Prospective Model of Official Statistics For The Digital Age

29 Pages Posted: 22 Jul 2020

See all articles by Leonid Gokhberg

Leonid Gokhberg

National Research University Higher School of Economics

Tatiana Kuznetsova

National Research University Higher School of Economics

Gulnara Abdrakhmanova

National Research University Higher School of Economics

Konstantin Fursov

National Research University Higher School of Economics

Elena Nechaeva

affiliation not provided to SSRN

Sergey Shahsnov

National Research University Higher School of Economics

Anton Suslov

National Research University Higher School of Economics

Date Written: July 21, 2020

Abstract

This paper describes key aspects of the structural and functional transformation of the Russian state statistics system as a core element of the future National Data Management System. Issues such as establishing a dialogue between the statistics service and users, integrating data from various sources, and intelligent data processing in the context of the digitalization of the economy are considered. New approaches and mechanisms should integrate and advance all of the previously achieved best results in methodology, observation areas, metrics, and other domains. Improvement areas include providing higher-quality information for policy shaping, businesses, individuals, and external partners. National statistics is expected to present an interconnected, objectively measurable model of socioeconomic processes and phenomena based on relevant theoretical concepts. In addition to using various sources of data, a necessary feature of the new system will be its reliance on a consistent conceptual framework and approaches to interpreting data, which will make it possible to integrate various data sources in the first place. Users of intelligent statistics are becoming not only active participants in primary data collection, accumulation and application processes, but are turning into “smart” consumers who develop statistical thinking and are able to derive the greatest possible benefits from the use of statistical data. Such skills should become an inherent (and possibly mandatory) component of any.

Keywords: statistics, digital age, data, Russia

JEL Classification: O32

Suggested Citation

Gokhberg, Leonid and Kuznetsova, Tatiana and Abdrakhmanova, Gulnara and Fursov, Konstantin and Nechaeva, Elena and Shahsnov, Sergey and Suslov, Anton, Prospective Model of Official Statistics For The Digital Age (July 21, 2020). Higher School of Economics Research Paper No. WP BRP 111/STI/2020, Available at SSRN: https://ssrn.com/abstract=3657539 or http://dx.doi.org/10.2139/ssrn.3657539

Leonid Gokhberg

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Tatiana Kuznetsova

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Gulnara Abdrakhmanova (Contact Author)

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Konstantin Fursov

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Elena Nechaeva

affiliation not provided to SSRN

Sergey Shahsnov

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Anton Suslov

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

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