*REPORT ALERT* This paper investigates the groups & economic sectors in Wales most significantly affected by the current pandemic. Workers in shutdown sectors account for ๐Ÿ๐Ÿ“.๐Ÿ”% ๐จ๐Ÿ ๐ฐ๐จ๐ซ๐ค๐ข๐ง๐ -๐š๐ ๐ž ๐ฉ๐จ๐ฉ๐ฎ๐ฅ๐š๐ญ๐ข๐จ๐ง, equating to around ๐Ÿฎ๐Ÿฎ๐Ÿด,๐Ÿฌ๐Ÿฌ๐Ÿฌ ๐—ฝ๐—ฒ๐—ผ๐—ฝ๐—น๐—ฒ 1/n
Social distancing & lock-down measures will negatively impact young employees the hardest, 36% of all employees under the age of 25 worked in shutdown sectors. Employees aged under 25 were ๐Ÿฎ.๐Ÿณ ๐˜๐—ถ๐—บ๐—ฒ๐˜€ as likely to work in a sector that is now shut down as other employees 2/n
The impact also varied by gender, with ๐Ÿญ๐Ÿด% ๐—ผ๐—ณ ๐—ณ๐—ฒ๐—บ๐—ฎ๐—น๐—ฒ employees working in shutdown sectors compared to ๐Ÿญ๐Ÿฐ% ๐—ผ๐—ณ ๐—บ๐—ฎ๐—น๐—ฒ employees. In general, females are more likely to work in a sector that is currently shut down than men 3/n
Half of the lowest-earning decile of Welsh workers worked in shut down sectors of the economy. This made them ๐˜๐—ฒ๐—ป ๐˜๐—ถ๐—บ๐—ฒ๐˜€ more likely to have been affected by the crisis compared with the highest-earning decile 4/n
Our results also show that workers of ๐—•๐—”๐— ๐—˜ groups were significantly more likely to be working in shutdown sectors, have significantly lower average weekly pay relative to workers of white British ethnicity & exhibit substantial salary gaps by gender within ethnic groups 5/n
This negative shock caused by freezing the economy will increase ๐—ฒ๐˜…๐—ถ๐˜€๐˜๐—ถ๐—ป๐—ด ๐—ถ๐—ป๐—ฒ๐—พ๐˜‚๐—ฎ๐—น๐—ถ๐˜๐—ถ๐—ฒ๐˜€ across the income distribution, between men & women, between old & young, and among BAME groups. Policies that aim to mitigate the crisis should consider these impacts 6/n
We estimate that around ๐Ÿฐ๐Ÿฐ๐Ÿฒ,๐Ÿฌ๐Ÿฌ๐Ÿฌ of employees in Wales were designated as ๐—ธ๐—ฒ๐˜† ๐˜„๐—ผ๐—ฟ๐—ธ๐—ฒ๐—ฟ๐˜€ by the UK government at the onset of the crisis. Wales has a higher share of key workers (๐Ÿฏ๐Ÿญ%) compared to the other nations and regions of the UK 7/n
๐—ž๐—ฒ๐˜† ๐˜„๐—ผ๐—ฟ๐—ธ๐—ฒ๐—ฟ๐˜€ are disproportionately likely to be female, with employed ๐˜„๐—ผ๐—บ๐—ฒ๐—ป ๐—บ๐—ผ๐—ฟ๐—ฒ ๐˜๐—ต๐—ฎ๐—ป ๐˜๐˜„๐—ถ๐—ฐ๐—ฒ as likely to be in this group as employed men. In Wales, ๐Ÿฒ๐Ÿณ.๐Ÿต% of key workers are women, while 45.5% of workers outside this key sector are females 8/n
๐—•๐—”๐— ๐—˜ groups are significantly more likely to be key workers, with a much higher share employed in the health & social care sectors. This greater exposure to the virus is particularly concerning as new evidence suggests BAME are facing greater health harms from covid-19 9/n
Data also indicates ๐—ธ๐—ฒ๐˜† ๐˜„๐—ผ๐—ฟ๐—ธ๐—ฒ๐—ฟ๐˜€ face significant ๐—ฐ๐—ต๐—ถ๐—น๐—ฑ๐—ฐ๐—ฎ๐—ฟ๐—ฒ ๐—ฐ๐—ต๐—ฎ๐—น๐—น๐—ฒ๐—ป๐—ด๐—ฒ๐˜€ โ€“ half have school-aged children, while they were also more likely to have younger children below the age of 4 than non-key workers 10/n
Moreover, ๐—บ๐—ฒ๐—ป were ๐—บ๐—ผ๐—ฟ๐—ฒ ๐—น๐—ถ๐—ธ๐—ฒ๐—น๐˜† to suffer ๐—ณ๐—ฟ๐—ผ๐—บ ๐—ต๐—ฒ๐—ฎ๐—น๐˜๐—ต ๐—ฝ๐—ฟ๐—ผ๐—ฏ๐—น๐—ฒ๐—บ๐˜€ associated with a higher risk of severe illness if infected by Covid-19. These workers at higher risk were also more likely to work in shutdown sectors 11/n
Although key workers were less likely to suffer from such illnesses than non-key workers, ๐Ÿญ๐Ÿฌ% of ๐—ธ๐—ฒ๐˜† ๐˜„๐—ผ๐—ฟ๐—ธ๐—ฒ๐—ฟ๐˜€ had pre-existing medical conditions. These workers may also have been at greater risk of exposure to the virus at their place of work during the pandemic 12/n
Data also suggests that individuals of Black Caribbean & Bangladeshi ethnicity are more likely to report health conditions which put them at greater health risk from the virus. Such conditions are likely to be correlated with socio-economic characteristics of these groups 13/n
Access to the full document here @WalesGovernance : http://bit.ly/2Z4wsWx 
STATA replication files can be found here https://tinyurl.com/ycekoum6 
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