Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/28935.html
   My bibliography  Save this paper

Explaining the Income and Consumption Effects of COVID in India

Author

Listed:
  • Arpit Gupta
  • Anup Malani
  • Bartek Woda
Abstract
The COVID-19 pandemic led to stark reductions in economic activity in India. We employ CMIE's Consumer Pyramids Household Survey to examine the timing, distribution, and mechanism of the impacts from this shock on income and consumption through December 2020. First, we estimate large and heterogeneous drops in income, with ambiguous effects on inequality. While incomes of salaried workers fell 35%; incomes of daily laborers fell 75%. At the same time, we observe that income fell more for individuals from households in the highest income quartile. Second, we document an increase in effort to buffer income shocks by switching occupations. We employ a Roy Model to estimate the gains from occupation churn and find, surprisingly, that reservation wages fell, implying that the risk of COVID did not reduce the value of employment. Third, we find that consumption fell less than income, suggesting households were able to smooth the idiosyncratic components of the COVID shock as well as they did before COVID. Finally, consumption of food and fuel fell less than consumption of durables such as clothing and appliances. Following Costa (2001) and Hamilton (2001), we estimate Engel curves and find that changes in consumption reflect large price shocks (rather than a retreat to subsistence) in sectors other than food and fuel/power. In the food sector, it appear that lockdown successfully distinguished essential and non-essential services, at least to the extent that it did not increase the relative price of food. There is some suggestive evidence that the price shocks outside the food sector were larger in places with greater COVID-19 cases, even during the lockdown.

Suggested Citation

  • Arpit Gupta & Anup Malani & Bartek Woda, 2021. "Explaining the Income and Consumption Effects of COVID in India," NBER Working Papers 28935, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28935
    Note: DEV
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w28935.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Raj Chetty & Adam Looney, 2007. "Income Risk and the Benefits of Social Insurance: Evidence from Indonesia and the United States," NBER Chapters, in: Fiscal Policy and Management in East Asia, pages 99-121, National Bureau of Economic Research, Inc.
    2. David Atkin & Benjamin Faber & Thibault Fally & Marco Gonzalez-Navarro, 2024. "Measuring Welfare and Inequality with Incomplete Price Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(1), pages 419-475.
    3. Elizabeth Frankenberg & James P. Smith & Duncan Thomas, 2003. "Economic Shocks, Wealth, and Welfare," Journal of Human Resources, University of Wisconsin Press, vol. 38(2).
    4. Townsend, Robert M, 1994. "Risk and Insurance in Village India," Econometrica, Econometric Society, vol. 62(3), pages 539-591, May.
    5. Rosa Abraham & Anand Shrivastava, 2022. "How Comparable are India’s Labour Market Surveys?," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 65(2), pages 321-346, June.
    6. Emi Nakamura & Jón Steinsson & Miao Liu, 2016. "Are Chinese Growth and Inflation Too Smooth? Evidence from Engel Curves," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(3), pages 113-144, July.
    7. Carlos Carrillo‐Tudela & Ludo Visschers, 2023. "Unemployment and Endogenous Reallocation Over the Business Cycle," Econometrica, Econometric Society, vol. 91(3), pages 1119-1153, May.
    8. Fane Groes & Philipp Kircher & Iourii Manovskii, 2015. "The U-Shapes of Occupational Mobility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 659-692.
    9. Ashwini Deshpande, 2020. "The Covid-19 Pandemic and Lockdown: First Effects on Gender Gaps in Employment and Domestic Work in India," Working Papers 30, Ashoka University, Department of Economics, revised 02 Jun 2020.
    10. Swati Dhingra & Stephen Machin, 2020. "The crisis and job guarantees in urban India," CEP Discussion Papers dp1719, Centre for Economic Performance, LSE.
    11. Dirk Krueger & Fabrizio Perri, 2006. "Does Income Inequality Lead to Consumption Inequality? Evidence and Theory -super-1," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(1), pages 163-193.
    12. Giuseppe Moscarini & Kaj Thomsson, 2007. "Occupational and Job Mobility in the US," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(4), pages 807-836, December.
    13. Mark Aguiar & Mark Bils, 2015. "Has Consumption Inequality Mirrored Income Inequality?," American Economic Review, American Economic Association, vol. 105(9), pages 2725-2756, September.
    14. Rose, Elaina, 2001. "Ex ante and ex post labor supply response to risk in a low-income area," Journal of Development Economics, Elsevier, vol. 64(2), pages 371-388, April.
    15. Rosenzweig, Mark R & Stark, Oded, 1989. "Consumption Smoothing, Migration, and Marriage: Evidence from Rural India," Journal of Political Economy, University of Chicago Press, vol. 97(4), pages 905-926, August.
    16. Pragyan Deb & Davide Furceri & Jonathan D. Ostry & Nour Tawk, 2022. "The Economic Effects of COVID-19 Containment Measures," Open Economies Review, Springer, vol. 33(1), pages 1-32, February.
    17. Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
    18. Alwyn Young, 2012. "The African Growth Miracle," NBER Working Papers 18490, National Bureau of Economic Research, Inc.
    19. Stefan Dercon, 2002. "Income Risk, Coping Strategies, and Safety Nets," The World Bank Research Observer, World Bank, vol. 17(2), pages 141-166, September.
    20. Gabriel Chodorow-Reich & Johannes Wieland, 2020. "Secular Labor Reallocation and Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2245-2287.
    21. Jonathan Morduch, 1995. "Income Smoothing and Consumption Smoothing," Journal of Economic Perspectives, American Economic Association, vol. 9(3), pages 103-114, Summer.
    22. Annette Alstadsæter & Bernt Bratsberg & Gaute Eielsen & Wojciech Kopczuk & Simen Markussen & Oddbjorn Raaum & Knut Røed, 2020. "The First Weeks of the Coronavirus Crisis: Who Got Hit, When and Why? Evidence from Norway," NBER Working Papers 27131, National Bureau of Economic Research, Inc.
    23. Cochrane, John H, 1991. "A Simple Test of Consumption Insurance," Journal of Political Economy, University of Chicago Press, vol. 99(5), pages 957-976, October.
    24. Moser, Caroline O. N., 1998. "The asset vulnerability framework: Reassessing urban poverty reduction strategies," World Development, Elsevier, vol. 26(1), pages 1-19, January.
    25. Rosenzweig, Mark R & Binswanger, Hans P, 1993. "Wealth, Weather Risk and the Composition and Profitability of Agricultural Investments," Economic Journal, Royal Economic Society, vol. 103(416), pages 56-78, January.
    26. Pranab K. Bardhan, 1983. "Labor-tying in a Poor Agrarian Economy: A Theoretical and Empirical Analysis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(3), pages 501-514.
    27. Kenneth Lee & Harshil Sahai & Patrick Baylis & Michael Greenstone, 2020. "Job Loss and Behavioral Change: The Unprecedented Effects of the India Lockdown in Delhi," Working Papers 2020-65, Becker Friedman Institute for Research In Economics.
    28. Alwyn Young, 2012. "The African Growth Miracle," Journal of Political Economy, University of Chicago Press, vol. 120(4), pages 696-739.
    29. Beyer, Robert C.M. & Jain, Tarun & Sinha, Sonalika, 2023. "Lights out? COVID-19 containment policies and economic activity," Journal of Asian Economics, Elsevier, vol. 85(C).
    30. Dora L. Costa, 2001. "Estimating Real Income in the United States from 1888 to 1994: Correcting CPI Bias Using Engel Curves," Journal of Political Economy, University of Chicago Press, vol. 109(6), pages 1288-1310, December.
    31. Gueorgui Kambourov & Iourii Manovskii, 2008. "Rising Occupational And Industry Mobility In The United States: 1968-97," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(1), pages 41-79, February.
    32. Anjini Kochar, 1999. "Smoothing Consumption by Smoothing Income: Hours-of-Work Responses to Idiosyncratic Agricultural Shocks in Rural India," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 50-61, February.
    33. French, Eric & Taber, Christopher, 2011. "Identification of Models of the Labor Market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 6, pages 537-617, Elsevier.
    34. Angus Deaton, 2021. "COVID-19 and Global Income Inequality," NBER Working Papers 28392, National Bureau of Economic Research, Inc.
    35. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    36. Bruce W. Hamilton, 2001. "Using Engel's Law to Estimate CPI Bias," American Economic Review, American Economic Association, vol. 91(3), pages 619-630, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Husain, Zakir & Ghosh, Saswata & Dutta, Mousumi, 2022. "Changes in dietary practices of mother and child during the COVID-19 lockdown: Results from a household survey in Bihar, India," Food Policy, Elsevier, vol. 112(C).
    2. Arpit Gupta & Anup Malani & Bartosz Woda, 2021. "Inequality in India Declined During COVID," NBER Working Papers 29597, National Bureau of Economic Research, Inc.
    3. Rönkkö, Risto & Rutherford, Stuart & Sen, Kunal, 2022. "The impact of the COVID-19 pandemic on the poor: Insights from the Hrishipara diaries," World Development, Elsevier, vol. 149(C).
    4. Chatterjee, Oindrila & Gopalakrishnan, Balagopal & Mohapatra, Sanket, 2024. "Gold in household portfolios during a pandemic: Evidence from India," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1288-1306.
    5. Neda Yousefian & Elena Wenninger & Christoph Dittrich, 2022. "Shifts in Food Consumption Practices among Middle-Class Households in Bengaluru, India," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    6. Somanchi, Anmol, 2021. "Missing the Poor, Big Time: A Critical Assessment of the Consumer Pyramids Household Survey," SocArXiv qmce9, Center for Open Science.
    7. Oindrila Chatterjee & Balagopal Gopalakrishnan & Sanket Mohapatra, 2023. "Gold in household portfolios during a pandemic: Evidence from an emerging economy," IIMA Working Papers WP 2023-06-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    8. INOUE Hiroyasu & TODO Yasuyuki, 2022. "Has COVID-19 Permanently Changed Online Consumption Behavior?," Discussion papers 22018, Research Institute of Economy, Trade and Industry (RIETI).
    9. Shubhangi Agrawal & Sambit Bhattacharyya & Chirantan Chatterjee & Somdeep Chatterjee, 2024. "Income shock and Women’s Health Spending:Evidence from India," Working Paper Series 1324, Department of Economics, University of Sussex Business School.
    10. Archana Dang & Mausumi Das & Indrani Gupta, 2023. "COVID-19 And The Unequal Distribution Of Poverty Risks: Evidence From Urban India," IEG Working Papers 458, Institute of Economic Growth.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arpit Gupta & Anup Malani & Bartosz Woda, 2021. "Inequality in India Declined During COVID," NBER Working Papers 29597, National Bureau of Economic Research, Inc.
    2. Chetty, Raj & Looney, Adam, 2006. "Consumption smoothing and the welfare consequences of social insurance in developing economies," Journal of Public Economics, Elsevier, vol. 90(12), pages 2351-2356, December.
    3. De Magalhães, Leandro & Santaeulàlia-Llopis, Raül, 2018. "The consumption, income, and wealth of the poorest: An empirical analysis of economic inequality in rural and urban Sub-Saharan Africa for macroeconomists," Journal of Development Economics, Elsevier, vol. 134(C), pages 350-371.
    4. Gaurav, Sarthak, 2015. "Are Rainfed Agricultural Households Insured? Evidence from Five Villages in Vidarbha, India," World Development, Elsevier, vol. 66(C), pages 719-736.
    5. Masahiro Shoji & Keitaro Aoyagi & Ryuji Kasahara & Yasuyuki Sawada, 2020. "Motives behind community participation: Evidence from natural and artefactual field experiments in Sri Lanka," Pacific Economic Review, Wiley Blackwell, vol. 25(5), pages 577-600, December.
    6. Sekhri, Sheetal & Storeygard, Adam, 2014. "Dowry deaths: Response to weather variability in India," Journal of Development Economics, Elsevier, vol. 111(C), pages 212-223.
    7. Rose, Elaina, 2001. "Ex ante and ex post labor supply response to risk in a low-income area," Journal of Development Economics, Elsevier, vol. 64(2), pages 371-388, April.
    8. Mariapia MENDOLA, 2005. "Farm households production theories: a review of institutional and behavioural responses," Departmental Working Papers 2005-01, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    9. Morduch, Jonathan, 1999. "Between the State and the Market: Can Informal Insurance Patch the Safety Net?," The World Bank Research Observer, World Bank, vol. 14(2), pages 187-207, August.
    10. Shawn Cole & Xavier Giné & James Vickery, 2017. "How Does Risk Management Influence Production Decisions? Evidence from a Field Experiment," The Review of Financial Studies, Society for Financial Studies, vol. 30(6), pages 1935-1970.
    11. Yasuyuki Sawada, 2007. "The impact of natural and manmade disasters on household welfare," Agricultural Economics, International Association of Agricultural Economists, vol. 37(s1), pages 59-73, December.
    12. Stefan Dercon, 2002. "Income Risk, Coping Strategies, and Safety Nets," The World Bank Research Observer, World Bank, vol. 17(2), pages 141-166, September.
    13. Diego Comin & Danial Lashkari & Martí Mestieri, 2021. "Structural Change With Long‐Run Income and Price Effects," Econometrica, Econometric Society, vol. 89(1), pages 311-374, January.
    14. Carlos Carrillo‐Tudela & Ludo Visschers, 2023. "Unemployment and Endogenous Reallocation Over the Business Cycle," Econometrica, Econometric Society, vol. 91(3), pages 1119-1153, May.
    15. Ingvild Almas & Ashild Johnsen, 2018. "The cost of a growth miracle - reassessing price and poverty trends in China," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 30, pages 239-264, October.
    16. Demeke, Abera Birhanu & Zeller, Manfred, 2012. "Weather Risk and Household Participation in Off-farm Activities in Rural Ethiopia," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 51(1), pages 1-20, February.
    17. Andrew Dabalen & Isis Gaddis & Nga Thi Viet Nguyen, 2020. "CPI Bias and its Implications for Poverty Reduction in Africa," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 13-44, March.
    18. Somville, Vincent & Vandewalle, Lore, 2023. "Access to banking, savings and consumption smoothing in rural India," Journal of Public Economics, Elsevier, vol. 223(C).
    19. Giles, John, 2006. "Is life more risky in the open? Household risk-coping and the opening of China's labor markets," Journal of Development Economics, Elsevier, vol. 81(1), pages 25-60, October.
    20. Marcel Fafchamps & Aditya Shrinivas, 2022. "Risk Pooling and Precautionary Saving in Village Economies," NBER Working Papers 30128, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:28935. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.