ArticleRegional science and urban economics2022
Local inequalities of the COVID-19 crisis.
Article in Regional science and urban economics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
7 citing papers in PubMed.
- Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach.De Economist · 2023Article
- COVID-19 Pandemic and Health and Social Inequalities Worldwide: Impact and Response Measures in Greece.Advances in experimental medicine and biology · 2023Review
- A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden.The Annals of regional science · 2022Article
- The virus that devastated tourism: The impact of covid-19 on the housing market.Regional science and urban economics · 2022Article
- From the Triage to the Intermediate Area: A Simple and Fast Model for COVID-19 in the Emergency Department.International journal of environmental research and public health · 2022Article
- From the lockdown to the new normal: individual mobility and local labor market characteristics following the COVID-19 pandemic in Italy.Journal of population economics · 2022Article
- Aggressive measures, rising inequalities, and mass formation during the COVID-19 crisis: An overview and proposed way forward.Frontiers in public health · 2022Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper assesses the pandemic's impact on Italian local economies with the newly developed machine learning control method for counterfactual building. Our results document that the economic effects of the COVID-19 shock vary dramatically across the Italian territory and are spatially uncorrelated with the epidemiological pattern of the first wave. The largest employment losses occurred in areas characterized by high exposure to social aggregation risks and pre-existing labor market fragilities. Lastly, we show that the hotspots of the COVID-19 crisis do not overlap with those of the Great Recession. These findings call for a place-based policy response to address the uneven economic geography of the pandemic.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.