A Novel Methodology for Comparisons in Time and Space

Pavle Sicherl
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Pavle Sicherl: SICENTER and University of Ljubljana, Socio-Economic Indicators Center

No 45, East European Series from Institute for Advanced Studies

Abstract: In economics, politics, business and statistics time distance concept can provide new insights from existing data. A novel statistical measure S-distance (expressed in time) is generalised to complement conventional static measures in time series comparisons, regressions, models, forecasting and monitoring. The examples focus on disparities in GDP per capita for EU regions and countries, and selected transition countries. The broader analysis in two dimensions leads to a comprehensive definition of convergence, new hypotheses and policy conclusions. For cohesion in the EU it is important also how fast and not only how much faster the less developed units grow.

Keywords: Time Distance; S-Distance; Cohesion in the EU; Convergence; Disparities in GDP per Capita in the EU; Proximity in Time and Proximity in Indicator Space; Overall Degree of Disparity (search for similar items in EconPapers)
JEL-codes: C10 N10 O10 O52 (search for similar items in EconPapers)
Pages: 53 pages
Date: 1997-09
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