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% distributions of independent variables 2019-2022 plus Chi Sq and Cramers v effect sizes: Self-employed and wage and salaried women
| 2019 | 2020 | 2021 | 2022 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SE women | W&S women | % diff | Effect size | SE women | W&S women | % diff | Effect size | SE women | W&S women | % Diff | Effect size | SE women | W&S women | % diff | Effect size | |
| % with children | 63% | 66% | -3% | .011 | 59% | 68% | -9% | .049 | 58% | 66% | -8% | .052 | 56% | 67% | -11% | .060 |
| % in se | 5 | 6 | 5 | 5 | ||||||||||||
| p/t work | 45 | 27 | 18* | .070 | 40 | 29 | 11* | .064 | 48 | 30 | 18* | .084 | 47 | 30 | 17* | .083 |
| Wfh | 62 | 16 | 46* | .273 | 64 | 79 | -15* | .137 | 72 | 36 | 36* | .167 | 66 | 32 | 34* | .167 |
| Caring | 32 | 17 | 15* | .085 | 15 | 10 | 5 | .007 | 43 | 40 | 3 | .006 | 49 | 43 | 6 | .068 |
| Married | 65 | 58 | 7* | .075 | 66 | 54 | 12* | .059 | 64 | 49 | 15* | .091 | 51 | 48 | 3* | .048 |
| Children<15 | 42 | 40 | 2* | .010 | 36 | 39 | -3* | .007 | 37 | 38 | -1 | .007 | 38 | 38 | 0 | n/a |
| Older/adult | 20 | 26 | -6* | .031 | 23 | 29 | -6* | .017 | 21 | 28 | -7* | .032 | 18 | 29 | -11* | .053 |
| No children | 37 | 33 | 4* | .019 | 41 | 31 | 10* | .044 | 42 | 34 | 8* | .037 | 44 | 33 | 11* | .056 |
| Occ 1 | 65 | 42 | 23* | .032 | 61 | 42 | 19* | .090 | 67 | 44 | 23* | .100 | 60 | 43 | 17* | .086 |
| Occ 2 | 14 | 21 | -7* | .050 | 17 | 22 | -5* | .029 | 9 | 21 | -12* | .091 | 11 | 17 | -6* | .032 |
| Occ 3 | 22 | 36 | -14* | .101 | 22 | 36 | -14* | .068 | 24 | 35 | -11* | .129 | 29 | 40 | -11* | .063 |
| Sector 1 | 17 | 11 | 6* | .046 | 18 | 10 | 8* | .050 | 15 | 11 | 4* | .027 | 18 | 31 | -13* | .047 |
| Sector 2 | 22 | 34 | -12* | .067 | 23 | 32 | -9* | .051 | 18 | 35 | -17* | .071 | 20 | 36 | -16* | .060 |
| Sector 3 | 31 | 16 | 15* | .092 | 31 | 26 | 5* | .081 | 36 | 17 | 19* | .095 | 33 | 22 | 11* | .039 |
| Sector 4 | 30 | 38 | -8* | .042 | 28 | 22 | 6* | .046 | 31 | 37 | -6* | .024 | 28 | 11 | 17* | .087 |
| Age 20-29 | 5 | 23 | -18* | .085 | 5 | 22 | -17* | .086 | 8 | 24 | -16* | .072 | 8 | 24 | -16* | .066 |
| Age 30-39 | 22 | 26 | -4* | .023 | 15 | 26 | -11* | .059 | 19 | 24 | -5* | .026 | 22 | 23 | -1 | .009 |
| Age 40-49 | 28 | 25 | 3 | .007 | 32 | 26 | 6* | .031 | 29 | 26 | 3 | .016 | 30 | 26 | 4* | .019 |
| Age 50-59 | 25 | 18 | 7* | .045 | 27 | 19 | 8* | .049 | 27 | 18 | 9* | .052 | 21 | 19 | 2 | .001 |
| Age 60-69 | 18 | 7 | 11* | .069 | 19 | 6 | 13* | .083 | 16 | 7 | 9* | .047 | 18 | 7 | 11* | .070 |
| n | 427 | 7,002 | 337 | 5,796 | 371 | 6,103 | ||||||||||
| N | 57,666 | 1.79m | 59,087 | 951,399 | 57,610 | 1.08m | 63,987 | 1.1m | ||||||||
Binary logistic regression of flexibility and work-related factors on the choice for solo self-employment for women_ DV self-employment/wage- and-salaried work
| 2019 | 2020 | 2021 | 2022 | |
|---|---|---|---|---|
| Constant | -4.429 | -5.021 | -6.811 | -5.553 |
| Int. part-time/caring reasons | 3.274*(.012) | 1.897*(.017) | 3.329*(.015) | 3.168*(.014) |
| Home working | 8.614*(.014) | 2.590* (.011) | 4.672*(.012) | 3.632*(.012) |
| Children <15 | 1.068*(.014) | 1.049* (.011) | .915*(.011) | 1.097*(.015) |
| Married | 1.118*(.012) | .966*(.012) | 1.579*(.010) | 1.184*(.012) |
| Occupation 1 | 1.063*(.019) | 2.906*(.018) | 3.691*(.017) | 2.579*(.017) |
| Occupation 2 | .144*(.024) | 1.374*(.019) | n/a | 1.484*(.018) |
| Sector 1 | 1.986*(.013) | 1.807*(.011) | 1.412* (.015) | 1.886*(.016) |
| Sector 3 | 2.068*(.012) | 1.489*(.014) | 2.345*(.016) | 1.389*(.016) |
| Sector 4 | .709*(.015) | .837*(.014) | 1.340*(.015) | .898*(.015) |
| Age 30-39 | .938*(.022) | .894*(019) | .1444*(.016) | 1.169*(.020) |
| Age 40-49 | 1.234*(.021) | 1.840*(.017) | 2.595*(.012) | 1.575*(.020) |
| Age 50-59 | 2.342*(.021) | 2.989*(.021) | 4.436*(.025) | 1.764*(.020) |
| Age 60-69 | 4.856*(.023) | 7.386*(.021) | 8.775*(.027) | 4.567*(.021) |
| n | 6, 280 | 5, 507 | 5, 6794 | 6, 044 |
% distributions of independent variables 2019-2022 plus Chi Sq and Cramers v effect sizes: solo self-employed by sex
| 2019 | 2020 | 2021 | 2022 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Women | Men | % diff | Effect size | Women | Men | % diff | Effect size | Women | Men | % diff | Effect size | Women | Men | % diff | Effect size | |
| % with children | 63% | 56% | +6% | .120 | 59% | 57% | + 2% | .080 | 58% | 56% | + 2% | .075 | 56% | 51% | + 5% | .130 |
| % in se | 5 | 14 | -9* | .151 | 6 | 16 | -10* | .106 | 5 | 13 | -8* | .145 | 5 | 13 | -8 | .128 |
| p/t work | 45 | 12 | 33* | .345 | 40 | 14 | 26* | .268 | 48 | 18 | 30* | .297 | 47 | 19 | 28 | .290 |
| Wfh | 62 | 53 | 9* | .066 | 64 | 49 | 15* | .109 | 72 | 44 | 28* | .245 | 66 | 50 | 16 | .160 |
| Caring | 32 | 4 | 28* | .293 | 15 | 9 | 6* | .217 | 43 | 13 | 30 | .323 | 49 | 6 | 43 | .343 |
| Married | 65 | 67 | -2* | .012 | 66 | 68 | -2* | .111 | 64 | 68 | -4* | .065 | 51 | 54 | -3 | .120 |
| Children<15 | 42 | 30 | 12* | .062 | 36 | 30 | 6* | .023 | 37 | 30 | 7* | .053 | 38 | 29 | 9 | .091 |
| Children >15 | 20 | 26 | -6* | .110 | 23 | 27 | -4* | .022 | 21 | 25 | -4* | .029 | 18 | 21 | -3 | .017 |
| No children/adult | 37 | 44 | -7* | .052 | 41 | 43 | -2* | .022 | 42 | 44 | -2* | .024 | 44 | 49 | -5 | .025 |
| Occupation 1 | 65 | 31 | 34* | .296 | 61 | 33 | 28* | .251 | 67 | 32 | 35* | .311 | 60 | 35 | 25 | .248 |
| Occupation 2 | 14 | 51 | -37* | .328 | 17 | 51 | -34* | .304 | 9 | 53 | -44* | .389 | 11 | 49 | -38 | .321 |
| Occupation 3 | 22 | 18 | 4* | .044 | 22 | 16 | 6* | .071 | 24 | 15 | 9* | .103 | 29 | 16 | 13 | .087 |
| Sector 1 | 17 | 56 | -39* | .315 | 18 | 55 | -37* | .306 | 15 | 59 | -44* | .355 | 18 | 55 | -37 | .305 |
| Sector 2 | 22 | 25 | -3* | .033 | 23 | 22 | 1 | .007 | 18 | 21 | -3 | .039 | 20 | 22 | -2 | .011 |
| Sector 3 | 31 | 16 | 15* | .162 | 31 | 18 | 13* | .124 | 36 | 17 | 19* | .191 | 33 | 19 | 14 | .132 |
| Sector 4 | 30 | 3 | 27* | .379 | 28 | 4 | 24* | .342 | 31 | 3 | 28* | .404 | 28 | 4 | 24 | .354 |
| Age 20-29 | 7 | 5 | 2 | .065 | 7 | 5 | 2 | .059 | 9 | 4 | 5 | .059 | 9 | 3 | 6 | .045 |
| Age 30-39 | 22 | 13 | 9* | .029 | 15 | 14 | 1 | n/a | 19 | 11 | 8* | .051 | 22 | 12 | 10 | .169 |
| Age 40-49 | 28 | 23 | 5* | .018 | 32 | 23 | 9* | .085 | 29 | 24 | 5 | .022 | 30 | 23 | 7 | .008 |
| Age 50-59 | 25 | 30 | -5* | .056 | 27 | 27 | 0 | n/a | 27 | 26 | 1 | n/a | 21 | 27 | -6 | .148 |
| Age 60-69 | 18 | 29 | -11* | .066 | 19 | 31 | -12 | .107 | 16 | 35 | -19 | .132 | 18 | 35 | -17 | .025 |
| n | 427 | 1371 | 385 | 1179 | 337 | 1099 | 371 | 1045 | ||||||||
| N | 57,666 | 174,636 | 59,087 | 165,422 | 57,610 | 167,968 | 63,987 | 164,986 | ||||||||