and contrast different methodologies for constructing the flows. Our results indicate that Bayesian vector...

We examine a propagation mechanism that arises from households' long-term borrowing and show empirically that it has sizable real effects. The mechanism recognises that when there is long-term debt, an impulse to new borrowing generates a predictable hump-shaped path of future debt service. We...

Population ageing constitutes a central challenge to Finland. Understanding the Finnish economy's likely future trajectory and the key sources of growth is important for the design of policies to counteract these adverse long-term trends. For this purpose, we develop a novel long-run forecast...

We investigate whether European banks adjust their loan prices and volumes of new lending in the months running up to major national elections. Using a unique dataset that draws on data covering some 250 banksin 19 Eurozone countries from 2010 to 2020 at monthly frequency, and that includes...

During the COVID-19 pandemic, economists have struggled to obtain reliable economic predictions, with standard models becoming outdated and their forecasting performance deteriorating rapidly. This paper presents two novelties that could be adopted by forecasting institutions in unconventional...

We find that deep contractions have highly persistent scarring effects, depressing the level of GDP at least a decade hence. Drawing on a panel of 24 advanced and emerging economies from 1970 to the present, we show that these effects are nonlinear and asymmetric: there is no such persistence...

We analyse the performance of financial market variables in nowcasting Finnish quarterly GDP growth. Especially, we assess if prediction accuracy is affected by the sampling frequency of the financial variables. Therefore, we apply MIDAS models that allow us to forecast quarterly GDP growth...