IDEAS home Printed from https://ideas.repec.org/p/pui/dpaper/190.html
   My bibliography  Save this paper

Who Suffers the Most During the COVID-19 Pandemic? Evidence from Thailand

Author

Listed:
  • Sasiwimon Warunsiri Paweenawat
  • Lusi Liao

Abstract

This study investigates Thailand's recent labor market disruption induced by the COVID-19 pandemic. We found that the impact varied across demographic groups. Workers that are the most adversely affected by the COVID-19 pandemic are (1) in high-risk sectors, (2) less-educated, (3) youth worker, and (4) parents. Our empirical results show that the unemployment rate is positively related to sectorial risk levels and marital status: married and public sector employees are less likely to be unemployed. Further, less occupational flexibility decreases wages, and this effect is stronger for women. Parenthood negatively affects wages, and its effect is larger for women.

Suggested Citation

  • Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2022. "Who Suffers the Most During the COVID-19 Pandemic? Evidence from Thailand," PIER Discussion Papers 190, Puey Ungphakorn Institute for Economic Research.
  • Handle: RePEc:pui:dpaper:190
    as

    Download full text from publisher

    File URL: https://www.pier.or.th/files/dp/pier_dp_190.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sang Yoon (Tim) Lee & Minsung Park & Yongseok Shin, 2021. "Hit Harder, Recover Slower? Unequal Employment Effects of the COVID-19 Shock," Review, Federal Reserve Bank of St. Louis, vol. 103(4), pages 367-383, October.
    2. Adams-Prassl, A. & Boneva, T. & Golin, M. & Rauh, C., 2020. "Work Tasks That Can Be Done From Home: Evidence on Variation Within and Across Occupations and Industries," Cambridge Working Papers in Economics 2040, Faculty of Economics, University of Cambridge.
    3. Couch, Kenneth A. & Fairlie, Robert W. & Xu, Huanan, 2020. "The Impacts of COVID-19 on Minority Unemployment: First Evidence from April 2020 CPS Microdata," IZA Discussion Papers 13264, Institute of Labor Economics (IZA).
    4. Matias D. Cattaneo & David M. Drukker & Ashley D. Holland, 2013. "Estimation of multivalued treatment effects under conditional independence," Stata Journal, StataCorp LP, vol. 13(3), pages 407-450, September.
    5. Paweenawat, Sasiwimon Warunsiri & Liao, Lusi, 2022. "Parenthood penalty and gender wage gap: Recent evidence from Thailand," Journal of Asian Economics, Elsevier, vol. 78(C).
    6. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
    7. Mangiavacchi, Lucia & Piccoli, Luca & Pieroni, Luca, 2021. "Fathers matter: Intrahousehold responsibilities and children's wellbeing during the COVID-19 lockdown in Italy," Economics & Human Biology, Elsevier, vol. 42(C).
    8. Sumedha Gupta & Thuy D. Nguyen & Felipe Lozano Rojas & Shyam Raman & Byungkyu Lee & Ana Bento & Kosali I. Simon & Coady Wing, 2020. "Tracking Public and Private Responses to the COVID-19 Epidemic: Evidence from State and Local Government Actions," NBER Working Papers 27027, National Bureau of Economic Research, Inc.
    9. Matias D. Cattaneo, 2010. "multi-valued treatment effects," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    10. Adams-Prassl, Abigail & Boneva, Teodora & Rauh, Christopher & Golin, Marta, 2020. "Work Tasks That Can Be Done From Home: Evidence on Variation Within & Across Occupations and Industries," CEPR Discussion Papers 14901, C.E.P.R. Discussion Papers.
    11. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    12. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
    13. Nakavachara, Voraprapa, 2010. "Superior female education: Explaining the gender earnings gap trend in Thailand," Journal of Asian Economics, Elsevier, vol. 21(2), pages 198-218, April.
    14. Warn N. Lekfuangfu & Suphanit Piyapromdee & Ponpoje Porapakkarm & Nada Wasi, 2020. "On Covid-19: New Implications of Job Task Requirements and Spouse's Occupational Sorting," RF Berlin - CReAM Discussion Paper Series 2012, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    15. 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).
    16. Enrica Croda & Shoshana Grossbard, 2021. "Women pay the price of COVID-19 more than men," Review of Economics of the Household, Springer, vol. 19(1), pages 1-9, March.
    Full references (including those not matched with items on IDEAS)

    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. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2021. "A ‘She-session’? The Impact of COVID-19 on the Labour Market in Thailand," Working Papers DP-2021-11, Economic Research Institute for ASEAN and East Asia (ERIA).
    2. Takeshima, Hiroyuki & Adeoti, Adetola I. & Popoola, Oluwafemi Adebola, 2016. "The impact on farm household welfare of large irrigation dams and their distribution across hydrological basins: Insights from northern Nigeria:," NSSP working papers 35, International Food Policy Research Institute (IFPRI).
    3. Joachim Binam & Frank Place & Antoine Kalinganire & Sigue Hamade & Moussa Boureima & Abasse Tougiani & Joseph Dakouo & Bayo Mounkoro & Sanogo Diaminatou & Marcel Badji & Mouhamadou Diop & Andre Babou , 2015. "Effects of farmer managed natural regeneration on livelihoods in semi-arid West Africa," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(4), pages 543-575, October.
    4. Aditya Goenka & Lin Liu & Manh-Hung Nguyen, 2021. "Modeling optimal quarantines with waning immunity," Discussion Papers 21-10, Department of Economics, University of Birmingham.
    5. Max H. Farrell, 2013. "Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations," Papers 1309.4686, arXiv.org, revised Feb 2018.
    6. Long, Wenjin & Pang, Xiaopeng & Dong, Xiao-yuan & Zeng, Junxia, 2020. "Is rented accommodation a good choice for primary school students' academic performance? – Evidence from rural China," China Economic Review, Elsevier, vol. 62(C).
    7. Farrell, Max H., 2015. "Robust inference on average treatment effects with possibly more covariates than observations," Journal of Econometrics, Elsevier, vol. 189(1), pages 1-23.
    8. Mueller-Langer, Frank & Gómez-Herrera, Estrella, 2022. "Mobility restrictions and the substitution between on-site and remote work: Empirical evidence from a European online labour market," Information Economics and Policy, Elsevier, vol. 58(C).
    9. Daniela Del Boca & Noemi Oggero & Paola Profeta & Mariacristina Rossi, 2020. "Women’s and men’s work, housework and childcare, before and during COVID-19," Review of Economics of the Household, Springer, vol. 18(4), pages 1001-1017, December.
    10. Aditya Goenka & Lin Liu & Manh-Hung Nguyen, 2020. "Modeling optimal quarantines under infectious disease related mortality," Working Papers 202025, University of Liverpool, Department of Economics.
    11. Garbero, A. & Songsermsawas, T., 2018. "IFAD RESEARCH SERIES 31 - Impact of modern irrigation on household production and welfare outcomes: evidence from the participatory small-scale irrigation development programme (PASIDP) project in Eth," IFAD Research Series 280080, International Fund for Agricultural Development (IFAD).
    12. Essilfie, Felix Larry, 2018. "Varietal seed technology and household income of maize farmers: An application of the doubly robust model," Technology in Society, Elsevier, vol. 55(C), pages 85-91.
    13. Ferraro, Simona & Männasoo, Kadri & Tasane, Helery, 2023. "How the EU Cohesion Policy targeted at R&D and innovation impacts the productivity, employment and exports of SMEs in Estonia," Evaluation and Program Planning, Elsevier, vol. 97(C).
    14. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    15. Gottlieb Charles & Grobovšek Jan & Poschke Markus & Saltiel Fernando, 2022. "Lockdown Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 197-210, January.
    16. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    17. Hong, Yan-Zhen & Chang, Hung-Hao & Dai, Yong-Wu, 2018. "Is deregulation of forest land use rights transactions associated with economic well-being and labor allocation of farm households? Empirical evidence in China," Land Use Policy, Elsevier, vol. 75(C), pages 694-701.
    18. Svaleryd, Helena & Vlachos, Jonas, 2022. "COVID-19 and School Closures," GLO Discussion Paper Series 1008, Global Labor Organization (GLO).
    19. Kere, Eric Nazindigouba & Choumert, Johanna & Combes Motel, Pascale & Combes, Jean Louis & Santoni, Olivier & Schwartz, Sonia, 2017. "Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia," Ecological Economics, Elsevier, vol. 136(C), pages 148-158.

    More about this item

    Keywords

    COVID-19; Labor market; Demographics; Thailand;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure

    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:pui:dpaper:190. 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/pierbth.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.