A Novel Methodology for Comparisons in Time and Space
AbstractIn 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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Bibliographic InfoPaper provided by Institute for Advanced Studies in its series East European Series with number 45.
Length: 53 pages
Date of creation: Sep 1997
Date of revision:
Postal: Institute for Advanced Studies - Library, Stumpergasse 56, A-1060 Vienna, Austria
Find related papers by JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- N10 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; 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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