Forecasting Costa Rican Quarterly Growth with Mixed-frequency Models

 

Đã lưu trong:
Chi tiết về thư mục
Tác giả: Rodríguez Vargas, Adolfo
Định dạng: artículo original
Trạng thái:Versión publicada
Ngày xuất bản:2014
Miêu tả: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.
Quốc gia:Portal de Revistas UCR
Tổ chức giáo dục:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Ngôn ngữ:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/17267
Truy cập trực tuyến:https://revistas.ucr.ac.cr/index.php/economicas/article/view/17267
Từ khóa:DATOS DE FRECUENCIA MIXTA
MODELOS MIDAS
MODELOS BRIDGE
PRONÓSTICO EN TIEMPO REAL
MIXED -FREQUENCY DATA
MIDAS MODELS
BRIDGE MODELS
NOWCASTING