Modelling the Distributional Impact of the COVID‐19 Crisis
Cathal O'Donoghue,
Denisa Sologon,
Iryna Kyzyma and
John McHale
Fiscal Studies, 2020, vol. 41, issue 2, 321-336
Abstract:
The COVID‐19 emergency has had a dramatic impact on market incomes and income‐support policies. The lack of timely available data constrains the estimation of the scale and direction of recent changes in the income distribution, which in turn constrains policymakers seeking to monitor such developments. We overcome the lack of data by proposing a dynamic calibrated microsimulation approach to generate counterfactual income distributions as a function of more timely external data than are available in dated income surveys. We combine nowcasting methods using publicly available data and a household income generation model to perform the first calibrated simulation based upon actual data, aiming to assess the distributional implications of the COVID‐19 crisis in Ireland. Overall, we find that the crisis had an equalizing real‐time effect for both gross and disposable incomes, notwithstanding the significant hardship experienced by many households.
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (27)
Downloads: (external link)
https://doi.org/10.1111/1475-5890.12231
Related works:
Working Paper: Modelling the Distributional Impact of the COVID-19 Crisis (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:fistud:v:41:y:2020:i:2:p:321-336
Access Statistics for this article
More articles in Fiscal Studies from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().