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Table 1. Summary statistics<br />
Male<br />
Female<br />
Sample Mean Std.dev. Min Max Mean Std.dev. Min Max<br />
Depression/Anxiety 1.12 1.05 0 1 1.53 1.22 0 1<br />
Unemployment rate (regional) 6.35 1.94 2.9 12.7 5.08 1.27 2.2 9.5<br />
Unemployment rate (in sample) 4.96 2.17 0 1 3.73 1.89 0 1<br />
Age 39.3 8.43 25 54 39.2 8.29 25 54<br />
Married 64.6 4.78 0 1 70.9 4.54 0 1<br />
Single 35.3 4.78 0 1 29.1 4.54 0 1<br />
Degree 25.7 4.36 0 1 22.6 4.18 0 1<br />
Higher 10.2 3.03 0 1 12.6 3.32 0 1<br />
Alevel 27.9 4.48 0 1 16.7 3.73 0 1<br />
Olevel 17.1 3.76 0 1 27.4 4.46 0 1<br />
Other quali…cation 11.9 3.24 0 1 11.9 3.23 0 1<br />
No quali…cation 6.91 2.53 0 1 8.45 2.78 0 1<br />
Having a child 41.4 4.92 0 1 48.8 4.99 0 1<br />
N 550,661 632,129<br />
The mean probability of depression is greater for women then for men, which is in<br />
line with medical evidence. The mean unemployment rate is higher for men than for<br />
women, there is a slight di¤erence between unemployment rates in the sample and from<br />
NOMIS, since the later are seasonally adjusted, and are calculated for the economically<br />
active population aged 16 and over. The mean age is around 39 years, married individuals<br />
constitute 64:6% and 71% of men and women sample respectively. There are more men<br />
than women with a degree or A-level, while more women have completed higher education,<br />
O-level or no quali…cation. More women than men have at least one child, as very few<br />
single men report having children.<br />
4 Results<br />
The results are summarized in Tables 2:1: and 2:2. 16 The reported coe¢ cients are marginal<br />
e¤ects for probit models where the dependent variable is an indicator whether the<br />
respondent has depression, anxiety, bad nerves or not. For both "All Unemployed" and<br />
"Unemployed due to Redundancy" speci…cations indicator variables for region, year, and<br />
quarter are included, and heteroskedasticity-robust standard errors, clustered by region,<br />
year and quarter, are reported in parentheses. The main …ndings suggest that the worsening<br />
of economic conditions has a signi…cant detrimental e¤ect on the mental health of<br />
the employed: an increase in regional unemployment rate is associated with an increase<br />
in the probability to report mental problems. It is consistent with previous …ndings by<br />
Ruhm (2003), Te¤ (2011a, 2011b). More precisely, when the regional unemployment rate<br />
increase by 1 percentage point, the probability of su¤ering depression increases for the<br />
employed men by 0:031 and for the employed women by 0:057 percentage points. This is<br />
in line with medical reports which suggest that depression and anxiety are more common<br />
in women than men. 17<br />
16 The column "All Unemployed" refers to the case when all the unemployed are included in the regression,<br />
while the column "Unemployed due to Redundancy" presents the results from the regressions with<br />
unemloyed due to redundancies only. We present here the marginal e¤ects. The estimated coe¢ cients<br />
from probit models are given in the Appendix.<br />
17 These disparities may be due to women, when asked, being more likely to report symptoms of<br />
depression (National Statistics, 2003), while depression in men may have been under diagnosed because<br />
8<br />
10