# Table 1 Summary statistics and description of independent variables before and after coarsened exact matching

Variables Description of variables   Before matching   After matching
Obs. Employed Unemployed p-value Obs. Employed Unemployed p-value
N   10,622 10,337 285   7857 7574 283
Gender   10,622     7857
Malea    5472 (52.94) 134 (47.02) 0.048   3563 (47.35) 134 (47.35) 1.000
Female Female = 1, male = 0   4865 (47.06) 151 (52.98)    3961 (52.65) 149 (52.65)
Age (years)   10,622     7857
15–29a    2055 (19.27) 27 (9.47) < 0.001   718 (9.54) 27 (9.54) 1.000
30–44 30–44 = 1, other = 0   3974 (38.44) 102 (35.79)    2712 (36.04) 102 (36.04)
> 45 > 45 = 1, other = 0   4308 (41.68) 156 (54.74)    4094 (54.42) 154 (54.42)
Marital status   10,622     7857
Single a    1065 (10.30) 15 (5.26) < 0.001   399 (5.30) 15 (5.30) 1.000
Marriage Marriage = 1, other = 0   8984 (86.91) 247 (86.67)    6567 (87.28) 247 (87.28)
Widowed and divorced Widowed and divorced = 1, other = 0   288 (2.79) 23 (8.07)    558 (7.42) 21 (7.42)
Education status   10,622     7857
Elementary school and below a    2028 (19.62) 20 (7.02) < 0.001   532 (7.07) 20 (7.07) 1.000
Middle school Middle school = 1, other = 0   4600 (44.50) 116 (40.70)    3084 (40.99) 116 (40.99)
Senior high school Senior high school = 1, other = 0   2143 (20.73) 126 (44.21)    3323 (44.17) 125 (44.17)
College degree and above College degree and above = 1, other = 0   1566 (15.15) 23 (8.07)    585 (7.77) 22 (7.77)
Health insurance   10,622     7857
No a    227 (2.20) 11 (3.86) < 0.001   143 (1.89) 11 (3.89) < 0.001
Basic medical insurance Basic medical insurance = 1, other = 0   7382 (71.43) 158 (55.44)    5504 (72.67) 158 (55.83)
Commercial insurance and other insurance Commercial insurance and other insurance = 1, other = 0   2726 (26.38) 116 (40.70)    1927 (25.44) 114 (40.28)
Smoking status b   10,610     7848
No smoking a    6801 (65.86) 189 (66.78) 0.262   5030 (65.68) 187 (66.55) 0.286
Non-daily smoking Non-daily smoking = 1, other = 0   464 (4.49) 7 (2.47)    330 (4.28) 7 (2.49)
Daily smoking Daily smoking = 1, other = 0   3062 (29.65) 87 (30.74)    2207 (30.04) 87 (30.96)
Drinking alcohol b   10,444     7717
No a    7659 (75.35) 213 (76.34) 0.703   5718 (76.85) 211 (76.17) 0.792
Yes Yes = 1, No = 0   2506 (24.65) 66 (23.66)    1722 (23.15) 66 (23.83)
Economic status (Yuan) b   10,322     7857
Lowest group a    2047 (19.83) 74 (25.96) < 0.001   1954 (25.80) 73 (25.80) 0.998
Lower group Lower group = 1, other = 0   2064 (20.00) 58 (20.35)    1526 (20.14) 57 (20.14)
Medium group Medium group = 1, other = 0   2056 (19.92) 65 (22.81)    1740(22.97) 65 (22.97)
Higher group Higher group = 1, other = 0   2074 (20.09) 48 (16.84)    1284 (16.96) 48 (16.96)
Highest group Highest group = 1, other = 0   2081 (20.16) 40 (14.04)    1070 (14.13) 40 (14.13)
1. N (%) and chi-square test were performed for categorical variables and binary variables
2. aReference group in the Tobit regression
3. bThere were missing values. Before the matching, there were 12 missing values for smoking status, 178 missing values for drinking alcohol and 300 missing values for economic status. After the matching, there were 9 missing values for smoking status and 140 missing values for drinking alcohol