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A Multidimensional Classification for the Information Technology Market

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  • Inna Lola

Abstract

This paper expands the existing informational and analytical opportunities of application of the results of business tendency surveys which solve the problem of the loss of valuable statistical information in its traditional aggregation into simple and composite indicators. Based on methods of multidimensional classification, we develop and discuss an algorithm of statistical analysis that significantly raises the analytical opportunities for the more wide measurement of trajectories of development and short-term fluctuations of the information technology (IT) industry. This allows the construction of behavioural models of business tendency data which improve the understanding of the business cycle in more detail. Furthermore, the empirical results confirm the possibility of receiving various information which increases the analytical potential of business tendency surveys.

Suggested Citation

  • Inna Lola, 2020. "A Multidimensional Classification for the Information Technology Market," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 70-88.
    • Handle: RePEc:bas:econst:y:2020:i:4:p:70-88
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    References listed on IDEAS

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    1. repec:hig:wpaper:102sti2019 is not listed on IDEAS
    2. Tommaso Proietti & Cecilia Frale, 2011. "New proposals for the quantification of qualitative survey data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(4), pages 393-408, July.
    3. Luciana Crosilla & Solange Leproux & Marco Malgarini & Francesca Spinelli, 2009. "Factor based Composite Indicators for the Italian Economy," ISAE Working Papers 116, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
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    More about this item

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

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