Assessing the ability of output gap estimates to forecast inflation in emerging countries

We find that, while different models used to estimate the output gap in five major emerging economies show similar trends over time, they lead to different conclusions about how well the output gap can predict inflation. This suggests that the choice of model can significantly impact the conclusions...

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Main Author: Nwabisa Florence Ndzama
Format: Article
Language:English
Published: Voprosy Ekonomiki 2025-06-01
Series:Russian Journal of Economics
Online Access:https://rujec.org/article/126000/download/pdf/
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author Nwabisa Florence Ndzama
author_facet Nwabisa Florence Ndzama
author_sort Nwabisa Florence Ndzama
collection DOAJ
description We find that, while different models used to estimate the output gap in five major emerging economies show similar trends over time, they lead to different conclusions about how well the output gap can predict inflation. This suggests that the choice of model can significantly impact the conclusions drawn about the relationship between the output gap and inflation. The multivariate Hodrick–Prescott filter and the structural vector autoregressive model produce the smallest forecast errors in most cases among the four output gap models considered. We further find some indications of a better inflation forecasting ability of the output gap in countries with inflation targeting, suggesting that the improved transparency related to inflation targeting might support the inflation forecasting process.
format Article
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publisher Voprosy Ekonomiki
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spelling doaj-art-faedc8266f0f4180a643d3a80a428ebd2025-07-02T07:31:33ZengVoprosy EkonomikiRussian Journal of Economics2405-47392025-06-0111214416710.32609/j.ruje.11.126000126000Assessing the ability of output gap estimates to forecast inflation in emerging countriesNwabisa Florence Ndzama0Corvinus University of BudapestWe find that, while different models used to estimate the output gap in five major emerging economies show similar trends over time, they lead to different conclusions about how well the output gap can predict inflation. This suggests that the choice of model can significantly impact the conclusions drawn about the relationship between the output gap and inflation. The multivariate Hodrick–Prescott filter and the structural vector autoregressive model produce the smallest forecast errors in most cases among the four output gap models considered. We further find some indications of a better inflation forecasting ability of the output gap in countries with inflation targeting, suggesting that the improved transparency related to inflation targeting might support the inflation forecasting process.https://rujec.org/article/126000/download/pdf/
spellingShingle Nwabisa Florence Ndzama
Assessing the ability of output gap estimates to forecast inflation in emerging countries
Russian Journal of Economics
title Assessing the ability of output gap estimates to forecast inflation in emerging countries
title_full Assessing the ability of output gap estimates to forecast inflation in emerging countries
title_fullStr Assessing the ability of output gap estimates to forecast inflation in emerging countries
title_full_unstemmed Assessing the ability of output gap estimates to forecast inflation in emerging countries
title_short Assessing the ability of output gap estimates to forecast inflation in emerging countries
title_sort assessing the ability of output gap estimates to forecast inflation in emerging countries
url https://rujec.org/article/126000/download/pdf/
work_keys_str_mv AT nwabisaflorencendzama assessingtheabilityofoutputgapestimatestoforecastinflationinemergingcountries