Geodesic
The all-russian classifiers are an important tool for describing and modeling types of economic activity
Journal of computational and engineering mathematics, Tome 10 (2023) no. 4, pp. 51-59.

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The article analyzes the construction of a time series of data obtained using two all-Russian classifiers of economic activities: ACTEA-2007 (data from 2005 to 2016) and ACTEA2 (data from 2017 to 2022). The research was carried out by types of activities in the field of information technology, the encoding of which varies greatly in these classifiers. The series are studied using Python program code. For the generated time series, statistical models were constructed using regression analysis and a forecast for two years ahead was made. When checking the possibility of applying one obtained equation to two samples, the Chow test is used. The research showed that it is possible to make a qualitative statistical model using various regression equations based on the given time series: in this article, polynomial and piecewise linear models are considered.
Keywords: statistical modeling, the all-Russian classifier of economic activities, regression analysis, polynomial, piecewise broken model. 
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     author = {N. V. Poletaeva and N. S. Kolotova},
     title = {The all-russian classifiers are an important tool for describing and modeling types of economic activity},
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N. V. Poletaeva; N. S. Kolotova. The all-russian classifiers are an important tool for describing and modeling types of economic activity. Journal of computational and engineering mathematics, Tome 10 (2023) no. 4, pp. 51-59. http://geodesic.mathdoc.fr/item/JCEM_2023_10_4_a3/