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What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada

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  • Alejandra Bellatin
  • Gabriela Galassi

Abstract

We use data from online job postings listed on a job board to study how the de- mand for jobs linked to new technologies during the COVID-19 crisis responded to pandemic mitigation policies. We classify job postings into a standard occupation classification, using text analytics, and we group occupations according to their involvement in the production and use of digital technologies. We leverage the variation in the stringency of containment policies over time and across provinces. We find that when policies become more stringent, job postings in occupations that are related to digital infrastructure that allow for remote work fare relatively better than postings in more traditional occupations. Job postings for positions in occupations with low risk of automation recover faster during reopenings than postings for more traditional occupations. Occupations typically populated by disadvantaged groups (e.g., women and low-wage workers) post relatively few job postings if they are not linked to new technologies. We also find that cities with scarce pre-pandemic job postings related to digital technologies post fewer job ads overall when policies become more stringent.

Suggested Citation

  • Alejandra Bellatin & Gabriela Galassi, 2022. "What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada," Staff Working Papers 22-17, Bank of Canada.
    • Handle: RePEc:bca:bocawp:22-17
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    Cited by:

    1. Guyllaume Faucher & Stephanie Houle, 2023. "Digitalization: Definition and Measurement," Discussion Papers 2023-20, Bank of Canada.
    2. Oikonomou, Myrto & Pierri, Nicola & Timmer, Yannick, 2023. "IT shields: Technology adoption and economic resilience during the COVID-19 pandemic," Labour Economics, Elsevier, vol. 81(C).
    3. Alex Chernoff & Gabriela Galassi, 2023. "Digitalization: Labour Markets," Discussion Papers 2023-16, Bank of Canada.

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    More about this item

    Keywords

    Coronavirus disease (COVID-19); Econometric and statistical methods; Labour markets;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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