Inference and Forecasting for ARFIMA Models With an Application to US and UK Inflation
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| 024 | 7 | 0 | |a 10.2202/1558-3708.1218 |2 doi |
| 035 | |a (NATIONALLICENCE)gruyter-10.2202/1558-3708.1218 | ||
| 245 | 0 | 0 | |a Inference and Forecasting for ARFIMA Models With an Application to US and UK Inflation |h [Elektronische Daten] |c [Jurgen A Doornik, Marius Ooms] |
| 520 | 3 | |a Practical aspects of likelihood-based inference and forecasting of series with long memory are considered, based on the arfima(p; d; q) model with deterministic regressors. Sampling characteristics of approximate and exact first-order asymptotic methods are compared. The analysis is extended using modified profile likelihood analysis, which is a higher-order asymptotic method suggested by Cox and Reid (1987). The relevance of the differences between the methods is investigated for models and forecasts of monthly core consumer price inflation in the US and quarterly overall consumer price inflation in the UK. | |
| 540 | |a ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston | ||
| 700 | 1 | |a Doornik |D Jurgen A. |u Nuffield College, Oxford, jurgen.doornik@nuffield.ox.ac.uk |4 aut | |
| 700 | 1 | |a Ooms |D Marius |u Free University Amsterdam, mooms@feweb.vu.nl |4 aut | |
| 773 | 0 | |t Studies in Nonlinear Dynamics & Econometrics |d De Gruyter |g 8/2(2004-05-18) |q 8:2 |1 2004 |2 8 |o snde | |
| 856 | 4 | 0 | |u https://doi.org/10.2202/1558-3708.1218 |q text/html |z Onlinezugriff via DOI |
| 908 | |D 1 |a research article |2 jats | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.2202/1558-3708.1218 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Doornik |D Jurgen A. |u Nuffield College, Oxford, jurgen.doornik@nuffield.ox.ac.uk |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Ooms |D Marius |u Free University Amsterdam, mooms@feweb.vu.nl |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Studies in Nonlinear Dynamics & Econometrics |d De Gruyter |g 8/2(2004-05-18) |q 8:2 |1 2004 |2 8 |o snde | ||
| 900 | 7 | |b CC0 |u http://creativecommons.org/publicdomain/zero/1.0 |2 nationallicence | |
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