On Thursday 9 April, ESRI researcher Karina Doorley presented a webinar that discussed the findings of the report 'The potential costs and distributional effect of COVID-19 related unemployment in Ireland'.
It was the first webinar in the Budget Perspectives 2021 series.
You can view a full video of the webinar on our Youtube channel here: https://www.youtube.com/watch?v=-Vzq-GAiYEQ&feature=emb_title
To view the full report, visit our website here: https://www.esri.ie/publications/the-potential-costs-and-distributional-effect-of-covid-19-related-unemployment-in
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The potential costs and distributional effect of covid 19 related unemployment in ireland
1. @ESRIDublin #ESRIevents #ESRIpublications www.esri.ie
The potential costs and
distributional effect of COVID-19
related unemployment in Ireland
DATE
09th April 2020
AUTHOR
Keelan Beirne
Karina Doorley
Barra Roantree
Dora Tuda
Mark Regan
2. www.esri.ie2
Introduction
โข Covid-19 pandemic causing huge economic
disruption
โข Public health measures necessary to tackle the
spread of the virus have led to widespread job
losses
โข > 500,000 extra people unemployed
โข retail, accommodation and food service activities
particularly affected
3. www.esri.ie3
Government has introduced new income supports
โข Pandemic Unemployment Payment (PUP) - โฌ350 weekly
flat-rate payment
โข Illness benefit โ to โฌ350 and waiting period abolished
โข Fuel allowance season โ by four weeks
โข Temporary Wage Subsidy Scheme (TWSS)
โข up to 70% of net wage โ max. of โฌ410 weekly (for those
on < โฌ586) or โฌ350 (for those on โฌ586-โฌ960).
โข No subsidy for those on > โฌ960.
โข Employer can top-up wage to a maximum of average net
pay
โข DCYA top-up: Remaining 30% of wage bill of those in
childcare sector + 15% of total wage bill for overheads
4. www.esri.ie4
This research
โข Using EUROMOD linked to 2017 EU-SILC data,
estimate
โข the quarterly cost of the unemployment shock
(direct taxes and welfare)
โข the effect on family incomes
โข Define three unemployment scenarios (low,
medium, high)
โข Define four policy scenarios (increasing in
support)
5. www.esri.ie5
Scenarios
โข Unemployment scenarios
โข Low (โ400k), medium (600k); high(800k)
โข Job losses more concentrated in at-risk sectors
โข Policy scenarios
A. No policy response
B. PUP + fuel allowance extension
C. As B but half move to TWSS
D. As C with employer top-ups to TWSS
6. www.esri.ie6
Direct exchequer costs of โฌ4.5-4.9bn per quarter
Source: Own calculations using EUROMOD linked to 2017 EU-SILC data uprated to 2020 terms.
Notes: Calculations show the estimated quarterly cost of medium unemployment shock under four scenarios: A โ no policy response;
B โ introduction of PUP and extension of fuel allowance; C โ as B but half retained in employment through TWSS; D โ as C but
with additional payments by employers to maximum allowed under TWSS.
A B C D
Change in market income -6,411 -6,411 -5,247 -4,456
Change in personal tax revenue -1,342 -1,152 -1,298 -1,117
Change in ee SIC revenue -229 -229 -229 -229
Change in se SIC revenue -48 -48 -48 -48
Change in er SIC revenue -556 -556 -556 -552
Change in means-tested welfare expenditure 70 80 119 60
Change in non means-tested welfare expenditure 1,850 2,839 1,360 1,359
Cost of temporary wage subsidy 0 0 1,173 1,173
Net exchequer impact -4,095 -4,904 -4,784 -4,538
โฌ million per quarter
7. www.esri.ie7
Income losses reduced by up to a half due to
policy response
Family type
Proportion
of tax units A B C D
working age single without children 28% -15.1% -8.7% -10.2% -7.0%
working age lone parent 8% -4.9% -0.6% -3.0% -1.6%
working age couple without children 15% -14.4% -10.7% -11.4% -8.4%
working age couple with children 28% -15.9% -12.7% -13.1% -10.2%
single retirement age 12% -2.2% 0.0% -0.2% -0.1%
couple retirement age 9% -3.6% -0.9% -1.2% -0.9%
Average change in disposable income
Source: Own calculations using EUROMOD linked to 2017 EU-SILC data uprated to 2020 terms.
Notes: Working age is defined as 18-65. Children are aged under 18. Retirement age is 66+. Calculations show the average change in
disposable income for different types of tax-unit due to a `mediumโ unemployment shock under four scenarios: A โ no policy
response; B โ introduction of PUP and extension of fuel allowance; C โ as B but half retained in employment through TWSS;
D โ as C but with additional payments by employers to maximum allowed under TWSS.
8. www.esri.ie8
Highest income families to lose the most
Source: Own calculations using EUROMOD linked to 2017 EU-SILC data uprated to 2020 terms.
Notes: Calculations show the average change in disposable income by quintile of equivalised disposable income of a `mediumโ
unemployment shock for three months under four scenarios: A โ no policy response; B โ introduction of PUP and extension of fuel
allowance; C โ as B but half retained in employment through TWSS; D โ as C but with additional payments by employers to maximum
allowed under TWSS.
-20%
-15%
-10%
-5%
0%
5%
Lowest 2 3 4 Highest
%changeindisposableincome
Quintile
A B
C D
9. www.esri.ie9
Conclusion
โข Rise in unemployment to cost โฌ4.5-5bn per quarter
in medium unemployment scenario (โ โฌ800m per
quarter for every 100,000 unemployed)
โข A quarter of all families to lose income โ working
age and higher income families see largest losses
โข Policy response leads to smaller family income
losses, particularly for low income families
โข TWSS adds little to the cost of unemployment
supports (if substitute for PUP) but may create
adverse incentives for low income employees,
especially without employer top-ups
11. www.esri.ie11
Extreme losses partially offset by government
income supports
Source: Own calculations using EUROMOD linked to 2017 EU-SILC data uprated to 2020 terms.
Notes: Calculations show the estimated number of families that gain and lose from the simulated `mediumโ unemployment shock in four
scenarios: A โ no policy response; B โ introduction of PUP and extension of fuel allowance; C โ as B but half retained in employment
through TWSS; D โ as C but with additional payments by employers to maximum allowed under TWSS.
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
450,000
Worse off
60%+
Worse off 40-
60%
Worse off 20-
40%
Worse off 5-
20%
Worse off 0-
5%
Better off 0-
5%
Better off 5-
20%
Better off 20-
40%
Better off 40-
60%
Better off
60%+
No.offamilies
A B C D