I would like to run a regression by group and year on a weekly data basis. The regression equation looks as follows:
zi,t =αi +βi,yzm,t +εi,t ∀i,t∈y
Is there a Stata command which can run such a regression? Many thanks for your help.
zi,t =αi +βi,yzm,t +εi,t ∀i,t∈y
Is there a Stata command which can run such a regression? Many thanks for your help.
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input int date double(Zmt SMB HML RF) long stock float(return Zit) double _b_Zmt float z_excess double(v1 v0 reg_nobs reg_r2 reg_adj_r2 b_Zmt b_cons se_Zmt se_cons) 10962 -.23 1.26 -.86 .141 1 . . . .467211 . . . . . . . . . 10969 -3.56 .52 .65 .141 1 -8.608311 -8.7493105 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 . . . . . . . 10976 -.47 -.37 -.31 .141 1 -.7245492 -.8655491 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 1 . . . . . . 10983 -4.21 -.3 .9 .141 1 -4.3790236 -4.5200233 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 2 . . . . . . 10990 1.22 -1.69 -.1 .142 1 4.5795636 4.4375634 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 3 .5562423445706656 .11248468914133114 1.4725446576905599 -.6670383357251168 1.3152532394733991 4.201858443708239 10997 1.06 .68 -.42 .142 1 0 -.142 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 4 .8176214921434165 .7264322382151247 1.9699237007057318 1.0328862029376782 .657877581452515 1.8638671560288946 11004 -.32 .05 .61 .142 1 -1.1398581 -1.281858 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 5 .7595976986432915 .6794635981910554 1.6886632991516553 .04502273821823666 .5484789033737867 1.413982442458092 11011 -2.48 .64 1.29 .142 1 -1.480652 -1.622652 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 6 .7554441220112734 .6943051525140918 1.6673056390605117 -.10841637418977879 .4743218192015768 1.1179816594570264 11018 3.16 -1.46 -.68 .161 1 1.5029048 1.3419048 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 7 .6994928473280394 .6393914167936473 1.5544165940892034 .1246942530227173 .45563616677322655 1.0821225352441541 11025 .77 1.03 -1.31 .161 1 9.261333 9.100333 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 8 .65428321595895 .5966637519521083 1.2413094063700665 -.5563240197478734 .3683678875413112 .9160165825722576 11032 .83 .08 -.89 .161 1 9.151989 8.990989 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 9 .5059225115112344 .4353400131556965 1.4808113496641493 .5389696887809596 .5531032949433414 1.3044836949424323 11039 -1.41 .95 -.56 .161 1 4.966093 4.805093 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 10 .4800012413172828 .415001396481943 1.6615657446186558 1.3335660090009696 .6114381179279458 1.3774440140006607 11046 .51 -.42 .28 .161 1 -4.73114 -4.89214 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 11 .40598047445705865 .3399783049522873 1.5549600651131572 1.8097113047471711 .6269685726942935 1.372824316327695 11053 -.25 -.76 -1.13 .171 1 -.9320118 -1.1030118 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 12 .31108325136786025 .2421915765046463 1.4199983721067686 1.1300285426356882 .668240669340264 1.4043524557278175 11060 1.05 -.93 -1.12 .171 1 8.46351 8.29251 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 13 .306531232012606 .24348861674102484 1.4146186023986567 .9834326495473702 .6415331609572886 1.2960960747629622 11067 -2.69 .99 .26 .171 1 -6.935724 -7.106724 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 14 .3309548147789485 .2752010493438609 1.562276256880402 1.4426558091161565 .6412252011715216 1.2612521784139763 11074 -1.92 .45 .01 .171 1 -2.7960355 -2.9670355 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 15 .38602063918537866 .338791457584254 1.7290163831115892 1.2283430753562563 .6047822768673906 1.223595765610866 11081 2.48 -1.26 -.96 .169 1 2.2360559 2.067056 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 16 .3990096850025476 .3560818053598723 1.748978099085202 1.184480537503161 .5736703068968042 1.157038577311642 11088 3.46 -2.26 -.08 .169 1 6.56145 6.39245 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 17 .38198998907777093 .3407893216829556 1.6063573116462107 .9289853734824951 .5275556629443012 1.0799318121447334 11095 .86 .47 -.97 .169 1 -6.745263 -6.914263 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 18 .4247014810353481 .3887453236000573 1.6022304901222506 .9230985339494222 .46619728602653815 1.002345246007991 11102 .26 1.07 -1.57 .169 1 2.1727648 2.0037649 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 19 .3380082680675455 .29906757795387173 1.4965484024016644 .42745996597866 .5079593136762488 1.067720454967341 11109 2 -.88 -.52 .156 1 .6169435 .46094355 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 20 .3389730059415425 .302249284049406 1.5013960282227772 .4872200109678769 .49418100727356096 1.0128643315177843 11116 -1 .76 .91 .156 1 -6.135032 -6.291032 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 21 .32405357369896104 .28847744599890635 1.4331349026543756 .344116338415827 .474851706405162 .9721391408279789 11123 .86 .18 -1.65 .156 1 3.266185 3.110185 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 22 .3291629670258911 .2956211153771856 1.4898598092192987 .10933713110697302 .475590791823236 .956655125528706 11130 -1.94 .54 -.38 .156 1 5.064141 4.908141 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 23 .3343263736795816 .3026276295690855 1.5061614630054982 .183952141193978 .4637749001600706 .9161643196571707 11137 .46 -.01 -1.01 .156 1 7.833838 7.677838 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 24 .27135565391935357 .23823545637023336 1.3532359371131057 .4915180192528231 .4727706903308126 .9332427365135828 11144 -.05 -.5 -.71 .169 1 0 -.169 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 25 .26529458792652055 .23335087435810842 1.3890312694633355 .7558896740697539 .4819927756590511 .9332779205120371 11151 2.04 -.81 -1.61 .169 1 4.4667645 4.2977643 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 26 .2650188738074025 .23439466021604427 1.389024244188169 .7229878516189314 .47217598670497357 .8965272224231567 11158 -1.76 -.34 .5 .169 1 -12.298826 -12.467826 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 27 .2778281100961858 .24894123450003325 1.4042703245069041 .7500319187932928 .45280677006001574 .8622047230179269 11165 -2.48 -.08 1.19 .169 1 .9158382 .7468382 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 28 .29448317974014854 .2673479174224619 1.587665640556315 .37304581491625166 .48194314936563365 .9152942037070668 11172 -2.93 -2.59 1.52 .164 1 -.3036335 -.4676335 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 29 .27498896569987574 .24813670517024156 1.492379502958457 .5101422280656376 .4663500932517893 .8963841311263324 11179 -2.65 .33 -.47 .164 1 -6.060709 -6.224709 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 30 .26348118107138424 .23717693753821922 1.4117683187224757 .6059740311151873 .44606848311228064 .8761111301495651 11186 -2.59 -.9 .6 .164 1 -5.806916 -5.970916 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 31 .2872856759039854 .2627093199006746 1.472397293940918 .5241103901751323 .4306522980363926 .856952346916266 11193 -5.45 -2.41 2.01 .164 1 -2.447606 -2.611606 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 32 .3071393439294829 .2840439887271323 1.5200500885512973 .457721124516303 .4168237878490001 .8383823390797411 11200 3.55 .26 -1.57 .164 1 4.2261252 4.062125 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 33 .28843992922367356 .26548637855346946 1.3489256753313148 .5268688073300338 .38052681738608163 .8356916882374474 11207 .14 -.15 .03 .149 1 -1.6888587 -1.8378588 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 34 .2998500431644565 .2779703570133458 1.3191616748566903 .4781063804120133 .356341588443538 .8009252545327964 11214 -1.98 .22 .03 .149 1 -6.530972 -6.679972 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 35 .2958350318499711 .27449669948178845 1.3112928674687931 .4036354298297603 .35217225358398335 .7802087678230276 11221 -2.11 -1.09 1 .149 1 -7.351617 -7.500617 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 36 .30607617172478807 .28566664736375247 1.3524631361488542 .29663570756713536 .349242523758241 .7715526718628885 11228 -2.27 -2.8 -.3 .149 1 -7.934965 -8.083965 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 37 .31717145469097946 .2976620676821503 1.3995265432142048 .1853366979009321 .3471010317311253 .7659112410924686 11235 1.44 -1.67 -.05 .17 1 -3.450427 -3.620427 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 38 .32939922520654713 .3107714259067291 1.450417595657265 .07785709270563368 .3449153703575939 .761671931112994 11242 -4.11 -1.27 1.67 .17 1 .8946767 .7246767 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 39 .3060509364647615 .28729555636921444 1.3885424146327388 -.09966938517963475 .34373616628793624 .7534536008919221 11249 3.44 -2.4 -1.99 .17 1 11.059658 10.889658 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 40 .2729770728270678 .25384489053304315 1.2676235603003312 -.004344396865344269 .3355903556397007 .758378146205359 11256 -2.13 .93 -.25 .17 1 -4.3825407 -4.552541 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 41 .3182671997340143 .30078687152206596 1.3906969410072683 .21216034685015456 .325920253332771 .7482629469654478 11263 1.86 -2.64 .55 .141 1 5.835962 5.694963 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 42 .3246614705246674 .30777800728778404 1.4046549150524787 .1762787675386942 .3203207227557372 .7341870955078593 11270 .87 -.13 -.33 .141 1 11.808538 11.66754 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 43 .33800727915806955 .32186111523509553 1.4358025836337063 .2578482343362075 .3138097136416844 .7164021194495169 11277 1.41 1.04 -.54 .141 1 -.717422 -.858422 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 44 .3338229052257751 .3179615458263888 1.4961244913529814 .5140500102255076 .3261218287785852 .7372425736096561 11284 -.73 .52 -.65 .141 1 3.557749 3.416749 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 45 .3260528276301097 .31037963757499587 1.4678701163705872 .4259793539962173 .32182690117805907 .7225774855505802 11291 2.24 .2 -1.33 .141 1 1.0295126 .8885127 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 46 .32071275722777776 .30527441080113626 1.4615348537004347 .5118445888853541 .3206649185963889 .7129357355203958 11298 1.98 .97 -.1 .149 1 15.647645 15.498645 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 47 .31568953992579935 .3004826408130393 1.4287711984570146 .43938369697985613 .31358329795042145 .6973029387761304 11305 -.36 -.2 -.76 .149 1 -6.174531 -6.323532 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 48 .32650792601301454 .3118667939698192 1.5477643080179306 .7277474649449904 .3277519558554112 .7272349268492915 11312 1.22 -1.08 .02 .149 1 12.852174 12.703174 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 49 .3193913453775639 .3049103101728312 1.5498961677314598 .5958198916450821 .3300204386592198 .7249564286206538 11319 -.84 .28 -.14 .149 1 -4.4444447 -4.593445 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 50 .32132534827612846 .30718629303188116 1.6140358555294467 .816415324892905 .3385718764370938 .7385800951747762 11326 -2.04 1.76 1.76 .129 1 .580589 .451589 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 51 .3216094832909926 .30776477886835973 1.6239511963069284 .7395522930663292 .33693831095774135 .7288531252640771 11333 -1.93 0 -.35 .129 1 8.6713915 8.542392 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 52 .31702115572509854 .3033615788396006 1.601840465040345 .7911071807047121 .3325016168536086 .7184902888332286 11340 4.68 -3.28 -1.92 .129 1 6.914156 6.785156 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 52 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.7363951427052945 11375 -.74 1.14 -1.09 .119 1 3.6868906 3.567891 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 52 .2590818473251956 .24426348427169953 1.3735669541746316 .9523232523191522 .32849703710989414 .7545413742714099 11382 1.36 .69 .36 .11 1 -3.347309 -3.457309 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 52 .25223864354370285 .23728341641457684 1.3698312698648147 1.0066797223427997 .3335475625402904 .7582787431580746 11389 1.56 2.77 -1.29 .11 1 12.553926 12.443926 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 52 .2482120787272021 .23317632030174607 1.386156395174666 .960184426836791 .3411641957148793 .7637639334444568 11396 -.72 -1.12 .9 .11 1 1.922831 1.812831 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 52 .25399079387105167 .23907060974847272 1.4199183620018192 .999562222777719 .3441450117016319 .7731530884780345 11403 -1.3 1.53 -.05 .11 1 -4.5273166 -4.6373167 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 52 .25276985628790816 .23782525341366634 1.3948899765284926 .9059630071855562 .3391716172393198 .7617323585377661 11410 2.23 .78 -.61 .11 1 7.507987 7.397987 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 52 .26999159971886966 .2553914317132471 1.4482251254015226 .7168016723576041 .3367750260596929 .7559200063122447 11417 .52 1.67 -.83 .133 1 2.0232449 1.890245 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 52 .28756032715847174 .2733115337016411 1.4849251259945553 .9008504912259099 .33054387720874034 .7485771939114154 11424 1.06 -.09 .22 .133 1 3.423578 3.290578 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 52 .28738358349835974 .2731312551683269 1.4828789117266963 .936700257398548 .3302308332917132 .7481596869239909 11431 .8 -.49 1.17 .133 1 -16.898474 -17.031473 1.0846589648574492 .467211 .2062084003737894 .07916577681750825 52 .28740760738690135 .27315575953463944 1.4656465573662518 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