IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/960.html
   My bibliography  Save this paper

Mental Health Consequences of Working from Home during the Pandemic

Author

Listed:
  • Kim, Jun Hyung
  • Koh, Yu Kyung
  • Park, Jinseong

Abstract

This paper examines the effects of working from home on mental health, using unique real time survey data from South Korea collected during the COVID-19 pandemic. We find that working from home negatively affects the mental health of workers in the first half of 2020. Furthermore, we find substantial heterogeneity across gender and home environment. The negative impact of working from home is concentrated on women, and on those who are primarily responsible for housework while also maintaining market work. Surprisingly, workers who live with children in the household do not suffer from the negative effects of working from home. Our findings suggest that family-work interaction may be an important factor in the optimal design of working from home.

Suggested Citation

  • Kim, Jun Hyung & Koh, Yu Kyung & Park, Jinseong, 2021. "Mental Health Consequences of Working from Home during the Pandemic," GLO Discussion Paper Series 960, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:960
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/243297/1/GLO-DP-0960.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Barrero, Jose Maria & Bloom, Nick & Davis, Steven J., 2020. "Why Working From Home Will Stick," SocArXiv wfdbe, Center for Open Science.
    2. Sefa Awaworyi Churchill & Lisa Farrell & Russell Smyth, 2019. "Neighbourhood ethnic diversity and mental health in Australia," Health Economics, John Wiley & Sons, Ltd., vol. 28(9), pages 1075-1087, September.
    3. Oreffice, Sonia & Quintana-Domeque, Climent, 2021. "Gender inequality in COVID-19 times: evidence from UK prolific participants," Journal of Demographic Economics, Cambridge University Press, vol. 87(2), pages 261-287, June.
    4. David Argente & Chang-Tai Hsieh & Munseob Lee, 2022. "The Cost of Privacy: Welfare Effects of the Disclosure of COVID-19 Cases," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 176-186, March.
    5. Lidia Farré & Yarine Fawaz & Libertad González Luna & Jennifer Graves, 2020. "How the covid-19 lockdown affected gender Inequality in paid and unpaid work in Spain," Economics Working Papers 1728, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Nicholas Bloom & James Liang & John Roberts & Zhichun Jenny Ying, 2015. "Does Working from Home Work? Evidence from a Chinese Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(1), pages 165-218.
    7. Brodeur, Abel & Clark, Andrew E. & Fleche, Sarah & Powdthavee, Nattavudh, 2021. "COVID-19, lockdowns and well-being: Evidence from Google Trends," Journal of Public Economics, Elsevier, vol. 193(C).
    8. Watson, Barry & Osberg, Lars, 2019. "Can positive income anticipations reverse the mental health impacts of negative income anxieties?," Economics & Human Biology, Elsevier, vol. 35(C), pages 107-122.
    9. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    10. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    11. Yung-Ho Cho & Gyu-Chang Yu & Min-Kyu Joo & Chris Rowley, 2014. "Changing corporate culture over time in South Korea," Asia Pacific Business Review, Taylor & Francis Journals, vol. 20(1), pages 9-17, January.
    12. Alexandre Mas & Amanda Pallais, 2017. "Valuing Alternative Work Arrangements," American Economic Review, American Economic Association, vol. 107(12), pages 3722-3759, December.
    13. Gottlieb, Charles & Grobovšek, Jan & Poschke, Markus & Saltiel, Fernando, 2021. "Working from home in developing countries," European Economic Review, Elsevier, vol. 133(C).
    14. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2020. "Should We Cheer Together? Gender Differences in Instantaneous Well-Being during Joint and Solo Activities," IZA Discussion Papers 13306, Institute of Labor Economics (IZA).
    15. Vincenzo Galasso & Martial Foucault, 2020. "Working during COVID-19: Cross-country evidence from real-time survey data," OECD Social, Employment and Migration Working Papers 246, OECD Publishing.
    16. Etheridge, Ben & Spantig, Lisa, 2020. "The gender gap in mental well-being during the Covid-19 outbreak: evidence from the UK," ISER Working Paper Series 2020-08, Institute for Social and Economic Research.
    17. Hensvik, Lena & Le Barbanchon, Thomas & Rathelot, Roland, 2020. "Which jobs are done from home? Evidence from the American Time Use Survey?," The Warwick Economics Research Paper Series (TWERPS) 1261, University of Warwick, Department of Economics.
    18. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    19. Aum, Sangmin & Lee, Sang Yoon (Tim) & Shin, Yongseok, 2021. "COVID-19 doesn’t need lockdowns to destroy jobs: The effect of local outbreaks in Korea," Labour Economics, Elsevier, vol. 70(C).
    20. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    21. Kawaguchi, Daiji & Motegi, Hiroyuki, 2021. "Who can work from home? The roles of job tasks and HRM practices," Journal of the Japanese and International Economies, Elsevier, vol. 62(C).
    22. Etheridge, Ben & Wang, Yikai & Tang, Li, 2020. "Worker productivity during lockdown and working from home: evidence from self-reports," ISER Working Paper Series 2020-12, Institute for Social and Economic Research.
    23. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    24. Słoczyński, Tymon & Wooldridge, Jeffrey M., 2018. "A General Double Robustness Result For Estimating Average Treatment Effects," Econometric Theory, Cambridge University Press, vol. 34(1), pages 112-133, February.
    25. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    26. Louis-Philippe Beland & Abel Brodeur & Derek Mikola & Taylor Wright, 2020. "COVID-19, Occupation Tasks and Mental Health in Canada," Carleton Economic Papers 20-07, Carleton University, Department of Economics, revised 30 Jun 2020.
    27. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    28. repec:hal:spmain:info:hdl:2441/5cmk499mce8lvosvi0jdis0dla is not listed on IDEAS
    29. Luca Bonacini & Giovanni Gallo & Sergio Scicchitano, 2021. "Working from home and income inequality: risks of a ‘new normal’ with COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 303-360, January.
    30. Lawrence F. Katz & Alan B. Krueger, 2019. "The Rise and Nature of Alternative Work Arrangements in the United States, 1995–2015," ILR Review, Cornell University, ILR School, vol. 72(2), pages 382-416, March.
    31. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2020. "Should we cheer together? Gender differences in instantaneous well-being during joint and solo activities: An application to COVID-19 lockdowns," GLO Discussion Paper Series 736, Global Labor Organization (GLO).
    32. Erik Brynjolfsson & John J. Horton & Adam Ozimek & Daniel Rock & Garima Sharma & Hong-Yi TuYe, 2020. "COVID-19 and Remote Work: An Early Look at US Data," NBER Working Papers 27344, National Bureau of Economic Research, Inc.
    33. Cheng, Terence Chai & Kim, Seonghoon & Koh, Kanghyock, 2020. "The Impact of COVID-19 on Subjective Well-Being: Evidence from Singapore," IZA Discussion Papers 13702, Institute of Labor Economics (IZA).
    34. Garen, John, 2006. "Use of employees and alternative work arrangements in the United States: a law, economics, and organizations perspective," Labour Economics, Elsevier, vol. 13(1), pages 107-141, February.
    35. Gensowski, Miriam, 2018. "Personality, IQ, and lifetime earnings," Labour Economics, Elsevier, vol. 51(C), pages 170-183.
    36. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    37. Manuel Denzer & Philipp Grunau, 2021. "The Impacts of Working from Home on Individual Health and Well-being," Working Papers 2106, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    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. Rodrigo Montero & Natalia Bernal, 2024. "Gender and Well-Being Disparities Among People who Work from Home in Chile," Journal of Happiness Studies, Springer, vol. 25(6), pages 1-22, August.

    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. Gavoille, Nicolas & Hazans, Mihails, 2022. "Personality Traits, Remote Work and Productivity," IZA Discussion Papers 15486, Institute of Labor Economics (IZA).
    2. Deole, Sumit S. & Deter, Max & Huang, Yue, 2023. "Home sweet home: Working from home and employee performance during the COVID-19 pandemic in the UK," Labour Economics, Elsevier, vol. 80(C).
    3. A. Cetrulo & D. Guarascio & M. E. Virgillito, 2022. "Working from home and the explosion of enduring divides: income, employment and safety risks," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 345-402, July.
    4. Bamieh, Omar & Ziegler, Lennart, 2022. "Are remote work options the new standard? Evidence from vacancy postings during the COVID-19 crisis," Labour Economics, Elsevier, vol. 76(C).
    5. Kosteas, Vasilios D. & Renna, Francesco & Scicchitano, Sergio, 2022. "Covid-19 and Working from Home: toward a "new normal"?," GLO Discussion Paper Series 1013, Global Labor Organization (GLO).
    6. Blázquez, Maite & Herrarte, Ainhoa & Moro-Egido, Ana I., 2024. "Has the COVID-19 pandemic widened the gender gap in paid work hours in Spain?," Journal of Demographic Economics, Cambridge University Press, vol. 90(2), pages 313-348, June.
    7. Guillaume Gueguen & Claudia Senik, 2023. "Adopting telework: The causal impact of working from home on subjective well‐being," British Journal of Industrial Relations, London School of Economics, vol. 61(4), pages 832-868, December.
    8. Stefanie Stantcheva, 2022. "Inequalities in the times of a pandemic," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 37(109), pages 5-41.
    9. Erdsiek, Daniel & Rost, Vincent, 2022. "Working from home after COVID-19: Firms expect a persistent and intensive shift," ZEW Expert Briefs 22-06, ZEW - Leibniz Centre for European Economic Research.
    10. Morikawa, Masayuki, 2021. "Work-from-Home Productivity during the COVID-19 Pandemic: Evidence from Surveys of Employees and Employers," SSPJ Discussion Paper Series DP20-007, Service Sector Productivity in Japan: Determinants and Policies, Institute of Economic Research, Hitotsubashi University.
    11. Masayuki Morikawa, 2023. "Productivity dynamics of remote work during the COVID‐19 pandemic," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 62(3), pages 317-331, July.
    12. Christian Kagerl & Julia Starzetz, 2023. "Working from home for good? Lessons learned from the COVID-19 pandemic and what this means for the future of work," Journal of Business Economics, Springer, vol. 93(1), pages 229-265, January.
    13. Behrens, Kristian & Kichko, Sergei & Thisse, Jacques-Francois, 2024. "Working from home: Too much of a good thing?," Regional Science and Urban Economics, Elsevier, vol. 105(C).
    14. Alipour, Jean-Victor & Falck, Oliver & Schüller, Simone, 2023. "Germany’s capacity to work from home," European Economic Review, Elsevier, vol. 151(C).
    15. Claudia Hupkau & Barbara Petrongolo, 2020. "Work, Care and Gender during the COVID‐19 Crisis," Fiscal Studies, John Wiley & Sons, vol. 41(3), pages 623-651, September.
    16. Michael Gibbs & Friederike Mengel & Christoph Siemroth, 2023. "Work from Home and Productivity: Evidence from Personnel and Analytics Data on Information Technology Professionals," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 1(1), pages 7-41.
    17. Caselli, Mauro & Fracasso, Andrea, 2021. "Covid-19 and Technology," GLO Discussion Paper Series 1001, Global Labor Organization (GLO).
    18. Arntz, Melanie & Ben Yahmed, Sarra & Berlingieri, Francesco, 2022. "Working from home, hours worked and wages: Heterogeneity by gender and parenthood," Labour Economics, Elsevier, vol. 76(C).
    19. Gueguen, Guillaume & Senik, Claudia, 2022. "Adopting Telework. The causal impact of working from home on subjective well-being in 2020," CEPREMAP Working Papers (Docweb) 2201, CEPREMAP.
    20. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2022. "Work that can be done from home: evidence on variation within and across occupations and industries," Labour Economics, Elsevier, vol. 74(C).

    More about this item

    Keywords

    Working from home; home working; remote work; COVID-19; mental health; subjective well-being;
    All these keywords.

    JEL classification:

    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • L84 - Industrial Organization - - Industry Studies: Services - - - Personal, Professional, and Business Services
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management

    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:zbw:glodps:960. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/glabode.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.