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- W2593622411 abstract "This paper deals with effect of different real-time datavintages (recent and first outturn) on accuracy of real GDPgrowth forecasts produced by main Czech and Slovak publicauthorities (ministries of finance, central banks). Firstly,variation in the real-time data itself was analysed, along withof multidimensional forecasting error evaluation (MAE, RMSE,MASE measures). Then, battery of statistical tests was appliedin order to determine, whether the switch from first to recentreal-time data affects forecasts´ accuracy in a significantmanner (Wilcoxon Signed Rank test, Sign test) and whether itaffects relative accuracy between individual institutions(Kruskal-Wallis test, Mann-Whitney U test). Our results showthat while the change in underlying data affects forecastingaccuracy in our sample (using recent data lead to highererrors), the changes were neither found statisticallysignificant in strong majority of surveyed cases, nor affectedthe relative accuracy of involved institutions." @default.
- W2593622411 created "2017-03-16" @default.
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- W2593622411 date "2016-01-01" @default.
- W2593622411 modified "2023-09-26" @default.
- W2593622411 title "Evaluation of GDP Growth Forecasts:Does Using Different DataVintages Matter?" @default.
- W2593622411 hasPublicationYear "2016" @default.
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