Code:
. svy: ologit satisfact_fin_con mcaid_exp eng_d eng_d_mexp gender i.ethnicity i.education c.income2012##c.income2012 c.i
> ncome2015##c.income2015 c.income2018##c.income2018 i.living_arr_and_dep_kids full_time_employment unemployed retiremen
> t i.state h1 hi_under55 Y2012 Y2015 Y2018
(running ologit on estimation sample)
Survey: Ordered logistic regression
Number of strata = 1 Number of obs = 14,221
Number of PSUs = 14,221 Population size = 13,787.025
Design df = 14,220
F(75, 14146) = .
Prob > F = .
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| Linearized
satisfact_fin_con | Coefficient std. err. t P>|t| [95% conf. interval]
------------------------------------------------------+----------------------------------------------------------------
mcaid_exp | .1646864 .1034007 1.59 0.111 -.0379924 .3673652
eng_d | -.0615908 .159987 -0.38 0.700 -.3751862 .2520047
eng_d_mexp | -.0904735 .1796805 -0.50 0.615 -.4426709 .2617238
gender | -.1703788 .0374672 -4.55 0.000 -.2438193 -.0969382
|
ethnicity |
Black non-Hispanic | -.2072806 .0694167 -2.99 0.003 -.3433465 -.0712147
Hispanic any race | .1789224 .0930218 1.92 0.054 -.0034126 .3612574
Asian non-Hispanic | -.0258495 .1193996 -0.22 0.829 -.2598883 .2081893
Other non-Hispanic (American Indian, Other, 2+ et..) | -.3363047 .1096566 -3.07 0.002 -.551246 -.1213635
|
education |
HS Grad | .2893673 .1314109 2.20 0.028 .0317848 .5469497
Some College | .132868 .1304964 1.02 0.309 -.1229221 .3886581
College Grad | .2768922 .1345936 2.06 0.040 .0130712 .5407133
Graduate Degree | .3131309 .1382932 2.26 0.024 .0420582 .5842037
|
income2012 | .000023 2.03e-06 11.34 0.000 .000019 .0000269
|
c.income2012#c.income2012 | -4.62e-11 8.22e-12 -5.62 0.000 -6.23e-11 -3.01e-11
|
income2015 | .0000285 2.15e-06 13.27 0.000 .0000243 .0000327
|
c.income2015#c.income2015 | -7.30e-11 9.29e-12 -7.85 0.000 -9.12e-11 -5.48e-11
|
income2018 | .0000307 2.29e-06 13.39 0.000 .0000262 .0000351
|
c.income2018#c.income2018 | -7.55e-11 1.01e-11 -7.50 0.000 -9.53e-11 -5.58e-11
|
living_arr_and_dep_kids |
1 adult and kid(s) | .087429 .138907 0.63 0.529 -.1848469 .3597049
multiple adults 0 kids | -.1008708 .0517836 -1.95 0.051 -.2023734 .0006318
multiple adults and kid(s) | -.4064206 .0641402 -6.34 0.000 -.5321439 -.2806974
|
full_time_employment | -.0373899 .0474741 -0.79 0.431 -.1304452 .0556655
unemployed | -.5802745 .0823599 -7.05 0.000 -.7417108 -.4188382
retirement | .6634571 .0480713 13.80 0.000 .569231 .7576831
|
state |
Alaska | .1538897 .1760655 0.87 0.382 -.1912216 .4990011
Arizona | .1245345 .1930407 0.65 0.519 -.2538505 .5029195
Arkansas | -.2068757 .1744907 -1.19 0.236 -.5489002 .1351489
California | -.0172462 .1913838 -0.09 0.928 -.3923835 .3578911
Colorado | -.1777846 .1807532 -0.98 0.325 -.5320844 .1765152
Connecticut | -.1672435 .196774 -0.85 0.395 -.5529464 .2184593
Delaware | -.1971523 .1927451 -1.02 0.306 -.5749579 .1806534
District of Columbia | .1646567 .2132393 0.77 0.440 -.2533203 .5826337
Florida | .0692714 .1685594 0.41 0.681 -.2611271 .3996699
Georgia | -.1744549 .1670467 -1.04 0.296 -.5018883 .1529784
Hawaii | -.0304913 .2121641 -0.14 0.886 -.4463607 .3853781
Idaho | .2478786 .1989769 1.25 0.213 -.1421422 .6378994
Illinois | -.2319925 .1820535 -1.27 0.203 -.5888411 .1248562
Indiana | .2669032 .1806815 1.48 0.140 -.0872561 .6210625
Iowa | .2057265 .1849483 1.11 0.266 -.1567965 .5682494
Kansas | -.1776296 .1708918 -1.04 0.299 -.5125999 .1573407
Kentucky | .1653678 .1799308 0.92 0.358 -.1873202 .5180557
Louisiana | -.1946951 .1729925 -1.13 0.260 -.5337829 .1443927
Maine | .0247627 .1701336 0.15 0.884 -.3087214 .3582468
Maryland | -.3649838 .1906788 -1.91 0.056 -.7387392 .0087716
Massachusetts | -.1235645 .1991212 -0.62 0.535 -.5138682 .2667391
Michigan | .2547052 .1898303 1.34 0.180 -.117387 .6267973
Minnesota | .0610862 .1978241 0.31 0.757 -.3266749 .4488473
Mississippi | -.0527727 .1631322 -0.32 0.746 -.3725332 .2669878
Missouri | .1649411 .1774707 0.93 0.353 -.1829246 .5128069
Montana | .2149899 .1628347 1.32 0.187 -.1041875 .5341673
Nebraska | .2146402 .1744895 1.23 0.219 -.127382 .5566624
Nevada | .1408843 .177398 0.79 0.427 -.206839 .4886076
New Hampshire | .1156075 .1859118 0.62 0.534 -.2488041 .480019
New Jersey | -.3679061 .1867893 -1.97 0.049 -.7340376 -.0017746
New Mexico | .0306712 .1895149 0.16 0.871 -.3408028 .4021451
New York | .0323792 .187452 0.17 0.863 -.3350512 .3998096
North Carolina | .0651057 .1677474 0.39 0.698 -.2637011 .3939126
North Dakota | .1516464 .178594 0.85 0.396 -.1984212 .501714
Ohio | .0250083 .1848407 0.14 0.892 -.3373037 .3873202
Oklahoma | .0063428 .1657666 0.04 0.969 -.3185814 .331267
Oregon | .0246889 .1664366 0.15 0.882 -.3015486 .3509263
Pennsylvania | -.2375424 .1765484 -1.35 0.178 -.5836004 .1085155
Rhode Island | .0370566 .1809652 0.20 0.838 -.3176589 .391772
South Carolina | -.0746881 .1667144 -0.45 0.654 -.4014701 .2520938
South Dakota | .3004683 .1699385 1.77 0.077 -.0326333 .6335699
Tennessee | .1044944 .1737673 0.60 0.548 -.2361123 .4451011
Texas | -.0364918 .1742135 -0.21 0.834 -.3779731 .3049895
Utah | .1578976 .1832772 0.86 0.389 -.2013496 .5171449
Vermont | .1289547 .1882139 0.69 0.493 -.2399691 .4978786
Virginia | -.1747913 .1764976 -0.99 0.322 -.5207497 .1711672
Washington | .0195483 .169052 0.12 0.908 -.3118158 .3509124
West Virginia | -.0328476 .1762213 -0.19 0.852 -.3782645 .3125693
Wisconsin | -.0327713 .1753222 -0.19 0.852 -.3764257 .3108831
Wyoming | .172028 .1554212 1.11 0.268 -.1326179 .4766738
|
h1 | -.4917407 .0686699 -7.16 0.000 -.6263427 -.3571387
hi_under55 | .4188247 .5985703 0.70 0.484 -.7544513 1.592101
Y2012 | -.112137 .1479055 -0.76 0.448 -.4020511 .1777772
Y2015 | .0166794 .1310208 0.13 0.899 -.2401386 .2734974
Y2018 | 0 (omitted)
------------------------------------------------------+----------------------------------------------------------------
/cut1 | -.2341094 .7699423 -1.743297 1.275078
/cut2 | 1.196162 .7701736 -.3134793 2.705803
/cut3 | 3.500011 .771525 1.987722 5.012301
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