Measuring the Impacts of COVID-19 on Job Postings in Australia Using a Reweighting-Estimation-Transformation Approach

Kailing Shen and Bledi Taska ()
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Bledi Taska: Lightcast

No 13640, IZA Discussion Papers from IZA Network @ LISER

Abstract: We propose a reweighting-estimation-transformation (RWET) approach to estimate the impacts of COVID-19 on job postings in Australia. Contrary to the commonly used aggregation-based method on counting data, our approach can be used in a relatively 'thin' market, such as Australia. In a thin market, the number of job postings is relatively small, and the share of empty cells increases substantially when aggregating the data into finer categories. Using Australian job postings collected by Burning Glass Technologies and the RWET approach, our empirical evidence shows that the overall labour demand in Australia as of July 2020 is slowly recovering from its lowest 45 per cent dip at the beginning of May. Our results also suggest that the impacts of the pandemic are relatively evenly distributed across skill levels, but vary substantially across states, industries and occupations. Our findings of the dynamics on the demand side of the labour market suggest that skill-targeted policies might not be as effective as policies targeted at the state and industry levels to facilitate economic recovery.

Keywords: thin market; COVID-19; job posting (search for similar items in EconPapers)
JEL-codes: C55 J21 J63 (search for similar items in EconPapers)
Pages: 34 pages
Date: 2020-08
New Economics Papers: this item is included in nep-lma
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Citations: View citations in EconPapers (6)

Published - published in: Australian Journal of Labour Economics, 2020, 23 (2), 153-171

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Journal Article: Measuring the impacts of COVID-19 on job postings in Australia using a reweighting-estimation-transformation approach (2020)
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