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Support #1422

furlough in Covid-19 Study

Added by Darja Reuschke 4 months ago. Updated 3 months ago.

Status:
Feedback
Priority:
Normal
Category:
-
Start date:
10/11/2020
% Done:

80%


Description

Hello Support team,

I am grateful if you could help me identifying respondents who are on furlough in each wave in the COVID-19 study. In the cb/cc_furlough variable, are those who were on furlough in the previous wave and are still on furlough coded 'inapplicable'? Do I have to use instead ff_furlough for the May and June waves to identify those on furlough in the respective month?

Many thanks in advance.

Best wishes,

Darja

#1

Updated by Alita Nandi 4 months ago

  • Status changed from New to Feedback
  • Assignee set to Darja Reuschke
  • % Done changed from 0 to 80
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Hello Darja,

Take look at the Universe for the question FURLOUGH in the questionnnaires for Waves 2 & 3. The Universe shows who is asked the question. Those who don't qualify will be coded as inapplicable (-8). In the Wave 2 & 3 questionniares, you will see that the Universe for Furlough is: "IF sempderived = 1,3 AND ff_furlough is not 1 // Ask if currently in paid work and has not previously been furloughed."

Hope this helps.

Best wishes,
Understanding Society User Support

#2

Updated by Darja Reuschke 4 months ago

Thanks so much. However, are those who were on furlough in April or May ask whether they are still on furlough? I cannot see how to retrieve this information unless using hrschange. Is this correct? Otherwise, I would assume that once on furlough they remain furlough. Many thanks again.

#3

Updated by Alita Nandi 4 months ago

Yes, use the hrschange* variables.

#4

Updated by Darja Reuschke 4 months ago

Thanks so much again for your prompt responses. I checked the coding for those who were furloughed on hrschange* in the subsequent wave and most are coded -8 so I presume they are still on furlough. However, over 100 have 'mentions' in hrschange. This tells me that some were made redundant, however, the hrschange* variables do not include, as far as I can see, whether people returned to work. But this might not have happened in June and is therefore not captured in hrschange*? Or could this be included under 'other'?

#5

Updated by Alita Nandi 3 months ago

If someone returned to work you will be able to identify them by using the employment status variable, cW_sempchk. This is asked of anyone who was interviewed previously (cW_ff_prevsurv = 1) and previous wave employment status is not missing (cW_ff_semp = 1,2,3,4).

#6

Updated by Darja Reuschke 3 months ago

Many thanks. However, those on furlough remained in employment. Sorry, I did not explain this well enough. Those who were on furlough remained officially employed and they should have been coded as sempderived==1 (or 3). People are asked once whether they are on furlough and I try to figure out how I can identify those who switched from furlough to work again which will apply for some already in May and more in June. Because of furlough fraud which is reflected in the data, I cannot identify them through using hours. Many thanks in advance for looking into this issue.

#7

Updated by Alita Nandi 3 months ago

Ok, I see. I will pass your question onto the covid19 team in case they are aware of any questions that may help identify individuals switching from Furlough to work directly, that is, not through hours worked variables.

#8

Updated by Alita Nandi 3 months ago

The Covid19 team has responded: In the September data there is a new question asked of all respondents who have in one of the previous waves reported being furloughed. The name of the variable/question is STILLFURL.

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