Labor demand in the time of COVID-19: Evidence from vacancy postings and UI claims

Forsythe, Eliza; Kahn, Lisa B.; Lange, Fabian; Wiczer, David

doi:10.1016/j.jpubeco.2020.104238

Cited by 336 publications

(189 citation statements)

References 16 publications

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“…In April 2020, the U.S. economy lost 20 million jobs and, each week, millions of workers filed new unemployment insurance claims. As we showed in (Forsythe et al [2020]), the future looked * We thank Dan Restuccia, Matt Sigelman, and Bledi Taska for providing the Burning Glass Technologies data, as well as Anahid Bauer, Shiwani Chitroda, and Nathan Maves-Moore for excellent research assistance. This research was undertaken, in part, thanks to funding from the Canada Research Chairs program.…”

Section: Introductionmentioning

confidence: 95%

Searching, Recalls, and Tightness: An Interim Report on the COVID Labor Market

Forsythe¹,

Kahn

Lange

et al. 2020

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The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. This research was undertaken, in part, thanks to funding from the Canada Research Chairs Program. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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Section: Introductionmentioning

confidence: 95%

Searching, Recalls, and Tightness: An Interim Report on the COVID Labor Market

Forsythe¹,

Kahn

Lange

et al. 2020

Self Cite

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“…Researchers in the United States have examined how non-pharmaceutical interventions have impacted unemployment insurance, employment, or store client traffic. Some research suggests that lockdowns explain a small share of the total economic activity decline [22,[30][31][32]. Others [24,33,34] have found that lockdowns play a relevant role in explaining the drop in economic activity.…”

Section: Introductionmentioning

confidence: 99%

The effect of COVID-19 on the economy: evidence from an early adopter of localized lockdowns

Asahi

Undurraga

Valdés

et al. 2020

Preprint

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Background. Governments worldwide have implemented large-scale non-pharmaceutical interventions, such as social distancing or school closures, to prevent and control the growth of the COVID-19 pandemic. These strategies, implemented with varying stringency, have imposed substantial social and economic costs to society. As some countries begin to reopen and ease mobility restrictions, lockdowns in smaller geographic areas are increasingly being considered as an attractive policy intervention to mitigate societal costs while controlling epidemic growth. However, there is a lack of empirical evidence to support these decisions. Methods. Drawing from a rich dataset of localized lockdowns in Chile, we used econometric methods to measure the reduction in local economic activity from lockdowns when applied to smaller or larger geographical areas. We measured economic activity by tax collection at the municipality-level. Findings. Results show lockdowns were associated with a 10-15% drop in local economic activity, a two-fold reduction compared to municipalities not under lockdown. A three-to-four-month lockdown had a similar effect on economic activity than the year of the 2009 great recession. We found that costs are proportional to the population under lockdown, without differences when lockdowns were measured at the municipality or city-wide levels. Conclusions. Our findings suggest that localized lockdowns have a large effect on local economic activity, but these effects are proportional to the population under lockdown. Our results suggest that epidemiological criteria should guide decisions about the optimal size of lockdown areas; the proportional effects of lockdowns on the economy seem to be unchanged by scale.

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“…See e.g. Adams-Prassl et al (2020); Alstadsaeter et al (2020); Borjas and Cassidy (2020); Dingel and Neiman (2020); Fairlie et al (2020); Montenovo et al (2020); Yasenov (2020)7 However,Forsythe et al (2020) also show that the crisis had a strong short-term impact on job vacancies and UI claims in all industries and for most occupations in the US.…”

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confidence: 99%

A Poorly Understood Disease? The Unequal Distribution of Excess Mortality Due to COVID-19 Across French Municipalities

Brandily

Brébion²,

Briole

et al. 2020

SSRN Journal

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While COVID-19 was responsible for more than 600,000 deaths worldwide as of July 24, 2020, very little is known about the socioeconomic heterogeneity of its impact on mortality. In this paper, we combine several administrative data sources to estimate the relationship between mortality due to COVID-19 and poverty at a very local level (i.e. the municipality level) in France, one of the most severely hit countries in the world. We find strong evidence of an income gradient in the impact of the pandemic on mortality rates, which is twice as large in municipalities below the 25th percentile of the national income distribution than in municipalities above this threshold. We then show that both poor housing conditions and higher occupational exposure play a key role in this heterogeneity: taken together, these mechanisms account for up to 77% of the difference observed between rich and poor municipalities.

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Labor demand in the time of COVID-19: Evidence from vacancy postings and UI claims

Cited by 336 publications

References 16 publications

Searching, Recalls, and Tightness: An Interim Report on the COVID Labor Market

Searching, Recalls, and Tightness: An Interim Report on the COVID Labor Market

The effect of COVID-19 on the economy: evidence from an early adopter of localized lockdowns

A Poorly Understood Disease? The Unequal Distribution of Excess Mortality Due to COVID-19 Across French Municipalities

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