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The effects of COVID‐19 policies on consumer spending in Norway

Author

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  • Fenella Carpena
  • Laurens Swinkels
  • Dan Zhang

Abstract

We examine the effect of COVID‐19 policies on consumer spending using bankcard transactions from Norway. Exploiting variation in COVID‐19 policies over time and across space in the four largest municipalities, we investigate the heterogeneity of policy effects in their number and type. First, we document that the number of restrictions is negatively correlated with spending and exhibits decreasing marginal effects. Second, restrictions do not affect all types of spending equally: restrictions tend to have larger impacts on the sector in which they are targeted. Finally, we find suggestive evidence from a difference‐in‐differences estimation that supports a causal interpretation of our results.

Suggested Citation

  • Fenella Carpena & Laurens Swinkels & Dan Zhang, 2024. "The effects of COVID‐19 policies on consumer spending in Norway," Contemporary Economic Policy, Western Economic Association International, vol. 42(1), pages 56-67, January.
  • Handle: RePEc:bla:coecpo:v:42:y:2024:i:1:p:56-67
    DOI: 10.1111/coep.12627
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    1. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
    2. Akerman, Anders & Ekholm, Karolina & Persson, Torsten & Nordström Skans, Oskar, 2022. "Sweden's COVID-19 Recession: How Foreign and Domestic Infections Struck against Firms and Workers," IZA Discussion Papers 15408, Institute of Labor Economics (IZA).
    3. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    4. Natalie Cox & Peter Ganong & Pascal Noel & Joseph Vavra & Arlene Wong & Diana Farrell & Fiona Greig & Erica Deadman, 2020. "Initial Impacts of the Pandemic on Consumer Behavior: Evidence from Linked Income, Spending, and Savings Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 35-82.
    5. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    6. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    7. Goodman-Bacon, Andrew & Marcus, Jan, 2020. "Using Difference-in-Differences to Identify Causal Effects of COVID-19 Policies," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(2), pages 153-158.
    8. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
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    More about this item

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

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