. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue Source SS df MS Number of obs = 1081
F( 7, 1073) = 11.30 Prob > F = 0.0000 R-squared = 0.1337 Adj R-squared = 0.1308 Root MSE = .63264 Model 32.0926972 7 5.36265735
Residual 918.900118 1073 .402062056 Total 850.377718 1080 .414340179
_cons .2836458 .0507544 5.59 0.000 .1841158 .3831758 late_negue_ue -.0000172 .0000264 -0.65 0.514 -.0000689 .0000345 late_negue -.013942 .0610187 -0.23 0.819 -.1336005 .1057165 negue_ue 5.21e-06 .0000113 0.46 0.645 -.0000169 .0000274 late_ue .0000246 .0000177 1.39 0.166 -.0000102 .0000593 neg_ue -.0944002 .038116 -2.48 0.013 -.1691462 -.0196543 late_dum -.1816656 .0423858 -4.29 0.000 -.2647847 -.0985465 ue .0972429 .0475137 2.05 0.041 .004068 .1904178 caar Coef. Std. Err. t P>|t| [95% Conf. Interval]
Total 950.992815 2272 .418570781 Root MSE = .63694 Adj R-squared = 0.0308 Residual 918.900118 2265 .405695416 R-squared = 0.0337 Model 32.0926972 7 4.58467103 Prob > F = 0.0000 F( 7, 2265) = 11.30 Source SS df MS Number of obs = 2273 . reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue
Basic material
. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue if industry_dum1==1 Source SS df MS Number of obs = 131
F( 7, 123) = 2.40 Prob > F = 0.0225 R-squared = 0.1777 Adj R-squared = 0.1453 Root MSE = .63264 Model 6.71464341 7 .959234772
Residual 79.6475888 123 .40023914 Total 86.3622322 130 .419234137
25
_cons .4155394 .1976477 2.10 0.037 .0257867 .8052921 late_negue_ue .0000122 .0000947 0.13 0.897 -.0001746 .0001991 late_negue .1431681 .2241476 0.64 0.524 -.2988412 .5851775 negue_ue -.0000145 .0000641 -0.23 0.822 -.0001409 .000112 late_ue .0000246 .0000485 0.51 0.613 -.0000712 .0001203 neg_ue -.0562427 .1508007 -0.37 0.710 -.3536152 .2411298 late_dum -.4153234 .1467609 -2.83 0.005 -.7047295 -.1259173 ue -.019205 .1872374 -0.10 0.918 -.3884291 .3500191 caar Coef. Std. Err. t P>|t| [95% Conf. Interval]
Total 86.3622322 206 .419234137 Root MSE = .63264 Adj R-squared = 0.0453 Residual 79.6475888 199 .40023914 R-squared = 0.0777 Model 6.71464341 7 .959234772 Prob > F = 0.0225 F( 7, 199) = 2.40 Source SS df MS Number of obs = 207
Comsumer Goods
. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue if industry_dum2==1 Source SS df MS Number of obs = 153
F( 7, 145) = 11.49 Prob > F = 0.0000 R-squared = 0.1343 Adj R-squared = 0.1313 Root MSE = .63676 Model 32.607639 7 4.65825198
Residual 918.385051 145 .405468014 Total 950.992815 152 .418570781
_cons 1.42407 .6385296 2.23 0.026 .1719055 2.676234 late_negue_ue 7.40e-06 .0000195 0.38 0.704 -.0000309 .0000457 late_negue -.0409839 .0582266 -0.70 0.482 -.1551669 .0731991 negue_ue 5.21e-06 .0000113 0.46 0.645 -.0000169 .0000274 late_ue -1.139114 .6372669 -1.79 0.074 -2.388802 .1105743 neg_ue -1.231792 .6374222 -1.93 0.053 -2.481784 .018201 late_dum -.1546776 .0382871 -4.04 0.000 -.229759 -.0795962 ue .0939303 .0474562 1.98 0.048 .0008681 .1869925 caar Coef. Std. Err. t P>|t| [95% Conf. Interval]
Total 950.992815 2272 .418570781 Root MSE = .63676 Adj R-squared = 0.0313 Residual 918.385051 2265 .405468014 R-squared = 0.0343 Model 32.6077639 7 4.65825198 Prob > F = 0.0000 F( 7, 2265) = 11.49 Source SS df MS Number of obs = 2273
Comsumer Services
. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue if industry_dum3==1 Source SS df MS Number of obs = 72
F( 7, 64) = 24.82 Prob > F = 0.0000 R-squared = 0.1712 Adj R-squared = 0.1684 Root MSE = .62446 Model 67.7530509 7 9.67900728
Residual 883.239764 64 .389951331 Total 950.992815 71 .418570781
caar Coef. Std. Err. t P>|t| [95% Conf. Interval]
ue .1052217 .0465394 2.26 0.024 .139574 .196486 late_dum -.5357523 .0548616 -9.77 0.000 -.6433366 -.4281679 neg_ue -.4597795 .0528946 -8.69 0.000 -.5635065 -.3560525 late_ue .0000168 .0000129 1.31 0.190 -8.37e-06 .000042 negue_ue 2.01e-06 .00001 0.20 0.841 -0.000176 .0000216 late_negue .3512446 .0706394 4.97 0.000 .2227199 .4897692 late_negue_ue -5.516077 .0537877 -9.59 0.000 -.621086 -.4101293 _cons .6383604 .0618898 10.31 0.000 .5169938 .759727
Health Care
. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue if industry_dum4==1 Source SS df MS Number of obs = 32
F( 7, 24) = 6.33 Prob > F = 0.0000 R-squared = 0.1394 Adj R-squared = 0.1332 Root MSE = .6687 Model 19.8005662 7 2.82865232
Residual 482.932038 24 .447159294 Total 502.732604 31 .462495496
_cons .344731 .0754183 4.57 0.000 .196748 .4927141 late_negue_ue -.0000468 .0000547 -0.86 0.392 -.0001541 .0000605 late_negue .0511817 .099013 0.52 0.605 -.143098 .2454613 negue_ue 6.17e-06 .0000332 0.19 0.852 -.0000589 .0000712 late_ue .0000532 .0000324 1.64 0.100 -.0000103 .0001167 neg_ue -.1771092 .0628947 -2.82 0.005 -.3005187 -.0536996 late_dum -.2133198 .0664939 -3.21 0.001 -.3437916 -.082848 ue .0864294 .0708728 1.22 0.223 -.0526347 .2254935 caar Coef. Std. Err. t P>|t| [95% Conf. Interval]
Total 502.732604 1087 .462495496 Root MSE = .6687 Adj R-squared = 0.0332 Residual 482.932038 1080 .447159294 R-squared = 0.0394 Model 19.8005662 7 2.82865232 Prob > F = 0.0000 F( 7, 1080) = 6.33 Source SS df MS Number of obs = 1088
. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue if industry_dum6==1
Insdustrials
. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue if industry_dum5==1 Source SS df MS Number of obs = 595
F( 7, 594) = 2.18 Prob > F = 0.0402 R-squared = 0.1089 Adj R-squared = 0.0590 Root MSE = .51693 Model 4.08025247 7 .582893209
Residual 33.4027238 587 .26722179 Total 37.4829762 594 .283961941
_cons .2120099 .170814 1.24 0.217 -.1260523 .550072 late_negue_ue -.0000247 .0001746 -0.14 0.888 -.0003704 .0003209 late_negue .0568245 .2190846 0.26 0.796 -.3767711 .4904201 negue_ue -.0001096 .0001332 -0.82 0.412 -.0003733 .0001541 late_ue .0001216 .0001095 1.11 0.269 -.0000951 .0003383 neg_ue -.1426556 .1531886 -0.93 0.354 -.4458349 .1605236 late_dum -.3063193 .1573064 -1.95 0.054 -.6176483 .0050096 ue .1936446 .1532666 1.26 0.209 -.109689 .4969783 caar Coef. Std. Err. t P>|t| [95% Conf. Interval]
Total 37.4829762 132 .283961941 Root MSE = .51693 Adj R-squared = 0.0590 Residual 33.4027238 125 .26722179 R-squared = 0.1089 Model 4.08025247 7 .582893209 Prob > F = 0.0402 F( 7, 125) = 2.18 Source SS df MS Number of obs = 133
. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue if industry_dum3==1
Oil & Gas
. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue if industry_dum6==1 Source SS df MS Number of obs = 23
F( 7, 15) = 2.67 Prob > F = 0.6951 R-squared = 0.0965 Adj R-squared = 0.0473 Root MSE = .58775 Model 1.62304264 7 .231863235
Residual 15.1996892 15 .345447483 Total 86.3622322 22 .329857488
_cons .3113431 .3158456 0.99 0.330 -.3252019 .9478882 late_negue_ue .0004547 .0003107 1.46 0.150 -.0001714 .0010808 late_negue .433406 .4530977 0.96 0.344 -.4797525 1.346564 negue_ue -.000092 .0001006 -0.91 0.366 -.0002948 .0001109 late_ue -.000114 .0002586 -0.44 0.662 -.0006352 .0004073 neg_ue -.2503788 .260166 -0.96 0.341 -.7747089 .2739513 late_dum .1225533 .313602 0.39 0.698 -.5094701 .7545767 ue .0194882 .319685 0.06 0.952 -.6247945 .663771 caar Coef. Std. Err. t P>|t| [95% Conf. Interval]
Total 16.8227319 51 .329857488 Root MSE = .58775 Adj R-squared = -0.0473 Residual 15.1996892 44 .345447483 R-squared = 0.0965 Model 1.62304264 7 .231863235 Prob > F = 0.6951 F( 7, 44) = 0.67 Source SS df MS Number of obs = 52
. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue if industry_dum8==1
Technology
. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue if industry_dum7==1 Source SS df MS Number of obs = 28
F( 7, 20) = 0.77 Prob > F = 0.6127 R-squared = 0.1308 Adj R-squared = 0.0382 Root MSE = .60324 Model 1.197217826 7 .281739752
Residual 13.1002913 20 .363892981 Total 15.0724696 27 .350522549
_cons .114789 .2740851 0.42 0.678 -.4410813 .6706594 late_negue_ue .0012755 .0020148 0.63 0.531 -.0028106 .0053616 late_negue -.0826998 .6030855 -0.14 0.892 -1.305814 1.140414 negue_ue -.0001429 .0003168 -0.45 0.655 -.0007855 .0004997 late_ue -.0008866 .0019675 -0.45 0.655 -.004877 .0031038 neg_ue .1246468 .4089105 0.30 0.762 -.7046622 .9539558 late_dum .0291476 .4062934 0.07 0.943 -.7948536 .8531488 ue .0637819 .2602245 0.25 0.808 -.4639779 .5915417 caar Coef. Std. Err. t P>|t| [95% Conf. Interval]
Total 15.0724696 43 .350522549 Root MSE = .60324 Adj R-squared = -0.0382 Residual 13.1002913 36 .363896981 R-squared = 0.1308 Model 1.97217826 7 .281739752 Prob > F = 0.6127 F( 7, 36) = 0.77 Source SS df MS Number of obs = 44
. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue if industry_dum9==1
Other
. reg caar ue late_dum neg_ue late_ue negue_ue late_negue late_negue_ue if industry_dum8==1 Source SS df MS Number of obs = 47
F( 7, 39) = 11.24 Prob > F = 0.0000 R-squared = 0.1336 Adj R-squared = 0.1306 Root MSE = .637 Model 31.938817 7 4.56269684
Residual 919.053937 39 .4054763328 Total 950.992815 46 .418570781
caar Coef. Std. Err. t P>|t| [95% Conf. Interval]
ue .0954791 .0474802 2.01 0.044 .0023699 .1885884 late_dum -.1743159 .0406918 -4.28 0.000 -.2341131 -.0945188 neg_ue -.099348 .0385147 -2.58 0.010 -.1748758 -.0238202 late_ue .0000158 .0000139 1.13 0.257 -.0000115 .0000431 negue_ue 3.88e-06 .0000133 0.29 0.770 -.0000221 .0000299 late_negue -.0095812 .0612936 -0.16 0.876 -.1297788 .1106163 late_negue_ue -2.32e-06 .0000108 -0.22 0.830 -.0000234 .0000188 _cons .286942 .0514885 5.57 0.000 .1859723 .3876116