Forecasting Costa Rican Quarterly Growth with Mixed-frequency Models

 

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Auteur: Rodríguez Vargas, Adolfo
Format: artículo original
Statut:Versión publicada
Date de publication:2014
Description:We assess the utility of mixed-frequency models to forecast the quarterly growth rate of Costa Rican real GDP: we estimate bridge and MiDaS models with several lag lengths using information of the IMAE and compute forecasts (horizons of 0-4 quarters) which are compared between themselves, with those of ARIMA models and with those resulting from forecast combinations. Combining the most accurate forecasts is most useful when forecasting in real time, whereas MiDaS forecasts are the best-performing overall: as the forecasting horizon increases, their precisionis affected relatively little; their success rates in predicting the direction of changes in the growth rate are stable, and several forecastsremain unbiased. In particular, forecasts computed from simple MiDaS with 9 and 12 lags are unbiased at all horizons and information sets assessed, and show the highest number of significant differences in forecasting ability in comparison with all other models.
Pays:Portal de Revistas UCR
Institution:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Langue:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/17267
Accès en ligne:https://revistas.ucr.ac.cr/index.php/economicas/article/view/17267
Mots-clés:DATOS DE FRECUENCIA MIXTA
MODELOS MIDAS
MODELOS BRIDGE
PRONÓSTICO EN TIEMPO REAL
MIXED -FREQUENCY DATA
MIDAS MODELS
BRIDGE MODELS
NOWCASTING