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Impacts of the COVID-19 Lockdown on Consumption: Household Data from India

Author

Listed:
  • ANIRBAN SANYAL

    (Department of Economics, University of California Santa Cruz, Santa Cruz, California, United States)

  • NIRVIKAR SINGH

    (Department of Economics, University of California Santa Cruz, Santa Cruz, California, United States)

  • ROLLY KAPOOR

    (Department of Economics, University of California Santa Cruz, Santa Cruz, California, United States)

Abstract

We quantify the impacts on consumption expenditure and the patterns following India’s initial sudden lockdown in response to the coronavirus disease pandemic and the gradual relaxation that followed. We use household survey data from a representative Indian state, Punjab. We separate the effects between rural versus urban households, and whether the households were female headed or had daily laborers. While the urban population cut back expenditure across all categories, rural households shifted toward basic commodities and cut back more on other expenditure. Rural households that included daily-wage laborers were the most severely affected.

Suggested Citation

  • Anirban Sanyal & Nirvikar Singh & Rolly Kapoor, 2023. "Impacts of the COVID-19 Lockdown on Consumption: Household Data from India," Asian Development Review (ADR), World Scientific Publishing Co. Pte. Ltd., vol. 40(02), pages 211-240, September.
    • Handle: RePEc:wsi:adrxxx:v:40:y:2023:i:02:n:s011611052350018x
    DOI: 10.1142/S011611052350018X
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    More about this item

    Keywords

    consumption expenditure; consumption variety; COVID-19; lockdown;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution

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