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The Short-Term Impact of COVID-19 on Labour Market Outcomes: Comparative Systematic Evidence

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COVID-19 and International Development

Abstract

This chapter uses advanced meta-analysis techniques to evaluate the short-run impact of COVID-19 on various labour market indicators. Using 2429 reported estimates of labour market outcomes associated with COVID-19 from 29 empirical studies conducted in 12 countries, we show that large parts of the documented literature exhibit substantial publication bias. After controlling for publication bias, we find almost no practically meaningful impact of COVID-19 on earnings, hours worked and (un)employment. Next, we investigate if the identified publication bias is caused by publication characteristics. However, these characteristics do not appear to drive the identified bias. We also uncover the differences between developed and developing countries. The findings indicate that in practical terms both groups of countries experienced hardly any measurable short-term impacts of COVID-19 on the labour market. Furthermore, we detect systematic upward publication bias for unemployment and job loss in developed countries, and downward bias for employment, hours worked and earnings in developing countries. Overall, we concluded that in the short-run no major labour market effects could be identified related to formal employment.

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Notes

  1. 1.

    We employed a similar procedure as specified by Demena (2017) and Floridi et al. (2020).

  2. 2.

    These are Australia, Bangladesh, Canada, Colombia, Greece, India, Mexico, the Netherlands, Singapore, Spain, the United Stata of America, and Vietnam.

  3. 3.

    The guideline suggests that a MRA coefficient is small if it is at most 0.07 in absolute terms, it is of medium size if it ranges around 0.17 in absolute terms, and large if it is at least 0.33 in absolute terms.

  4. 4.

    Publication bias is ‘little to modest’ if FAT is smaller than 1, it is ‘substantial’ if it ranges between 1 and 2, and ‘severe’ if it is at least 2 (Doucouliagos & Stanley, 2013).

References

  • Alon, T. M., Kim, M., Lagakos, D., & VanVuren, M. (2020). How should policy responses to the covid-19 pandemic differ in the developing world?, National Bureau of Economic Research (No. w27273).

    Google Scholar 

  • Bajzik, J., Havranek, T., Irsova, Z., & Schwarz, J. (2020). Estimating the Armington elasticity: The importance of study design and publication bias. Journal of International Economics, 127, 103383.

    Article  Google Scholar 

  • Béland, L. P., Brodeur, A., & Wright, T. (2020a). The short-term economic consequences of Covid-19: Exposure to disease, remote work and government response. IZA Discussion Papers, No. 13151.

    Google Scholar 

  • Béland, L. P., Brodeur, A., & Wright, T. (2020b). COVID-19, stay-at-home orders and employment: Evidence from CPS data. IZA Discussion Papers, No. 13282.

    Google Scholar 

  • Crossley, T. F., Fisher, P., & Low, H. (2020). The heterogeneous and regressive consequences of COVID-19: Evidence from high quality panel data. Journal of Public Economics, 193, 104334.

    Article  Google Scholar 

  • Demena, B. A. (2014). New wine in old bottles: A meta-analysis of FDI and productivity spillovers in developing countries. Conference Proceeding on Economic, Social and Political Developments and Challenges in IGAD region (pp. 5–27). The Horn Economic and Social Policy Institute. https://www.hespi.org/2015/01/25/igadec-conference-proceeding-2015/.

  • Demena, B. A. (2015). Publication bias in FDI spillovers in developing countries: A meta-regression analysis. Applied Economics Letters, 22(14), 1170–1174.

    Article  Google Scholar 

  • Demena, B. A. (2017). Essays on intra-industry spillovers from FDI in developing countries: A firm-level analysis with a focus on Sub-Saharan Africa, PhD diss., Erasmus University, The Hague.

    Google Scholar 

  • Demena, B. A., & Afesorgbor, S. K. (2020). The effect of FDI on environmental emissions: Evidence from a meta-analysis. Energy Policy, 138, 111192.

    Article  Google Scholar 

  • Demena, B. A., & van Bergeijk, P. A. G. (2017). A meta-analysis of FDI and productivity spillovers in developing countries. Journal of Economic Surveys, 31(2), 546–571.

    Article  Google Scholar 

  • Demena, B. A., Artavia-Mora, L., Ouedraogo, D., Thiombiano, B. A., & Wagner, N. (2020). A systematic review of mobile phone interventions (SMS/IVR/calls) to improve adherence and retention to antiretroviral treatment in low-and middle-income countries. AIDS Patient Care and STDs, 34(2), 59–71.

    Article  Google Scholar 

  • Demena, B. A., Reta, A., Jativa, G. B., Kimararungu, P., & van Bergeijk, P. A. (2021). Publication bias of economic sanction research: A Meta-analysis of the impact of trade-linkage, duration and prior relations on sanction success, Edward Elgar (forthcoming).

    Google Scholar 

  • Doucouliagos, H. (2011). How large is large? Preliminary and relative guidelines for interpreting partial correlations in economics (No. 2011_5). Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.

    Google Scholar 

  • Doucouliagos, C., & Stanley, T. D. (2013). Are all economic facts greatly exaggerated? Theory competition and selectivity. Journal of Economic Surveys, 27(2), 316–339.

    Article  Google Scholar 

  • Fana, M., Pérez, S. T., & Fernández-Macías, E. (2020). Employment impact of Covid-19 crisis: From short term effects to long terms prospects. Journal of Industrial and Business Economics, 47(3), 391–410.

    Article  Google Scholar 

  • Floridi, A., Demena, B. A., & Wagner, N. (2020). Shedding light on the shadows of informality: A meta-analysis of formalization interventions targeted at informal firms. Labour Economics, 67, 101925.

    Article  Google Scholar 

  • Floridi, A., Demena, B. A., & Wagner, N. (2021). The bright side of formalization policies! Meta-analysis of the benefits of policy-induced versus self-induced formalization. Applied Economics Letters. https://doi.org/10.1080/13504851.2020.1870919.

  • Hadi, A. S. (1994). A modification of a method for the detection of outliers in multivariate samples. Journal of the Royal Statistical Society: Series B (Methodological), 56(2), 393–396.

    Google Scholar 

  • Havránek, T., Stanley, T. D., Doucouliagos, H., Bom, P., Geyer‐Klingeberg, J., Iwasaki, I., Reed, W. R., Rost, K., & Van Aert, R. C. M. (2020). Reporting guidelines for meta‐analysis in economics. Journal of Economic Surveys, 34(3), 469–475.

    Google Scholar 

  • Jordà, Ò., Singh, S. R., & Taylor, A. M. (2020). Longer-run economic consequences of pandemics, National Bureau Economic Research (No. w26934).

    Google Scholar 

  • Khambule, I. (2020). The effects of COVID-19 on the south African informal economy: Limits and pitfalls of government’s response. Loyola Journal of Social Sciences, 34(1), 95–109.

    Google Scholar 

  • Kim, S., Koh, K., & Zhang, X. (2020). Short-term impacts of COVID-19 on consumption and labor market outcomes: Evidence from Singapore. IZA Discussion Papers, No. 13354.

    Google Scholar 

  • Kohlscheen, E., Mojon, B., & Rees, D. (2020). The macroeconomic spillover effects of the pandemic on the global economy. Bank for International Settlements (No. 4).

    Book  Google Scholar 

  • Murshed, S. M. (2021). Consequences of the Covid-19 pandemic for economic inequality. In E. Papyrakis (Ed.), Covid-19 and international development. Springer.

    Google Scholar 

  • Petticrew, M., & Roberts, H. (2008). Systematic reviews in the social sciences: A practical guide. John Wiley and Sons.

    Google Scholar 

  • Romanello, M. (2021). Covid-19 and the informal sector. In E. Papyrakis (Ed.), Covid-19 and international development. Springer.

    Google Scholar 

  • Stanley, T. D., & Doucouliagos, C. (2012). Meta-regression analysis in economics and business. Routledge.

    Book  Google Scholar 

  • van Bergeijk, P. A. G., Demena, B. A., Reta, A., Jativa, G. B., & Kimararungu, P. (2019). Could the literature on the economic determinants of sanctions be biased? Peace economics. Peace Science and Public Policy, 25(4), 636–650.

    Google Scholar 

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Correspondence to Binyam Afewerk Demena .

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Demena, B.A., Floridi, A., Wagner, N. (2022). The Short-Term Impact of COVID-19 on Labour Market Outcomes: Comparative Systematic Evidence. In: Papyrakis, E. (eds) COVID-19 and International Development. Springer, Cham. https://doi.org/10.1007/978-3-030-82339-9_6

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