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An inflation‐predicting measure of the output gap in the euro area
Using a small Bayesian dynamic factor model of the euro area, we estimate the deviations of
output from its trend that are consistent with the behavior of inflation. We label these …
output from its trend that are consistent with the behavior of inflation. We label these …
A Bayesian model comparison for trend‐cycle decompositions of output
AL Grant, JCC Chan - Journal of Money, Credit and Banking, 2017 - Wiley Online Library
We compare a number of widely used trend‐cycle decompositions of output in a formal
Bayesian model comparison exercise. This is motivated by the often markedly different …
Bayesian model comparison exercise. This is motivated by the often markedly different …
Norges Bank output gap estimates: Forecasting properties, reliability, cyclical sensitivity and hysteresis
F Furlanetto, K Hagelund, F Hansen… - Oxford Bulletin of …, 2023 - Wiley Online Library
This paper documents the suite of models (SoMs) used by Norges Bank to estimate the
output gap. The models are estimated using data on GDP, unemployment, inflation, wages …
output gap. The models are estimated using data on GDP, unemployment, inflation, wages …
[PDF][PDF] A unified framework to estimate macroeconomic stars
S Zaman - 2021 - aeaweb.org
We develop a flexible semi-structural time-series model to estimate jointly several
macroeconomic “stars”—ie, unobserved long-run equilibrium levels of output (and growth …
macroeconomic “stars”—ie, unobserved long-run equilibrium levels of output (and growth …
The real‐time properties of the Bank of Canada's staff output gap estimates
J Champagne, G Poulin‐Bellisle… - Journal of Money, Credit …, 2018 - Wiley Online Library
We study the revision properties of the Bank of Canada's staff output gap estimates since the
mid‐1980s and show that the average revision has been significantly smaller since the early …
mid‐1980s and show that the average revision has been significantly smaller since the early …
Measuring the output gap using stochastic model specification search
JCC Chan, A Grant - 2017 - papers.ssrn.com
It is well known that different specification choices can give starkly different output gap
estimates. To account for model uncertainty, we average estimates over a wide variety of …
estimates. To account for model uncertainty, we average estimates over a wide variety of …
Dismiss the output gaps? To use with caution given their limitations
L Pichette, MN Robitaille, M Salameh, P St-Amant - Economic Modelling, 2019 - Elsevier
The link between inflation and the output gap is central to the conduct of monetary policy. In
this paper, we use a new real-time database for Canada to study various output gap …
this paper, we use a new real-time database for Canada to study various output gap …
[PDF][PDF] Measuring the output gap using stochastic model specification search
AL Grant, JCC Chan - 2017 - joshuachan.org
It is well known that different specification choices can give starkly different output gap
estimates. To account for model uncertainty, we use stochastic model specification search to …
estimates. To account for model uncertainty, we use stochastic model specification search to …
[HTML][HTML] Should I open to forecast? Implications from a multi-country unobserved components model with sparse factor stochastic volatility
P Wu - International Journal of Forecasting, 2024 - Elsevier
In this paper, we assess whether and when multi-country studies pay off for forecasting
inflation and output growth. Factor stochastic volatility is adopted to allow for cross-country …
inflation and output growth. Factor stochastic volatility is adopted to allow for cross-country …
[LLIBRE][B] Norges bank output gap estimates: Forecasting properties, reliability and cyclical sensitivity
F Furlanetto, K Hagelund, F Hansen, Ø Robstad - 2020 - econstor.eu
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 …
The models are estimated using data on GDP, unemployment, inflation, wages, investment …