-------------------------------------------------------------------------------------------------------------------------------------------------- name: log: G:\VOTER analysis - anthem protests.log log type: text opened on: 3 Oct 2022, 12:30:54 . use "D:\OneDrive - IL State University\1-research\3 datasets\VOTER-Survey-Panel-Data-Files-2021Dec\VOTER Panel Data Files\voter_panel.dta" . do "C:\Users\ljzig\AppData\Local\Temp\STD67e0_000000.tmp" . . codebook weight_genpop_2017 -------------------------------------------------------------------------------------------------------------------------------------------------- weight_genpop_2017 All respondents - see user guide for usage -------------------------------------------------------------------------------------------------------------------------------------------------- type: numeric (double) range: [.03142938,11.242735] units: 1.000e-11 unique values: 756 missing .: 7,517/12,517 mean: 1 std. dev: 1.93874 percentiles: 10% 25% 50% 75% 90% .206417 .326285 .473289 .772626 1.51707 . . gen FTcold6 = 4 if weight_genpop_2017!=. (7,517 missing values generated) . replace FTcold6 = 3 if ft_white_2017==ft_black_2017 & (ft_white_2017>=0 & ft_white_2017<=100 > ) & (ft_black_2017>=0 & ft_black_2017<=100) (1,119 real changes made) . replace FTcold6 = 2 if ft_white_2017 < ft_black_2017 & (ft_white_2017>=0 & ft_white_2017<=100 > ) & (ft_black_2017>=0 & ft_black_2017<=100) (1,881 real changes made) . replace FTcold6 = 5 if ft_white_2017 > ft_black_2017 & (ft_white_2017>=0 & ft_white_2017<=100 > ) & (ft_black_2017>=0 & ft_black_2017<=100) (2,728 real changes made) . replace FTcold6 = 1 if ft_white_2017>=0 & ft_white_2017<50 & ft_black_2017>=50 & ft_black_2017<=100 & (ft_white_2017>=0 & ft_white_2017<=100) & > (ft_black_2017>=0 & ft_black_2017<=100) (285 real changes made) . replace FTcold6 = 6 if ft_white_2017>=50 & ft_white_2017<=100 & ft_black_2017>=0 & ft_black_2017<50 & (ft_white_2017>=0 & ft_white_2017<=100) & > (ft_black_2017>=0 & ft_black_2017<=100) (672 real changes made) . label define FTcold6 1 "Cold only to Whites [1]" 2 "Residual colder to Whites [2]" 3 "Rated Whites equal to Blacks [3]" 4 "Did not rate Whites a > nd/or Blacks [4]" 5 "Residual colder to Blacks [5]" 6 "Cold only to Blacks [6]" . label values FTcold6 FTcold6 . tab FTcold6 FTcold6 | Freq. Percent Cum. --------------------------------------+----------------------------------- Cold only to Whites [1] | 285 4.81 4.81 Residual colder to Whites [2] | 1,596 26.96 31.77 Rated Whites equal to Blacks [3] | 1,119 18.90 50.68 Did not rate Whites and/or Blacks [4] | 192 3.24 53.92 Residual colder to Blacks [5] | 2,056 34.73 88.65 Cold only to Blacks [6] | 672 11.35 100.00 --------------------------------------+----------------------------------- Total | 5,920 100.00 . . gen FTcold6bw = 4 if weight_genpop_2017!=. (7,517 missing values generated) . recode FTcold6bw (4=3) if ft_white_2017 == ft_black_2017 & (ft_white_2017>=0 & ft_white_2017<=1 > 00) & (ft_black_2017>=0 & ft_black_2017<=100) (FTcold6bw: 956 changes made) . recode FTcold6bw (4=2) if ft_white_2017 < ft_black_2017 & (ft_white_2017>=0 & ft_white_2017<=1 > 00) & (ft_black_2017>=0 & ft_black_2017<=100) (FTcold6bw: 1589 changes made) . recode FTcold6bw (4=5) if ft_white_2017 > ft_black_2017 & (ft_white_2017>=0 & ft_white_2017<=1 > 00) & (ft_black_2017>=0 & ft_black_2017<=100) (FTcold6bw: 2263 changes made) . recode FTcold6bw (2=1) if ft_white_2017>=0 & ft_white_2017<50 & ft_black_2017>=50 & ft_black_2017<=100 & (ft_white_2017>=0 & ft_white_2017<=1 > 00) & (ft_black_2017>=0 & ft_black_2017<=100) (FTcold6bw: 247 changes made) . recode FTcold6bw (5=6) if ft_white_2017>=50 & ft_white_2017<=100 & ft_black_2017>=0 & ft_black_2017<50 & (ft_white_2017>=0 & ft_white_2017<=1 > 00) & (ft_black_2017>=0 & ft_black_2017<=100) (FTcold6bw: 555 changes made) . label define FTcold6bw 1 "Cold only to Whites [1]" 2 "Residual colder to Whites [2]" 3 "Rated Whites equal to Blacks [3]" 4 "Did not rate Whites > and/or Blacks [4]" 5 "Residual colder to Blacks [5]" 6 "Cold only to Blacks [6]" . label values FTcold6bw FTcold6bw . tab FTcold6bw FTcold6bw | Freq. Percent Cum. --------------------------------------+----------------------------------- Cold only to Whites [1] | 247 4.94 4.94 Residual colder to Whites [2] | 1,342 26.84 31.78 Rated Whites equal to Blacks [3] | 956 19.12 50.90 Did not rate Whites and/or Blacks [4] | 192 3.84 54.74 Residual colder to Blacks [5] | 1,708 34.16 88.90 Cold only to Blacks [6] | 555 11.10 100.00 --------------------------------------+----------------------------------- Total | 5,000 100.00 . . codebook anthem_2018 -------------------------------------------------------------------------------------------------------------------------------------------------- anthem_2018 Approve of athletes protesting by kneeling during national anthem -------------------------------------------------------------------------------------------------------------------------------------------------- type: numeric (byte) label: anthem_2018 range: [1,98] units: 1 unique values: 6 missing .: 6,512/12,517 tabulation: Freq. Numeric Label 1,517 1 Strongly approve 796 2 Somewhat approve 624 3 Somewhat disapprove 2,543 4 Strongly disapprove 492 8 Don't know 33 98 Skipped 6,512 . . recode anthem_2018 (1 2 8 98=0) (3 4=1), gen(anthemDIS) (6005 differences between anthem_2018 and anthemDIS) . tab anthem_2018 anthemDIS, mi Approve of athletes | RECODE of anthem_2018 (Approve protesting by | of athletes protesting by kneeling during | kneeling during nation national anthem | 0 1 . | Total --------------------+---------------------------------+---------- Strongly approve | 1,517 0 0 | 1,517 Somewhat approve | 796 0 0 | 796 Somewhat disapprove | 0 624 0 | 624 Strongly disapprove | 0 2,543 0 | 2,543 Don't know | 492 0 0 | 492 Skipped | 33 0 0 | 33 . | 0 0 6,512 | 6,512 --------------------+---------------------------------+---------- Total | 2,838 3,167 6,512 | 12,517 . recode anthem_2018 (3 4 8 98=0) (1 2=1), gen(anthemAPP) (4488 differences between anthem_2018 and anthemAPP) . tab anthem_2018 anthemAPP, mi Approve of athletes | RECODE of anthem_2018 (Approve protesting by | of athletes protesting by kneeling during | kneeling during nation national anthem | 0 1 . | Total --------------------+---------------------------------+---------- Strongly approve | 0 1,517 0 | 1,517 Somewhat approve | 0 796 0 | 796 Somewhat disapprove | 624 0 0 | 624 Strongly disapprove | 2,543 0 0 | 2,543 Don't know | 492 0 0 | 492 Skipped | 33 0 0 | 33 . | 0 0 6,512 | 6,512 --------------------+---------------------------------+---------- Total | 3,692 2,313 6,512 | 12,517 . . svyset [pw=weight_genpop_2018] pweight: weight_genpop_2018 VCE: linearized Single unit: missing Strata 1: SU 1: FPC 1: . . svy: reg anthemAPP ib3.FTcold6 (running regress on estimation sample) Survey: Linear regression Number of strata = 1 Number of obs = 4,617 Number of PSUs = 4,617 Population size = 4,142.3363 Design df = 4,616 F( 5, 4612) = 161.10 Prob > F = 0.0000 R-squared = 0.2083 -------------------------------------------------------------------------------------------------------- | Linearized anthemAPP | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------------------------------+---------------------------------------------------------------- FTcold6 | Cold only to Whites [1] | .4570011 .0410653 11.13 0.000 .3764936 .5375087 Residual colder to Whites [2] | .2434596 .0313617 7.76 0.000 .1819756 .3049436 Did not rate Whites and/or Blacks [4] | -.0551627 .0620381 -0.89 0.374 -.1767871 .0664617 Residual colder to Blacks [5] | -.1697733 .0278703 -6.09 0.000 -.2244124 -.1151341 Cold only to Blacks [6] | -.3003784 .0279649 -10.74 0.000 -.355203 -.2455538 | _cons | .3834429 .0240308 15.96 0.000 .3363311 .4305547 -------------------------------------------------------------------------------------------------------- . svy: reg anthemAPP ib3.FTcold6 i.race_2018 (running regress on estimation sample) Survey: Linear regression Number of strata = 1 Number of obs = 4,617 Number of PSUs = 4,617 Population size = 4,142.3363 Design df = 4,616 F( 12, 4605) = 75.27 Prob > F = 0.0000 R-squared = 0.2513 -------------------------------------------------------------------------------------------------------- | Linearized anthemAPP | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------------------------------+---------------------------------------------------------------- FTcold6 | Cold only to Whites [1] | .38076 .0433563 8.78 0.000 .2957609 .4657591 Residual colder to Whites [2] | .196345 .0320734 6.12 0.000 .1334657 .2592242 Did not rate Whites and/or Blacks [4] | -.0686088 .056572 -1.21 0.225 -.1795169 .0422993 Residual colder to Blacks [5] | -.1536976 .028038 -5.48 0.000 -.2086655 -.0987297 Cold only to Blacks [6] | -.2720011 .0282994 -9.61 0.000 -.3274814 -.2165207 | race_2018 | Black | .2779775 .0388086 7.16 0.000 .2018941 .3540608 Hispanic | .0154308 .0467864 0.33 0.742 -.0762929 .1071544 Asian | .3365135 .0697915 4.82 0.000 .1996889 .4733381 Native American | -.160515 .0535034 -3.00 0.003 -.2654073 -.0556227 Mixed | .0976485 .0666793 1.46 0.143 -.0330747 .2283717 Other | .0116387 .0785154 0.15 0.882 -.142289 .1655663 Middle Eastern | .5353831 .2196751 2.44 0.015 .1047148 .9660514 | _cons | .3471098 .0248261 13.98 0.000 .2984387 .3957809 -------------------------------------------------------------------------------------------------------- . svy: reg anthemAPP ib3.FTcold6 i.race_2018 i.gender_2018 i.birthyr_2018 i.educ_2018 i.marstat_2018 i.employ_2018 i.faminc_2018 (running regress on estimation sample) Survey: Linear regression Number of strata = 1 Number of obs = 4,617 Number of PSUs = 4,617 Population size = 4,142.3363 Design df = 4,616 F( 115, 4502) = . Prob > F = . R-squared = 0.3200 -------------------------------------------------------------------------------------------------------- | Linearized anthemAPP | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------------------------------+---------------------------------------------------------------- FTcold6 | Cold only to Whites [1] | .3357166 .0415706 8.08 0.000 .2542183 .4172149 Residual colder to Whites [2] | .2027159 .0281814 7.19 0.000 .1474668 .2579651 Did not rate Whites and/or Blacks [4] | -.0720402 .0488433 -1.47 0.140 -.1677964 .0237159 Residual colder to Blacks [5] | -.1281818 .0248744 -5.15 0.000 -.1769475 -.0794162 Cold only to Blacks [6] | -.2588619 .0267439 -9.68 0.000 -.3112928 -.2064311 | race_2018 | Black | .296507 .0348282 8.51 0.000 .2282271 .3647869 Hispanic | .0482294 .0415386 1.16 0.246 -.0332061 .1296649 Asian | .2259231 .0642765 3.51 0.000 .0999104 .3519357 Native American | -.1209952 .054688 -2.21 0.027 -.2282098 -.0137805 Mixed | .0679903 .0577688 1.18 0.239 -.0452641 .1812448 Other | .0137387 .0708924 0.19 0.846 -.1252444 .1527218 Middle Eastern | .4101453 .1790489 2.29 0.022 .0591238 .7611667 | gender_2018 | Female | .0315542 .0168432 1.87 0.061 -.0014666 .0645749 | birthyr_2018 | 1927 | .1221147 .1678544 0.73 0.467 -.2069603 .4511896 1928 | .4108416 .1811109 2.27 0.023 .0557777 .7659055 1929 | .4268795 .228532 1.87 0.062 -.0211524 .8749115 1930 | .4240828 .2418543 1.75 0.080 -.0500673 .8982329 1931 | .2105958 .1714349 1.23 0.219 -.1254985 .5466901 1932 | .3039993 .1749381 1.74 0.082 -.0389629 .6469615 1933 | .1739685 .1814342 0.96 0.338 -.1817293 .5296662 1934 | .4372158 .1712011 2.55 0.011 .1015797 .7728519 1935 | .2685128 .1662203 1.62 0.106 -.0573584 .5943841 1936 | .4167711 .1641568 2.54 0.011 .0949453 .7385968 1937 | .3743652 .1647432 2.27 0.023 .0513897 .6973407 1938 | .4513126 .1642813 2.75 0.006 .1292428 .7733824 1939 | .2303147 .1617242 1.42 0.154 -.086742 .5473713 1940 | .3384068 .1600696 2.11 0.035 .0245939 .6522198 1941 | .408105 .1604851 2.54 0.011 .0934775 .7227326 1942 | .3784387 .1589296 2.38 0.017 .0668608 .6900166 1943 | .3450664 .1645956 2.10 0.036 .0223802 .6677525 1944 | .3607477 .163079 2.21 0.027 .0410349 .6804604 1945 | .4276277 .1613918 2.65 0.008 .1112227 .7440328 1946 | .3531052 .1561406 2.26 0.024 .046995 .6592154 1947 | .4277819 .1587055 2.70 0.007 .1166432 .7389205 1948 | .3312954 .1552117 2.13 0.033 .0270064 .6355845 1949 | .3634384 .1556122 2.34 0.020 .0583641 .6685127 1950 | .4154463 .1575719 2.64 0.008 .1065301 .7243624 1951 | .2742197 .1581441 1.73 0.083 -.0358183 .5842576 1952 | .3162876 .1560987 2.03 0.043 .0102596 .6223156 1953 | .3424974 .1555404 2.20 0.028 .0375639 .6474309 1954 | .4020248 .1558101 2.58 0.010 .0965624 .7074871 1955 | .399904 .1568098 2.55 0.011 .0924818 .7073263 1956 | .36297 .1558173 2.33 0.020 .0574936 .6684464 1957 | .3698868 .1557245 2.38 0.018 .0645924 .6751813 1958 | .3805416 .1562932 2.43 0.015 .0741322 .6869511 1959 | .3233609 .1556282 2.08 0.038 .0182552 .6284665 1960 | .3170229 .1561586 2.03 0.042 .0108773 .6231685 1961 | .3342379 .1581107 2.11 0.035 .0242654 .6442104 1962 | .2989428 .1571581 1.90 0.057 -.0091622 .6070478 1963 | .3963803 .1588644 2.50 0.013 .0849302 .7078304 1964 | .3250518 .1566681 2.07 0.038 .0179073 .6321962 1965 | .3383239 .1589719 2.13 0.033 .026663 .6499849 1966 | .3617947 .1577217 2.29 0.022 .0525847 .6710047 1967 | .2912726 .1681001 1.73 0.083 -.038284 .6208292 1968 | .3826271 .1609969 2.38 0.018 .0669963 .698258 1969 | .3583958 .1662309 2.16 0.031 .0325037 .6842878 1970 | .3492654 .1586013 2.20 0.028 .038331 .6601999 1971 | .4401237 .1583297 2.78 0.005 .1297217 .7505257 1972 | .3439248 .1702486 2.02 0.043 .0101561 .6776935 1973 | .3570485 .169206 2.11 0.035 .0253239 .6887732 1974 | .3894171 .1713275 2.27 0.023 .0535333 .725301 1975 | .2447616 .1599936 1.53 0.126 -.0689024 .5584255 1976 | .5401519 .1689861 3.20 0.001 .2088582 .8714455 1977 | .3698385 .1753326 2.11 0.035 .0261027 .7135742 1978 | .4401489 .1713408 2.57 0.010 .1042391 .7760587 1979 | .5477263 .1688927 3.24 0.001 .2166159 .8788367 1980 | .5261617 .1804276 2.92 0.004 .1724373 .8798861 1981 | .5372681 .1783418 3.01 0.003 .1876331 .8869032 1982 | .593964 .1799658 3.30 0.001 .241145 .946783 1983 | .6712163 .1776066 3.78 0.000 .3230224 1.01941 1984 | .3664153 .170485 2.15 0.032 .0321833 .7006473 1985 | .5872584 .1754381 3.35 0.001 .2433158 .931201 1986 | .3570174 .1924179 1.86 0.064 -.0202137 .7342484 1987 | .4855363 .1715672 2.83 0.005 .1491826 .82189 1988 | .5668281 .1765706 3.21 0.001 .2206654 .9129908 1989 | .4108107 .1795615 2.29 0.022 .0587843 .7628371 1990 | .5173837 .1914153 2.70 0.007 .1421182 .8926492 1991 | .3566326 .2974718 1.20 0.231 -.2265543 .9398196 1992 | .5596379 .2483052 2.25 0.024 .072841 1.046435 1993 | .3948126 .4722269 0.84 0.403 -.5309779 1.320603 1995 | -.3146107 .1674156 -1.88 0.060 -.6428252 .0136038 | educ_2018 | High school graduate | .0249374 .0479477 0.52 0.603 -.0690629 .1189378 Some college | .0672965 .0484267 1.39 0.165 -.027643 .162236 2-year | .0698456 .0516782 1.35 0.177 -.0314685 .1711597 4-year | .1171663 .0491805 2.38 0.017 .0207491 .2135835 Post-grad | .1461491 .0511214 2.86 0.004 .0459267 .2463715 | marstat_2018 | Separated | -.0508147 .0531005 -0.96 0.339 -.154917 .0532876 Divorced | .0374152 .023104 1.62 0.105 -.0078796 .0827101 Widowed | .0371217 .027262 1.36 0.173 -.0163248 .0905682 Never married | .0845046 .0253052 3.34 0.001 .0348944 .1341149 Domestic / civil partnership | .0430184 .0673144 0.64 0.523 -.08895 .1749869 | employ_2018 | Part-time | -.0389648 .0284905 -1.37 0.171 -.0948198 .0168903 Temporarily laid off | -.2894352 .1659848 -1.74 0.081 -.6148447 .0359743 Unemployed | -.1206338 .057192 -2.11 0.035 -.2327575 -.00851 Retired | .0169301 .0221682 0.76 0.445 -.0265301 .0603904 Permanently disabled | .0512583 .0370423 1.38 0.166 -.0213624 .123879 Homemaker | -.0007446 .0427066 -0.02 0.986 -.0844699 .0829807 Student | .0891787 .0889806 1.00 0.316 -.0852659 .2636233 Other | .0288813 .0460345 0.63 0.530 -.0613683 .119131 | faminc_2018 | $10,000 - $19,999 | .0274171 .0731856 0.37 0.708 -.1160617 .1708958 $20,000 - $29,999 | .0327491 .068306 0.48 0.632 -.1011633 .1666616 $30,000 - $39,999 | .0735984 .0678567 1.08 0.278 -.0594331 .2066299 $40,000 - $49,999 | .0750068 .0684201 1.10 0.273 -.0591293 .2091428 $50,000 - $59,999 | .0569592 .0717902 0.79 0.428 -.083784 .1977024 $60,000 - $69,999 | .1062461 .0686713 1.55 0.122 -.0283825 .2408747 $70,000 - $79,999 | .0363476 .0725761 0.50 0.617 -.1059362 .1786315 $80,000 - $99,999 | .0901871 .0705628 1.28 0.201 -.0481498 .228524 $100,000 - $119,999 | .0646659 .0722883 0.89 0.371 -.0770537 .2063855 $120,000 - $149,999 | .0578456 .0733135 0.79 0.430 -.0858839 .2015751 $150,000 - $199,999 | .1505817 .0755428 1.99 0.046 .0024818 .2986817 $200,000 - $249,999 | .204631 .082667 2.48 0.013 .0425641 .3666978 $250,000 - $349,999 | .2000243 .1152691 1.74 0.083 -.0259583 .4260068 $350,000 - $499,999 | -.0003395 .1230038 -0.00 0.998 -.2414858 .2408068 $500,000 or more | .0438267 .1105719 0.40 0.692 -.172947 .2606004 Prefer not to say | .0371139 .0684339 0.54 0.588 -.0970493 .171277 Skipped | -.2586718 .0803187 -3.22 0.001 -.4161347 -.1012088 | _cons | -.2313649 .1759858 -1.31 0.189 -.5763812 .1136514 -------------------------------------------------------------------------------------------------------- . svy: reg anthemAPP ib3.FTcold6 i.race_2018 i.gender_2018 i.birthyr_2018 i.educ_2018 i.marstat_2018 i.employ_2018 i.faminc_2018 i.pid7_2018 i.ide > o5_2018 (running regress on estimation sample) Survey: Linear regression Number of strata = 1 Number of obs = 4,617 Number of PSUs = 4,617 Population size = 4,142.3363 Design df = 4,616 F( 127, 4490) = . Prob > F = . R-squared = 0.5714 -------------------------------------------------------------------------------------------------------- | Linearized anthemAPP | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------------------------------+---------------------------------------------------------------- FTcold6 | Cold only to Whites [1] | .1641209 .0357739 4.59 0.000 .093987 .2342548 Residual colder to Whites [2] | .0870015 .0226572 3.84 0.000 .0425826 .1314204 Did not rate Whites and/or Blacks [4] | -.036125 .0409389 -0.88 0.378 -.1163848 .0441348 Residual colder to Blacks [5] | -.0456147 .0187046 -2.44 0.015 -.0822846 -.0089448 Cold only to Blacks [6] | -.1264428 .0213685 -5.92 0.000 -.1683352 -.0845504 | race_2018 | Black | .1994953 .0335744 5.94 0.000 .1336734 .2653173 Hispanic | -.0017731 .0316937 -0.06 0.955 -.0639079 .0603617 Asian | .1424139 .0526797 2.70 0.007 .0391365 .2456913 Native American | -.131785 .0532621 -2.47 0.013 -.2362041 -.0273659 Mixed | .0801242 .0438352 1.83 0.068 -.0058138 .1660622 Other | .0395068 .0546414 0.72 0.470 -.0676165 .1466301 Middle Eastern | .2893603 .0983526 2.94 0.003 .0965422 .4821785 | gender_2018 | Female | -.022219 .0140606 -1.58 0.114 -.0497844 .0053465 | birthyr_2018 | 1927 | -.2899848 .2002918 -1.45 0.148 -.6826525 .1026828 1928 | .0407049 .1120937 0.36 0.717 -.1790524 .2604621 1929 | -.1152723 .1735409 -0.66 0.507 -.4554955 .2249509 1930 | .0861879 .1362551 0.63 0.527 -.1809372 .353313 1931 | -.0137956 .1069346 -0.13 0.897 -.2234386 .1958474 1932 | .0922701 .0987038 0.93 0.350 -.1012364 .2857767 1933 | -.1346096 .1563143 -0.86 0.389 -.4410604 .1718412 1934 | .1381762 .100267 1.38 0.168 -.0583951 .3347475 1935 | .0142667 .0928869 0.15 0.878 -.167836 .1963695 1936 | .0661042 .0918368 0.72 0.472 -.1139398 .2461481 1937 | .0711483 .0899136 0.79 0.429 -.1051253 .247422 1938 | .140848 .0961128 1.47 0.143 -.0475791 .3292751 1939 | -.0971413 .0955532 -1.02 0.309 -.2844712 .0901886 1940 | .0450863 .0859634 0.52 0.600 -.123443 .2136156 1941 | .098704 .0864627 1.14 0.254 -.0708042 .2682123 1942 | .0296507 .0852116 0.35 0.728 -.1374047 .1967062 1943 | .0479622 .0905457 0.53 0.596 -.1295508 .2254751 1944 | .0177273 .0926374 0.19 0.848 -.1638863 .1993408 1945 | .0635552 .0935236 0.68 0.497 -.1197957 .2469062 1946 | .0528226 .0837245 0.63 0.528 -.1113174 .2169627 1947 | .0567277 .087468 0.65 0.517 -.1147514 .2282067 1948 | .0158233 .0846898 0.19 0.852 -.1502091 .1818558 1949 | .0823895 .0834782 0.99 0.324 -.0812678 .2460467 1950 | .1010107 .0882458 1.14 0.252 -.0719933 .2740146 1951 | -.0139528 .0851589 -0.16 0.870 -.1809049 .1529993 1952 | .0470634 .0823539 0.57 0.568 -.1143896 .2085164 1953 | .0724552 .0850817 0.85 0.394 -.0943455 .239256 1954 | .0980337 .0835183 1.17 0.241 -.0657021 .2617695 1955 | .0608424 .0851864 0.71 0.475 -.1061636 .2278485 1956 | .0950618 .0835949 1.14 0.256 -.0688241 .2589477 1957 | .0626407 .0843728 0.74 0.458 -.1027702 .2280517 1958 | .0454171 .0834345 0.54 0.586 -.1181544 .2089886 1959 | .0297125 .084887 0.35 0.726 -.1367067 .1961316 1960 | .016129 .0860949 0.19 0.851 -.1526581 .184916 1961 | .0740125 .0870351 0.85 0.395 -.0966178 .2446429 1962 | .0198058 .0855453 0.23 0.817 -.1479039 .1875156 1963 | .1126988 .0885261 1.27 0.203 -.0608547 .2862523 1964 | .0240648 .0841202 0.29 0.775 -.1408511 .1889807 1965 | .0448805 .0864653 0.52 0.604 -.1246328 .2143939 1966 | .0456274 .0851884 0.54 0.592 -.1213827 .2126375 1967 | .0328559 .093392 0.35 0.725 -.1502371 .215949 1968 | .0775303 .0922444 0.84 0.401 -.1033128 .2583734 1969 | .1232059 .0931757 1.32 0.186 -.0594631 .3058748 1970 | .0534574 .0865241 0.62 0.537 -.1161712 .2230859 1971 | .0902463 .0866163 1.04 0.298 -.0795631 .2600557 1972 | .0176729 .107553 0.16 0.869 -.1931823 .2285281 1973 | .074854 .1053952 0.71 0.478 -.131771 .281479 1974 | .1204396 .1119606 1.08 0.282 -.0990568 .3399359 1975 | -.1299831 .1078668 -1.21 0.228 -.3414537 .0814875 1976 | .1753502 .0939274 1.87 0.062 -.0087925 .3594929 1977 | .0784048 .0986528 0.79 0.427 -.1150017 .2718114 1978 | .0667935 .1024828 0.65 0.515 -.1341218 .2677087 1979 | .1801079 .1013469 1.78 0.076 -.0185805 .3787962 1980 | .1315379 .0959457 1.37 0.170 -.0565615 .3196373 1981 | .1468575 .0972303 1.51 0.131 -.0437604 .3374754 1982 | .2194292 .1033086 2.12 0.034 .0168949 .4219635 1983 | .2483585 .1046048 2.37 0.018 .0432832 .4534339 1984 | .0233362 .0963156 0.24 0.809 -.1654885 .2121609 1985 | .1976402 .0948484 2.08 0.037 .011692 .3835884 1986 | -.0433583 .125633 -0.35 0.730 -.289659 .2029424 1987 | -.0665415 .1083885 -0.61 0.539 -.2790348 .1459518 1988 | .169967 .1194277 1.42 0.155 -.0641684 .4041023 1989 | .1623608 .124976 1.30 0.194 -.082652 .4073736 1990 | .1056633 .121841 0.87 0.386 -.1332033 .3445299 1991 | .2081072 .1898364 1.10 0.273 -.1640629 .5802773 1992 | .3914248 .2646184 1.48 0.139 -.1273537 .9102034 1993 | .16681 .2438413 0.68 0.494 -.3112356 .6448555 1995 | -.3477698 .0958496 -3.63 0.000 -.5356807 -.1598588 | educ_2018 | High school graduate | -.0078809 .0418541 -0.19 0.851 -.0899348 .074173 Some college | .0083614 .0423943 0.20 0.844 -.0747518 .0914746 2-year | .025382 .0443571 0.57 0.567 -.0615791 .1123431 4-year | .0441287 .042557 1.04 0.300 -.0393035 .1275608 Post-grad | .0612969 .0438854 1.40 0.163 -.0247395 .1473334 | marstat_2018 | Separated | -.0636021 .0536689 -1.19 0.236 -.1688189 .0416146 Divorced | .0040136 .0184797 0.22 0.828 -.0322155 .0402426 Widowed | .0090267 .0218964 0.41 0.680 -.0339007 .0519542 Never married | .0164716 .0218805 0.75 0.452 -.0264247 .0593679 Domestic / civil partnership | -.0201386 .067238 -0.30 0.765 -.1519573 .11168 | employ_2018 | Part-time | -.041836 .0258651 -1.62 0.106 -.0925441 .008872 Temporarily laid off | -.1889263 .132764 -1.42 0.155 -.4492072 .0713546 Unemployed | -.1318382 .0526131 -2.51 0.012 -.234985 -.0286914 Retired | .0012553 .0180821 0.07 0.945 -.0341942 .0367048 Permanently disabled | .0253427 .0274368 0.92 0.356 -.0284466 .079132 Homemaker | -.0038725 .0282743 -0.14 0.891 -.0593038 .0515587 Student | .113999 .0863865 1.32 0.187 -.0553598 .2833577 Other | .0476286 .0301929 1.58 0.115 -.011564 .1068211 | faminc_2018 | $10,000 - $19,999 | -.0110508 .0603975 -0.18 0.855 -.1294588 .1073573 $20,000 - $29,999 | .0155977 .0563907 0.28 0.782 -.094955 .1261504 $30,000 - $39,999 | .0527137 .0535693 0.98 0.325 -.0523076 .1577351 $40,000 - $49,999 | .0629232 .0532943 1.18 0.238 -.0415592 .1674055 $50,000 - $59,999 | -.0035126 .0568953 -0.06 0.951 -.1150547 .1080294 $60,000 - $69,999 | .0580674 .0543836 1.07 0.286 -.0485505 .1646852 $70,000 - $79,999 | .022917 .056043 0.41 0.683 -.0869541 .1327881 $80,000 - $99,999 | .069296 .0538275 1.29 0.198 -.0362317 .1748236 $100,000 - $119,999 | .038189 .0566267 0.67 0.500 -.0728264 .1492043 $120,000 - $149,999 | .0550686 .0577901 0.95 0.341 -.0582277 .1683648 $150,000 - $199,999 | .1049985 .0572662 1.83 0.067 -.0072706 .2172675 $200,000 - $249,999 | .128084 .0641732 2.00 0.046 .0022738 .2538941 $250,000 - $349,999 | .1460433 .0848009 1.72 0.085 -.020207 .3122937 $350,000 - $499,999 | -.0490106 .1004296 -0.49 0.626 -.2459006 .1478793 $500,000 or more | .114909 .1459858 0.79 0.431 -.1712929 .4011109 Prefer not to say | .0494578 .0531849 0.93 0.352 -.05481 .1537255 Skipped | -.1505188 .0682489 -2.21 0.027 -.2843193 -.0167183 | pid7_2018 | Not very strong Democrat | -.1367043 .032362 -4.22 0.000 -.2001493 -.0732593 Lean Democrat | .0822593 .0257768 3.19 0.001 .0317245 .1327941 Independent | -.2570115 .0299642 -8.58 0.000 -.3157558 -.1982673 Lean Republican | -.4629191 .0281921 -16.42 0.000 -.5181891 -.4076491 Not very strong Republican | -.3900985 .0288714 -13.51 0.000 -.4467002 -.3334968 Strong Republican | -.3856995 .0309603 -12.46 0.000 -.4463966 -.3250024 Not sure | -.4875367 .0594342 -8.20 0.000 -.6040561 -.3710173 | ideo5_2018 | Liberal | -.0684432 .0303487 -2.26 0.024 -.1279411 -.0089453 Moderate | -.2147065 .0294911 -7.28 0.000 -.2725233 -.1568898 Conservative | -.3475594 .0337555 -10.30 0.000 -.4137364 -.2813824 Very conservative | -.3397152 .0371505 -9.14 0.000 -.4125479 -.2668825 Not sure | -.3520114 .0603287 -5.83 0.000 -.4702845 -.2337382 Skipped | -.6511504 .0757438 -8.60 0.000 -.7996444 -.5026564 | _cons | .6677361 .1118856 5.97 0.000 .4483869 .8870853 -------------------------------------------------------------------------------------------------------- . . svy: reg anthemAPP ib3.FTcold6 i.race_2018 (running regress on estimation sample) Survey: Linear regression Number of strata = 1 Number of obs = 4,617 Number of PSUs = 4,617 Population size = 4,142.3363 Design df = 4,616 F( 12, 4605) = 75.27 Prob > F = 0.0000 R-squared = 0.2513 -------------------------------------------------------------------------------------------------------- | Linearized anthemAPP | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------------------------------+---------------------------------------------------------------- FTcold6 | Cold only to Whites [1] | .38076 .0433563 8.78 0.000 .2957609 .4657591 Residual colder to Whites [2] | .196345 .0320734 6.12 0.000 .1334657 .2592242 Did not rate Whites and/or Blacks [4] | -.0686088 .056572 -1.21 0.225 -.1795169 .0422993 Residual colder to Blacks [5] | -.1536976 .028038 -5.48 0.000 -.2086655 -.0987297 Cold only to Blacks [6] | -.2720011 .0282994 -9.61 0.000 -.3274814 -.2165207 | race_2018 | Black | .2779775 .0388086 7.16 0.000 .2018941 .3540608 Hispanic | .0154308 .0467864 0.33 0.742 -.0762929 .1071544 Asian | .3365135 .0697915 4.82 0.000 .1996889 .4733381 Native American | -.160515 .0535034 -3.00 0.003 -.2654073 -.0556227 Mixed | .0976485 .0666793 1.46 0.143 -.0330747 .2283717 Other | .0116387 .0785154 0.15 0.882 -.142289 .1655663 Middle Eastern | .5353831 .2196751 2.44 0.015 .1047148 .9660514 | _cons | .3471098 .0248261 13.98 0.000 .2984387 .3957809 -------------------------------------------------------------------------------------------------------- . margins, atmeans at(FTcold6=(1(1)6)) noatlegend level(83.4) Adjusted predictions Number of obs = 4,617 Model VCE : Linearized Expression : Linear prediction, predict() ------------------------------------------------------------------------------ | Delta-method | Margin Std. Err. t P>|t| [83.4% Conf. Interval] -------------+---------------------------------------------------------------- _at | 1 | .7733116 .0345564 22.38 0.000 .7254376 .8211857 2 | .5888966 .0191242 30.79 0.000 .5624021 .615391 3 | .3925516 .0248879 15.77 0.000 .3580722 .427031 4 | .3239428 .0508704 6.37 0.000 .2534674 .3944182 5 | .238854 .0140685 16.98 0.000 .2193636 .2583444 6 | .1205505 .0149378 8.07 0.000 .0998559 .1412452 ------------------------------------------------------------------------------ . end of do-file . log close name: log: G:\VOTER analysis - anthem protests.log log type: text closed on: 3 Oct 2022, 12:31:58 --------------------------------------------------------------------------------------------------------------------------------------------------