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首页> 外文期刊>Journal of business & economic statistics >Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts
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Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts

机译:使用熵倾斜将BVAR预测与外部临近预报结合起来

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This article shows entropic tilting to be a flexible and powerful tool for combining medium-term forecasts from BVARs with short-term forecasts from other sources (nowcasts from either surveys or other models). Tilting systematically improves the accuracy of both point and density forecasts, and tilting the BVAR forecasts based on nowcast means and variances yields slightly greater gains in density accuracy than does just tilting based on the nowcast means. Hence, entropic tilting can offermore so for persistent variables than not-persistent variablessome benefits for accurately estimating the uncertainty of multi-step forecasts that incorporate nowcast information.
机译:本文显示,熵倾斜是将BVAR的中期预测与其他来源的短期预测(调查或其他模型的预报)相结合的灵活而强大的工具。倾斜可以系统地提高点和密度预测的准确性,并且基于临近预报均值和方差倾斜BVAR预测比仅基于临近预报均值倾斜会带来更高的密度精度增益。因此,与非持久变量相比,熵倾斜可以为持久变量提供更多的好处,可以为准确估计包含临近预报信息的多步预测的不确定性提供一些好处。

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