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Labour market uncertainty after the irruption of COVID-19

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  • Oscar Claveria

    (AQR-IREA, University of Barcelona)

  • Petar Sorić

    (University of Zagreb)

Abstract

This paper examines the evolution of labour market uncertainty after the irruption of the COVID-19 pandemic in European countries. Since uncertainty is not directly observable, we use two alternative methods to directly approximate it. Both approaches are based on qualitative expectations elicited form the consumer survey conducted by the European Commission. On the one hand, following (Dibiasi and Iselin in Empir Econ 61:2113–2141, 2021), we use the share of consumers unable to formalise expectations about unemployment (Knightian-type uncertainty). On the other, we use the geometric discrepancy indicator proposed by (Claveria in Empirica 48:483–505, 2021) to quantify the proportion of disagreement in business and consumer expectations. We find that both uncertainty measures covary across the 22 European countries analysed. Although we observe differences in the evolution across countries, in most cases the perception of labour market uncertainty peaked before the outbreak of the crisis, plummeted during the first months of the lockdown, and started rising again. When testing for cointegration with the unemployment rate, we find that both indicators exhibit a long-term relationship with unemployment in most countries. The impact of both indicators on unemployment is characterised by considerable asymmetries, showing a more intense reaction to decreases in the level of labour market uncertainty. While this finding may seem counterintuitive at first sight, it somehow reflects the fact that during recessive periods, the level of disagreement in consumer unemployment expectations drops considerably.

Suggested Citation

  • Oscar Claveria & Petar Sorić, 2023. "Labour market uncertainty after the irruption of COVID-19," Empirical Economics, Springer, vol. 64(4), pages 1897-1945, April.
  • Handle: RePEc:spr:empeco:v:64:y:2023:i:4:d:10.1007_s00181-022-02304-7
    DOI: 10.1007/s00181-022-02304-7
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    More about this item

    Keywords

    COVID-19; Labour market uncertainty; Unemployment; Expectations; Consumers; Cointegration;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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