Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/335282 
Erscheinungsjahr: 
2021
Quellenangabe: 
[Journal:] Entrepreneurial Business and Economics Review (EBER) [ISSN:] 2353-8821 [Volume:] 9 [Issue:] 1 [Year:] 2021 [Pages:] 7-29
Verlag: 
Krakow University of Economics, Centre for Strategic and International Entrepreneurship, Krakow
Zusammenfassung: 
Objective: The objective of the article is to prove the empirical and predictive value of the aggregate opinions of businesses and households for expanding cyclical macroeconomic data in Russia, especially during the coronavirus shocks. Research Design & Methods: We use qualitative information from surveys that cover about 24 000 organisations and 5100 households in all Russian regions. The total economic sentiment indicator (TESI) combines information on 18 survey-based indicators. Cross-correlation analysis, Hodrick-Prescott filtering, and a vector autoregressive (VAR) model with dummy variables are used as the research methods. Findings: The study confirms an almost synchronous cyclic conformity of the gross domestic product (GDP) growth and TESI dynamics for the period of 1998-2020. Probable GDP growth until the end of 2021 is estimated based on the expected impulses in the TESI dynamics, including those due to the sudden impact of the coronavirus. Implications & Recommendations: Assessments of business and household activity are reliable and available much earlier than quantitative statistics on GDP growth. Therefore, we advise to use them as an early warning system about economic growth and take them into account in policymaking. Contribution & Value Added: We are the first to confirm the effectiveness and reliability of TESI as a leading indicator of GDP growth in Russia, using data from large-scale business surveys and with a focus on crisis shocks.
Schlagwörter: 
business and consumer surveys
economic sentiment indicator
composite indicators
economic growth
GDP growth
growth cycles
JEL: 
C81
C82
E32
O47
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