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accuracy is assessed through in-sample forecast evaluation across various data sub-samples. This paper also discusses how these …
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desired policy goals. This paper develops a group of models to forecast inflation for Argentina, which includes autoregressive … can improve the forecast ability of the univariate autoregressive benchmark’s model of inflation. The Giacomini-White test … indicates that a BVAR performs better than the benchmark in all forecast horizons. Statistical differences between the two BVAR …
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Economic policies are generally formulated on the basis of data available in real time, which might subsequently be revised. Implicitly, the possibility of data revisions creates an element of uncertainty around the very same data driving policy decisions. Given that such uncertainty could be...
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static forecasts, as well as different measures of forecast errors. Finally, we propose a new class of models which combine …
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. Additionally, an analysis of intra-period forecasts, reveals a slight trend towards increased forecast accuracy as the daily …
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