------------------------------------------------------------------------------ log: c:\www\econ626\stata\card_et_al.log log type: text opened on: 26 Sep 2006, 13:52:26 . *read in raw data; . use card_et_al; . * get list of variables; . describe; Contains data from card_et_al.dta obs: 46,950 vars: 14 21 Aug 2006 08:28 size: 2,817,000 (93.3% of memory free) ------------------------------------------------------------------------------ > - storage display value variable name type format label variable label ------------------------------------------------------------------------------ > - educ_r1 float %9.0g education recode, 1=<8, 8=adv degree phstat float %9.0g self reported health, 5=excellent, 1=poor age_qtr float %9.0g age in quarters age_yrs float %9.0g age in years black float %9.0g =1 if black, =otherwise delayed_med float %9.0g has delayed medical care because of cost hispanic float %9.0g =1 if hispanic, =0 otherwise hosp_12m float %9.0g ever hospitalized past 12 months insured float %9.0g =1 if has health insurance, =0 otherwise male float %9.0g =1 if male, =0 female md_2wks float %9.0g visited doctor past 2 weeks not_get_med float %9.0g have not received care because of cost white float %9.0g =1 if white, 0=otherwise year float %9.0g year of survey ------------------------------------------------------------------------------ > - Sorted by: . * get tables of self reported health status; . tab phstat; self | reported | health, | 5=excellent | , 1=poor | Freq. Percent Cum. ------------+----------------------------------- 1 | 8,131 17.32 17.32 2 | 12,613 26.86 44.18 3 | 15,241 32.46 76.65 4 | 7,800 16.61 93.26 5 | 3,165 6.74 100.00 ------------+----------------------------------- Total | 46,950 100.00 . * generate some new variables; . gen good_health=phstat<4; . label var good_health "=1 if report,good,vgood,excel health"; . * eligible for Medicare after quarter 259; . gen age65=age_qtr>259; . * scale the age in quarters index so that it equals 0; . * in the month you become eligible for Medicare; . gen index=age_qtr-260; . gen index2=index*index; . gen index3=index*index*index; . gen index4=index2*index2; . gen index_age65=index*age65; . gen index2_age65=index2*age65; . gen index3_age65=index3*age65; . gen index4_age65=index4*age65; . xi i.educ_r1 i.year i.age_qtr; i.educ_r1 _Ieduc_r1_1-8 (naturally coded; _Ieduc_r1_1 omitted) i.year _Iyear_1998-2001 (naturally coded; _Iyear_1998 omitted) i.age_qtr _Iage_qtr_220-299 (naturally coded; _Iage_qtr_220 omitted) . * 1st stage results. Impact of Medicare on insurance coverage; . * basic results in the paper. quadratic in age interacted with; . * age65; . reg insured male white black hispanic _Ie* _Iyear* index index2 index_age65 > index2_age65 age65, cluster(index); Regression with robust standard errors Number of obs = 46950 F( 19, 79) = 189.08 Prob > F = 0.0000 R-squared = 0.0953 Number of clusters (index) = 80 Root MSE = .25994 ------------------------------------------------------------------------------ | Robust insured | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0077525 .0026721 2.90 0.005 .0024337 .0130712 white | .039912 .0074113 5.39 0.000 .0251602 .0546637 black | .004996 .0082919 0.60 0.549 -.0115087 .0215007 hispanic | .0999943 .0074106 13.49 0.000 .0852438 .1147447 _Ieduc_r1_2 | .0477623 .0079406 6.01 0.000 .031957 .0635676 _Ieduc_r1_3 | .0851812 .0100318 8.49 0.000 .0652133 .105149 _Ieduc_r1_4 | .0780332 .0113302 6.89 0.000 .0554811 .1005854 _Ieduc_r1_5 | .0970506 .0108434 8.95 0.000 .0754674 .1186338 _Ieduc_r1_6 | .101996 .0112541 9.06 0.000 .0795952 .1243968 _Ieduc_r1_7 | .1109833 .0139559 7.95 0.000 .0832049 .1387618 _Ieduc_r1_8 | .1124369 .0122111 9.21 0.000 .0881312 .1367426 _Iyear_1999 | -.000224 .0032407 -0.07 0.945 -.0066744 .0062264 _Iyear_2000 | -.0079039 .0033704 -2.35 0.022 -.0146124 -.0011953 _Iyear_2001 | -.0002411 .0031174 -0.08 0.939 -.0064461 .0059638 index | .0008314 .0006618 1.26 0.213 -.0004858 .0021486 index2 | .0000103 .0000163 0.64 0.526 -.000022 .0000427 index_age65 | .0009125 .0009527 0.96 0.341 -.0009838 .0028088 index2_age65 | -.0000391 .0000223 -1.75 0.083 -.0000834 5.27e-06 age65 | .0910622 .0085334 10.67 0.000 .0740769 .1080474 _cons | .6820244 .0164487 41.46 0.000 .649284 .7147647 ------------------------------------------------------------------------------ . * estimate same model but do not cluster on index. notice the drop in the st > d errors on ag65; . reg insured male white black hispanic _Ie* _Iyear* index index2 index_age65 > index2_age65 age65; Source | SS df MS Number of obs = 46950 -------------+------------------------------ F( 19, 46930) = 260.17 Model | 334.010957 19 17.5795241 Prob > F = 0.0000 Residual | 3170.9949 46930 .067568611 R-squared = 0.0953 -------------+------------------------------ Adj R-squared = 0.0949 Total | 3505.00586 46949 .074655602 Root MSE = .25994 ------------------------------------------------------------------------------ insured | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0077525 .0024253 3.20 0.001 .0029988 .0125062 white | .039912 .0053348 7.48 0.000 .0294557 .0503682 black | .004996 .0063545 0.79 0.432 -.0074589 .017451 hispanic | .0999943 .003956 25.28 0.000 .0922405 .107748 _Ieduc_r1_2 | .0477623 .0045912 10.40 0.000 .0387636 .0567611 _Ieduc_r1_3 | .0851812 .0040895 20.83 0.000 .0771657 .0931966 _Ieduc_r1_4 | .0780332 .0082227 9.49 0.000 .0619167 .0941498 _Ieduc_r1_5 | .0970506 .0046304 20.96 0.000 .087975 .1061262 _Ieduc_r1_6 | .101996 .0065035 15.68 0.000 .089249 .114743 _Ieduc_r1_7 | .1109833 .0088811 12.50 0.000 .0935763 .1283904 _Ieduc_r1_8 | .1124369 .0050158 22.42 0.000 .1026059 .1222678 _Iyear_1999 | -.000224 .0034016 -0.07 0.947 -.0068912 .0064432 _Iyear_2000 | -.0079039 .0033842 -2.34 0.020 -.014537 -.0012708 _Iyear_2001 | -.0002411 .0033937 -0.07 0.943 -.0068928 .0064105 index | .0008314 .0005825 1.43 0.153 -.0003102 .001973 index2 | .0000103 .0000137 0.76 0.449 -.0000164 .0000371 index_age65 | .0009125 .0008376 1.09 0.276 -.0007292 .0025542 index2_age65 | -.0000391 .0000204 -1.91 0.056 -.0000791 9.55e-07 age65 | .0910622 .0072477 12.56 0.000 .0768565 .1052678 _cons | .6820244 .0079575 85.71 0.000 .6664276 .6976211 ------------------------------------------------------------------------------ . * run unrestricted model that has dummies for all quarters instead of polyno > mial; . * use for test in card/lee, equation (3); . reg insured male white black hispanic _Ie* _Iyear* _Iage*; Source | SS df MS Number of obs = 46950 -------------+------------------------------ F( 93, 46856) = 54.01 Model | 339.36356 93 3.64907053 Prob > F = 0.0000 Residual | 3165.6423 46856 .067561087 R-squared = 0.0968 -------------+------------------------------ Adj R-squared = 0.0950 Total | 3505.00586 46949 .074655602 Root MSE = .25993 ------------------------------------------------------------------------------ insured | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0079442 .0024272 3.27 0.001 .0031869 .0127014 white | .0402223 .0053383 7.53 0.000 .0297591 .0506855 black | .0049628 .0063597 0.78 0.435 -.0075022 .0174278 hispanic | .1000732 .0039587 25.28 0.000 .0923142 .1078323 _Ieduc_r1_2 | .0476514 .0045938 10.37 0.000 .0386475 .0566553 _Ieduc_r1_3 | .0850489 .0040927 20.78 0.000 .0770271 .0930707 _Ieduc_r1_4 | .0778886 .0082283 9.47 0.000 .0617611 .0940161 _Ieduc_r1_5 | .0970998 .0046326 20.96 0.000 .0880198 .1061799 _Ieduc_r1_6 | .1017956 .0065088 15.64 0.000 .0890383 .1145529 _Ieduc_r1_7 | .1102532 .0088885 12.40 0.000 .0928316 .1276748 _Ieduc_r1_8 | .112422 .0050191 22.40 0.000 .1025845 .1222595 _Iyear_1999 | -.0002947 .0034044 -0.09 0.931 -.0069673 .0063779 _Iyear_2000 | -.0076742 .0033864 -2.27 0.023 -.0143116 -.0010368 _Iyear_2001 | -.0001359 .0033959 -0.04 0.968 -.006792 .0065202 _Iage_qt~221 | -.0397855 .0152203 -2.61 0.009 -.0696175 -.0099535 _Iage_qt~222 | -.0291178 .0151014 -1.93 0.054 -.0587167 .0004812 _Iage_qt~223 | -.0171737 .0152446 -1.13 0.260 -.0470534 .012706 _Iage_qt~224 | -.0321578 .0150947 -2.13 0.033 -.0617437 -.0025719 _Iage_qt~225 | -.0278347 .0151803 -1.83 0.067 -.0575884 .001919 _Iage_qt~226 | -.0087869 .0153302 -0.57 0.567 -.0388343 .0212605 _Iage_qt~227 | -.0448496 .0153346 -2.92 0.003 -.0749057 -.0147935 _Iage_qt~228 | -.0349252 .0152379 -2.29 0.022 -.0647917 -.0050587 _Iage_qt~229 | -.0136322 .0152052 -0.90 0.370 -.0434345 .0161701 _Iage_qt~230 | -.0269777 .0155877 -1.73 0.084 -.0575299 .0035744 _Iage_qt~231 | -.028548 .0154602 -1.85 0.065 -.0588503 .0017542 _Iage_qt~232 | -.0435742 .0153098 -2.85 0.004 -.0735816 -.0135667 _Iage_qt~233 | -.0165693 .0154886 -1.07 0.285 -.0469271 .0137886 _Iage_qt~234 | .0022251 .0155711 0.14 0.886 -.0282946 .0327447 _Iage_qt~235 | -.0311202 .0157084 -1.98 0.048 -.0619089 -.0003315 _Iage_qt~236 | -.0300989 .0156215 -1.93 0.054 -.0607173 .0005194 _Iage_qt~237 | -.0083771 .0157676 -0.53 0.595 -.0392819 .0225277 _Iage_qt~238 | -.0183119 .0157433 -1.16 0.245 -.0491691 .0125452 _Iage_qt~239 | -.0197613 .0156539 -1.26 0.207 -.0504431 .0109205 _Iage_qt~240 | -.0290279 .0157293 -1.85 0.065 -.0598576 .0018018 _Iage_qt~241 | -.0342431 .0157649 -2.17 0.030 -.0651426 -.0033437 _Iage_qt~242 | -.0197329 .0159546 -1.24 0.216 -.0510042 .0115384 _Iage_qt~243 | -.0135571 .0160544 -0.84 0.398 -.045024 .0179097 _Iage_qt~244 | -.0054044 .0157212 -0.34 0.731 -.0362182 .0254093 _Iage_qt~245 | .0070893 .0163814 0.43 0.665 -.0250184 .0391971 _Iage_qt~246 | -.0227024 .0161926 -1.40 0.161 -.05444 .0090352 _Iage_qt~247 | -.0378912 .0160437 -2.36 0.018 -.0693371 -.0064452 _Iage_qt~248 | -.0332465 .0158956 -2.09 0.036 -.0644021 -.0020908 _Iage_qt~249 | -.0278253 .0160699 -1.73 0.083 -.0593225 .0036719 _Iage_qt~250 | -.0100128 .0159354 -0.63 0.530 -.0412465 .0212209 _Iage_qt~251 | -.0199791 .0162447 -1.23 0.219 -.051819 .0118607 _Iage_qt~252 | -.0283497 .0160135 -1.77 0.077 -.0597363 .0030369 _Iage_qt~253 | .0061935 .0163216 0.38 0.704 -.0257972 .0381841 _Iage_qt~254 | -.0154447 .0160453 -0.96 0.336 -.0468937 .0160042 _Iage_qt~255 | -.0271857 .0162688 -1.67 0.095 -.0590728 .0047013 _Iage_qt~256 | .00283 .016216 0.17 0.861 -.0289536 .0346136 _Iage_qt~257 | .0017181 .0162935 0.11 0.916 -.0302174 .0336536 _Iage_qt~258 | -.0150662 .0159316 -0.95 0.344 -.0462923 .0161599 _Iage_qt~259 | -.0157848 .0159476 -0.99 0.322 -.0470423 .0154728 _Iage_qt~260 | .0533322 .0161169 3.31 0.001 .0217428 .0849217 _Iage_qt~261 | .0870921 .0160814 5.42 0.000 .0555724 .1186119 _Iage_qt~262 | .0890915 .0161731 5.51 0.000 .057392 .1207911 _Iage_qt~263 | .0848871 .0163048 5.21 0.000 .0529295 .1168447 _Iage_qt~264 | .0894104 .0163275 5.48 0.000 .0574083 .1214126 _Iage_qt~265 | .1022092 .0163963 6.23 0.000 .0700723 .1343461 _Iage_qt~266 | .1004596 .0164838 6.09 0.000 .0681511 .1327681 _Iage_qt~267 | .100485 .0163706 6.14 0.000 .0683984 .1325715 _Iage_qt~268 | .0965153 .016502 5.85 0.000 .0641713 .1288594 _Iage_qt~269 | .1017353 .0165764 6.14 0.000 .0692453 .1342253 _Iage_qt~270 | .1054595 .016333 6.46 0.000 .0734465 .1374725 _Iage_qt~271 | .0934016 .0164654 5.67 0.000 .0611292 .1256739 _Iage_qt~272 | .0868321 .0166663 5.21 0.000 .0541659 .1194984 _Iage_qt~273 | .1036598 .0166447 6.23 0.000 .071036 .1362837 _Iage_qt~274 | .0970238 .0163724 5.93 0.000 .0649337 .1291138 _Iage_qt~275 | .0990205 .0164318 6.03 0.000 .066814 .131227 _Iage_qt~276 | .1077617 .0165039 6.53 0.000 .0754138 .1401096 _Iage_qt~277 | .111966 .0166456 6.73 0.000 .0793404 .1445916 _Iage_qt~278 | .1074812 .016505 6.51 0.000 .0751312 .1398312 _Iage_qt~279 | .1012854 .0165458 6.12 0.000 .0688553 .1337155 _Iage_qt~280 | .0954181 .0166669 5.73 0.000 .0627508 .1280855 _Iage_qt~281 | .1028325 .0164766 6.24 0.000 .0705381 .1351269 _Iage_qt~282 | .1055271 .0164877 6.40 0.000 .073211 .1378433 _Iage_qt~283 | .1094932 .0163822 6.68 0.000 .0773839 .1416025 _Iage_qt~284 | .1026936 .0166122 6.18 0.000 .0701334 .1352537 _Iage_qt~285 | .110236 .016725 6.59 0.000 .0774548 .1430173 _Iage_qt~286 | .0982921 .0164891 5.96 0.000 .0659733 .130611 _Iage_qt~287 | .101363 .0169051 6.00 0.000 .0682288 .1344972 _Iage_qt~288 | .1061312 .016884 6.29 0.000 .0730384 .139224 _Iage_qt~289 | .1118979 .016675 6.71 0.000 .0792146 .1445812 _Iage_qt~290 | .109892 .0170013 6.46 0.000 .0765691 .1432148 _Iage_qt~291 | .1009795 .0169239 5.97 0.000 .0678085 .1341506 _Iage_qt~292 | .1053908 .0168689 6.25 0.000 .0723276 .1384541 _Iage_qt~293 | .108107 .0167205 6.47 0.000 .0753345 .1408795 _Iage_qt~294 | .1014819 .0171606 5.91 0.000 .0678469 .1351169 _Iage_qt~295 | .1043577 .0170736 6.11 0.000 .0708931 .1378222 _Iage_qt~296 | .1116632 .0172906 6.46 0.000 .0777734 .1455529 _Iage_qt~297 | .1128159 .0167611 6.73 0.000 .0799639 .1456678 _Iage_qt~298 | .1196007 .0173397 6.90 0.000 .0856147 .1535867 _Iage_qt~299 | .1057599 .0171664 6.16 0.000 .0721134 .1394063 _cons | .6909216 .0133784 51.64 0.000 .6646998 .7171434 ------------------------------------------------------------------------------ . * Reduced form results. Impact of Medicare coverage on health outcomes; . * Outcomes are good_health, delayed_med, not_get_med, hosp_12m; . * Note that age65 is small and stat insign in all except the hospitalization > equation; . * implying that although Medicare has increased insurance coverage it has no > t changed outcomes much; . reg good_health male white black hispanic _Ie* _Iyear* index index2 index_ag > e65 index2_age65 age65, cluster(index); Regression with robust standard errors Number of obs = 46950 F( 19, 79) = 206.72 Prob > F = 0.0000 R-squared = 0.0810 Number of clusters (index) = 80 Root MSE = .40567 ------------------------------------------------------------------------------ | Robust good_health | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | -.0012598 .0041154 -0.31 0.760 -.0094512 .0069317 white | .0438366 .0111081 3.95 0.000 .0217264 .0659467 black | -.0927649 .0128068 -7.24 0.000 -.1182561 -.0672736 hispanic | .025925 .0068858 3.77 0.000 .0122192 .0396307 _Ieduc_r1_2 | .0803402 .0082268 9.77 0.000 .0639652 .0967152 _Ieduc_r1_3 | .2211995 .0075641 29.24 0.000 .2061435 .2362556 _Ieduc_r1_4 | .1133665 .013159 8.62 0.000 .0871742 .1395589 _Ieduc_r1_5 | .2486983 .0081464 30.53 0.000 .2324832 .2649133 _Ieduc_r1_6 | .240662 .0101738 23.66 0.000 .2204116 .2609124 _Ieduc_r1_7 | .2925821 .0122599 23.86 0.000 .2681793 .3169848 _Ieduc_r1_8 | .315219 .0077415 40.72 0.000 .29981 .3306281 _Iyear_1999 | .0051162 .0045294 1.13 0.262 -.0038992 .0141317 _Iyear_2000 | .0026664 .0051745 0.52 0.608 -.0076333 .012966 _Iyear_2001 | -.0058921 .0050343 -1.17 0.245 -.0159126 .0041283 index | -.0000385 .0007733 -0.05 0.960 -.0015777 .0015007 index2 | .000021 .0000177 1.19 0.239 -.0000143 .0000564 index_age65 | .0002947 .0012073 0.24 0.808 -.0021082 .0026977 index2_age65 | -.0000676 .0000302 -2.24 0.028 -.0001278 -7.50e-06 age65 | .0070009 .0102207 0.68 0.495 -.013343 .0273448 _cons | .5326211 .0133632 39.86 0.000 .5060223 .5592199 ------------------------------------------------------------------------------ . reg delayed_med male white black hispanic _Ie* _Iyear* index index2 index_ag > e65 index2_age65 age65, cluster(index); Regression with robust standard errors Number of obs = 46950 F( 19, 79) = 75.90 Prob > F = 0.0000 R-squared = 0.0161 Number of clusters (index) = 80 Root MSE = .24971 ------------------------------------------------------------------------------ | Robust delayed_med | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | -.0220104 .0022906 -9.61 0.000 -.0265697 -.017451 white | -.0061438 .0055896 -1.10 0.275 -.0172696 .004982 black | -.0011039 .0066732 -0.17 0.869 -.0143866 .0121788 hispanic | .0030924 .0039812 0.78 0.440 -.0048319 .0110167 _Ieduc_r1_2 | -.0109521 .0047207 -2.32 0.023 -.0203484 -.0015557 _Ieduc_r1_3 | -.0460547 .0046824 -9.84 0.000 -.0553748 -.0367347 _Ieduc_r1_4 | -.0139309 .0075724 -1.84 0.070 -.0290034 .0011416 _Ieduc_r1_5 | -.0335417 .0049772 -6.74 0.000 -.0434486 -.0236348 _Ieduc_r1_6 | -.0425928 .006674 -6.38 0.000 -.055877 -.0293086 _Ieduc_r1_7 | -.0453161 .0089788 -5.05 0.000 -.0631879 -.0274443 _Ieduc_r1_8 | -.0618797 .005884 -10.52 0.000 -.0735915 -.0501679 _Iyear_1999 | .0023618 .0034183 0.69 0.492 -.0044421 .0091658 _Iyear_2000 | .0040252 .0032934 1.22 0.225 -.00253 .0105805 _Iyear_2001 | .0053107 .0029314 1.81 0.074 -.0005241 .0111455 index | -.0015644 .0005322 -2.94 0.004 -.0026236 -.0005052 index2 | -.000021 .0000128 -1.64 0.105 -.0000466 4.50e-06 index_age65 | -.0002938 .0007122 -0.41 0.681 -.0017114 .0011238 index2_age65 | .000051 .0000167 3.06 0.003 .0000179 .0000842 age65 | -.0047972 .006399 -0.75 0.456 -.017534 .0079396 _cons | .1097541 .0075789 14.48 0.000 .0946687 .1248395 ------------------------------------------------------------------------------ . reg not_get_med male white black hispanic _Ie* _Iyear* index index2 index_ag > e65 index2_age65 age65, cluster(index); Regression with robust standard errors Number of obs = 46950 F( 19, 79) = 53.47 Prob > F = 0.0000 R-squared = 0.0187 Number of clusters (index) = 80 Root MSE = .21297 ------------------------------------------------------------------------------ | Robust not_get_med | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | -.0158153 .0019538 -8.09 0.000 -.0197043 -.0119263 white | -.0013835 .0040932 -0.34 0.736 -.0095307 .0067637 black | .0200642 .0058561 3.43 0.001 .0084079 .0317205 hispanic | -.0032694 .0038145 -0.86 0.394 -.010862 .0043232 _Ieduc_r1_2 | -.0088871 .0044165 -2.01 0.048 -.017678 -.0000961 _Ieduc_r1_3 | -.0456555 .0046267 -9.87 0.000 -.0548648 -.0364462 _Ieduc_r1_4 | -.0191441 .0069387 -2.76 0.007 -.0329553 -.005333 _Ieduc_r1_5 | -.0392033 .0045264 -8.66 0.000 -.0482129 -.0301937 _Ieduc_r1_6 | -.0414814 .0062056 -6.68 0.000 -.0538333 -.0291296 _Ieduc_r1_7 | -.0539067 .0077033 -7.00 0.000 -.0692397 -.0385737 _Ieduc_r1_8 | -.0603897 .0052184 -11.57 0.000 -.0707767 -.0500027 _Iyear_1999 | .0037696 .0030937 1.22 0.227 -.0023882 .0099274 _Iyear_2000 | .0046364 .0026212 1.77 0.081 -.000581 .0098538 _Iyear_2001 | .0068705 .002891 2.38 0.020 .0011161 .0126248 index | -.0014545 .0004713 -3.09 0.003 -.0023925 -.0005164 index2 | -.000022 .0000117 -1.88 0.064 -.0000453 1.33e-06 index_age65 | -.0001714 .0005682 -0.30 0.764 -.0013025 .0009596 index2_age65 | .0000499 .0000142 3.51 0.001 .0000216 .0000782 age65 | -.0012621 .0049687 -0.25 0.800 -.011152 .0086278 _cons | .0848953 .0067203 12.63 0.000 .0715189 .0982718 ------------------------------------------------------------------------------ . reg hosp_12m male white black hispanic _Ie* _Iyear* index index2 index_age65 > index2_age65 age65, cluster(index); Regression with robust standard errors Number of obs = 46950 F( 19, 79) = 34.44 Prob > F = 0.0000 R-squared = 0.0128 Number of clusters (index) = 80 Root MSE = .33722 ------------------------------------------------------------------------------ | Robust hosp_12m | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0146667 .0034806 4.21 0.000 .0077388 .0215947 white | .0129684 .0054696 2.37 0.020 .0020815 .0238553 black | .034299 .007078 4.85 0.000 .0202106 .0483874 hispanic | .0178585 .0056553 3.16 0.002 .0066018 .0291152 _Ieduc_r1_2 | -.0022616 .0057368 -0.39 0.694 -.0136804 .0091573 _Ieduc_r1_3 | -.0393039 .0044884 -8.76 0.000 -.0482378 -.03037 _Ieduc_r1_4 | .0150464 .0103677 1.45 0.151 -.00559 .0356829 _Ieduc_r1_5 | -.0238885 .0061468 -3.89 0.000 -.0361234 -.0116536 _Ieduc_r1_6 | -.0326953 .006967 -4.69 0.000 -.0465629 -.0188278 _Ieduc_r1_7 | -.0368846 .0106297 -3.47 0.001 -.0580424 -.0157268 _Ieduc_r1_8 | -.0561876 .0050667 -11.09 0.000 -.0662728 -.0461025 _Iyear_1999 | -.0040603 .0043047 -0.94 0.348 -.0126285 .0045079 _Iyear_2000 | -.0008291 .0044667 -0.19 0.853 -.0097198 .0080616 _Iyear_2001 | -.0013709 .0046331 -0.30 0.768 -.0105929 .0078511 index | .0005039 .00042 1.20 0.234 -.0003321 .0013399 index2 | -4.88e-06 .0000116 -0.42 0.675 -.000028 .0000182 index_age65 | -.000714 .0010718 -0.67 0.507 -.0028473 .0014193 index2_age65 | .0000438 .0000274 1.60 0.114 -.0000108 .0000984 age65 | .0253064 .0085476 2.96 0.004 .0082929 .0423199 _cons | .1134856 .0065795 17.25 0.000 .1003894 .1265818 ------------------------------------------------------------------------------ . * examine the sensitivity of the results to the order of the polynomial in t > he index; . * linear index; . reg insured male white black hispanic _Ie* _Iyear* index age65, cluster(inde > x); Regression with robust standard errors Number of obs = 46950 F( 16, 79) = 201.53 Prob > F = 0.0000 R-squared = 0.0952 Number of clusters (index) = 80 Root MSE = .25995 ------------------------------------------------------------------------------ | Robust insured | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0077421 .0026722 2.90 0.005 .0024232 .013061 white | .0399719 .0074097 5.39 0.000 .0252234 .0547205 black | .0050161 .0083017 0.60 0.547 -.011508 .0215401 hispanic | .1000869 .0074008 13.52 0.000 .085356 .1148177 _Ieduc_r1_2 | .0477097 .0079386 6.01 0.000 .0319083 .063511 _Ieduc_r1_3 | .0851351 .0100326 8.49 0.000 .0651658 .1051044 _Ieduc_r1_4 | .0780044 .0113289 6.89 0.000 .0554548 .1005539 _Ieduc_r1_5 | .0970267 .0108474 8.94 0.000 .0754356 .1186178 _Ieduc_r1_6 | .1019705 .0112597 9.06 0.000 .0795587 .1243823 _Ieduc_r1_7 | .111133 .0139533 7.96 0.000 .0833596 .1389063 _Ieduc_r1_8 | .1124915 .0122091 9.21 0.000 .08819 .1367931 _Iyear_1999 | -.0001809 .0032472 -0.06 0.956 -.0066443 .0062824 _Iyear_2000 | -.0079191 .0033769 -2.35 0.022 -.0146407 -.0011975 _Iyear_2001 | -.0002706 .0031185 -0.09 0.931 -.0064778 .0059366 index | .0005093 .0001218 4.18 0.000 .0002669 .0007516 age65 | .1010953 .0058218 17.36 0.000 .0895073 .1126834 _cons | .6811465 .0162693 41.87 0.000 .6487634 .7135297 ------------------------------------------------------------------------------ . reg hosp_12m male white black hispanic _Ie* _Iyear* index age65, cluster(ind > ex); Regression with robust standard errors Number of obs = 46950 F( 16, 79) = 34.37 Prob > F = 0.0000 R-squared = 0.0127 Number of clusters (index) = 80 Root MSE = .33724 ------------------------------------------------------------------------------ | Robust hosp_12m | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0145912 .0034836 4.19 0.000 .0076572 .0215252 white | .012793 .0054743 2.34 0.022 .0018967 .0236894 black | .0340742 .0070885 4.81 0.000 .019965 .0481835 hispanic | .0179911 .005651 3.18 0.002 .006743 .0292392 _Ieduc_r1_2 | -.0023875 .0057434 -0.42 0.679 -.0138194 .0090444 _Ieduc_r1_3 | -.0393754 .0044789 -8.79 0.000 -.0482903 -.0304604 _Ieduc_r1_4 | .0147933 .0104023 1.42 0.159 -.0059119 .0354985 _Ieduc_r1_5 | -.0238424 .0061328 -3.89 0.000 -.0360494 -.0116354 _Ieduc_r1_6 | -.032514 .006961 -4.67 0.000 -.0463695 -.0186585 _Ieduc_r1_7 | -.0368159 .0105957 -3.47 0.001 -.0579062 -.0157256 _Ieduc_r1_8 | -.0560898 .005073 -11.06 0.000 -.0661874 -.0459922 _Iyear_1999 | -.0040042 .004312 -0.93 0.356 -.012587 .0045786 _Iyear_2000 | -.0006789 .0044739 -0.15 0.880 -.0095839 .0082261 _Iyear_2001 | -.001327 .0046445 -0.29 0.776 -.0105715 .0079176 index | .0009582 .000163 5.88 0.000 .0006337 .0012827 age65 | .0153607 .0064529 2.38 0.020 .0025165 .0282048 _cons | .1204075 .0071196 16.91 0.000 .1062364 .1345787 ------------------------------------------------------------------------------ . * linear index interacted with age65; . reg insured male white black hispanic _Ie* _Iyear* index index_age65 age65, > cluster(index); Regression with robust standard errors Number of obs = 46950 F( 17, 79) = 209.16 Prob > F = 0.0000 R-squared = 0.0952 Number of clusters (index) = 80 Root MSE = .25995 ------------------------------------------------------------------------------ | Robust insured | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0077657 .0026716 2.91 0.005 .002448 .0130834 white | .0399986 .0074109 5.40 0.000 .0252476 .0547497 black | .0050715 .0082969 0.61 0.543 -.0114431 .0215861 hispanic | .1000132 .0074028 13.51 0.000 .0852783 .1147481 _Ieduc_r1_2 | .047757 .0079369 6.02 0.000 .0319591 .063555 _Ieduc_r1_3 | .0851675 .0100303 8.49 0.000 .0652028 .1051323 _Ieduc_r1_4 | .0780789 .0113214 6.90 0.000 .0555442 .1006136 _Ieduc_r1_5 | .0970221 .0108486 8.94 0.000 .0754286 .1186157 _Ieduc_r1_6 | .101931 .0112591 9.05 0.000 .0795203 .1243418 _Ieduc_r1_7 | .1110681 .0139625 7.95 0.000 .0832765 .1388596 _Ieduc_r1_8 | .1124531 .012214 9.21 0.000 .0881419 .1367644 _Iyear_1999 | -.0002124 .0032461 -0.07 0.948 -.0066736 .0062488 _Iyear_2000 | -.0079565 .0033735 -2.36 0.021 -.0146714 -.0012416 _Iyear_2001 | -.0002778 .0031184 -0.09 0.929 -.0064848 .0059292 index | .0004028 .0001718 2.34 0.022 .0000609 .0007448 index_age65 | .0002421 .0002323 1.04 0.301 -.0002203 .0007045 age65 | .1008407 .0056701 17.78 0.000 .0895547 .1121268 _cons | .6788871 .0161815 41.95 0.000 .6466786 .7110956 ------------------------------------------------------------------------------ . reg hosp_12m male white black hispanic _Ie* _Iyear* index index_age65 age65, > cluster(index); Regression with robust standard errors Number of obs = 46950 F( 17, 79) = 35.34 Prob > F = 0.0000 R-squared = 0.0128 Number of clusters (index) = 80 Root MSE = .33723 ------------------------------------------------------------------------------ | Robust hosp_12m | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0146471 .0034787 4.21 0.000 .0077229 .0215714 white | .0128563 .0054619 2.35 0.021 .0019847 .0237279 black | .0342056 .0070776 4.83 0.000 .020118 .0482932 hispanic | .0178166 .0056501 3.15 0.002 .0065704 .0290627 _Ieduc_r1_2 | -.0022753 .0057361 -0.40 0.693 -.0136928 .0091422 _Ieduc_r1_3 | -.0392985 .0044822 -8.77 0.000 -.0482201 -.0303768 _Ieduc_r1_4 | .0149698 .0103748 1.44 0.153 -.0056807 .0356204 _Ieduc_r1_5 | -.0238533 .0061397 -3.89 0.000 -.036074 -.0116326 _Ieduc_r1_6 | -.0326075 .0069686 -4.68 0.000 -.0464781 -.0187369 _Ieduc_r1_7 | -.0369697 .0106031 -3.49 0.001 -.0580747 -.0158648 _Ieduc_r1_8 | -.0561808 .0050693 -11.08 0.000 -.066271 -.0460906 _Iyear_1999 | -.0040788 .0043017 -0.95 0.346 -.0126411 .0044834 _Iyear_2000 | -.0007674 .0044716 -0.17 0.864 -.0096679 .008133 _Iyear_2001 | -.001344 .0046385 -0.29 0.773 -.0105767 .0078886 index | .0007061 .0001477 4.78 0.000 .0004122 .001 index_age65 | .0005737 .00031 1.85 0.068 -.0000434 .0011908 age65 | .0147574 .0060738 2.43 0.017 .0026677 .0268471 _cons | .1150539 .0069817 16.48 0.000 .1011571 .1289506 ------------------------------------------------------------------------------ . * second order index; . reg insured male white black hispanic _Ie* _Iyear* index index2 age65, clust > er(index); Regression with robust standard errors Number of obs = 46950 F( 17, 79) = 205.33 Prob > F = 0.0000 R-squared = 0.0952 Number of clusters (index) = 80 Root MSE = .25995 ------------------------------------------------------------------------------ | Robust insured | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0077624 .002671 2.91 0.005 .0024459 .0130789 white | .0399983 .0074104 5.40 0.000 .0252483 .0547482 black | .0050629 .0082962 0.61 0.543 -.0114503 .0215761 hispanic | .1000362 .0073993 13.52 0.000 .0853083 .114764 _Ieduc_r1_2 | .047754 .0079391 6.02 0.000 .0319516 .0635564 _Ieduc_r1_3 | .0851642 .0100319 8.49 0.000 .0651961 .1051322 _Ieduc_r1_4 | .0780721 .0113241 6.89 0.000 .055532 .1006123 _Ieduc_r1_5 | .0970219 .0108489 8.94 0.000 .0754277 .1186161 _Ieduc_r1_6 | .1019341 .0112593 9.05 0.000 .079523 .1243452 _Ieduc_r1_7 | .1110783 .0139577 7.96 0.000 .0832962 .1388604 _Ieduc_r1_8 | .1124523 .0122124 9.21 0.000 .0881442 .1367605 _Iyear_1999 | -.0002038 .0032466 -0.06 0.950 -.0066661 .0062585 _Iyear_2000 | -.0079495 .0033747 -2.36 0.021 -.0146666 -.0012324 _Iyear_2001 | -.0002712 .0031189 -0.09 0.931 -.0064793 .0059369 index | .0005245 .0001178 4.45 0.000 .00029 .0007591 index2 | 2.39e-06 2.65e-06 0.90 0.369 -2.88e-06 7.67e-06 age65 | .1007461 .005693 17.70 0.000 .0894144 .1120778 _cons | .6800602 .0161986 41.98 0.000 .6478175 .7123028 ------------------------------------------------------------------------------ . reg hosp_12m male white black hispanic _Ie* _Iyear* index index2 age65, clus > ter(index); Regression with robust standard errors Number of obs = 46950 F( 17, 79) = 36.37 Prob > F = 0.0000 R-squared = 0.0128 Number of clusters (index) = 80 Root MSE = .33723 ------------------------------------------------------------------------------ | Robust hosp_12m | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0146563 .0034795 4.21 0.000 .0077306 .021582 white | .0128775 .0054642 2.36 0.021 .0020013 .0237536 black | .0342243 .0070784 4.84 0.000 .0201351 .0483134 hispanic | .0178287 .0056539 3.15 0.002 .0065749 .0290824 _Ieduc_r1_2 | -.0022454 .0057337 -0.39 0.696 -.013658 .0091672 _Ieduc_r1_3 | -.0392822 .0044836 -8.76 0.000 -.0482066 -.0303577 _Ieduc_r1_4 | .0150105 .0103702 1.45 0.152 -.0056309 .0356519 _Ieduc_r1_5 | -.0238577 .006143 -3.88 0.000 -.0360851 -.0116303 _Ieduc_r1_6 | -.0326308 .0069652 -4.68 0.000 -.0464945 -.018767 _Ieduc_r1_7 | -.0369912 .0106067 -3.49 0.001 -.0581032 -.0158791 _Ieduc_r1_8 | -.0562154 .0050687 -11.09 0.000 -.0663044 -.0461265 _Iyear_1999 | -.0040774 .0043007 -0.95 0.346 -.0126378 .0044829 _Iyear_2000 | -.0007763 .0044691 -0.17 0.863 -.0096718 .0081192 _Iyear_2001 | -.0013289 .0046391 -0.29 0.775 -.0105627 .0079049 index | .0010072 .0001572 6.41 0.000 .0006943 .0013202 index2 | 7.68e-06 3.90e-06 1.97 0.053 -8.51e-08 .0000154 age65 | .0142413 .006203 2.30 0.024 .0018945 .0265881 _cons | .1169255 .0069482 16.83 0.000 .1030955 .1307554 ------------------------------------------------------------------------------ . * third order index; . reg insured male white black hispanic _Ie* _Iyear* index index2 index3 age65 > , cluster(index); Regression with robust standard errors Number of obs = 46950 F( 18, 79) = 193.87 Prob > F = 0.0000 R-squared = 0.0953 Number of clusters (index) = 80 Root MSE = .25994 ------------------------------------------------------------------------------ | Robust insured | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0077558 .002672 2.90 0.005 .0024373 .0130742 white | .0399527 .0074053 5.40 0.000 .0252128 .0546926 black | .0050158 .0082851 0.61 0.547 -.0114753 .021507 hispanic | .1000452 .0074052 13.51 0.000 .0853056 .1147848 _Ieduc_r1_2 | .0477817 .007939 6.02 0.000 .0319796 .0635839 _Ieduc_r1_3 | .0851892 .0100323 8.49 0.000 .0652205 .105158 _Ieduc_r1_4 | .0780706 .0113289 6.89 0.000 .055521 .1006202 _Ieduc_r1_5 | .0970441 .0108451 8.95 0.000 .0754574 .1186308 _Ieduc_r1_6 | .1019795 .0112568 9.06 0.000 .0795735 .1243856 _Ieduc_r1_7 | .1110058 .0139544 7.95 0.000 .0832302 .1387814 _Ieduc_r1_8 | .1124172 .0122137 9.20 0.000 .0881065 .136728 _Iyear_1999 | -.0002003 .0032415 -0.06 0.951 -.0066522 .0062517 _Iyear_2000 | -.0079039 .0033696 -2.35 0.022 -.0146109 -.0011968 _Iyear_2001 | -.0002224 .0031212 -0.07 0.943 -.006435 .0059903 index | .0009017 .0003096 2.91 0.005 .0002855 .0015179 index2 | 1.68e-06 2.42e-06 0.69 0.490 -3.14e-06 6.50e-06 index3 | -2.65e-07 1.88e-07 -1.41 0.163 -6.39e-07 1.09e-07 age65 | .0940567 .0079798 11.79 0.000 .0781733 .1099401 _cons | .6837634 .0163994 41.69 0.000 .6511211 .7164056 ------------------------------------------------------------------------------ . reg hosp_12m male white black hispanic _Ie* _Iyear* index index2 index3 age6 > 5, cluster(index); Regression with robust standard errors Number of obs = 46950 F( 18, 79) = 35.57 Prob > F = 0.0000 R-squared = 0.0129 Number of clusters (index) = 80 Root MSE = .33722 ------------------------------------------------------------------------------ | Robust hosp_12m | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0146668 .0034801 4.21 0.000 .0077398 .0215939 white | .01295 .0054646 2.37 0.020 .002073 .023827 black | .0342991 .0070777 4.85 0.000 .0202113 .048387 hispanic | .0178143 .0056536 3.15 0.002 .0065612 .0290675 _Ieduc_r1_2 | -.0022895 .0057388 -0.40 0.691 -.0137122 .0091333 _Ieduc_r1_3 | -.039322 .0044876 -8.76 0.000 -.0482543 -.0303897 _Ieduc_r1_4 | .015013 .0103698 1.45 0.152 -.0056276 .0356535 _Ieduc_r1_5 | -.023893 .006144 -3.89 0.000 -.0361223 -.0116636 _Ieduc_r1_6 | -.0327031 .0069764 -4.69 0.000 -.0465894 -.0188168 _Ieduc_r1_7 | -.0368758 .0106335 -3.47 0.001 -.0580412 -.0157104 _Ieduc_r1_8 | -.0561596 .0050635 -11.09 0.000 -.0662383 -.046081 _Iyear_1999 | -.004083 .004306 -0.95 0.346 -.0126539 .0044878 _Iyear_2000 | -.000849 .0044664 -0.19 0.850 -.0097392 .0080413 _Iyear_2001 | -.0014066 .0046282 -0.30 0.762 -.0106188 .0078055 index | .0004073 .000324 1.26 0.212 -.0002377 .0010523 index2 | 8.82e-06 3.67e-06 2.40 0.019 1.51e-06 .0000161 index3 | 4.21e-07 2.20e-07 1.91 0.059 -1.70e-08 8.59e-07 age65 | .0248823 .007582 3.28 0.002 .0097906 .0399739 _cons | .1110346 .0072615 15.29 0.000 .0965811 .1254882 ------------------------------------------------------------------------------ . * third order index interacted with age; . reg insured male white black hispanic _Ie* _Iyear* index index2 index3 > index_age65 index2_age65 index3_age65 age65, cluster(index); Regression with robust standard errors Number of obs = 46950 F( 21, 79) = 182.44 Prob > F = 0.0000 R-squared = 0.0954 Number of clusters (index) = 80 Root MSE = .25993 ------------------------------------------------------------------------------ | Robust insured | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0077901 .0026721 2.92 0.005 .0024714 .0131087 white | .0398671 .0074129 5.38 0.000 .0251121 .0546221 black | .0049641 .0082981 0.60 0.551 -.0115528 .0214811 hispanic | .1000465 .0074083 13.50 0.000 .0853006 .1147924 _Ieduc_r1_2 | .0477112 .0079492 6.00 0.000 .0318887 .0635336 _Ieduc_r1_3 | .0851434 .0100355 8.48 0.000 .0651683 .1051185 _Ieduc_r1_4 | .07805 .0113095 6.90 0.000 .0555389 .100561 _Ieduc_r1_5 | .0970158 .0108468 8.94 0.000 .0754258 .1186058 _Ieduc_r1_6 | .1019928 .0112501 9.07 0.000 .0796 .1243856 _Ieduc_r1_7 | .11087 .0139647 7.94 0.000 .0830739 .1386661 _Ieduc_r1_8 | .1124232 .012211 9.21 0.000 .0881178 .1367285 _Iyear_1999 | -.000215 .0032455 -0.07 0.947 -.006675 .006245 _Iyear_2000 | -.0078676 .0033607 -2.34 0.022 -.0145569 -.0011783 _Iyear_2001 | -.0002148 .0031143 -0.07 0.945 -.0064138 .0059841 index | .0006851 .0017412 0.39 0.695 -.0027808 .0041509 index2 | 1.60e-06 .0001067 0.02 0.988 -.0002107 .0002139 index3 | -1.42e-07 1.79e-06 -0.08 0.937 -3.71e-06 3.43e-06 index_age65 | .0036536 .0023731 1.54 0.128 -.0010698 .0083771 index2_age65 | -.0002017 .0001372 -1.47 0.145 -.0004748 .0000714 index3_age65 | 3.10e-06 2.24e-06 1.38 0.171 -1.36e-06 7.57e-06 age65 | .0840021 .0105949 7.93 0.000 .0629134 .1050907 _cons | .6814804 .0167107 40.78 0.000 .6482186 .7147422 ------------------------------------------------------------------------------ . reg hosp_12m male white black hispanic _Ie* _Iyear* index index2 index3 > index_age65 index2_age65 index3_age65 age65, cluster(index); Regression with robust standard errors Number of obs = 46950 F( 21, 79) = 45.99 Prob > F = 0.0000 R-squared = 0.0133 Number of clusters (index) = 80 Root MSE = .33716 ------------------------------------------------------------------------------ | Robust hosp_12m | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0147891 .0034821 4.25 0.000 .0078581 .02172 white | .0128651 .0054375 2.37 0.020 .002042 .0236883 black | .0342243 .0070827 4.83 0.000 .0201266 .048322 hispanic | .0180287 .0056545 3.19 0.002 .0067737 .0292838 _Ieduc_r1_2 | -.0024124 .0057204 -0.42 0.674 -.0137986 .0089739 _Ieduc_r1_3 | -.0394072 .0044817 -8.79 0.000 -.0483278 -.0304866 _Ieduc_r1_4 | .0151503 .0103685 1.46 0.148 -.0054877 .0357883 _Ieduc_r1_5 | -.0239917 .0061445 -3.90 0.000 -.036222 -.0117614 _Ieduc_r1_6 | -.0326706 .0069293 -4.71 0.000 -.0464631 -.0188781 _Ieduc_r1_7 | -.0372355 .0106453 -3.50 0.001 -.0584245 -.0160465 _Ieduc_r1_8 | -.0562148 .0050681 -11.09 0.000 -.0663026 -.046127 _Iyear_1999 | -.0040034 .0043061 -0.93 0.355 -.0125744 .0045677 _Iyear_2000 | -.0006883 .0044584 -0.15 0.878 -.0095626 .0081859 _Iyear_2001 | -.0012678 .0046354 -0.27 0.785 -.0104943 .0079587 index | -.0012431 .0012205 -1.02 0.312 -.0036725 .0011864 index2 | -.0001092 .0000728 -1.50 0.137 -.0002541 .0000357 index3 | -1.69e-06 1.19e-06 -1.42 0.160 -4.06e-06 6.82e-07 index_age65 | .0084893 .002254 3.77 0.000 .0040028 .0129758 index2_age65 | -.0003443 .0001375 -2.50 0.014 -.000618 -.0000706 index3_age65 | .0000102 2.30e-06 4.43 0.000 5.61e-06 .0000148 age65 | .0098602 .0093941 1.05 0.297 -.0088383 .0285587 _cons | .1070064 .0073784 14.50 0.000 .0923201 .1216927 ------------------------------------------------------------------------------ . * fourth order index; . reg insured male white black hispanic _Ie* _Iyear* index index2 index3 index > 4 age65, cluster(index); Regression with robust standard errors Number of obs = 46950 F( 19, 79) = 184.93 Prob > F = 0.0000 R-squared = 0.0953 Number of clusters (index) = 80 Root MSE = .25995 ------------------------------------------------------------------------------ | Robust insured | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0077514 .0026706 2.90 0.005 .0024358 .0130671 white | .0399479 .0074071 5.39 0.000 .0252044 .0546914 black | .0050158 .0082868 0.61 0.547 -.0114786 .0215102 hispanic | .1000284 .0074076 13.50 0.000 .0852839 .1147729 _Ieduc_r1_2 | .0477808 .0079383 6.02 0.000 .0319799 .0635816 _Ieduc_r1_3 | .0851892 .0100319 8.49 0.000 .0652212 .1051572 _Ieduc_r1_4 | .078058 .0113236 6.89 0.000 .0555189 .100597 _Ieduc_r1_5 | .0970478 .0108451 8.95 0.000 .0754613 .1186343 _Ieduc_r1_6 | .1019803 .0112562 9.06 0.000 .0795753 .1243852 _Ieduc_r1_7 | .1110132 .0139535 7.96 0.000 .0832394 .138787 _Ieduc_r1_8 | .1124232 .0122144 9.20 0.000 .0881111 .1367353 _Iyear_1999 | -.0002079 .0032414 -0.06 0.949 -.0066597 .0062439 _Iyear_2000 | -.0079098 .0033666 -2.35 0.021 -.0146109 -.0012088 _Iyear_2001 | -.0002315 .0031176 -0.07 0.941 -.0064369 .0059739 index | .0009118 .0003006 3.03 0.003 .0003134 .0015102 index2 | 4.20e-06 9.93e-06 0.42 0.674 -.0000156 .000024 index3 | -2.74e-07 1.77e-07 -1.54 0.126 -6.27e-07 7.91e-08 index4 | -1.86e-09 6.89e-09 -0.27 0.788 -1.56e-08 1.18e-08 age65 | .0939466 .0079056 11.88 0.000 .0782108 .1096823 _cons | .6834435 .0164608 41.52 0.000 .6506791 .7162079 ------------------------------------------------------------------------------ . reg hosp_12m male white black hispanic _Ie* _Iyear* index index2 index3 inde > x4 age65, cluster(index); Regression with robust standard errors Number of obs = 46950 F( 19, 79) = 44.51 Prob > F = 0.0000 R-squared = 0.0130 Number of clusters (index) = 80 Root MSE = .3372 ------------------------------------------------------------------------------ | Robust hosp_12m | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0147142 .0034831 4.22 0.000 .0077812 .0216472 white | .0130023 .0054653 2.38 0.020 .002124 .0238806 black | .0342998 .0070792 4.85 0.000 .020209 .0483907 hispanic | .0179987 .0056575 3.18 0.002 .0067378 .0292595 _Ieduc_r1_2 | -.0022791 .0057341 -0.40 0.692 -.0136925 .0091343 _Ieduc_r1_3 | -.0393221 .0044928 -8.75 0.000 -.0482648 -.0303794 _Ieduc_r1_4 | .0151513 .0103606 1.46 0.148 -.0054708 .0357735 _Ieduc_r1_5 | -.0239338 .0061529 -3.89 0.000 -.0361807 -.0116868 _Ieduc_r1_6 | -.0327112 .0069429 -4.71 0.000 -.0465306 -.0188917 _Ieduc_r1_7 | -.0369571 .0106395 -3.47 0.001 -.0581344 -.0157797 _Ieduc_r1_8 | -.0562251 .0050667 -11.10 0.000 -.0663101 -.0461401 _Iyear_1999 | -.0039995 .0043036 -0.93 0.356 -.0125657 .0045666 _Iyear_2000 | -.0007834 .0044679 -0.18 0.861 -.0096764 .0081097 _Iyear_2001 | -.0013064 .004633 -0.28 0.779 -.0105282 .0079153 index | .0002964 .0003567 0.83 0.409 -.0004136 .0010064 index2 | -.0000188 .0000119 -1.58 0.118 -.0000425 4.90e-06 index3 | 5.23e-07 2.30e-07 2.27 0.026 6.42e-08 9.82e-07 index4 | 2.04e-08 8.42e-09 2.42 0.018 3.62e-09 3.72e-08 age65 | .0260884 .008432 3.09 0.003 .009305 .0428717 _cons | .1145381 .0069235 16.54 0.000 .1007573 .1283189 ------------------------------------------------------------------------------ . * fourth order index interacted with age; . reg insured male white black hispanic _Ie* _Iyear* index index2 index3 index > 4 > index_age65 index2_age65 index3_age65 index4_age65 age65, cluster(index); Regression with robust standard errors Number of obs = 46950 F( 23, 79) = 168.88 Prob > F = 0.0000 R-squared = 0.0954 Number of clusters (index) = 80 Root MSE = .25993 ------------------------------------------------------------------------------ | Robust insured | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0077804 .0026683 2.92 0.005 .0024692 .0130916 white | .0399365 .0074138 5.39 0.000 .0251797 .0546934 black | .004969 .0083069 0.60 0.551 -.0115654 .0215035 hispanic | .1000416 .0074074 13.51 0.000 .0852976 .1147856 _Ieduc_r1_2 | .0476683 .0079581 5.99 0.000 .0318281 .0635085 _Ieduc_r1_3 | .0851218 .0100382 8.48 0.000 .0651412 .1051025 _Ieduc_r1_4 | .0780272 .0113086 6.90 0.000 .055518 .1005365 _Ieduc_r1_5 | .0970224 .0108439 8.95 0.000 .0754382 .1186065 _Ieduc_r1_6 | .1019957 .0112545 9.06 0.000 .0795942 .1243972 _Ieduc_r1_7 | .1107789 .0139784 7.92 0.000 .0829555 .1386023 _Ieduc_r1_8 | .1124053 .012215 9.20 0.000 .0880919 .1367188 _Iyear_1999 | -.0001822 .0032445 -0.06 0.955 -.0066403 .0062759 _Iyear_2000 | -.0078288 .0033611 -2.33 0.022 -.014519 -.0011387 _Iyear_2001 | -.0002154 .003117 -0.07 0.945 -.0064198 .0059889 index | .0034912 .0034478 1.01 0.314 -.0033715 .0103539 index2 | .0002994 .0003537 0.85 0.400 -.0004046 .0010035 index3 | .000011 .0000134 0.82 0.413 -.0000157 .0000377 index4 | 1.36e-07 1.68e-07 0.81 0.422 -1.99e-07 4.71e-07 index_age65 | .0036795 .0044224 0.83 0.408 -.0051231 .012482 index2_age65 | -.0008415 .0004352 -1.93 0.057 -.0017078 .0000248 index3_age65 | 5.84e-06 .0000161 0.36 0.717 -.0000262 .0000378 index4_age65 | -3.16e-07 1.99e-07 -1.59 0.116 -7.11e-07 7.99e-08 age65 | .0729157 .0129554 5.63 0.000 .0471287 .0987027 _cons | .6878042 .0183904 37.40 0.000 .651199 .7244094 ------------------------------------------------------------------------------ . reg hosp_12m male white black hispanic _Ie* _Iyear* index index2 index3 inde > x4 > index_age65 index2_age65 index3_age65 index4_age65 age65, cluster(index); Regression with robust standard errors Number of obs = 46950 F( 23, 79) = 42.45 Prob > F = 0.0000 R-squared = 0.0133 Number of clusters (index) = 80 Root MSE = .33716 ------------------------------------------------------------------------------ | Robust hosp_12m | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- male | .0148118 .0034845 4.25 0.000 .0078761 .0217475 white | .0127631 .0054317 2.35 0.021 .0019516 .0235747 black | .0341694 .007087 4.82 0.000 .020063 .0482757 hispanic | .0180424 .0056617 3.19 0.002 .0067731 .0293116 _Ieduc_r1_2 | -.0023811 .0057212 -0.42 0.678 -.0137688 .0090066 _Ieduc_r1_3 | -.0393895 .0044786 -8.80 0.000 -.0483039 -.0304751 _Ieduc_r1_4 | .0151862 .010367 1.46 0.147 -.0054488 .0358213 _Ieduc_r1_5 | -.0240106 .0061428 -3.91 0.000 -.0362377 -.0117836 _Ieduc_r1_6 | -.0326787 .0069337 -4.71 0.000 -.0464799 -.0188774 _Ieduc_r1_7 | -.0371437 .0106444 -3.49 0.001 -.0583308 -.0159566 _Ieduc_r1_8 | -.0561931 .005073 -11.08 0.000 -.0662905 -.0460956 _Iyear_1999 | -.0040403 .0043064 -0.94 0.351 -.0126121 .0045314 _Iyear_2000 | -.000737 .0044632 -0.17 0.869 -.0096207 .0081467 _Iyear_2001 | -.0012725 .0046376 -0.27 0.785 -.0105034 .0079584 index | -.0026089 .0031033 -0.84 0.403 -.0087859 .0035682 index2 | -.0002542 .0003106 -0.82 0.416 -.0008725 .0003641 index3 | -7.13e-06 .0000114 -0.63 0.533 -.0000298 .0000155 index4 | -6.62e-08 1.38e-07 -0.48 0.632 -3.40e-07 2.08e-07 index_age65 | .0055883 .004673 1.20 0.235 -.0037131 .0148896 index2_age65 | .0003159 .0005007 0.63 0.530 -.0006807 .0013125 index3_age65 | -5.31e-06 .0000193 -0.28 0.783 -.0000436 .000033 index4_age65 | 3.37e-07 2.39e-07 1.41 0.162 -1.38e-07 8.12e-07 age65 | .0200629 .0109178 1.84 0.070 -.0016684 .0417943 _cons | .1039829 .0102009 10.19 0.000 .0836785 .1242873 ------------------------------------------------------------------------------ . log close; log: c:\www\econ626\stata\card_et_al.log log type: text closed on: 26 Sep 2006, 13:52:48 ------------------------------------------------------------------------------