This Staff Memo presents an indicator used for monitoring and forecasting inflation at Norges Bank. The indicator is designed to capture international price impulses that impact the input costs of domestic firms. Our analysis indicates that the marked increase in the cost of imported...

This paper documents the suite of models used by Norges Bank to estimate the output gap. The models are estimated using data on GDP, unemployment, inflation, wages, investment, house prices and credit. We evaluate the estimated output gap series in terms of its forecasting properties, its...

This paper describes the semi-structural model DORY used by Norges Bank as a link between raw data, sector experts and the core policy model NEMO. While the primary objective in NEMO is to analyse business cycle fluctuations and monetary policy, DORY is used to identify the underlying trends in...

In this paper we describe the newly developed System for Model Analysis in Real Time (SMART) used for forecasting and model analysis in Norges Bank. While the long-term goal is to include all empirical models used in forecasting in Norges Bank, the emphasis in this paper will be on the empirical...

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...