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Forecasting australian macroeconomic variables using a large dataset

机译:使用大型数据集预测澳大利亚宏观经济变量

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This paper investigates the forecasting performance of the diffusion index approach for the Australian economy, and considers the forecasting performance of the diffusion index approach relative to composite forecasts. Weighted and unweighted factor forecasts are benchmarked against composite forecasts, and forecasts derived from individual forecasting models. The results suggest that diffusion index forecasts tend to improve on the benchmark AR forecasts. We also observe that weighted factors tend to produce better forecasts than their unweighted counterparts. We find, however, that the size of the forecasting improvement is less marked than previous research, with the diffusion index forecasts typically producing mean square errors of a similar magnitude to the VAR and BVAR approaches.
机译:本文研究了扩散指数方法对澳大利亚经济的预测性能,并考虑了扩散指数方法相对于综合预测的预测性能。加权和非加权因子预测以综合预测为基准,并且预测来自各个预测模型。结果表明,扩散指数的预测往往比基准AR预测有所改善。我们还观察到,加权因子比未加权因子倾向于产生更好的预测。但是,我们发现,预测改进的大小没有以前的研究那么明显,扩散指数预测通常会产生与VAR和BVAR方法相似的均方误差。

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