A Multidimensional Classification for the Information Technology Market

Inna Lola ()

Economic Studies journal, 2020, issue 4, 70-88

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.

JEL-codes: C1 C38 C81 C83 L1 L26 (search for similar items in EconPapers)
Date: 2020
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https://www.iki.bas.bg/Journals/EconomicStudies/2020/2020-4/4_InnaLola_f-f.pdf

Related works:
Working Paper: A MULTIDIMENSIONAL CLASSIFICATION FOR THE INFORMATION TECHNOLOGY MARKET (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:bas:econst:y:2020:i:4:p:70-88

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