OECD Statistics Working Papers

ISSN :
1815-2031 (en ligne)
DOI :
10.1787/18152031
Cacher / Voir l'abstract
The OECD Statistics Working Paper Series - managed by the OECD Statistics Directorate – is designed to make available in a timely fashion and to a wider readership selected studies prepared by staff in the Secretariat or by outside consultants working on OECD projects. The papers included are of a technical, methodological or statistical policy nature and relate to statistical work relevant to the organisation. The Working Papers are generally available only in their original language - English or French - with a summary in the other.
 

New Understanding and Insights from Time-Series Data Based on Two Generic Measures

S-Time-Distance and S-Time-Step You or your institution have access to this content

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Auteur(s):
Pavle Sicherl1
Author Affiliations
  • 1: Université de Ljubljana, Slovénie

Date de publication
22 nov 2011
Bibliographic information
No:
2011/09
Pages
36
DOI
10.1787/5kg1zpzzl1tg-en

Cacher / Voir l'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.