Improving the collection and quality of official statistics data as a factor of increasing the values and accuracy of key macroeconomic indicators for forecasting by the example of the “investment in fixed capital” indicator in Moscow

Улучшение собираемости и качества данных официальной статистики как фактор повышения значений и точности ключевых макроэкономических индикаторов для составления прогнозов на примере показателя «инвестиции в основной капитал» в Москве

Vedev, Aleksei (Ведев, Алексей) (), Silchuk, Aleksandra (Сильчук, Александра) (), Eremkin, Vladimir (Еремкин, Владимир) (), Tuzov, Konstantin (Тузов, Константин) () and Kovaleva, Maria (Ковалева, Мария) ()
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Vedev, Aleksei (Ведев, Алексей): The Russian Presidential Academy of National Economy and Public Administration
Silchuk, Aleksandra (Сильчук, Александра): The Russian Presidential Academy of National Economy and Public Administration
Eremkin, Vladimir (Еремкин, Владимир): The Russian Presidential Academy of National Economy and Public Administration
Tuzov, Konstantin (Тузов, Константин): The Russian Presidential Academy of National Economy and Public Administration
Kovaleva, Maria (Ковалева, Мария): The Russian Presidential Academy of National Economy and Public Administration

Working Papers from Russian Presidential Academy of National Economy and Public Administration

Abstract: The relevance of the topic is due to the fact that official statistics are an important source of information for decision-making in various areas of the economy. However, the accuracy of official statistics may be subject to distortions due to incomplete or incorrect collection of information. These types of inaccuracies can lead to incorrect analysis of the current situation and incorrect forecasts. For this reason, it is important to conduct research aimed at improving the collection and quality of official statistics. The purpose of the study is to develop proposals for improving the collection and quality of official statistics data and their impact on the accuracy and significance of key macroeconomic indicators using the example of the indicator “investment in fixed capital” in Moscow. The subject of the study is methods and approaches to improving the accuracy and collectability of official statistics data used to measure the volume of investment in fixed assets in Moscow. The research method or methodology is based on the study of key current and historical data used to measure the volume of investment in fixed assets in Moscow. Main research methods: Analysis of scientific literature and official documents, empirical research, modeling method. In general, the research methodology is a comprehensive and multi-stage approach, which made it possible to achieve the set goal and solve the research problems. As a result of the work, an analysis of the current situation with the collection of official statistics data in Moscow was carried out and recommendations were proposed for improving this process. The results of the study can be used to develop more accurate forecasts and government planning based on more reliable information. The scientific novelty of the research lies in the development of unique proposals for scaling the experience of Moscow to other constituent entities of the Russian Federation. The recommendations obtained as a result of the study indicate that scaling the practices described in this paper requires concerted efforts on the part of various government bodies, as well as active interaction with the private sector. A key success factor is the creation of effective mechanisms for informing, training and motivating companies to submit correct statistical data. The project was carried out as part of research work by the Laboratory for Structural Research of the IPEI RANEPA under the President of Russian Federation in 2023.

Keywords: Statistical estimates; economic phenomena; official statistics; methodological problems; increasing the collection of primary data; statistical measurements; investments in fixed capital; methodological features; problems; scaling (search for similar items in EconPapers)
JEL-codes: C15 E22 H11 H54 M48 (search for similar items in EconPapers)
Pages: 42 pages
Date: 2023
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