Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes
This paper examines whether the inclusion of several commodity indexes in multivariate mod- els could improve the forecast of CPI inflation for Belgium and Norway. The results from the multivariate forecast models are compared to three different univariate models: an AR(1), an Atkeson & Ohanian model, and an other autoregressive model with specific lags chosen. The second objective of this thesis, is to assess if the economic profile of a country would provide better forecasting results. In this case, due to the importance of commodities for the Norwegian economy (almost 70% of their total... Mehr ...
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Dokumenttyp: | masterThesis |
Erscheinungsdatum: | 2015 |
Schlagwörter: | forecasting / time series / CPI inflation / commodity indexes / univariate and multivariate models |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28877007 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://hdl.handle.net/2078.1/thesis:2678 |