Приложение 11
Значимые коэффициенты корреляции с переменными «Принадлежность к кластеру»
|
Переменная «Принадлежность к кластеру» |
Переменная «Фактор» |
Хи-квадрат Пирсона (уровень значимости) |
|
|
Кластер 1 |
Возраст компании (s6v15) |
9,214 (0,027) |
|
|
Доля временно занятых сотрудников (s2v6h) |
14,712 (0,005) |
||
|
Кластер 2 |
Разбивка на отрасли (s6v1_industry) |
20,300 (0,016) |
|
|
Предоставление дополнительного пенсионного обеспечения (s4v3g) |
6,710 (0,01) |
||
|
Наличие и распространение плановых ротаций (s3v8i) |
12,623 (0,013) |
||
|
Возраст компании (s6v15) |
13,315 (0,004) |
||
|
доля сотрудников-членов профсоюза (s5v1) |
16,721 (0,002) |
||
|
Доля частично занятых сотрудников (s2v6e) |
8,908 (0,031) |
||
|
Доля сотрудников, работающих по сменам (s2v6b) |
14,524 (0,006) |
||
|
Количество работников (s1v1) |
23,567 (0) |
||
|
Доля сотрудников с высшим образованием (s6v13) |
14,606 (0,006) |
||
|
Доля специалистов, по сравнению со служащими (s1v2b_c) |
6,825 (0,009) |
||
|
Доля сотрудников 25 лет и младше (s6v11) |
28,569 (0) |
||
|
Доля сотрудников 50 лет и старше (s6v12) |
15,631 (0,008) |
||
|
Кластер 3 |
Разбивка на отрасли (s6v1_industry) |
17,311 (0,044) |
|
|
Возраст компании (s6v15) |
11,498 (0,009) |
||
|
Кластер 4 |
доля сотрудников-членов профсоюза (s5v1) |
9,983 (0,041) |
|
|
доля женщин (s1v1_woman) |
9,246 (0,026) |
||
|
Кластер 5 |
Использование обучения на рабочем месте (s3v8c) |
12,037 (0,017) |
|
|
Состояние рынка, на котором осуществляет деятельность компания (s6v7_recoded) |
10,314 (0,006) |
||
|
Разбивка на отрасли (s6v1_industry) |
20,200 (0,017) |
||
|
Наличие HR стратегии (s1v6_cde) |
12,643 (0) |
||
|
Наличие и распространение плановых ротаций (s3v8i) |
11,076(0,026) |
||
|
Информирование по 3-м вопросам (стратегия, финансы, организация работы) (s5v6_informed) |
12,603 (0,013) |
||
|
доля сотрудников-членов профсоюза (s5v1) |
13,257 (0,01) |
||
|
Кластер 6 |
Состояние рынка, на котором осуществляет деятельность компания (s6v7_recoded) |
8,368 (0,015) |
|
|
Относительный уровень производительности (s6v5b) |
10,449 (0,034) |
||
|
Относительный уровень качества услуг (s6v5a) |
13,444 (0,004) |
||
|
Относительный уровень рентабельности (s6v5c) |
13,054 (0,011) |
||
|
Доля сотрудников с высшим образованием (s6v13) |
13,545 (0,009) |
||
|
Доля сотрудников 50 лет и старше (s6v12) |
24,750 (0) |
Приложение 12
Модель мультиномиальной логистической регрессии, основанной только на независимых переменных
|
Кластерная модель (последний кластер - референтная группа) |
B |
Std. Error |
Wald |
df |
Sig. |
Exp(B) |
95% Confidence Interval for Exp(B) |
|||
|
Lower Bound |
Upper Bound |
|||||||||
|
1 |
Intercept |
-2,509 |
0,886 |
8,021 |
1 |
0,005 |
||||
|
[s6v7_recoded=1,00] |
0,028 |
0,96 |
0,001 |
1 |
0,977 |
1,028 |
0,157 |
6,747 |
||
|
[s6v7_recoded=2,00] |
0,783 |
0,748 |
1,097 |
1 |
0,295 |
2,188 |
0,506 |
9,473 |
||
|
[s6v7_recoded=3,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s6v15_recoded=1,00] |
2,754 |
1,063 |
6,713 |
1 |
0,01* |
15,71 |
1,956 |
126,199 |
||
|
[s6v15_recoded=2,00] |
2,267 |
0,893 |
6,444 |
1 |
0,011* |
9,653 |
1,677 |
55,571 |
||
|
[s6v15_recoded=3,00] |
2,496 |
1,644 |
2,305 |
1 |
0,129 |
12,138 |
0,484 |
304,663 |
||
|
[s6v15_recoded=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
2 |
Intercept |
-0,904 |
0,584 |
2,392 |
1 |
0,122 |
||||
|
[s6v7_recoded=1,00] |
0,198 |
0,85 |
0,054 |
1 |
0,816 |
1,219 |
0,231 |
6,445 |
||
|
[s6v7_recoded=2,00] |
0,913 |
0,689 |
1,758 |
1 |
0,185 |
2,491 |
0,646 |
9,606 |
||
|
[s6v7_recoded=3,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s6v15_recoded=1,00] |
1,736 |
0,786 |
4,884 |
1 |
0,027* |
5,675 |
1,217 |
26,465 |
||
|
[s6v15_recoded=2,00] |
-1,051 |
0,892 |
1,389 |
1 |
0,239 |
0,35 |
0,061 |
2,007 |
||
|
[s6v15_recoded=3,00] |
-17,98 |
0 |
. |
1 |
. |
1,55E-08 |
1,55E-08 |
1,55E-08 |
||
|
[s6v15_recoded=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
3 |
Intercept |
-1,754 |
0,757 |
5,375 |
1 |
0,02 |
||||
|
[s6v7_recoded=1,00] |
-18,253 |
6319,782 |
0 |
1 |
0,998 |
1,18E-08 |
0 |
.c |
||
|
[s6v7_recoded=2,00] |
0,471 |
0,737 |
0,408 |
1 |
0,523 |
1,602 |
0,377 |
6,797 |
||
|
[s6v7_recoded=3,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s6v15_recoded=1,00] |
0,907 |
1,34 |
0,459 |
1 |
0,498 |
2,478 |
0,179 |
34,226 |
||
|
[s6v15_recoded=2,00] |
1,815 |
0,801 |
5,134 |
1 |
0,023* |
6,143 |
1,278 |
29,535 |
||
|
[s6v15_recoded=3,00] |
-16,889 |
0 |
. |
1 |
. |
4,62E-08 |
4,62E-08 |
4,62E-08 |
||
|
[s6v15_recoded=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
4 (6) |
Intercept |
-2,09 |
1,06 |
3,885 |
1 |
0,049 |
||||
|
[s6v7_recoded=1,00] |
-19,373 |
7676,918 |
0 |
1 |
0,998 |
3,86E-09 |
0 |
.c |
||
|
[s6v7_recoded=2,00] |
-2,013 |
1,185 |
2,886 |
1 |
0,089* |
0,134 |
0,013 |
1,363 |
||
|
[s6v7_recoded=3,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s6v15_recoded=1,00] |
2,565 |
1,419 |
3,27 |
1 |
0,071* |
13,003 |
0,806 |
209,71 |
||
|
[s6v15_recoded=2,00] |
2,421 |
1,212 |
3,992 |
1 |
0,046* |
11,258 |
1,047 |
121,019 |
||
|
[s6v15_recoded=3,00] |
2,688 |
1,867 |
2,072 |
1 |
0,15 |
14,698 |
0,378 |
571,142 |
||
|
[s6v15_recoded=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
5 |
Intercept |
0,226 |
0,466 |
0,236 |
1 |
0,627 |
||||
|
[s6v7_recoded=1,00] |
-2,073 |
1,163 |
3,176 |
1 |
0,075* |
0,126 |
0,013 |
1,23 |
||
|
[s6v7_recoded=2,00] |
-1,751 |
0,874 |
4,014 |
1 |
0,045* |
0,174 |
0,031 |
0,963 |
||
|
[s6v7_recoded=3,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s6v15_recoded=1,00] |
0,526 |
0,948 |
0,308 |
1 |
0,579 |
1,693 |
0,264 |
10,861 |
||
|
[s6v15_recoded=2,00] |
-0,887 |
0,912 |
0,946 |
1 |
0,331 |
0,412 |
0,069 |
2,461 |
||
|
[s6v15_recoded=3,00] |
0,273 |
1,561 |
0,031 |
1 |
0,861 |
1,315 |
0,062 |
28,041 |
||
|
[s6v15_recoded=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
a The reference category is: 6,00. |
p<0,05; Nagelkerke = 0,493
Приложение 13
Модель мультиномиальной логистической регрессии, основанной переменных, включая коррелирующие на уровне значимости p<0.1
|
Кластерная модель (последний кластер - референтная группа) |
B |
Std. Error |
Wald |
df |
Sig. |
Exp(B) |
95% Confidence Interval for Exp(B) |
|||
|
Lower Bound |
Upper Bound |
|||||||||
|
1 |
Intercept |
-2,33 |
1,072 |
4,721 |
1 |
0,03 |
||||
|
[s6v15_recoded=1,00] |
4,13 |
1,269 |
10,588 |
1 |
0,001* |
62,194 |
5,168 |
748,533 |
||
|
[s6v15_recoded=2,00] |
2,627 |
1,063 |
6,105 |
1 |
0,013* |
13,829 |
1,721 |
111,097 |
||
|
[s6v15_recoded=3,00] |
-17,539 |
0 |
. |
1 |
. |
2,42E-08 |
2,42E-08 |
2,42E-08 |
||
|
[s6v15_recoded=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s3v8c=0] |
-0,816 |
8681,321 |
0 |
1 |
1 |
0,442 |
0 |
.c |
||
|
[s3v8c=1] |
-0,389 |
6862,461 |
0 |
1 |
1 |
0,678 |
0 |
.c |
||
|
[s3v8c=2] |
1,236 |
0,977 |
1,599 |
1 |
0,206 |
3,441 |
0,507 |
23,361 |
||
|
[s3v8c=3] |
-1,456 |
1,07 |
1,851 |
1 |
0,174 |
0,233 |
0,029 |
1,9 |
||
|
[s3v8c=4] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s1v1_woman1=1,00] |
0,069 |
0,895 |
0,006 |
1 |
0,938 |
1,072 |
0,185 |
6,196 |
||
|
[s1v1_woman1=2,00] |
16,455 |
3687,914 |
0 |
1 |
0,996 |
14012793,1 |
0 |
.c |
||
|
[s1v1_woman1=3,00] |
-17,055 |
1776,203 |
0 |
1 |
0,992 |
3,92E-08 |
0 |
.c |
||
|
[s1v1_woman1=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
2 |
Intercept |
-0,827 |
0,744 |
1,233 |
1 |
0,267 |
||||
|
[s6v15_recoded=1,00] |
2,325 |
0,95 |
5,989 |
1 |
0,014* |
10,223 |
1,589 |
65,776 |
||
|
[s6v15_recoded=2,00] |
-1,074 |
0,994 |
1,168 |
1 |
0,28 |
0,342 |
0,049 |
2,397 |
||
|
[s6v15_recoded=3,00] |
-18,6 |
0 |
. |
1 |
. |
8,36E-09 |
8,36E-09 |
8,36E-09 |
||
|
[s6v15_recoded=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s3v8c=0] |
0,345 |
10011,234 |
0 |
1 |
1 |
1,411 |
0 |
.c |
||
|
[s3v8c=1] |
18,45 |
4503,572 |
0 |
1 |
0,997 |
102963672 |
0 |
.c |
||
|
[s3v8c=2] |
1,611 |
0,914 |
3,106 |
1 |
0,078* |
5,006 |
0,835 |
30,023 |
||
|
[s3v8c=3] |
0,408 |
0,865 |
0,223 |
1 |
0,637 |
1,504 |
0,276 |
8,196 |
||
|
[s3v8c=4] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s1v1_woman1=1,00] |
-1,558 |
0,919 |
2,876 |
1 |
0,09* |
0,211 |
0,035 |
1,275 |
||
|
[s1v1_woman1=2,00] |
15,532 |
3687,914 |
0 |
1 |
0,997 |
5564735,86 |
0 |
.c |
||
|
[s1v1_woman1=3,00] |
0,051 |
0,855 |
0,004 |
1 |
0,952 |
1,052 |
0,197 |
5,622 |
||
|
[s1v1_woman1=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
3 |
Intercept |
-1,324 |
0,86 |
2,373 |
1 |
0,123 |
||||
|
[s6v15_recoded=1,00] |
0,902 |
1,446 |
0,389 |
1 |
0,533 |
2,463 |
0,145 |
41,876 |
||
|
[s6v15_recoded=2,00] |
1,327 |
0,86 |
2,382 |
1 |
0,123 |
3,769 |
0,699 |
20,321 |
||
|
[s6v15_recoded=3,00] |
-17,941 |
0 |
. |
1 |
. |
1,62E-08 |
1,62E-08 |
1,62E-08 |
||
|
[s6v15_recoded=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s3v8c=0] |
20,102 |
5591,053 |
0 |
1 |
0,997 |
537376834 |
0 |
.c |
||
|
[s3v8c=1] |
-0,065 |
6993,28 |
0 |
1 |
1 |
0,937 |
0 |
.c |
||
|
[s3v8c=2] |
1,187 |
1,148 |
1,069 |
1 |
0,301 |
3,276 |
0,346 |
31,053 |
||
|
[s3v8c=3] |
1,452 |
0,847 |
2,94 |
1 |
0,086* |
4,271 |
0,812 |
22,451 |
||
|
[s3v8c=4] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s1v1_woman1=1,00] |
-2,528 |
1,13 |
5,01 |
1 |
0,025* |
0,08 |
0,009 |
0,73 |
||
|
[s1v1_woman1=2,00] |
-1,726 |
7058,485 |
0 |
1 |
1 |
0,178 |
0 |
.c |
||
|
[s1v1_woman1=3,00] |
-1,941 |
1,244 |
2,433 |
1 |
0,119 |
0,144 |
0,013 |
1,645 |
||
|
[s1v1_woman1=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
4 (6) |
Intercept |
-16,582 |
1668,121 |
0 |
1 |
0,992 |
||||
|
[s6v15_recoded=1,00] |
16,724 |
1668,121 |
0 |
1 |
0,992 |
18320044,5 |
0 |
.c |
||
|
[s6v15_recoded=2,00] |
16,395 |
1668,121 |
0 |
1 |
0,992 |
13187819,9 |
0 |
.c |
||
|
[s6v15_recoded=3,00] |
31,997 |
2110,763 |
0 |
1 |
0,988 |
7,8723E+13 |
0 |
.c |
||
|
[s6v15_recoded=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s3v8c=0] |
15,976 |
0 |
. |
1 |
. |
8678955,31 |
8678955,31 |
8678955,31 |
||
|
[s3v8c=1] |
-0,413 |
8564,141 |
0 |
1 |
1 |
0,662 |
0 |
.c |
||
|
[s3v8c=2] |
-29,468 |
2572,876 |
0 |
1 |
0,991 |
1,59E-13 |
0 |
.c |
||
|
[s3v8c=3] |
0,525 |
1,096 |
0,23 |
1 |
0,632 |
1,691 |
0,197 |
14,483 |
||
|
[s3v8c=4] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s1v1_woman1=1,00] |
-29,994 |
2134,91 |
0 |
1 |
0,989 |
9,41E-14 |
0 |
.c |
||
|
[s1v1_woman1=2,00] |
0,63 |
7698,271 |
0 |
1 |
1 |
1,877 |
0 |
.c |
||
|
[s1v1_woman1=3,00] |
-0,983 |
1,284 |
0,585 |
1 |
0,444 |
0,374 |
0,03 |
4,64 |
||
|
[s1v1_woman1=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
5 |
Intercept |
-0,401 |
0,705 |
0,323 |
1 |
0,57 |
||||
|
[s6v15_recoded=1,00] |
0,305 |
1,117 |
0,075 |
1 |
0,785 |
1,357 |
0,152 |
12,123 |
||
|
[s6v15_recoded=2,00] |
-1,645 |
0,994 |
2,737 |
1 |
0,098* |
0,193 |
0,027 |
1,355 |
||
|
[s6v15_recoded=3,00] |
1,074 |
1,751 |
0,376 |
1 |
0,54 |
2,926 |
0,094 |
90,603 |
||
|
[s6v15_recoded=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s3v8c=0] |
19,524 |
5591,053 |
0 |
1 |
0,997 |
301500383 |
0 |
.c |
||
|
[s3v8c=1] |
18,631 |
4503,572 |
0 |
1 |
0,997 |
123466191 |
0 |
.c |
||
|
[s3v8c=2] |
0,392 |
1,085 |
0,131 |
1 |
0,718 |
1,48 |
0,177 |
12,413 |
||
|
[s3v8c=3] |
1,259 |
0,806 |
2,436 |
1 |
0,119 |
3,52 |
0,725 |
17,096 |
||
|
[s3v8c=4] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
[s1v1_woman1=1,00] |
-1,738 |
0,886 |
3,853 |
1 |
0,05* |
0,176 |
0,031 |
0,997 |
||
|
[s1v1_woman1=2,00] |
16,443 |
3687,914 |
0 |
1 |
0,996 |
13843223,1 |
0 |
.c |
||
|
[s1v1_woman1=3,00] |
-0,45 |
0,916 |
0,241 |
1 |
0,624 |
0,638 |
0,106 |
3,843 |
||
|
[s1v1_woman1=4,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
a The reference category is: 6,00. |
p<0,05; Nagelkerke= 0,692
Приложение 14
Модель мультиномиальной логистической регрессии, основанной на всех переменных
|
Кластерная модель (последний кластер - референтная группа) |
B |
Std. Error |
Wald |
df |
Sig. |
Exp(B) |
95% Confidence Interval for Exp(B) |
|||
|
1 |
Intercept |
-0,47 |
0,403 |
1,359 |
1 |
0,244 |
Lower Bound |
Upper Bound |
||
|
[s1v1_recoded=2,00] |
-0,223 |
1,289 |
0,03 |
1 |
0,863 |
0,8 |
0,064 |
10,014 |
||
|
[s1v1_recoded=3,00] |
0,182 |
0,864 |
0,045 |
1 |
0,833 |
1,2 |
0,221 |
6,521 |
||
|
[s1v1_recoded=4,00] |
0,152 |
0,615 |
0,061 |
1 |
0,805 |
1,164 |
0,348 |
3,885 |
||
|
[s1v1_recoded=5,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
2 |
Intercept |
-1,386 |
0,559 |
6,15 |
1 |
0,013 |
||||
|
[s1v1_recoded=2,00] |
3,178 |
0,946 |
11,274 |
1 |
0,001* |
24 |
3,755 |
153,412 |
||
|
[s1v1_recoded=3,00] |
1,386 |
0,901 |
2,365 |
1 |
0,124 |
4 |
0,684 |
23,406 |
||
|
[s1v1_recoded=4,00] |
0,087 |
0,858 |
0,01 |
1 |
0,919 |
1,091 |
0,203 |
5,867 |
||
|
[s1v1_recoded=5,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
3 |
Intercept |
-0,47 |
0,403 |
1,359 |
1 |
0,244 |
||||
|
[s1v1_recoded=2,00] |
0,47 |
1,078 |
0,19 |
1 |
0,663 |
1,6 |
0,193 |
13,24 |
||
|
[s1v1_recoded=3,00] |
-19,525 |
0 |
. |
1 |
. |
3,32E-09 |
3,32E-09 |
3,32E-09 |
||
|
[s1v1_recoded=4,00] |
-0,829 |
0,766 |
1,172 |
1 |
0,279 |
0,436 |
0,097 |
1,958 |
||
|
[s1v1_recoded=5,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
4(6) |
Intercept |
-0,827 |
0,453 |
3,328 |
1 |
0,068 |
||||
|
[s1v1_recoded=2,00] |
-18,837 |
0 |
. |
1 |
. |
6,60E-09 |
6,60E-09 |
6,60E-09 |
||
|
[s1v1_recoded=3,00] |
-19,574 |
0 |
. |
1 |
. |
3,16E-09 |
3,16E-09 |
3,16E-09 |
||
|
[s1v1_recoded=4,00] |
-0,473 |
0,793 |
0,355 |
1 |
0,551 |
0,623 |
0,132 |
2,952 |
||
|
[s1v1_recoded=5,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
||
|
5 |
Intercept |
-0,827 |
0,453 |
3,328 |
1 |
0,068 |
||||
|
[s1v1_recoded=2,00] |
1,925 |
0,934 |
4,251 |
1 |
0,039* |
6,857 |
1,1 |
42,758 |
||
|
[s1v1_recoded=3,00] |
0,539 |
0,888 |
0,368 |
1 |
0,544 |
1,714 |
0,301 |
9,773 |
||
|
[s1v1_recoded=4,00] |
-0,878 |
0,892 |
0,968 |
1 |
0,325 |
0,416 |
0,072 |
2,389 |
||
|
[s1v1_recoded=5,00] |
0b |
. |
. |
0 |
. |
. |
. |
. |
p<0,05; Nagelkerke = 0,304
Приложение 15
Логлинейный анализ для учета влияния отрасли
|
Parameter |
Estimate |
Std. Error |
Z |
Sig. |
95% Confidence Interval |
||
|
Lower Bound |
Upper Bound |
||||||
|
Constant |
2,015 |
0,365 |
5,518 |
0 |
1,299 |
2,731 |
|
|
[F1_Cl_6Cosine_WG_recoded = 1,00] |
-0,31 |
0,561 |
-0,552 |
0,581 |
-1,41 |
0,79 |
|
|
[F1_Cl_6Cosine_WG_recoded = 2,00] |
-1,38E-16 |
0,516 |
0 |
1 |
-1,012 |
1,012 |
|
|
[F1_Cl_6Cosine_WG_recoded = 3,00] |
0,236 |
0,488 |
0,484 |
0,628 |
-0,721 |
1,194 |
|
|
[F1_Cl_6Cosine_WG_recoded = 4,00] |
-0,511 |
0,596 |
-0,857 |
0,392 |
-1,68 |
0,658 |
|
|
[F1_Cl_6Cosine_WG_recoded = 5,00] |
-1,609 |
0,894 |
-1,799 |
0,072 |
-3,362 |
0,144 |
|
|
[F1_Cl_6Cosine_WG_recoded = 6,00] |
0a |
. |
. |
. |
. |
. |
|
|
[s6v1_industry =,00] |
0,125 |
0,501 |
0,25 |
0,803 |
-0,857 |
1,107 |
|
|
[s6v1_industry = 3,00] |
-0,762 |
0,647 |
-1,177 |
0,239 |
-2,031 |
0,507 |
|
|
[s6v1_industry = 4,00] |
-0,143 |
0,536 |
-0,267 |
0,789 |
-1,193 |
0,907 |
|
|
[s6v1_industry = 5,00] |
-1,609 |
0,894 |
-1,799 |
0,072* |
-3,362 |
0,144 |
|
|
[s6v1_industry = 6,00] |
-1,609 |
0,894 |
-1,799 |
0,072* |
-3,362 |
0,144 |
|
|
[s6v1_industry = 7,00] |
-0,511 |
0,596 |
-0,857 |
0,392 |
-1,68 |
0,658 |
|
|
[s6v1_industry = 8,00] |
-1,609 |
0,894 |
-1,799 |
0,072* |
-3,362 |
0,144 |
|
|
[s6v1_industry = 10,00] |
-2,708 |
1,461 |
-1,854 |
0,064* |
-5,571 |
0,155 |
|
|
[s6v1_industry = 11,00] |
-1,609 |
0,894 |
-1,799 |
0,072* |
-3,362 |
0,144 |
|
|
[s6v1_industry = 12,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 1,00] * [s6v1_industry =,00] |
-0,125 |
0,784 |
-0,16 |
0,873 |
-1,662 |
1,411 |
|
|
[F1_Cl_6Cosine_WG_recoded = 1,00] * [s6v1_industry = 3,00] |
0,561 |
0,907 |
0,619 |
0,536 |
-1,217 |
2,34 |
|
|
[F1_Cl_6Cosine_WG_recoded = 1,00] * [s6v1_industry = 4,00] |
-0,058 |
0,831 |
-0,069 |
0,945 |
-1,687 |
1,572 |
|
|
[F1_Cl_6Cosine_WG_recoded = 1,00] * [s6v1_industry = 5,00] |
-0,788 |
1,727 |
-0,457 |
0,648 |
-4,173 |
2,596 |
|
|
[F1_Cl_6Cosine_WG_recoded = 1,00] * [s6v1_industry = 6,00] |
-0,788 |
1,727 |
-0,457 |
0,648 |
-4,173 |
2,596 |
|
|
[F1_Cl_6Cosine_WG_recoded = 1,00] * [s6v1_industry = 7,00] |
-1,887 |
1,593 |
-1,185 |
0,236 |
-5,009 |
1,235 |
|
|
[F1_Cl_6Cosine_WG_recoded = 1,00] * [s6v1_industry = 8,00] |
0,821 |
1,176 |
0,698 |
0,485 |
-1,483 |
3,125 |
|
|
[F1_Cl_6Cosine_WG_recoded = 1,00] * [s6v1_industry = 10,00] |
1,409 |
1,727 |
0,816 |
0,415 |
-1,976 |
4,793 |
|
|
[F1_Cl_6Cosine_WG_recoded = 1,00] * [s6v1_industry = 11,00] |
0,31 |
1,284 |
0,242 |
0,809 |
-2,206 |
2,827 |
|
|
[F1_Cl_6Cosine_WG_recoded = 1,00] * [s6v1_industry = 12,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 2,00] * [s6v1_industry =,00] |
-0,887 |
0,819 |
-1,084 |
0,278 |
-2,492 |
0,717 |
|
|
[F1_Cl_6Cosine_WG_recoded = 2,00] * [s6v1_industry = 3,00] |
-1,946 |
1,598 |
-1,218 |
0,223 |
-5,077 |
1,185 |
|
|
[F1_Cl_6Cosine_WG_recoded = 2,00] * [s6v1_industry = 4,00] |
-2,565 |
1,556 |
-1,649 |
0,099 * |
-5,614 |
0,484 |
|
|
[F1_Cl_6Cosine_WG_recoded = 2,00] * [s6v1_industry = 5,00] |
-3,70E-17 |
1,265 |
0 |
1 |
-2,479 |
2,479 |
|
|
[F1_Cl_6Cosine_WG_recoded = 2,00] * [s6v1_industry = 6,00] |
1,88E-16 |
1,265 |
0 |
1 |
-2,479 |
2,479 |
|
|
[F1_Cl_6Cosine_WG_recoded = 2,00] * [s6v1_industry = 7,00] |
0,636 |
0,779 |
0,817 |
0,414 |
-0,89 |
2,162 |
|
|
[F1_Cl_6Cosine_WG_recoded = 2,00] * [s6v1_industry = 8,00] |
0,847 |
1,104 |
0,767 |
0,443 |
-1,317 |
3,011 |
|
|
[F1_Cl_6Cosine_WG_recoded = 2,00] * [s6v1_industry = 10,00] |
1,84E-16 |
2,066 |
0 |
1 |
-4,048 |
4,048 |
|
|
[F1_Cl_6Cosine_WG_recoded = 2,00] * [s6v1_industry = 11,00] |
-1,099 |
1,713 |
-0,641 |
0,521 |
-4,455 |
2,258 |
|
|
[F1_Cl_6Cosine_WG_recoded = 2,00] * [s6v1_industry = 12,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 3,00] * [s6v1_industry =,00] |
-1,124 |
0,801 |
-1,402 |
0,161 |
-2,694 |
0,447 |
|
|
[F1_Cl_6Cosine_WG_recoded = 3,00] * [s6v1_industry = 3,00] |
-2,182 |
1,589 |
-1,374 |
0,17 |
-5,296 |
0,932 |
|
|
[F1_Cl_6Cosine_WG_recoded = 3,00] * [s6v1_industry = 4,00] |
-2,801 |
1,547 |
-1,811 |
0,07* |
-5,833 |
0,23 |
|
|
[F1_Cl_6Cosine_WG_recoded = 3,00] * [s6v1_industry = 5,00] |
0,274 |
1,142 |
0,24 |
0,81 |
-1,965 |
2,514 |
|
|
[F1_Cl_6Cosine_WG_recoded = 3,00] * [s6v1_industry = 6,00] |
-1,335 |
1,704 |
-0,783 |
0,433 |
-4,676 |
2,006 |
|
|
[F1_Cl_6Cosine_WG_recoded = 3,00] * [s6v1_industry = 7,00] |
-2,434 |
1,569 |
-1,551 |
0,121 |
-5,508 |
0,641 |
|
|
[F1_Cl_6Cosine_WG_recoded = 3,00] * [s6v1_industry = 8,00] |
-1,335 |
1,704 |
-0,783 |
0,433 |
-4,676 |
2,006 |
|
|
[F1_Cl_6Cosine_WG_recoded = 3,00] * [s6v1_industry = 10,00] |
-0,236 |
2,059 |
-0,115 |
0,909 |
-4,272 |
3,799 |
|
|
[F1_Cl_6Cosine_WG_recoded = 3,00] * [s6v1_industry = 11,00] |
-0,236 |
1,254 |
-0,189 |
0,85 |
-2,694 |
2,221 |
|
|
[F1_Cl_6Cosine_WG_recoded = 3,00] * [s6v1_industry = 12,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 4,00] * [s6v1_industry =,00] |
-0,376 |
0,871 |
-0,432 |
0,666 |
-2,084 |
1,331 |
|
|
[F1_Cl_6Cosine_WG_recoded = 4,00] * [s6v1_industry = 3,00] |
-1,435 |
1,625 |
-0,883 |
0,377 |
-4,62 |
1,75 |
|
|
[F1_Cl_6Cosine_WG_recoded = 4,00] * [s6v1_industry = 4,00] |
-0,445 |
0,954 |
-0,466 |
0,641 |
-2,314 |
1,424 |
|
|
[F1_Cl_6Cosine_WG_recoded = 4,00] * [s6v1_industry = 5,00] |
-0,588 |
1,738 |
-0,338 |
0,735 |
-3,995 |
2,82 |
|
|
[F1_Cl_6Cosine_WG_recoded = 4,00] * [s6v1_industry = 6,00] |
-0,588 |
1,738 |
-0,338 |
0,735 |
-3,995 |
2,82 |
|
|
[F1_Cl_6Cosine_WG_recoded = 4,00] * [s6v1_industry = 7,00] |
-1,686 |
1,606 |
-1,05 |
0,294 |
-4,833 |
1,46 |
|
|
[F1_Cl_6Cosine_WG_recoded = 4,00] * [s6v1_industry = 8,00] |
0,511 |
1,3 |
0,393 |
0,694 |
-2,036 |
3,058 |
|
|
[F1_Cl_6Cosine_WG_recoded = 4,00] * [s6v1_industry = 10,00] |
0,511 |
2,087 |
0,245 |
0,807 |
-3,58 |
4,601 |
|
|
[F1_Cl_6Cosine_WG_recoded = 4,00] * [s6v1_industry = 11,00] |
-0,588 |
1,738 |
-0,338 |
0,735 |
-3,995 |
2,82 |
|
|
[F1_Cl_6Cosine_WG_recoded = 4,00] * [s6v1_industry = 12,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 5,00] * [s6v1_industry =,00] |
-1,224 |
1,708 |
-0,716 |
0,474 |
-4,572 |
2,124 |
|
|
[F1_Cl_6Cosine_WG_recoded = 5,00] * [s6v1_industry = 3,00] |
1,273 |
1,219 |
1,044 |
0,296 |
-1,116 |
3,662 |
|
|
[F1_Cl_6Cosine_WG_recoded = 5,00] * [s6v1_industry = 4,00] |
1,442 |
1,066 |
1,353 |
0,176 |
-0,646 |
3,531 |
|
|
[F1_Cl_6Cosine_WG_recoded = 5,00] * [s6v1_industry = 5,00] |
2,457 |
1,324 |
1,856 |
0,063* |
-0,138 |
5,051 |
|
|
[F1_Cl_6Cosine_WG_recoded = 5,00] * [s6v1_industry = 6,00] |
2,12 |
1,366 |
1,552 |
0,121 |
-0,558 |
4,798 |
|
|
[F1_Cl_6Cosine_WG_recoded = 5,00] * [s6v1_industry = 7,00] |
1,358 |
1,144 |
1,188 |
0,235 |
-0,883 |
3,6 |
|
|
[F1_Cl_6Cosine_WG_recoded = 5,00] * [s6v1_industry = 8,00] |
2,12 |
1,366 |
1,552 |
0,121 |
-0,558 |
4,798 |
|
|
[F1_Cl_6Cosine_WG_recoded = 5,00] * [s6v1_industry = 10,00] |
1,609 |
2,191 |
0,735 |
0,463 |
-2,685 |
5,904 |
|
|
[F1_Cl_6Cosine_WG_recoded = 5,00] * [s6v1_industry = 11,00] |
0,511 |
1,862 |
0,274 |
0,784 |
-3,138 |
4,16 |
|
|
[F1_Cl_6Cosine_WG_recoded = 5,00] * [s6v1_industry = 12,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 6,00] * [s6v1_industry =,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 6,00] * [s6v1_industry = 3,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 6,00] * [s6v1_industry = 4,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 6,00] * [s6v1_industry = 5,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 6,00] * [s6v1_industry = 6,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 6,00] * [s6v1_industry = 7,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 6,00] * [s6v1_industry = 8,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 6,00] * [s6v1_industry = 10,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 6,00] * [s6v1_industry = 11,00] |
0a |
. |
. |
. |
. |
. |
|
|
[F1_Cl_6Cosine_WG_recoded = 6,00] * [s6v1_industry = 12,00] |
0a |
. |
. |
. |
. |
. |
|
|
a This parameter is set to zero because it is redundant. |
|||||||
|
b Model: Poisson |
|||||||
|
c Design: Constant + F1_Cl_6Cosine_WG_recoded + s6v1_industry + F1_Cl_6Cosine_WG_recoded * s6v1_industry |