TABLE 4.
(1) | (2) | (3) | ||
---|---|---|---|---|
Age: | ||||
30–39 | −0.0300 | −0.0423 | −0.0419 | |
(0.0412) | (0.0398) | (0.0397) | ||
40–49 | −0.1293** | −0.0614 | −0.0617 | |
(0.0506) | (0.0512) | (0.0512) | ||
50–59 | −0.1316** | −0.0031 | −0.0036 | |
(0.0609) | (0.0620) | (0.0621) | ||
60+ | −0.1845** | −0.0545 | −0.0555 | |
(0.0732) | (0.0798) | (0.0798) | ||
University degree | 0.0535 | −0.0024 | −0.0027 | |
(0.0347) | (0.0361) | (0.0361) | ||
Female | −0.1302*** | −0.0442 | −0.0446 | |
(0.0342) | (0.0349) | (0.0349) | ||
Income 2019 (£10,000s) | 0.0163** | 0.0163** | ||
(0.0068) | (0.0068) | |||
Temporary contract | −0.0008 | −0.0006 | ||
(0.0600) | (0.0600) | |||
Variable hours (worker) | 0.1807*** | 0.1797*** | ||
(0.0404) | (0.0406) | |||
Variable hours (firm) | 0.1142** | 0.1130** | ||
(0.0487) | (0.0490) | |||
Non‐salaried contract | 0.0983** | 0.0982** | ||
(0.0391) | (0.0392) | |||
Work from home | 0.1709*** | 0.1710*** | ||
(0.0621) | (0.0621) | |||
No paid sick leave | −0.1327*** | −0.1320*** | ||
(0.0438) | (0.0439) | |||
Initiated furlough | 0.0097 | |||
(0.0409) | ||||
Constant | 0.6823*** | 0.4319* | 0.4294* | |
(0.0732) | (0.2218) | (0.2220) | ||
Observations | 806 | 801 | 801 | |
|
0.0744 | 0.2690 | 0.2690 | |
Region F.E. | Yes | Yes | Yes | |
Occupation F.E. | No | Yes | Yes | |
Industry F.E. | No | Yes | Yes |
Note: OLS regressions. Standard errors in parentheses. *** ; ** ; * . The sample is restricted to currently furloughed respondents in the May survey wave. The dependent variable is a dummy variable that takes the value of 1 if the respondent would prefer to go back to work for 80 per cent of their salary instead of staying on furlough, and 0 otherwise.
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