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A Statistical Approach Of The Spatial-Temporal Variability Of A Phenomenon Using A Ro-Eu Composite Index

Author

Listed:
  • Elisabeta Jaba

    (AL.I. Cuza" University Iasi, Romania)

  • Alina Botezat

    (AL.I. Cuza" University Iasi, Romania)

  • Christiana Brigitte Balan

    (AL.I. Cuza" University Iasi, Romania)

Abstract

This study aims at presenting a new computation index, which simultaneously measures the time and space variation of the various economic indices. The elaboration method of the space-time index is based on a matrix construct, the time and space variation of the analyzed economic index being represented via a system of vectors in plane. The practical application of the compound index is exemplified by employing the data on the growth rate of the GDP/inhabitant, calculated for two spatial entities: Romania and the European Union, for the period 1999-2008. The obtained findings confirm the fact that the proposed space-time index is a good analysis tool for the measurement of the time and space variation related to the various economic indices, as well as for testing the economic convergence for discrete time moments.

Suggested Citation

  • Elisabeta Jaba & Alina Botezat & Christiana Brigitte Balan, 2010. "A Statistical Approach Of The Spatial-Temporal Variability Of A Phenomenon Using A Ro-Eu Composite Index," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 4(1), pages 1-14, JUNE.
    • Handle: RePEc:rrs:journl:v:4:y:2010:i:1:p:1-14
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    More about this item

    Keywords

    space-time index; convergence; economic shock.;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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