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jhr_figs_2_4_FINAL.txt
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jhr_figs_2_4_FINAL.txt
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---------------------------------------------------------------------------------------------------
name: <unnamed>
log: XXX/jhr_output/jhr_figs_2
> _4.txt
log type: text
opened on: 8 Feb 2021, 18:08:31
. global outsheet XXX/jhr_outp
> ut
.
.
. **************************************
. **running for either six months pre and 24 post or visa versa
. **************************************
. local six_mo_pre = 1
.
. if `six_mo_pre' {
. use $datadir/data_for_graph_miles
.
. *** t_pos0 is the same as t_neg1
.
. forvalues x= 0/25 {
2. local y = `x' + 7
3. gen subseven`y' = t_pos`x'
4. }
(3,780,017 missing values generated)
(3,774,933 missing values generated)
(3,773,692 missing values generated)
(3,772,982 missing values generated)
(3,772,352 missing values generated)
(3,771,636 missing values generated)
(3,770,943 missing values generated)
(3,770,163 missing values generated)
(3,769,409 missing values generated)
(3,768,572 missing values generated)
(3,767,747 missing values generated)
(3,766,912 missing values generated)
(3,766,027 missing values generated)
(3,765,027 missing values generated)
(3,764,064 missing values generated)
(3,763,271 missing values generated)
(3,762,471 missing values generated)
(3,761,743 missing values generated)
(3,761,019 missing values generated)
(3,760,321 missing values generated)
(3,759,604 missing values generated)
(3,758,933 missing values generated)
(3,758,218 missing values generated)
(3,757,543 missing values generated)
(3,756,917 missing values generated)
(3,756,295 missing values generated)
.
. gen subseven1 = t_neg7
(3,810,335 missing values generated)
. gen subseven2 = t_neg6
(3,810,335 missing values generated)
. gen subseven3 = t_neg5
(3,810,335 missing values generated)
. gen subseven4 = t_neg4
(3,810,335 missing values generated)
. gen subseven5 = t_neg3
(3,810,335 missing values generated)
. gen subseven6 = t_neg2
(3,810,335 missing values generated)
.
. keep if figure_sample == 1
(3,838,134 observations deleted)
. }
.
. reshape long subseven, i(id) j(mo)
(note: j = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32)
Data wide -> long
-----------------------------------------------------------------------------
Number of obs. 54604 -> 1.7e+06
Number of variables 756 -> 726
j variable (32 values) -> mo
xij variables:
subseven1 subseven2 ... subseven32 -> subseven
-----------------------------------------------------------------------------
.
. gen age_round = round(age)
(1,504 missing values generated)
.
. qui reg subseven i.age_round mo if conus_conus == 1
. predict resid_trend, resid
(1,504 missing values generated)
.
.
.
.
. foreach group in conus_conus worse_location worse_epop better_location better_epop conus_abroad w
> orse_amm better_amm more_exp_rent less_exp_rent worse_shcon worse_shman worse_shgov worse_shmil b
> etter_shcon better_shman better_shgov better_shmil {
2.
. qui reg subseven i.age_round mo if `group' == 1
3. predict resid_trend_`group', resid
4.
. replace resid_trend_`group' = . if `group' ~= 1
5.
. qui reg subseven i.age_round if `group' == 1
6. predict resid_no_trend_`group', resid
7.
.
. replace resid_no_trend_`group' = . if `group' ~= 1
8.
. }
(1,504 missing values generated)
(1,361,920 real changes made, 1,361,920 to missing)
(1,504 missing values generated)
(1,361,920 real changes made, 1,361,920 to missing)
(1,504 missing values generated)
(1,699,264 real changes made, 1,699,264 to missing)
(1,504 missing values generated)
(1,699,264 real changes made, 1,699,264 to missing)
(1,504 missing values generated)
(1,663,840 real changes made, 1,663,840 to missing)
(1,504 missing values generated)
(1,663,840 real changes made, 1,663,840 to missing)
(1,504 missing values generated)
(1,708,224 real changes made, 1,708,224 to missing)
(1,504 missing values generated)
(1,708,224 real changes made, 1,708,224 to missing)
(1,504 missing values generated)
(1,635,968 real changes made, 1,635,968 to missing)
(1,504 missing values generated)
(1,635,968 real changes made, 1,635,968 to missing)
(1,504 missing values generated)
(1,504,096 real changes made, 1,504,096 to missing)
(1,504 missing values generated)
(1,504,096 real changes made, 1,504,096 to missing)
(1,504 missing values generated)
(1,697,568 real changes made, 1,697,568 to missing)
(1,504 missing values generated)
(1,697,568 real changes made, 1,697,568 to missing)
(1,504 missing values generated)
(1,686,272 real changes made, 1,686,272 to missing)
(1,504 missing values generated)
(1,686,272 real changes made, 1,686,272 to missing)
(1,504 missing values generated)
(1,620,608 real changes made, 1,620,608 to missing)
(1,504 missing values generated)
(1,620,608 real changes made, 1,620,608 to missing)
(1,504 missing values generated)
(1,487,168 real changes made, 1,487,168 to missing)
(1,504 missing values generated)
(1,487,168 real changes made, 1,487,168 to missing)
(1,504 missing values generated)
(1,640,544 real changes made, 1,640,544 to missing)
(1,504 missing values generated)
(1,640,544 real changes made, 1,640,544 to missing)
(1,504 missing values generated)
(1,636,128 real changes made, 1,636,128 to missing)
(1,504 missing values generated)
(1,636,128 real changes made, 1,636,128 to missing)
(1,504 missing values generated)
(1,656,288 real changes made, 1,656,288 to missing)
(1,504 missing values generated)
(1,656,288 real changes made, 1,656,288 to missing)
(1,504 missing values generated)
(1,657,344 real changes made, 1,657,344 to missing)
(1,504 missing values generated)
(1,657,344 real changes made, 1,657,344 to missing)
(1,504 missing values generated)
(1,669,056 real changes made, 1,669,056 to missing)
(1,504 missing values generated)
(1,669,056 real changes made, 1,669,056 to missing)
(1,504 missing values generated)
(1,681,888 real changes made, 1,681,888 to missing)
(1,504 missing values generated)
(1,681,888 real changes made, 1,681,888 to missing)
(1,504 missing values generated)
(1,643,904 real changes made, 1,643,904 to missing)
(1,504 missing values generated)
(1,643,904 real changes made, 1,643,904 to missing)
(1,504 missing values generated)
(1,646,784 real changes made, 1,646,784 to missing)
(1,504 missing values generated)
(1,646,784 real changes made, 1,646,784 to missing)
. *** Data for Figures 2 & 4
. ** mo = 1 represents month (-6); mo = 7 represents month (0)
. dis "`group' trend"
trend
. *** All of it:
. tabstat resid_trend_*, by(mo)
Summary statistics: mean
by categories of: mo
mo | resid_.. resid_.. resid_.. resid_.. resid_.. resid_.. resid_.. resid_..
---------+--------------------------------------------------------------------------------
1 | -.0511719 -.0641753 -.0535559 -.0416103 -.055605 -.0593169 -.0460386 -.0517103
2 | -.0438224 -.0549482 -.0451076 -.0413296 -.0483483 -.0464315 -.0385307 -.0419759
3 | -.0369731 -.0436592 -.0386109 -.0333894 -.0375961 -.0324872 -.0323491 -.0370775
4 | -.0282066 -.0330576 -.0301625 -.0245982 -.02597 -.014439 -.0268306 -.0273431
5 | -.01894 -.0169577 -.0217142 -.0132537 -.0111397 .0016235 -.0239647 -.0251314
6 | -.0136744 -.0146034 -.0175594 -.0070157 -.0082523 .0040507 -.01712 -.0234572
7 | -.0161607 -.019122 -.0231626 -.0109904 -.0108994 .0036981 -.0208853 -.0276937
8 | .0342829 .0224074 .0438337 .0309924 .0289818 .0233348 .0257472 .0470596
9 | .0391317 .0433184 .0460369 .0355283 .033617 .0272183 .0352445 .0481965
10 | .0361453 .039487 .0408241 .0349579 .0335915 .0279246 .0341316 .0407359
11 | .0340757 .0384048 .0387338 .0301321 .0324008 .0275719 .0316925 .0354247
12 | .0307559 .0386972 .0323499 .0278596 .0312101 .0268221 .0305797 .0285015
13 | .0279361 .0389896 .0306499 .0272891 .0273978 .0219685 .0268143 .027489
14 | .0246162 .034471 .0242661 .0207612 .0238768 .0194977 .0243753 .0232525
15 | .0217965 .0306396 .0202242 .0150844 .0223948 .0175564 .0219362 .0217027
16 | .0192268 .0302447 .014621 .0136629 .0223693 .0150857 .0254652 .0196156
17 | .0174907 .0291625 .0125307 .0096882 .0200135 .0118206 .0190474 .0159164
18 | .0155878 .0246439 .0135629 .0082667 .0176576 .0094822 .0172714 .0149039
19 | .0133516 .019438 .0134242 .0085473 .0138453 .0070114 .0121798 .0138915
20 | .0097816 .0114829 .0128952 .0037215 .0106156 .0049378 .0104038 .0101923
21 | .0067118 .0083389 .0084629 .001449 .0076772 .0022023 .009291 .0064932
22 | .0043922 .0038203 .0067629 .0017296 .0047388 -3.74e-06 .0068519 .0054807
23 | .0011557 .0020508 .0003791 -.0022451 .0012177 -.0031364 .0050759 .0028562
24 | -.0025809 -.0038424 -.0021015 -.0036666 -.0028858 -.0058719 .0013106 .0002317
25 | -.0064843 -.0104229 -.0041919 -.0084924 -.0090285 -.0075484 -.0051073 -.0050795
26 | -.0092207 -.0156288 -.0082338 -.0073607 -.0113843 -.0106811 -.0088726 -.0082413
27 | -.0132907 -.0194601 -.0122757 -.0113354 -.0154879 -.0111662 -.0119749 -.0071044
28 | -.0163605 -.0212296 -.0167079 -.013608 -.0175524 -.0113865 -.0170665 -.0124156
29 | -.0185134 -.0257483 -.0180176 -.0116252 -.019617 -.0129306 -.0175162 -.0188015
30 | -.0184158 -.0227067 -.0181563 -.0104935 -.0187686 -.0128862 -.0206184 -.0203513
31 | -.0209021 -.0231017 -.0237595 -.0153193 -.0208332 -.0140331 -.0250469 -.0245878
32 | -.0217213 -.026933 -.0262402 -.0133366 -.0182371 -.0094877 -.0254966 -.0309737
---------+--------------------------------------------------------------------------------
Total | 3.28e-10 -6.19e-11 -1.92e-10 1.27e-10 -2.09e-12 1.38e-11 -1.47e-10 -2.34e-10
------------------------------------------------------------------------------------------
mo | resid_.. resid_.. resid_.. resid_.. resid_.. resid_.. resid_.. resid_..
---------+--------------------------------------------------------------------------------
1 | -.0614415 -.0462306 -.0404169 -.0512027 -.0712867 -.0734362 -.0639684 -.0603018
2 | -.0535668 -.0391319 -.0380122 -.0407234 -.0622936 -.0642111 -.0543544 -.0455416
3 | -.04237 -.0343838 -.0310482 -.0340365 -.0468673 -.0488378 -.0434899 -.0402909
4 | -.0293842 -.0276563 -.0265159 -.0247241 -.0339428 -.0359961 -.0317917 -.0315368
5 | -.0176762 -.0195679 -.0152966 -.0145366 -.0235201 -.024601 -.0234282 -.0207806
6 | -.011846 -.0145724 -.0138037 -.0125171 -.0148844 -.0153759 -.0192332 -.0110254
7 | -.0126604 -.0178659 -.0162622 -.0137064 -.0166132 -.0177241 -.0200402 -.0127818
8 | .033548 .0346367 .0271759 .0276946 .0431305 .0446655 .0445967 .0380145
9 | .0419338 .0377765 .0311004 .0314644 .0499792 .051359 .0479581 .0427646
10 | .0406083 .0339881 .0298577 .0320253 .0457486 .0472025 .0425658 .0410083
11 | .0385162 .0319318 .0277031 .030836 .0418754 .0434077 .0400915 .038251
12 | .0354018 .0285146 .0252446 .0296466 .0380022 .0392512 .0355329 .0344926
13 | .0325429 .025716 .0224821 .0272903 .0352012 .0361797 .0338922 .0317353
14 | .0281508 .0229173 .0224552 .0243507 .0324001 .0331082 .0293336 .0279769
15 | .0255475 .019995 .0203006 .0228696 .0306713 .0311217 .024775 .0272216
16 | .0221776 .0178149 .0211856 .0213885 .0260833 .0273269 .0227175 .0194592
17 | .0205965 .016006 .0172073 .0190323 .0239971 .0260637 .0219105 .0172024
18 | .0164599 .0151869 .0165725 .0143423 .0222683 .0240772 .0206866 .0134441
19 | .0156456 .0122645 .0132021 .0108192 .0201821 .0217291 .0173786 .0101862
20 | .0115089 .008971 .0098317 .0081713 .0123775 .0143176 .01282 .0044259
21 | .0068612 .0066673 .0070693 .0055233 .0102912 .0112461 .0090951 .004171
22 | .0032357 .0049821 .0052186 .0040423 .008205 .0081746 .0062039 .0014137
23 | .0016547 .0009463 .0027601 .0046032 .00183 .0011248 .0016453 -.0043466
24 | -.0032486 -.0022235 -.0012181 -.0012536 -.0031154 -.00267 4.59e-06 -.005102
25 | -.008663 -.0053933 -.0051964 -.0047767 -.0098478 -.0093581 -.0066382 -.0063578
26 | -.0115219 -.0080682 -.0088707 -.0085915 -.0130062 -.0131529 -.0107799 -.0081141
27 | -.0161696 -.0118566 -.0149767 -.0132815 -.0179516 -.0183944 -.014088 -.013374
28 | -.016984 -.0160161 -.0165233 -.0156377 -.0203952 -.0214659 -.0173961 -.0166318
29 | -.0216317 -.0170827 -.0174621 -.0191608 -.0235536 -.0252607 -.0227883 -.0158857
30 | -.0209127 -.0172833 -.017489 -.0188916 -.0242103 -.0265239 -.024429 -.0171415
31 | -.0214715 -.0207005 -.0187317 -.0206644 -.0277261 -.0292337 -.0269034 -.0208998
32 | -.0248414 -.0202825 -.0175428 -.0203952 -.0330289 -.0341135 -.0318788 -.0216552
---------+--------------------------------------------------------------------------------
Total | -1.68e-10 -4.72e-10 5.48e-11 2.59e-10 -2.27e-11 -2.06e-10 1.31e-10 -1.24e-10
------------------------------------------------------------------------------------------
mo | resid_.. resid_..
---------+--------------------
1 | -.0266412 -.0269496
2 | -.0246306 -.0248005
3 | -.0201082 -.0200667
4 | -.0162138 -.0163021
5 | -.0069818 -.0067217
6 | -.0065411 -.005865
7 | -.0108099 -.0108241
8 | .0200861 .0187886
9 | .0246085 .0248149
10 | .0228514 .0234098
11 | .0198385 .0200662
12 | .0165115 .0170456
13 | .0119287 .0124096
14 | .0111136 .0119738
15 | .0090426 .0089533
16 | .0110532 .0111024
17 | .010866 .0103435
18 | .0103648 .0099078
19 | .0076658 .0072103
20 | .0046529 .0038667
21 | .0028958 .0018154
22 | .0005108 .0007335
23 | -.0021881 -.001964
24 | -.0052011 -.0043383
25 | -.0079 -.0073589
26 | -.0093431 -.0094101
27 | -.0107862 -.0111383
28 | -.0116014 -.0125433
29 | -.0108466 -.0110404
30 | -.0069522 -.0069527
31 | -.0052556 -.005773
32 | -.0019891 -.0003929
---------+--------------------
Total | 7.07e-10 3.17e-10
------------------------------
.
.
. ** Figure 2
. tabstat resid_trend_conus_conus, by(mo)
Summary for variables: resid_trend_conus_conus
by categories of: mo
mo | mean
---------+----------
1 | -.0511719
2 | -.0438224
3 | -.0369731
4 | -.0282066
5 | -.01894
6 | -.0136744
7 | -.0161607
8 | .0342829
9 | .0391317
10 | .0361453
11 | .0340757
12 | .0307559
13 | .0279361
14 | .0246162
15 | .0217965
16 | .0192268
17 | .0174907
18 | .0155878
19 | .0133516
20 | .0097816
21 | .0067118
22 | .0043922
23 | .0011557
24 | -.0025809
25 | -.0064843
26 | -.0092207
27 | -.0132907
28 | -.0163605
29 | -.0185134
30 | -.0184158
31 | -.0209021
32 | -.0217213
---------+----------
Total | 3.28e-10
--------------------
.
. ** Figure 4A
. tabstat resid_trend_conus_conus resid_trend_worse_location resid_trend_better_location, by(mo)
Summary statistics: mean
by categories of: mo
mo | resid_.. resid_.. resid_..
---------+------------------------------
1 | -.0511719 -.0641753 -.0416103
2 | -.0438224 -.0549482 -.0413296
3 | -.0369731 -.0436592 -.0333894
4 | -.0282066 -.0330576 -.0245982
5 | -.01894 -.0169577 -.0132537
6 | -.0136744 -.0146034 -.0070157
7 | -.0161607 -.019122 -.0109904
8 | .0342829 .0224074 .0309924
9 | .0391317 .0433184 .0355283
10 | .0361453 .039487 .0349579
11 | .0340757 .0384048 .0301321
12 | .0307559 .0386972 .0278596
13 | .0279361 .0389896 .0272891
14 | .0246162 .034471 .0207612
15 | .0217965 .0306396 .0150844
16 | .0192268 .0302447 .0136629
17 | .0174907 .0291625 .0096882
18 | .0155878 .0246439 .0082667
19 | .0133516 .019438 .0085473
20 | .0097816 .0114829 .0037215
21 | .0067118 .0083389 .001449
22 | .0043922 .0038203 .0017296
23 | .0011557 .0020508 -.0022451
24 | -.0025809 -.0038424 -.0036666
25 | -.0064843 -.0104229 -.0084924
26 | -.0092207 -.0156288 -.0073607
27 | -.0132907 -.0194601 -.0113354
28 | -.0163605 -.0212296 -.013608
29 | -.0185134 -.0257483 -.0116252
30 | -.0184158 -.0227067 -.0104935
31 | -.0209021 -.0231017 -.0153193
32 | -.0217213 -.026933 -.0133366
---------+------------------------------
Total | 3.28e-10 -6.19e-11 1.27e-10
----------------------------------------
. ** Figure 4B
. tabstat resid_trend_conus_conus resid_trend_worse_epop resid_trend_better_epop, by(mo)
Summary statistics: mean
by categories of: mo
mo | resid_.. resid_.. resid_..
---------+------------------------------
1 | -.0511719 -.0535559 -.055605
2 | -.0438224 -.0451076 -.0483483
3 | -.0369731 -.0386109 -.0375961
4 | -.0282066 -.0301625 -.02597
5 | -.01894 -.0217142 -.0111397
6 | -.0136744 -.0175594 -.0082523
7 | -.0161607 -.0231626 -.0108994
8 | .0342829 .0438337 .0289818
9 | .0391317 .0460369 .033617
10 | .0361453 .0408241 .0335915
11 | .0340757 .0387338 .0324008
12 | .0307559 .0323499 .0312101
13 | .0279361 .0306499 .0273978
14 | .0246162 .0242661 .0238768
15 | .0217965 .0202242 .0223948
16 | .0192268 .014621 .0223693
17 | .0174907 .0125307 .0200135
18 | .0155878 .0135629 .0176576
19 | .0133516 .0134242 .0138453
20 | .0097816 .0128952 .0106156
21 | .0067118 .0084629 .0076772
22 | .0043922 .0067629 .0047388
23 | .0011557 .0003791 .0012177
24 | -.0025809 -.0021015 -.0028858
25 | -.0064843 -.0041919 -.0090285
26 | -.0092207 -.0082338 -.0113843
27 | -.0132907 -.0122757 -.0154879
28 | -.0163605 -.0167079 -.0175524
29 | -.0185134 -.0180176 -.019617
30 | -.0184158 -.0181563 -.0187686
31 | -.0209021 -.0237595 -.0208332
32 | -.0217213 -.0262402 -.0182371
---------+------------------------------
Total | 3.28e-10 -1.92e-10 -2.09e-12
----------------------------------------
. ** Figure 4C
. tabstat resid_trend_conus_conus resid_trend_more_exp_rent resid_trend_less_exp_rent, by(mo)
Summary statistics: mean
by categories of: mo
mo | resid_.. resid_.. resid_..
---------+------------------------------
1 | -.0511719 -.0614415 -.0462306
2 | -.0438224 -.0535668 -.0391319
3 | -.0369731 -.04237 -.0343838
4 | -.0282066 -.0293842 -.0276563
5 | -.01894 -.0176762 -.0195679
6 | -.0136744 -.011846 -.0145724
7 | -.0161607 -.0126604 -.0178659
8 | .0342829 .033548 .0346367
9 | .0391317 .0419338 .0377765
10 | .0361453 .0406083 .0339881
11 | .0340757 .0385162 .0319318
12 | .0307559 .0354018 .0285146
13 | .0279361 .0325429 .025716
14 | .0246162 .0281508 .0229173
15 | .0217965 .0255475 .019995
16 | .0192268 .0221776 .0178149
17 | .0174907 .0205965 .016006
18 | .0155878 .0164599 .0151869
19 | .0133516 .0156456 .0122645
20 | .0097816 .0115089 .008971
21 | .0067118 .0068612 .0066673
22 | .0043922 .0032357 .0049821
23 | .0011557 .0016547 .0009463
24 | -.0025809 -.0032486 -.0022235
25 | -.0064843 -.008663 -.0053933
26 | -.0092207 -.0115219 -.0080682
27 | -.0132907 -.0161696 -.0118566
28 | -.0163605 -.016984 -.0160161
29 | -.0185134 -.0216317 -.0170827
30 | -.0184158 -.0209127 -.0172833
31 | -.0209021 -.0214715 -.0207005
32 | -.0217213 -.0248414 -.0202825
---------+------------------------------
Total | 3.28e-10 -1.68e-10 -4.72e-10
----------------------------------------
. ** Figure 4D
. tabstat resid_trend_conus_conus resid_trend_worse_amm resid_trend_better_amm, by(mo)
Summary statistics: mean
by categories of: mo
mo | resid_.. resid_.. resid_..
---------+------------------------------
1 | -.0511719 -.0460386 -.0517103
2 | -.0438224 -.0385307 -.0419759
3 | -.0369731 -.0323491 -.0370775
4 | -.0282066 -.0268306 -.0273431
5 | -.01894 -.0239647 -.0251314
6 | -.0136744 -.01712 -.0234572
7 | -.0161607 -.0208853 -.0276937
8 | .0342829 .0257472 .0470596
9 | .0391317 .0352445 .0481965
10 | .0361453 .0341316 .0407359
11 | .0340757 .0316925 .0354247
12 | .0307559 .0305797 .0285015
13 | .0279361 .0268143 .027489
14 | .0246162 .0243753 .0232525
15 | .0217965 .0219362 .0217027
16 | .0192268 .0254652 .0196156
17 | .0174907 .0190474 .0159164
18 | .0155878 .0172714 .0149039
19 | .0133516 .0121798 .0138915
20 | .0097816 .0104038 .0101923
21 | .0067118 .009291 .0064932
22 | .0043922 .0068519 .0054807
23 | .0011557 .0050759 .0028562
24 | -.0025809 .0013106 .0002317
25 | -.0064843 -.0051073 -.0050795
26 | -.0092207 -.0088726 -.0082413
27 | -.0132907 -.0119749 -.0071044
28 | -.0163605 -.0170665 -.0124156
29 | -.0185134 -.0175162 -.0188015
30 | -.0184158 -.0206184 -.0203513
31 | -.0209021 -.0250469 -.0245878
32 | -.0217213 -.0254966 -.0309737
---------+------------------------------
Total | 3.28e-10 -1.47e-10 -2.34e-10
----------------------------------------
. ** Figure 4E
. tabstat resid_trend_conus_conus resid_trend_conus_abroad, by(mo)
Summary statistics: mean
by categories of: mo
mo | resid_.. resid_..
---------+--------------------
1 | -.0511719 -.0593169
2 | -.0438224 -.0464315
3 | -.0369731 -.0324872
4 | -.0282066 -.014439
5 | -.01894 .0016235
6 | -.0136744 .0040507
7 | -.0161607 .0036981
8 | .0342829 .0233348
9 | .0391317 .0272183
10 | .0361453 .0279246
11 | .0340757 .0275719
12 | .0307559 .0268221
13 | .0279361 .0219685
14 | .0246162 .0194977
15 | .0217965 .0175564
16 | .0192268 .0150857
17 | .0174907 .0118206
18 | .0155878 .0094822
19 | .0133516 .0070114
20 | .0097816 .0049378
21 | .0067118 .0022023
22 | .0043922 -3.74e-06
23 | .0011557 -.0031364
24 | -.0025809 -.0058719
25 | -.0064843 -.0075484
26 | -.0092207 -.0106811
27 | -.0132907 -.0111662
28 | -.0163605 -.0113865
29 | -.0185134 -.0129306
30 | -.0184158 -.0128862
31 | -.0209021 -.0140331
32 | -.0217213 -.0094877
---------+--------------------
Total | 3.28e-10 1.38e-11
------------------------------
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