A MULTIDIMENSIONAL CLASSIFICATION FOR THE INFORMATION TECHNOLOGY MARKET

Inna Lola () and Sergey Gluzdovsky ()
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Sergey Gluzdovsky: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

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, an algorithm of statistical analysis significantly raises the analytical opportunities for the more wide measurement of trajectories of development and short-term fluctuations of branch of the information technology (IT) is developed and discussed. This allows the construction of behavioral 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

Keywords: information and communication technology (ICT); information technology (IT); business climate; business tendency surveys; behavioral models; digitalization. (search for similar items in EconPapers)
JEL-codes: C1 C38 C81 C83 L1 L26 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2018
New Economics Papers: this item is included in nep-pay
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Published in WP BRP Series: Science, Technology and Innovation / STI, November 2018, pages 1-26

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https://wp.hse.ru/data/2018/11/27/1141425451/90STI2018.pdf (application/pdf)

Related works:
Journal Article: A Multidimensional Classification for the Information Technology Market (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:hig:wpaper:90sti2018

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