Forecasting Inflation in Chile Using State-Space and Regime-Switching Models /

The paper estimates two time-varying parameter models of Chilean inflation: a Phillips curve model and a small open economy model. Their out-of-sample forecasts are compared with those of simple Box-Jenkins models. The main findings are; forecasts that include the pre-announced inflation target as a...

Fuld beskrivelse

Bibliografiske detaljer
Hovedforfatter: Nadal De Simone, Francisco
Format: Tidsskrift
Sprog:English
Udgivet: Washington, D.C. : International Monetary Fund, 2000.
Serier:IMF Working Papers; Working Paper ; No. 2000/162
Online adgang:Full text available on IMF
Beskrivelse
Summary:The paper estimates two time-varying parameter models of Chilean inflation: a Phillips curve model and a small open economy model. Their out-of-sample forecasts are compared with those of simple Box-Jenkins models. The main findings are; forecasts that include the pre-announced inflation target as a regressor are relatively better; the Phillips curve model outperforms the small open economy model in out-of-sample forecasts; and although Box-Jenkins models outperform the two models for short-term out-of-sample forecasts, their superiority deteriorates in longer forecasts. Adding a Markov-switching process to the models does not explain much of the conditional variance of the forecast errors.
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Fysisk beskrivelse:1 online resource (54 pages)
Format:Mode of access: Internet
ISSN:1018-5941
Adgang:Electronic access restricted to authorized BRAC University faculty, staff and students