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gathering picking up during the recession period. We also find that forecast revisions depend on both own country and cross …-country lagged revisions. Therefore, one source of information rigidity is not to incorporate overseas events in forecast revisions …
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forecast model that dominates all competitors. Focusing on Brazilian data, this paper aims to identify the existence of … models may vary over time. The problems of using individual models may be reduced by applying forecast combining schemes. The … empirical results show consistent forecast gains of combining schemes over time. In particular, the longer the forecast horizon …
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exploit many predictors, and this chapter surveys these methods. The first group of methods considered is forecast combination … (forecast pooling), in which a single forecast is produced from a panel of many forecasts. The second group of methods is based … increasingly precise as the number of series increases) can be used to forecast individual economic variables. The third group of …
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property that as the forecast horizon shortens accuracy improves. On average, forecasters underpredict inflation, but this …-ahead forecasts but not for current year. Tests' results point to forecast inefficiency which is also evidenced by a tendency to … inflation rate and the extent of underprediction increases during recessions. The hypothesis of forecast efficiency is …
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This chapter summarizes recent literature on asymptotic inference about forecasts. Both analytical and simulation based methods are discussed. The emphasis is on techniques applicable when the number of competing models is small. Techniques applicable when a large number of models is compared to...
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