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A Novel Methodology for Comparisons in Time and Space

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Author Info
Sicherl, Pavle (SICENTER and University of Ljubljana, Socio-Economic Indicators Center)
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.

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File URL: http://www.ihs.ac.at/publications/eco/east/ro-45.pdf
File Format: application/pdf
File Function: First version, 1997
Download Restriction: no

Publisher Info
Paper provided by Institute for Advanced Studies in its series East European Series with number 45.

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Length: 53 pages
Date of creation: Sep 1997
Date of revision:
Handle: RePEc:ihs:ihsrop:45

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Related research
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;

Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
N10 - Economic History - - Macroeconomics and Monetary Economics; Growth and Fluctuations - - - General, International, or Comparative
O10 - Economic Development, Technological Change, and Growth - - Economic Development - - - General
O52 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Europe

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This page was last updated on 2009-12-9.

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