Housing Boom and Headline Inflation : Insights from Machine Learning /
Inflation has been rising during the pandemic against supply chain disruptions and a multi-year boom in global owner-occupied house prices. We present some stylized facts pointing to house prices as a leading indicator of headline inflation in the U.S. and eight other major economies with fast-risin...
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| Awduron Eraill: | , |
| Fformat: | Cylchgrawn |
| Iaith: | English |
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Washington, D.C. :
International Monetary Fund,
2022.
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| Cyfres: | IMF Working Papers; Working Paper ;
No. 2022/151 |
| Pynciau: | |
| Mynediad Ar-lein: | Full text available on IMF |
| Crynodeb: | Inflation has been rising during the pandemic against supply chain disruptions and a multi-year boom in global owner-occupied house prices. We present some stylized facts pointing to house prices as a leading indicator of headline inflation in the U.S. and eight other major economies with fast-rising house prices. We then apply machine learning methods to forecast inflation in two housing components (rent and owner-occupied housing cost) of the headline inflation and draw tentative inferences about inflationary impact. Our results suggest that for most of these countries, the housing components could have a relatively large and sustained contribution to headline inflation, as inflation is just starting to reflect the higher house prices. Methodologically, for the vast majority of countries we analyze, machine-learning models outperform the VAR model, suggesting some potential value for incorporating such models into inflation forecasting. |
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| Disgrifiad o'r Eitem: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
| Disgrifiad Corfforoll: | 1 online resource (45 pages) |
| Fformat: | Mode of access: Internet |
| ISSN: | 1018-5941 |
| Mynediad: | Electronic access restricted to authorized BRAC University faculty, staff and students |