Modelling the Distributional Impact of the COVID‐19 Crisis. (6th July 2020)

• Record Type: Journal Article
• Authors: O'Donoghue, Cathal; Sologon, Denisa M.; Kyzyma, Iryna; McHale, John
• Is Part Of: Fiscal studies. Volume 41:Number 2(2020)
• Page Start: 321
• Page End: 336
• Publication Date: 2020-07-06
• Subjects: COVID‐19 -- distributional impact -- fiscal policy -- income distribution -- income generation model -- inequality -- microsimulation -- nowcasting; Finance, Public -- Periodicals; Fiscal policy -- Periodicals; Economic policy -- Periodicals; Finance, Public -- Great Britain -- Periodicals; 336.3
• DOI: 10.1111/1475-5890.12231
• Languages: English
• ISSNs: 0143-5671

Abstract

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.