Economic dimensions: probability and reliability, mathematical modeling, Big Data, e-statistics

Abstract

After the brief description of the role Suslov I.P. (in 2015 was celebrated the 100^th anniversary of his birth) had in the development of national statistics in XX century, the article consistently describes the author’s approach to the problem of measuring economic statistics. The content of economic measurement is revealed; the author shows the modern relationship between the economic dimension and mathematical modeling; the author’s position in interpreting the problems of big data and e-statistics is expressed. With regard to the subject of the study the author emphasizes that accuracy, uncertainty, under coverage - are the fundamental features of economic dimensions that influence the probabilistic approach to the interpretation of statistical indicators. Using Big Data significantly changes the understanding of the role of empirical information for practical decision-making and testing of theoretical hypotheses in forming scientific concepts. Collection and processing of primary information on the status and dynamics of economic processes, statistical reporting of enterprises and organizations must be based on electronic bookkeeping of tax, customs and others documents, accompanying the movement of goods, services and capital.