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Impact of COVID-19 on household consumption in Russia

Author

Listed:
  • Voytenkov, Valentin

    (HSE University, Moscow, Russia;)

  • Demidova, Olga

    (HSE University, Moscow, Russia;)

Abstract

This paper investigates the impact of the COVID-19 pandemic on household consumption patterns in Russia. We use household budget survey data, modelling the impact of household socioeconomic characteristics on consumption patterns. Additionally, we account for the regional heterogeneity of the severity of the quarantine measures. The results indicate a quantitative change in household consumption structure, but consumers’ behaviour patterns remain unchanged.

Suggested Citation

  • Voytenkov, Valentin & Demidova, Olga, 2023. "Impact of COVID-19 on household consumption in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 72, pages 73-99.
    • Handle: RePEc:ris:apltrx:0486
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    References listed on IDEAS

    as
    1. Matteo Migheli, 2022. "Covid-19 and heterogeneous restrictions: possible consequences for EU cities [Analysis of mobility trends during the COVID-19 coronavirus pandemic: exploring the impacts of global aviation and trav," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 15(3), pages 703-723.
    2. Jordi Galí & Mark Gertler & J. David López-Salido, 2007. "Markups, Gaps, and the Welfare Costs of Business Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 44-59, November.
    3. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2012. "The distribution of household consumption-expenditure budget shares," Structural Change and Economic Dynamics, Elsevier, vol. 23(1), pages 69-91.
    4. W. W. Rostow, 1959. "The Stages Of Economic Growth," Economic History Review, Economic History Society, vol. 12(1), pages 1-16, August.
    5. Jimin Xiong & Zhanfeng Tang & Yufeng Zhu & Kefeng Xu & Yanhong Yin & Yang Xi, 2021. "Change of Consumption Behaviours in the Pandemic of COVID-19: Examining Residents’ Consumption Expenditure and Driving Determinants," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    6. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    7. Wang, Junfeng & Xu, Xiaoya & Wang, Shimeng & He, Shutong & He, Pan, 2021. "Heterogeneous effects of COVID-19 lockdown measures on air quality in Northern China," Applied Energy, Elsevier, vol. 282(PA).
    8. N. V. Zubarevich & S. G. Safronov, 2020. "Russian Regions in the Acute Phase of the Coronavirus Crisis: Differences from Previous Economic Crises of the 2000s," Regional Research of Russia, Springer, vol. 10(4), pages 443-453, October.
    9. Gordon Anderson & Richard Blundell, 1983. "Testing Restrictions in a Flexible Dynamic Demand System: An Application to Consumers' Expenditure in Canada," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(3), pages 397-410.
    10. Kolomak, E. A., 2020. "Economic effects of pandemic-related restrictions in Russia and their spatial heterogeneity," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 6(3), pages 154-161.
    11. Natalini, Davide & Bravo, Giangiacomo & Newman, Edward, 2020. "Fuel riots - definition, evidence and policy implications for a new type of energy-related conflict," SocArXiv p83jr, Center for Open Science.
    12. Haiqiang Chen & Wenlan Qian & Qiang Wen, 2021. "The Impact of the COVID-19 Pandemic on Consumption: Learning from High-Frequency Transaction Data," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 307-311, May.
    13. Marina G. Kolosnitsyna & Mikhail Yu. Chubarov, 2022. "Spread of COVID-19 in the Russian regions in 2020: factors of excess mortality," Population and Economics, ARPHA Platform, vol. 6(4), pages 1-20, December.
    14. Gumataw Kifle Abebe & Sylvain Charlebois & Janet Music, 2022. "Canadian Consumers’ Dining Behaviors during the COVID-19 Pandemic: Implications for Channel Decisions in the Foodservice Industry," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    15. L. M. Grigoryev & Z. S. Elkina & P. A. Mednikova & D. A. Serova & M. F. Starodubtseva & E. S. Filippova, 2021. "The perfect storm of personal consumption," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 10.
    16. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    17. Jaewoo Lee & Pau Rabanal & Damiano Sandri, 2010. "U.S. Consumption after the 2008 Crisis," IMF Staff Position Notes 2010/01, International Monetary Fund.
    18. Soberon-Ferrer, Horacio & Dardis, Rachel, 1991. "Determinants of Household Expenditures for Services," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 385-397, March.
    19. Ekaterina Berendeeva & Tatyana Ratnikova, 2018. "Modeling the Food Embargo Impact on the Russian Households’ Consumption," HSE Economic Journal, National Research University Higher School of Economics, vol. 22(1), pages 9-39.
    20. Mr. Jaewoo Lee & Mr. Pau Rabanal & Mr. Damiano Sandri, 2010. "U.S. Consumption after the 2008 Crisis," IMF Staff Position Notes 2010/001, International Monetary Fund.
    21. Nazneen Ferdous & Abdul Pinjari & Chandra Bhat & Ram Pendyala, 2010. "A comprehensive analysis of household transportation expenditures relative to other goods and services: an application to United States consumer expenditure data," Transportation, Springer, vol. 37(3), pages 363-390, May.
    22. Christiana Osei Bonsu & Paul-Francois Muzindutsi, 2017. "Macroeconomic Determinants of Household Consumption Expenditure in Ghana: A Multivariate Cointegration Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 737-745.
    23. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    24. Pushan Dutt & V. Padmanabhan, 2011. "Crisis and Consumption Smoothing," Marketing Science, INFORMS, vol. 30(3), pages 491-512, 05-06.
    25. Edelstein, Paul & Kilian, Lutz, 2009. "How sensitive are consumer expenditures to retail energy prices?," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 766-779, September.
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    More about this item

    Keywords

    micro-level analysis; COVID-19; consumption structure; rigidity of quarantine restrictions; income; education attainment.;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • R29 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other

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