id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-270885-wkczsrgu	O'Donoghue, Cathal	Modelling the Distributional impact of the Covid‐19 Crisis(1)	2020-06-17		.txt	text/plain	4369	190	48	We combine nowcasting methods using up-todate data from Live Registers, official reports on the labour market and policy impacts of COVID-19 with the Labour Force Survey (LFS) and a household income generation model to predict the distributional impact and the fiscal costs of the COVID-19. We overcome this challenge by proposing a more nuanced approach based on a 'nowcasting' methodology (O'Donoghue and Loughrey, 2014) which combines the latest available European Union Survey on Income and Living Conditions (EU-SILC) data with recent data on employment and prices to calibrate a microsimulation model of household incomes, taxes and benefits to produce a real time picture of the population and to identify who is affected differentially (Atkinson et al, 2002) . However, given the nature of the shock, and the multi-faceted impact on household living standards, it is necessary to utilise an augmented version of disposable income, which takes into account also work-related expenditures (childcare, commuting), housing costs and capital losses.	./cache/cord-270885-wkczsrgu.txt	./txt/cord-270885-wkczsrgu.txt