Non-Stochastic Argumentation in Predicting Economic Indices

Luboš Marek, Richard Hindls, Stanislava Hronová

Non-Stochastic Argumentation in Predicting Economic Indices

Číslo: 1/2021
Periodikum: Statistika

Klíčová slova: Statistical prognostics, non-stochastic point forecast, non-stochastic prediction range, GDP

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Anotace: This paper studies the use of statistical prognostics in predictions of short-term year-to-year evolution of GDP and other aggregate indices of the national accounts. It shows the utilisation of a non-stochastic prediction range to be used as a prediction tool that, to a certain extent, overcomes the validity of the ceteris paribus principle, on which most of the currently used stochastic approaches are based. The non-stochastic range is a resultant outcome of a wide assortment of time-series models; at the same time, a point forecast for short-term evolution is derived from the said assortment of models. We illustrate our methodology on a year-to-year evolution of GDP indices in France as a time series with a sufficiently large number of observations.