The output gap is a commonly used tool to assess the state of the business cycle, and as such, a key input for policy makers. In this article, we employ principal components analysis (PCA) to derive an estimate of the output gap in Finland that summarizes the information of widely used cyclical...

The paper assesses the impact of adding information on financial cycles on the output gap estimates for eight advanced economies using two unobserved components models: a reduced form extended Hodrick-Prescott filter, and a standard semi-structural unobserved components model. To complement...

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 methodology used in the OECD Economics Department to produce historical estimates and short-run projections of potential output. These estimates are used mainly in the OECD Economic Outlook, in country surveys and as starting point for long-run scenarios. Total-economy...

Using European Commission real-time data, we show that potential output (PO) estimates were substantially and persistently revised downwards after the Great Recession. We decompose PO revisions into revisions of the capital stock, trend labor, and trend total-factor productivity (TFP)....

The output gap is a key variable of business cycle analysis and policy. Obtaining reliable estimates for it, is very difficult, though. Most real-time estimates are frequently revised over time. The idea of this paper is to use various indicators, for example from business surveys, that (i) were...

The German economy is an important economic driver in the Euro-area in terms of gross domestic product, labour force and international integration. We provide a state of the art estimate of the German output gap between 1995 and 2022 and present a nowcasting scheme that accurately predicts the...

We estimate the euro area output gap by applying the Beveridge-Nelson decomposition based on a large Bayesian vector autoregression. Our approach incorporates multivariate information through the inclusion of a wide range of variables in the analysis and addresses data issues associated with the...

Assessing potential output and the output gap is essential for policy-making and fiscal surveillance. The European Commission proposes a production function methodology that involves the estimation of two classes of Gaussian state space models. This paper presents the R package RGAP which...

The NAIRU is a key component of potential output and as such critically affects output gap estimates. In May 2014, the European Commission changed its specification of the NAIRU for several countries and lowered its NAIRU estimates - in the case of Spain from 26.6% to 20.7% for 2015. To test the...