Code:
reghdfe cases_normed i.days#bus_policy_open_risk cases_normed_delay_14days cases_normed_delay_14days_growth residential workplaces transit_stations parks grocery_and_pharmacy retail_and_recreation if days<=368 & days>=331 , absorb( fips )
Code:
reghdfe cases_normed i.days#bus_policy_open_risk cases_normed_delay_14days cases_normed_delay_14days_growth residential workplaces tr
> ansit_stations parks grocery_and_pharmacy retail_and_recreation if days<=368 & days>=331 , absorb( fips )
(dropped 78 singleton observations)
(MWFE estimator converged in 1 iterations)
HDFE Linear regression Number of obs = 2,988
Absorbing 1 HDFE group F( 83, 2402) = 3.61
Prob > F = 0.0000
R-squared = 0.6040
Adj R-squared = 0.5075
Within R-sq. = 0.1108
Root MSE = 0.4728
--------------------------------------------------------------------------------------------------
cases_normed | Coefficient Std. err. t P>|t| [95% conf. interval]
---------------------------------+----------------------------------------------------------------
days#bus_policy_open_risk |
331 1 | .2096405 .1333903 1.57 0.116 -.0519315 .4712124
332 0 | .0290436 .1178141 0.25 0.805 -.2019843 .2600714
332 1 | .1167609 .136788 0.85 0.393 -.1514738 .3849956
333 0 | .0202103 .1238841 0.16 0.870 -.2227206 .2631411
333 1 | .0876057 .1318282 0.66 0.506 -.1709031 .3461145
334 0 | -.0836872 .1223314 -0.68 0.494 -.3235732 .1561988
334 1 | .3293634 .1349964 2.44 0.015 .064642 .5940849
335 0 | -.0519824 .1225741 -0.42 0.672 -.2923444 .1883795
335 1 | .0569438 .1304069 0.44 0.662 -.198778 .3126656
336 0 | -.0497269 .1156959 -0.43 0.667 -.2766011 .1771473
336 1 | .3096333 .1357965 2.28 0.023 .0433429 .5759236
337 0 | -.0742253 .1197005 -0.62 0.535 -.3089522 .1605016
337 1 | .0582338 .1327688 0.44 0.661 -.2021195 .3185871
338 0 | -.0234937 .1142326 -0.21 0.837 -.2474985 .200511
338 1 | .1724191 .1303567 1.32 0.186 -.0832041 .4280424
339 0 | -.0593665 .1191785 -0.50 0.618 -.2930699 .1743368
339 1 | .1652005 .1308348 1.26 0.207 -.0913603 .4217612
340 0 | -.1055072 .1156711 -0.91 0.362 -.3323326 .1213183
340 1 | .1114776 .133643 0.83 0.404 -.1505899 .3735451
341 0 | -.1084851 .1178873 -0.92 0.358 -.3396563 .1226862
341 1 | .0508871 .1362215 0.37 0.709 -.2162367 .3180108
342 0 | -.0646933 .1205707 -0.54 0.592 -.3011266 .17174
342 1 | .1925672 .1317682 1.46 0.144 -.065824 .4509584
343 0 | -.0475884 .1174408 -0.41 0.685 -.2778842 .1827073
343 1 | .1629395 .1286369 1.27 0.205 -.0893112 .4151902
344 0 | -.0611853 .1277101 -0.48 0.632 -.3116188 .1892482
344 1 | .1395029 .137892 1.01 0.312 -.1308967 .4099024
345 0 | -.0902414 .1253265 -0.72 0.472 -.3360007 .1555178
345 1 | .2101073 .1293424 1.62 0.104 -.043527 .4637415
346 0 | .0101026 .1336115 0.08 0.940 -.2519032 .2721085
346 1 | .1752553 .1273663 1.38 0.169 -.0745039 .4250144
347 0 | -.0532696 .1222337 -0.44 0.663 -.2929639 .1864247
347 1 | .1535804 .1298833 1.18 0.237 -.1011146 .4082755
348 0 | -.0573576 .1159042 -0.49 0.621 -.2846401 .1699249
348 1 | .2491161 .1292221 1.93 0.054 -.0042823 .5025146
349 0 | -.0163862 .1191614 -0.14 0.891 -.2500559 .2172835
349 1 | .1651863 .1297673 1.27 0.203 -.0892812 .4196537
350 0 | -.1191376 .1331604 -0.89 0.371 -.3802588 .1419836
350 1 | .1687508 .130931 1.29 0.198 -.0879987 .4255003
351 0 | -.0480022 .1182763 -0.41 0.685 -.2799363 .1839319
351 1 | .1326414 .1288148 1.03 0.303 -.1199583 .385241
352 0 | .0030494 .1195856 0.03 0.980 -.2314522 .2375509
352 1 | .2942891 .1336999 2.20 0.028 .0321101 .5564682
353 0 | .0189665 .1278907 0.15 0.882 -.2318211 .2697541
353 1 | .1465909 .1319872 1.11 0.267 -.1122296 .4054114
354 0 | -.110522 .1299275 -0.85 0.395 -.3653036 .1442596
354 1 | .1523915 .1312036 1.16 0.246 -.1048925 .4096754
355 0 | -.0756447 .1262508 -0.60 0.549 -.3232166 .1719271
355 1 | .060433 .1279538 0.47 0.637 -.1904783 .3113443
356 0 | -.0957646 .1245305 -0.77 0.442 -.3399629 .1484336
356 1 | .0408801 .133175 0.31 0.759 -.2202697 .3020299
357 0 | .138325 .1254909 1.10 0.270 -.1077567 .3844067
357 1 | -.0411404 .1399316 -0.29 0.769 -.3155396 .2332589
358 0 | -.1219758 .139442 -0.87 0.382 -.3954148 .1514633
358 1 | .109354 .1297075 0.84 0.399 -.1449962 .3637043
359 0 | .0039393 .1240928 0.03 0.975 -.2394007 .2472793
359 1 | .2560763 .135518 1.89 0.059 -.009668 .5218206
360 0 | -.0592402 .1347542 -0.44 0.660 -.3234868 .2050064
360 1 | .5000361 .1370191 3.65 0.000 .2313483 .768724
361 0 | -.1226208 .1245707 -0.98 0.325 -.366898 .1216565
361 1 | .15382 .1383023 1.11 0.266 -.1173843 .4250243
362 0 | -.2125093 .1265772 -1.68 0.093 -.4607211 .0357025
362 1 | .0132899 .1403392 0.09 0.925 -.2619086 .2884884
363 0 | -.2454007 .1270654 -1.93 0.054 -.49457 .0037685
363 1 | -.1819625 .1400782 -1.30 0.194 -.4566491 .0927242
364 0 | .1367787 .130235 1.05 0.294 -.1186059 .3921632
364 1 | -.0606629 .1295566 -0.47 0.640 -.3147172 .1933914
365 0 | -.1406556 .1307284 -1.08 0.282 -.3970078 .1156966
365 1 | .0483386 .1360251 0.36 0.722 -.2184 .3150773
366 0 | .0631108 .1278295 0.49 0.622 -.1875567 .3137783
366 1 | -.0712824 .132783 -0.54 0.591 -.3316635 .1890987
367 0 | .0174997 .1255504 0.14 0.889 -.2286986 .2636979
367 1 | -.0645931 .140157 -0.46 0.645 -.3394342 .210248
368 0 | -.1548754 .1278592 -1.21 0.226 -.4056013 .0958504
368 1 | .01671 .1327696 0.13 0.900 -.2436448 .2770649
|
cases_normed_delay_14days | .2925883 .022953 12.75 0.000 .2475785 .3375981
cases_normed_delay_14days_growth | .0009109 .0002954 3.08 0.002 .0003316 .0014902
residential | -.0551442 .6125502 -0.09 0.928 -1.256326 1.146037
workplaces | -.1953761 .2616483 -0.75 0.455 -.7084558 .3177037
transit_stations | .1590853 .0618105 2.57 0.010 .0378778 .2802927
parks | -.0212484 .0286065 -0.74 0.458 -.0773444 .0348475
grocery_and_pharmacy | -.0191809 .1138943 -0.17 0.866 -.2425221 .2041602
retail_and_recreation | -.2590651 .1554198 -1.67 0.096 -.5638359 .0457056
_cons | .182201 .8551501 0.21 0.831 -1.494707 1.859109
--------------------------------------------------------------------------------------------------
Absorbed degrees of freedom:
-----------------------------------------------------+
Absorbed FE | Categories - Redundant = Num. Coefs |
-------------+---------------------------------------|
fips | 503 0 503 |
-----------------------------------------------------+if I try to build same regression but without intersection term and by add condition to the end of regression one when bus_policy_open_risk==0 and other when bus_policy_open_risk==1 as follows:
Code:
reghdfe cases_normed i.days cases_normed_delay_14days cases_normed_delay_14days_growth residential workplaces transit_stations parks grocery_and_pharmacy retail_and_recreation if days<=368 & days>=331 &bus_policy_open_risk==0 , absorb( fips ) reghdfe cases_normed i.days cases_normed_delay_14days cases_normed_delay_14days_growth residential workplaces transit_stations parks grocery_and_pharmacy retail_and_recreation if days<=368 & days>=331 &bus_policy_open_risk==1 , absorb( fips )
0 Response to intersection variable
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