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New Understanding and Insights from Time-Series Data Based on Two Generic Measures: S-Time-Distance and S-Time-Step

Pavle Sicherl
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Pavle Sicherl: University of Ljubljana

No 2011/9, OECD Statistics Working Papers from OECD Publishing

Abstract: Time distance is an innovative approach for looking at time-series data. Expressed in time units, the approach is easy to understand and provides a useful complement to existing methods. The time distance approach compares time series in the horizontal dimension, i.e. for a given level of the variable, based on two generic statistical measures: S-time-distance and S-time-step. These measures are based on a time matrix that summarises information over many units and years and that provides a first-level visualization tool. The paper also introduces the concept of the ‘overall degree of disparity’, defined as proximity in the indicator space as well as in time, arguing that this concept has the potential to bring new understanding in economics, management, research and statistics. La distance temporelle est une approche novatrice pour analyser des séries temporelles. Exprimé en unités de temps, l'approche est facile à comprendre et fournit un complément utile aux méthodes existantes. Cette approche compare les séries chronologiques dans la dimension horizontale, c'est-à-dire pour un niveau donné de la variable, basé sur deux mesures statistiques génériques: S-time distance et S-time step. Ces mesures sont basées sur une matrice de temps qui résume l'information sur de nombreuses unités et années, et qui fournit un outil de visualisation de première lecture. Le document introduit aussi le concept de «degré total de disparité», défini comme la proximité dans l'espace ainsi que dans le temps, arguant que ce concept a le potentiel pour apporter une nouvelle compréhension en économie, gestion, et statistiques.

Date: 2011-11-22
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