Non-Quantitative Observations and their Processing Methods in Statistical Analysis of Russian Information Technologies Market
Abstract
This article presents results of non-quantitative observations and their processing methods, which significantly widen the analytical capabilities of the statistical measurement of the Russian IT market. There is a need to expand statistical tools to reflect current and future sectoral development trends in the IT sphere promptly and broadly, due to the rapid penetration of these services into the Russian market. With the help of business climate indicators and different homogeneous behavior models the author analyzed business trends in the financial and economic activities of IT organizations, highlighting their operating characteristics within the various cyclical episode of 2010-2017.
About the Author
I. S. Lola
National Research University Higher School of Economics
Russian Federation
Cand. Sci. (Econ.), Deputy Director, Centre for Business Tendency Studies, Institute for Statistical Studies and Economics of Knowledge
Russian Federation
Cand. Sci. (Econ.), Deputy Director, Centre for Business Tendency Studies, Institute for Statistical Studies and Economics of Knowledge
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Review
For citations:
Lola I.S. Non-Quantitative Observations and their Processing Methods in Statistical Analysis of Russian Information Technologies Market. Voprosy statistiki. 2018;25(3):25-42. (In Russ.)
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