I am running an ordinal regression model separately for each sex because I expect that the effects of the predictors (specifically the interaction) to be different for men and women. The models are testing the likelihood that men/women would have a traditional ideology.
Code:
svyset qid [pweight=wt] svy: ologit id3 i.education 1.work 0.spouse#i.economic i.religion i.listen political i.economic i.marital i.region logincome age agesq i.cohort i.period if gender==1, or est store man svy: ologit id3 i.education 1.work 0.spouse#i.economic i.religion i.listen political i.economic i.marital i.region logincome age agesq i.cohort i.period if gender==2, or est store woman suest man woman
Code:
Simultaneous survey results for man, woman
Number of strata = 1 Number of obs = 2,680
Number of PSUs = 1,987 Population size = 2,655.2312
Design df = 1,986
-----------------------------------------------------------------------------------------------------------------
| Linearized
| Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------------------------------------+----------------------------------------------------------------
man_id3 |
education |
Elementary | .0787633 .1806598 0.44 0.663 -.2755394 .433066
Secondary | .0117818 .1726825 0.07 0.946 -.3268761 .3504397
University | .1053516 .2021198 0.52 0.602 -.2910376 .5017408
|
work |
1. yes | -.1116036 .1737101 -0.64 0.521 -.4522767 .2290695
|
spouse#economic |
Spouse works#Covers expenses (secure) | 1.160649 .3581059 3.24 0.001 .4583466 1.862952
Spouse works#Doesn't cover expenses (insecure) | -.4648882 .2072134 -2.24 0.025 -.8712666 -.0585098
|
religion |
2. christian | -.0182428 .2704264 -0.07 0.946 -.5485919 .5121064
|
listen |
2. sometimes | -.3539208 .1319334 -2.68 0.007 -.6126632 -.0951785
3. rarely | -.4853662 .1459226 -3.33 0.001 -.7715436 -.1991889
|
political | .2089263 .0620367 3.37 0.001 .0872625 .33059
|
economic |
Doesn't cover expenses (insecure) | .0729956 .1575337 0.46 0.643 -.2359531 .3819442
|
marital |
2. married | -.0432063 .1904298 -0.23 0.821 -.4166694 .3302567
|
region |
Lower Egypt governorates | -.1365269 .1599036 -0.85 0.393 -.4501234 .1770695
Upper Egypt governorates | -.2274291 .1685498 -1.35 0.177 -.557982 .1031238
|
logincome | .1551783 .0958476 1.62 0.106 -.0327941 .3431508
age | .0128797 .051374 0.25 0.802 -.0878728 .1136323
agesq | -.0001043 .0005008 -0.21 0.835 -.0010865 .0008779
|
cohort |
1964-1973 | .1119754 .2476741 0.45 0.651 -.373753 .5977037
1974-1983 | .3115691 .3595084 0.87 0.386 -.3934841 1.016622
1984-1993 | .4088195 .5206053 0.79 0.432 -.6121704 1.429809
|
period |
2012-2014 | .6442029 .1490939 4.32 0.000 .3518061 .9365997
2016-2017 | .7775735 .1686798 4.61 0.000 .4467656 1.108381
------------------------------------------------+----------------------------------------------------------------
/man |
cut1 | -.7401549 1.46927 -3.621628 2.141318
cut2 | .5665118 1.464685 -2.305969 3.438993
cut3 | 2.077412 1.467121 -.7998457 4.95467
------------------------------------------------+----------------------------------------------------------------
woman_id3 |
education |
Elementary | .2780877 .1916926 1.45 0.147 -.0978519 .6540274
Secondary | .3179796 .1865287 1.70 0.088 -.0478329 .683792
University | .4554928 .2570505 1.77 0.077 -.0486242 .9596097
|
work |
1. yes | .2620603 .2351785 1.11 0.265 -.1991622 .7232829
|
spouse#economic |
Spouse works#Covers expenses (secure) | -.3328209 .3344589 -1.00 0.320 -.9887481 .3231063
Spouse works#Doesn't cover expenses (insecure) | -.1385766 .2600382 -0.53 0.594 -.648553 .3713997
|
religion |
2. christian | .2921078 .378534 0.77 0.440 -.4502576 1.034473
|
listen |
2. sometimes | -.7402079 .1633234 -4.53 0.000 -1.060511 -.4199048
3. rarely | -.4795959 .1657152 -2.89 0.004 -.8045897 -.154602
|
political | .4714854 .054928 8.58 0.000 .3637628 .579208
|
economic |
Doesn't cover expenses (insecure) | -.0602975 .2918711 -0.21 0.836 -.6327033 .5121082
|
marital |
2. married | .0447678 .2589441 0.17 0.863 -.4630628 .5525984
|
region |
Lower Egypt governorates | -.2900283 .1768335 -1.64 0.101 -.6368269 .0567704
Upper Egypt governorates | -.3901754 .1939057 -2.01 0.044 -.7704554 -.0098955
|
logincome | .0190685 .1196309 0.16 0.873 -.2155468 .2536839
age | .0013179 .0545291 0.02 0.981 -.1056223 .1082581
agesq | .0003056 .000605 0.51 0.614 -.0008809 .0014921
|
cohort |
1964-1973 | .5862433 .3077719 1.90 0.057 -.0173463 1.189833
1974-1983 | 1.01426 .4388562 2.31 0.021 .1535936 1.874927
1984-1993 | 1.402392 .5997558 2.34 0.019 .226175 2.578608
|
period |
2012-2014 | -.0401117 .181343 -0.22 0.825 -.3957542 .3155308
2016-2017 | .2895471 .1937657 1.49 0.135 -.0904583 .6695524
------------------------------------------------+----------------------------------------------------------------
/woman |
cut1 | -2.069591 1.625566 -5.257586 1.118403
cut2 | -.4816368 1.625974 -3.670431 2.707158
cut3 | 1.003396 1.620462 -2.174587 4.181379
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Code:
test [man_id3]0.spouse#0.economic = [woman_id3]0.spouse#0.economic
Adjusted Wald test
( 1) [man_id3]0.spouse#0b.economic - [woman_id3]0.spouse#0b.economic = 0
F( 1, 1986) = 9.34
Prob > F = 0.0023
.
. test [man_id3]0.spouse#1.economic = [woman_id3]0.spouse#1.economic
Adjusted Wald test
( 1) [man_id3]0.spouse#1.economic - [woman_id3]0.spouse#1.economic = 0
F( 1, 1986) = 1.00
Prob > F = 0.3172
- The first test means we can reject the null that both coefficients are equal to one another
- We cannot reject the null that both coefficients are equal to each other. Specifically, having a spouse that works and being financially insecure leads to a more traditional ideology for both men and women. As in there is no difference between the two coefficients and both coefficients are negatively associated with ideology.
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