In this paper we address the issue of assessing and communicating the joint probabilities implied by density forecasts from multivariate time series models. We focus our attention in three areas. First, we investigate a new method of producing fan charts that better communicates the uncertainty...

We investigate to what extent estimated relationships of the IMF's monetary model and their policy implications are sample dependent. This model constitutes the core of the IMF's financial programming models for developing and emerging economies. We observe that estimates of the model's key...

MOSES is an aggregate econometric model for Sweden, estimated on quarterly data, and intended for short-term forecasting and policy simulations. After a presentation of qualitative model properties, the econometric methodology is summarized. The model properties, within sample simulations, and...

A framework for forecasting new COVID-19 cases jointly with hospital admissions and hospital beds with COVID-19 cases is presented. This project, dubbed CovidMod, produced 21-days ahead forecasts each working day from March 2021 to April 2022, and forecast errors that were used to assess...

This paper evaluates inflation forecasts made by Norges Bank which is a successful forecast targeting central bank. It is expected that Norges Bank produces inflation forecasts that are on average better than other forecasts, both naive forecasts, and forecasts from econometric models outside...

Failures are not rare in economic forecasting, probably due to the high incidence of shocks and regime shifts in the economy. Thus, there is a premium on adaptation in the forecast process, in order to avoid sequences of forecast failure. This paper evaluates a sequence of inflation forecasts in...