Output gap revisions can be large even after many years. Real-time reliability tests might therefore be sensitive to the choice of the final output gap vintage that the real-time estimates are compared to. This is the case for the Federal Reserve's output gap. When accounting for revisions in...

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...

More than ten percent of Americans with recent work experience say they will continue social distancing after the COVID-19 pandemic ends, and another 45 percent will do so in limited ways. We uncover this Long Social Distancing phenomenon in our monthly Survey of Working Arrangements and...

More than ten percent of Americans with recent work experience say they will continue social distancing after the COVID-19 pandemic ends, and another 45 percent will do so in limited ways. We uncover this Long Social Distancing phenomenon in our monthly Survey of Working Arrangements and...

The COVID-19 crisis has affected economic sectors very heterogeneously, with possible risks for permanent losses in some sectors. This paper presents a sectoral-level, bottom- up method to estimate euro area potential outputin order to assess the impact of the crisis on it. The estimates are...

Policy makers need to separate between temporary demand-driven shocks and permanent shocks in order to design optimal aggregate demand policies. In this paper we study the case of a central bank that ignores the presence of hysteresis when identifying shocks. By assuming that all low-frequency...

Taking into consideration the specifics of the Russian economy such as dependency on oil and gas drilling & production, and including the current context of the Western sanctions, COVID-19 pandemic, as well as somewhat idiosyncratic potential output development, the main aim of this paper is to...

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...

We propose a simple modification of Hamilton’s (2018) time series filter that yields reliable and economically meaningful real-time output gap estimates. The original filter relies on 8 quarter ahead forecast errors of a simple autoregression of real GDP. While this approach yields a cyclical...

Global potential output growth has been flagging. At 2.5 percent in 2013-17, post-crisis potential growth is 0.5 percentage point below its longer-term average and 0.9 percentage point below its average a decade ago. Compared with a decade ago, potential growth has declined 0.8 percentage point...

This paper quantifies the contribution of human capital accumulation to the growth of real gross domestic product (GDP) in Canada. GDP growth is decomposed into contributions from physical capital, hours worked, human capital supplied per hour and total factor productivity. Using a "flat spot"...

Central banks face considerable uncertainty when conducting monetary policy. Some of the reasons for this include limitations of economic data, the unobservability of key macroeconomic variables such as potential output, structural changes to the economy and disagreements over the correct model...

Policy makers need to separate between temporary demand-driven shocks and permanent shocks in order to design optimal aggregate demand policies. In this paper we study the case of a central bank that ignores the presence of hysteresis when identifying shocks. By assuming that all low-frequency...

More than ten percent of Americans with recent work experience say they will continue social distancing after the COVID-19 pandemic ends, and another 45 percent will do so in limited ways. We uncover this Long Social Distancing phenomenon in our monthly Survey of Working Arrangements and...

This study analyzes the relationships between domestic and foreign output gaps, current-account imbalances, and real effective exchange-rate (REER) misalignments. We first set up a theoretical framework based on the elasticities and absorption approaches of the balance of payments to derive and...

Using the measures proposed by Mink et al. (2012), we reexamine the coherence of business cycles in the euro area using a long sample period. We also analyze the impact of the COVID-19 pandemic on business cycle coherence and examine whether our measures for business cycle coherence indicate a...

This paper quantifies the contribution of human capital accumulation to the growth of real gross domestic product (GDP) in Canada. GDP growth is decomposed into contributions from physical capital, hours worked, human capital supplied per hour and total factor productivity. Using a "flat spot"...

Central banks face considerable uncertainty when conducting monetary policy. Some of the reasons for this include limitations of economic data, the unobservability of key macroeconomic variables such as potential output, structural changes to the economy and disagreements over the correct model...

We consider which labor market variables are the most informative for estimating and nowcasting the US output gap using a multivariate trend-cycle decomposition. Although the unemployment rate clearly contains important cyclical information, it also appears to reflect more persistent movements...

The Taylor Rule is widely considered a useful tool to summarise the Fed’s policy, but the information set employed in practice to assess the state of economic activity is still an object of debate. The contribution of this paper is to provide evidence in favour of the following hypotheses....

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...

Do technological improvements mitigate the potential damages from extreme weather events? We address this question using oil production and hurricane data from the Gulf of Mexico. We show that hurricane activity lowers well production and that stronger storms have larger impacts that persist for...

Population aging is becoming a prominent issue in Asia, especially for developing countries where demographic changes have asserted a downward pressure on the rate of growth. This paper refers to such potential unwanted effects as an “aging tax” and analytically examines them from a...

This paper estimates potential growth in Turkey using a production function estimation approach. Our approach aims to measure the inputs of production in the most detailed fashion that is possible and empirically addresses concepts of sustainable potential growth for Turkey. While developing...

Many problems plague the estimation of Phillips curves. Among them is the hurdle that the two key components, inflation expectations and the output gap, are both unobserved. Traditional remedies include creating reasonable proxies for the notable absentees or extracting them via some form of...

The measurement of potential output has been addressed in economics from the supply- and demand-side perspectives. The purpose of this study was to deepen the latter interpretation, focusing on market conditionalities and providing a macro-model (EUMOD21) as a computational tool. This empirical...

We propose a simple modification of the time series filter by Hamilton (2018b) that yields reliable and economically meaningful real-time output gap estimates. The original filter relies on 8-quarter ahead forecasts errors of an autoregression. While this approach yields a cyclical component of...