Irish Quarterly Macroeconomic Data: A Volatility Analysis. ESRI Research Notes 2015/2/1

This Note presents an updated assessment of the volatility of Irish quarterly macroeconomic data from 1997 Q1 to 2014 Q3. This Note follows McCarthy (2003) in highlighting the volatility of Irish quarterly macroeconomic data in an international context. The quarter-to-quarter volatility in real macr...

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Main Author: Conroy, Niall
Format: Text
Language:unknown
Published: 2015
Subjects:
Online Access:http://aei.pitt.edu/98762/
http://aei.pitt.edu/98762/1/RN20150201.pdf
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spelling ftupittaei:oai:aei.pitt.edu:98762 2023-05-15T16:48:37+02:00 Irish Quarterly Macroeconomic Data: A Volatility Analysis. ESRI Research Notes 2015/2/1 Conroy, Niall 2015 application/pdf http://aei.pitt.edu/98762/ http://aei.pitt.edu/98762/1/RN20150201.pdf unknown http://aei.pitt.edu/98762/1/RN20150201.pdf Conroy, Niall (2015) Irish Quarterly Macroeconomic Data: A Volatility Analysis. ESRI Research Notes 2015/2/1. UNSPECIFIED. Ireland economic policy Other NonPeerReviewed 2015 ftupittaei 2019-09-14T22:13:34Z This Note presents an updated assessment of the volatility of Irish quarterly macroeconomic data from 1997 Q1 to 2014 Q3. This Note follows McCarthy (2003) in highlighting the volatility of Irish quarterly macroeconomic data in an international context. The quarter-to-quarter volatility in real macroeconomic aggregates, including gross output (GDP) and gross income (GNP), remain extremely high for the Irish data. The volatility in the Irish data is greater than that displayed by all other OECD countries, except Iceland. This highlights the caution required when interpreting quarterly changes in annualised growth rates. This high level of volatility, combined with large revisions poses challenges for forecasters and policymakers. Text Iceland University of Pittsburgh: Archive of European Integration (AEI) McCarthy ENVELOPE(66.543,66.543,-70.404,-70.404)
institution Open Polar
collection University of Pittsburgh: Archive of European Integration (AEI)
op_collection_id ftupittaei
language unknown
topic Ireland
economic policy
spellingShingle Ireland
economic policy
Conroy, Niall
Irish Quarterly Macroeconomic Data: A Volatility Analysis. ESRI Research Notes 2015/2/1
topic_facet Ireland
economic policy
description This Note presents an updated assessment of the volatility of Irish quarterly macroeconomic data from 1997 Q1 to 2014 Q3. This Note follows McCarthy (2003) in highlighting the volatility of Irish quarterly macroeconomic data in an international context. The quarter-to-quarter volatility in real macroeconomic aggregates, including gross output (GDP) and gross income (GNP), remain extremely high for the Irish data. The volatility in the Irish data is greater than that displayed by all other OECD countries, except Iceland. This highlights the caution required when interpreting quarterly changes in annualised growth rates. This high level of volatility, combined with large revisions poses challenges for forecasters and policymakers.
format Text
author Conroy, Niall
author_facet Conroy, Niall
author_sort Conroy, Niall
title Irish Quarterly Macroeconomic Data: A Volatility Analysis. ESRI Research Notes 2015/2/1
title_short Irish Quarterly Macroeconomic Data: A Volatility Analysis. ESRI Research Notes 2015/2/1
title_full Irish Quarterly Macroeconomic Data: A Volatility Analysis. ESRI Research Notes 2015/2/1
title_fullStr Irish Quarterly Macroeconomic Data: A Volatility Analysis. ESRI Research Notes 2015/2/1
title_full_unstemmed Irish Quarterly Macroeconomic Data: A Volatility Analysis. ESRI Research Notes 2015/2/1
title_sort irish quarterly macroeconomic data: a volatility analysis. esri research notes 2015/2/1
publishDate 2015
url http://aei.pitt.edu/98762/
http://aei.pitt.edu/98762/1/RN20150201.pdf
long_lat ENVELOPE(66.543,66.543,-70.404,-70.404)
geographic McCarthy
geographic_facet McCarthy
genre Iceland
genre_facet Iceland
op_relation http://aei.pitt.edu/98762/1/RN20150201.pdf
Conroy, Niall (2015) Irish Quarterly Macroeconomic Data: A Volatility Analysis. ESRI Research Notes 2015/2/1. UNSPECIFIED.
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