for h=0. it is a panel fixed effect.
. reg f(0).fer_1519 l(0/2)dum_pan l(1/2)fer_1519 i.ifscode i.year, vce(cluster ifscode)
note: 2016.year omitted because of collinearity
note: 2017.year omitted because of collinearity
note: 2018.year omitted because of collinearity
Linear regression Number of obs = 3,124
F(22, 141) = .
Prob > F = .
R-squared = 1.0000
Root MSE = .1803
(Std. Err. adjusted for 142 clusters in ifscode)
------------------------------------------------------------------------------
| Robust
fer_1519 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
dum_pan |
--. | -.0700011 .0132664 -5.28 0.000 -.096228 -.0437743
L1. | -.0882008 .0381316 -2.31 0.022 -.1635844 -.0128173
L2. | -.0633042 .0403122 -1.57 0.119 -.1429986 .0163902
|
fer_1519 |
L1. | 1.913321 .0105857 180.75 0.000 1.892394 1.934248
L2. | -.9287707 .0109583 -84.76 0.000 -.9504345 -.9071069
|
ifscode |
112 | -.2082361 .0284356 -7.32 0.000 -.2644513 -.1520208
122 | -.3160992 .0517083 -6.11 0.000 -.4183229 -.2138754
124 | -.3801015 .0569822 -6.67 0.000 -.4927515 -.2674516
128 | -.401715 .062295 -6.45 0.000 -.524868 -.2785621
132 | -.3954526 .0607292 -6.51 0.000 -.5155101 -.2753952
note: 2016.year omitted because of collinearity
note: 2017.year omitted because of collinearity
note: 2018.year omitted because of collinearity
Linear regression Number of obs = 3,124
F(22, 141) = .
Prob > F = .
R-squared = 1.0000
Root MSE = .1803
(Std. Err. adjusted for 142 clusters in ifscode)
------------------------------------------------------------------------------
| Robust
fer_1519 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
dum_pan |
--. | -.0700011 .0132664 -5.28 0.000 -.096228 -.0437743
L1. | -.0882008 .0381316 -2.31 0.022 -.1635844 -.0128173
L2. | -.0633042 .0403122 -1.57 0.119 -.1429986 .0163902
|
fer_1519 |
L1. | 1.913321 .0105857 180.75 0.000 1.892394 1.934248
L2. | -.9287707 .0109583 -84.76 0.000 -.9504345 -.9071069
|
ifscode |
112 | -.2082361 .0284356 -7.32 0.000 -.2644513 -.1520208
122 | -.3160992 .0517083 -6.11 0.000 -.4183229 -.2138754
124 | -.3801015 .0569822 -6.67 0.000 -.4927515 -.2674516
128 | -.401715 .062295 -6.45 0.000 -.524868 -.2785621
132 | -.3954526 .0607292 -6.51 0.000 -.5155101 -.2753952
. reg f(1).fer_1519 l(0/2)dum_pan l(1/2)fer_1519 i.ifscode i.year, vce(cluster ifscode)
note: 2016.year omitted because of collinearity
note: 2017.year omitted because of collinearity
note: 2018.year omitted because of collinearity
Linear regression Number of obs = 2,982
F(21, 141) = .
Prob > F = .
R-squared = 0.9999
Root MSE = .51137
(Std. Err. adjusted for 142 clusters in ifscode)
------------------------------------------------------------------------------
| Robust
F.fer_1519 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
dum_pan |
--. | -.1727896 .034256 -5.04 0.000 -.2405114 -.1050677
L1. | -.2308522 .1200237 -1.92 0.056 -.4681308 .0064264
L2. | -.1739776 .1265657 -1.37 0.171 -.4241892 .0762341
|
fer_1519 |
L1. | 2.687775 .0315751 85.12 0.000 2.625353 2.750197
L2. | -1.733744 .0324112 -53.49 0.000 -1.797819 -1.66967
|
ifscode |
112 | -.5915743 .0903852 -6.55 0.000 -.7702597 -.4128889
122 | -.9061677 .1650835 -5.49 0.000 -1.232526 -.579809
124 | -1.091401 .1814196 -6.02 0.000 -1.450055 -.7327473
128 | -1.149681 .1987468 -5.78 0.000 -1.542589 -.756772
132 | -1.135736 .1935922 -5.87 0.000 -1.518455 -.753018
134 | -.9508319 .1721041 -5.52 0.000 -1.29107 -.6105938
136 | -1.123272 .1972289 -5.70 0.000 -1.51318 -.7333638
138 | -1.195506 .2016101 -5.93 0.000 -1.594075 -.7969363
142 | -1.037845 .1798301 -5.77 0.000 -1.393357 -.6823336
144 | -1.070217 .19825 -5.40 0.000 -1.462144 -.6782902
146 | -1.239059 .2071986 -5.98 0.000 -1.648676 -.8294413
156 | -.8182849 .1473171 -5.55 0.000 -1.109521 -.5270491
158 | -1.233373 .20714 -5.95 0.000 -1.642875 -.8238717
172 | -1.062606 .1822183 -5.83 0.000 -1.422839 -.7023724
174 | -.9356728 .1743941 -5.37 0.000 -1.280438 -.5909076
178 | -.9670271 .1432897 -6.75 0.000 -1.250301 -.6837532
182 | -.8739175 .1369005 -6.38 0.000 -1.14456 -.6032745
184 | -.9705546 .1788233 -5.43 0.000 -1.324076 -.6170331
186 | .139465 .0139447 10.00 0.000 .1118974 .1670327
193 | -.740408 .1403304 -5.28 0.000 -1.017832 -.4629845
196 | -.2757669 .079364 -3.47 0.001 -.4326641 -.1188696
199 | 2.065073 .1823133 11.33 0.000 1.704652 2.425494
213 | 1.683502 .1533834 10.98 0.000 1.380273 1.98673
218 | 1.97502 .2435504 8.11 0.000 1.493538 2.456503
223 | 1.604315 .2026068 7.92 0.000 1.203776 2.004855
228 | .8464157 .1027886 8.23 0.000 .6432098 1.049622
233 | 2.052246 .2753001 7.45 0.000 1.507996 2.596495
238 | 1.541571 .1663234 9.27 0.000 1.212761 1.870381
243 | 3.269201 .3775532 8.66 0.000 2.522804 4.015598
248 | 2.419799 .260006 9.31 0.000 1.905785 2.933813
253 | 2.24209 .2596991 8.63 0.000 1.728682 2.755497
258 | 2.466655 .3340579 7.38 0.000 1.806246 3.127065
263 | 1.248017 .1432606 8.71 0.000 .9648007 1.531233
268 | 2.566031 .3571181 7.19 0.000 1.860033 3.272029
273 | 1.664097 .1961232 8.48 0.000 1.276375 2.051819
278 | 3.243425 .3981868 8.15 0.000 2.456237 4.030614
283 | 2.618137 .2911668 8.99 0.000 2.04252 3.193754
288 | 2.163309 .2420031 8.94 0.000 1.684886 2.641733
293 | 1.603791 .1748203 9.17 0.000 1.258183 1.949399
298 | 1.505391 .1432744 10.51 0.000 1.222147 1.788635
299 | 2.746048 .3001471 9.15 0.000 2.152678 3.339419
343 | 1.521637 .2165274 7.03 0.000 1.093577 1.949697
429 | .8314418 .0415506 20.01 0.000 .7492991 .9135844
433 | 1.990804 .191351 10.40 0.000 1.612516 2.369092
436 | -.8763806 .1496425 -5.86 0.000 -1.172214 -.5805476
439 | .0856794 .0446299 1.92 0.057 -.0025508 .1739097
443 | -.9790491 .1365037 -7.17 0.000 -1.248908 -.7091906
446 | -.4449836 .1123125 -3.96 0.000 -.6670177 -.2229495
449 | -.1940233 .098306 -1.97 0.050 -.3883675 .000321
453 | -.5023363 .1333578 -3.77 0.000 -.7659755 -.238697
456 | -.5263583 .1173583 -4.49 0.000 -.7583677 -.2943489
466 | -.5734802 .0915709 -6.26 0.000 -.7545095 -.3924509
469 | 1.328961 .0942557 14.10 0.000 1.142624 1.515298
474 | 2.393978 .2625125 9.12 0.000 1.875009 2.912947
512 | 2.753176 .5495275 5.01 0.000 1.666798 3.839555
513 | 3.17461 .3598585 8.82 0.000 2.463195 3.886026
518 | .0779478 .0453934 1.72 0.088 -.0117918 .1676874
522 | 1.212034 .0705533 17.18 0.000 1.072555 1.351513
524 | -.3884843 .0926257 -4.19 0.000 -.5715989 -.2053697
532 | -1.24906 .2127765 -5.87 0.000 -1.669704 -.8284154
534 | .0810525 .080104 1.01 0.313 -.0773076 .2394126
536 | 1.088243 .0791754 13.74 0.000 .931719 1.244768
542 | -1.318587 .2218686 -5.94 0.000 -1.757206 -.8799684
544 | 2.126944 .2132851 9.97 0.000 1.705294 2.548594
548 | -.689392 .1581709 -4.36 0.000 -1.002085 -.3766989
558 | 2.385973 .3349378 7.12 0.000 1.723823 3.048122
564 | .7967861 .058393 13.65 0.000 .6813472 .912225
566 | 1.217358 .1027367 11.85 0.000 1.014255 1.420461
576 | -1.183792 .1989415 -5.95 0.000 -1.577086 -.7904987
578 | .7813435 .0612332 12.76 0.000 .6602896 .9023973
582 | .0091164 .0702657 0.13 0.897 -.1297942 .1480269
612 | -.7932107 .1680411 -4.72 0.000 -1.125416 -.4610049
614 | 6.195809 .8422464 7.36 0.000 4.530745 7.860872
616 | 1.254469 .0854005 14.69 0.000 1.085639 1.4233
618 | 1.445024 .1734019 8.33 0.000 1.10222 1.787828
622 | 4.169506 .5817537 7.17 0.000 3.019418 5.319593
626 | 4.80734 .6115683 7.86 0.000 3.598311 6.016368
628 | 6.575712 .9235786 7.12 0.000 4.74986 8.401563
634 | 3.925721 .4728222 8.30 0.000 2.990983 4.860458
636 | 4.37911 .5161419 8.48 0.000 3.358733 5.399488
638 | 2.987927 .4085839 7.31 0.000 2.180185 3.79567
643 | 1.639918 .22389 7.32 0.000 1.197303 2.082534
644 | 2.060051 .3253825 6.33 0.000 1.416792 2.70331
646 | 3.841064 .4963839 7.74 0.000 2.859747 4.822381
648 | 2.892388 .4084336 7.08 0.000 2.084943 3.699833
652 | 2.058672 .2256363 9.12 0.000 1.612605 2.50474
654 | 3.808453 .4779008 7.97 0.000 2.863675 4.75323
656 | 5.309544 .6950507 7.64 0.000 3.935477 6.683612
662 | 4.375966 .5402978 8.10 0.000 3.307834 5.444098
664 | 2.49229 .3411667 7.31 0.000 1.817827 3.166753
666 | 2.894928 .2873928 10.07 0.000 2.326772 3.463084
668 | 5.203267 .6096498 8.53 0.000 3.998031 6.408503
672 | -1.072337 .1958118 -5.48 0.000 -1.459443 -.6852304
674 | 4.006304 .5733936 6.99 0.000 2.872744 5.139864
676 | 5.099002 .6568968 7.76 0.000 3.800362 6.397642
678 | 6.714167 .8455252 7.94 0.000 5.042622 8.385712
682 | 2.174016 .2868856 7.58 0.000 1.606863 2.741169
686 | .0839399 .0556352 1.51 0.134 -.026047 .1939269
688 | 5.856487 .7775511 7.53 0.000 4.319322 7.393652
692 | 7.520897 .9936445 7.57 0.000 5.55653 9.485264
694 | 3.875572 .5022313 7.72 0.000 2.882695 4.868449
698 | 2.786728 .3792741 7.35 0.000 2.036929 3.536527
714 | .5649814 .0421369 13.41 0.000 .4816795 .6482833
722 | 2.454238 .3261593 7.52 0.000 1.809443 3.099032
724 | 4.51892 .6273615 7.20 0.000 3.278669 5.759171
728 | 1.77082 .24669 7.18 0.000 1.283131 2.258509
732 | 2.073399 .3732282 5.56 0.000 1.335553 2.811246
738 | 4.383783 .532063 8.24 0.000 3.331931 5.435635
742 | 2.967781 .3166846 9.37 0.000 2.341717 3.593845
744 | -.927909 .1912475 -4.85 0.000 -1.305992 -.5498257
746 | 4.603928 .6730202 6.84 0.000 3.273413 5.934443
748 | 3.812863 .52571 7.25 0.000 2.773571 4.852156
754 | 4.539439 .6417482 7.07 0.000 3.270746 5.808131
853 | 1.27492 .1383663 9.21 0.000 1.001379 1.54846
911 | .3520402 .0360692 9.76 0.000 .2807338 .4233465
912 | 1.021667 .0726288 14.07 0.000 .8780844 1.165249
913 | -.389817 .0869907 -4.48 0.000 -.5617916 -.2178424
914 | -.4897248 .1277974 -3.83 0.000 -.7423715 -.237078
915 | 1.022694 .0808494 12.65 0.000 .8628607 1.182528
916 | .2351755 .047975 4.90 0.000 .1403323 .3300188
917 | .3658088 .0146551 24.96 0.000 .3368368 .3947809
918 | .9063652 .0455061 19.92 0.000 .8164026 .9963277
921 | .0657188 .0296375 2.22 0.028 .0071275 .1243102
922 | -.0317834 .0620683 -0.51 0.609 -.1544883 .0909214
923 | 1.270527 .0737662 17.22 0.000 1.124696 1.416358
924 | -.9769083 .1844443 -5.30 0.000 -1.341542 -.6122746
925 | -.2795265 .0991814 -2.82 0.006 -.4756013 -.0834518
926 | .1144368 .0444018 2.58 0.011 .0266574 .2022161
927 | .1700612 .0821026 2.07 0.040 .0077499 .3323724
935 | -.4184574 .1592503 -2.63 0.010 -.7332844 -.1036304
936 | .1256339 .1030558 1.22 0.225 -.0781003 .3293681
941 | -.2337415 .1267034 -1.84 0.067 -.4842256 .0167425
944 | -.0850126 .1119092 -0.76 0.449 -.3062494 .1362241
946 | -.4714179 .1081011 -4.36 0.000 -.6851263 -.2577094
948 | .091659 .0957924 0.96 0.340 -.0977161 .2810341
960 | -.8992374 .1491668 -6.03 0.000 -1.19413 -.6043448
961 | -1.051317 .1978802 -5.31 0.000 -1.442512 -.660121
962 | -.3956467 .093093 -4.25 0.000 -.5796851 -.2116082
963 | -.8338384 .1309158 -6.37 0.000 -1.09265 -.5750269
964 | -.6536431 .1404537 -4.65 0.000 -.9313103 -.3759758
968 | .4968874 .043264 11.49 0.000 .4113574 .5824174
|
year |
1999 | .0296389 .019267 1.54 0.126 -.0084505 .0677284
2000 | .0747544 .0395069 1.89 0.061 -.0033481 .1528569
2001 | .0952811 .0573225 1.66 0.099 -.0180416 .2086
note: 2016.year omitted because of collinearity
note: 2017.year omitted because of collinearity
note: 2018.year omitted because of collinearity
Linear regression Number of obs = 2,982
F(21, 141) = .
Prob > F = .
R-squared = 0.9999
Root MSE = .51137
(Std. Err. adjusted for 142 clusters in ifscode)
------------------------------------------------------------------------------
| Robust
F.fer_1519 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
dum_pan |
--. | -.1727896 .034256 -5.04 0.000 -.2405114 -.1050677
L1. | -.2308522 .1200237 -1.92 0.056 -.4681308 .0064264
L2. | -.1739776 .1265657 -1.37 0.171 -.4241892 .0762341
|
fer_1519 |
L1. | 2.687775 .0315751 85.12 0.000 2.625353 2.750197
L2. | -1.733744 .0324112 -53.49 0.000 -1.797819 -1.66967
|
ifscode |
112 | -.5915743 .0903852 -6.55 0.000 -.7702597 -.4128889
122 | -.9061677 .1650835 -5.49 0.000 -1.232526 -.579809
124 | -1.091401 .1814196 -6.02 0.000 -1.450055 -.7327473
128 | -1.149681 .1987468 -5.78 0.000 -1.542589 -.756772
132 | -1.135736 .1935922 -5.87 0.000 -1.518455 -.753018
134 | -.9508319 .1721041 -5.52 0.000 -1.29107 -.6105938
136 | -1.123272 .1972289 -5.70 0.000 -1.51318 -.7333638
138 | -1.195506 .2016101 -5.93 0.000 -1.594075 -.7969363
142 | -1.037845 .1798301 -5.77 0.000 -1.393357 -.6823336
144 | -1.070217 .19825 -5.40 0.000 -1.462144 -.6782902
146 | -1.239059 .2071986 -5.98 0.000 -1.648676 -.8294413
156 | -.8182849 .1473171 -5.55 0.000 -1.109521 -.5270491
158 | -1.233373 .20714 -5.95 0.000 -1.642875 -.8238717
172 | -1.062606 .1822183 -5.83 0.000 -1.422839 -.7023724
174 | -.9356728 .1743941 -5.37 0.000 -1.280438 -.5909076
178 | -.9670271 .1432897 -6.75 0.000 -1.250301 -.6837532
182 | -.8739175 .1369005 -6.38 0.000 -1.14456 -.6032745
184 | -.9705546 .1788233 -5.43 0.000 -1.324076 -.6170331
186 | .139465 .0139447 10.00 0.000 .1118974 .1670327
193 | -.740408 .1403304 -5.28 0.000 -1.017832 -.4629845
196 | -.2757669 .079364 -3.47 0.001 -.4326641 -.1188696
199 | 2.065073 .1823133 11.33 0.000 1.704652 2.425494
213 | 1.683502 .1533834 10.98 0.000 1.380273 1.98673
218 | 1.97502 .2435504 8.11 0.000 1.493538 2.456503
223 | 1.604315 .2026068 7.92 0.000 1.203776 2.004855
228 | .8464157 .1027886 8.23 0.000 .6432098 1.049622
233 | 2.052246 .2753001 7.45 0.000 1.507996 2.596495
238 | 1.541571 .1663234 9.27 0.000 1.212761 1.870381
243 | 3.269201 .3775532 8.66 0.000 2.522804 4.015598
248 | 2.419799 .260006 9.31 0.000 1.905785 2.933813
253 | 2.24209 .2596991 8.63 0.000 1.728682 2.755497
258 | 2.466655 .3340579 7.38 0.000 1.806246 3.127065
263 | 1.248017 .1432606 8.71 0.000 .9648007 1.531233
268 | 2.566031 .3571181 7.19 0.000 1.860033 3.272029
273 | 1.664097 .1961232 8.48 0.000 1.276375 2.051819
278 | 3.243425 .3981868 8.15 0.000 2.456237 4.030614
283 | 2.618137 .2911668 8.99 0.000 2.04252 3.193754
288 | 2.163309 .2420031 8.94 0.000 1.684886 2.641733
293 | 1.603791 .1748203 9.17 0.000 1.258183 1.949399
298 | 1.505391 .1432744 10.51 0.000 1.222147 1.788635
299 | 2.746048 .3001471 9.15 0.000 2.152678 3.339419
343 | 1.521637 .2165274 7.03 0.000 1.093577 1.949697
429 | .8314418 .0415506 20.01 0.000 .7492991 .9135844
433 | 1.990804 .191351 10.40 0.000 1.612516 2.369092
436 | -.8763806 .1496425 -5.86 0.000 -1.172214 -.5805476
439 | .0856794 .0446299 1.92 0.057 -.0025508 .1739097
443 | -.9790491 .1365037 -7.17 0.000 -1.248908 -.7091906
446 | -.4449836 .1123125 -3.96 0.000 -.6670177 -.2229495
449 | -.1940233 .098306 -1.97 0.050 -.3883675 .000321
453 | -.5023363 .1333578 -3.77 0.000 -.7659755 -.238697
456 | -.5263583 .1173583 -4.49 0.000 -.7583677 -.2943489
466 | -.5734802 .0915709 -6.26 0.000 -.7545095 -.3924509
469 | 1.328961 .0942557 14.10 0.000 1.142624 1.515298
474 | 2.393978 .2625125 9.12 0.000 1.875009 2.912947
512 | 2.753176 .5495275 5.01 0.000 1.666798 3.839555
513 | 3.17461 .3598585 8.82 0.000 2.463195 3.886026
518 | .0779478 .0453934 1.72 0.088 -.0117918 .1676874
522 | 1.212034 .0705533 17.18 0.000 1.072555 1.351513
524 | -.3884843 .0926257 -4.19 0.000 -.5715989 -.2053697
532 | -1.24906 .2127765 -5.87 0.000 -1.669704 -.8284154
534 | .0810525 .080104 1.01 0.313 -.0773076 .2394126
536 | 1.088243 .0791754 13.74 0.000 .931719 1.244768
542 | -1.318587 .2218686 -5.94 0.000 -1.757206 -.8799684
544 | 2.126944 .2132851 9.97 0.000 1.705294 2.548594
548 | -.689392 .1581709 -4.36 0.000 -1.002085 -.3766989
558 | 2.385973 .3349378 7.12 0.000 1.723823 3.048122
564 | .7967861 .058393 13.65 0.000 .6813472 .912225
566 | 1.217358 .1027367 11.85 0.000 1.014255 1.420461
576 | -1.183792 .1989415 -5.95 0.000 -1.577086 -.7904987
578 | .7813435 .0612332 12.76 0.000 .6602896 .9023973
582 | .0091164 .0702657 0.13 0.897 -.1297942 .1480269
612 | -.7932107 .1680411 -4.72 0.000 -1.125416 -.4610049
614 | 6.195809 .8422464 7.36 0.000 4.530745 7.860872
616 | 1.254469 .0854005 14.69 0.000 1.085639 1.4233
618 | 1.445024 .1734019 8.33 0.000 1.10222 1.787828
622 | 4.169506 .5817537 7.17 0.000 3.019418 5.319593
626 | 4.80734 .6115683 7.86 0.000 3.598311 6.016368
628 | 6.575712 .9235786 7.12 0.000 4.74986 8.401563
634 | 3.925721 .4728222 8.30 0.000 2.990983 4.860458
636 | 4.37911 .5161419 8.48 0.000 3.358733 5.399488
638 | 2.987927 .4085839 7.31 0.000 2.180185 3.79567
643 | 1.639918 .22389 7.32 0.000 1.197303 2.082534
644 | 2.060051 .3253825 6.33 0.000 1.416792 2.70331
646 | 3.841064 .4963839 7.74 0.000 2.859747 4.822381
648 | 2.892388 .4084336 7.08 0.000 2.084943 3.699833
652 | 2.058672 .2256363 9.12 0.000 1.612605 2.50474
654 | 3.808453 .4779008 7.97 0.000 2.863675 4.75323
656 | 5.309544 .6950507 7.64 0.000 3.935477 6.683612
662 | 4.375966 .5402978 8.10 0.000 3.307834 5.444098
664 | 2.49229 .3411667 7.31 0.000 1.817827 3.166753
666 | 2.894928 .2873928 10.07 0.000 2.326772 3.463084
668 | 5.203267 .6096498 8.53 0.000 3.998031 6.408503
672 | -1.072337 .1958118 -5.48 0.000 -1.459443 -.6852304
674 | 4.006304 .5733936 6.99 0.000 2.872744 5.139864
676 | 5.099002 .6568968 7.76 0.000 3.800362 6.397642
678 | 6.714167 .8455252 7.94 0.000 5.042622 8.385712
682 | 2.174016 .2868856 7.58 0.000 1.606863 2.741169
686 | .0839399 .0556352 1.51 0.134 -.026047 .1939269
688 | 5.856487 .7775511 7.53 0.000 4.319322 7.393652
692 | 7.520897 .9936445 7.57 0.000 5.55653 9.485264
694 | 3.875572 .5022313 7.72 0.000 2.882695 4.868449
698 | 2.786728 .3792741 7.35 0.000 2.036929 3.536527
714 | .5649814 .0421369 13.41 0.000 .4816795 .6482833
722 | 2.454238 .3261593 7.52 0.000 1.809443 3.099032
724 | 4.51892 .6273615 7.20 0.000 3.278669 5.759171
728 | 1.77082 .24669 7.18 0.000 1.283131 2.258509
732 | 2.073399 .3732282 5.56 0.000 1.335553 2.811246
738 | 4.383783 .532063 8.24 0.000 3.331931 5.435635
742 | 2.967781 .3166846 9.37 0.000 2.341717 3.593845
744 | -.927909 .1912475 -4.85 0.000 -1.305992 -.5498257
746 | 4.603928 .6730202 6.84 0.000 3.273413 5.934443
748 | 3.812863 .52571 7.25 0.000 2.773571 4.852156
754 | 4.539439 .6417482 7.07 0.000 3.270746 5.808131
853 | 1.27492 .1383663 9.21 0.000 1.001379 1.54846
911 | .3520402 .0360692 9.76 0.000 .2807338 .4233465
912 | 1.021667 .0726288 14.07 0.000 .8780844 1.165249
913 | -.389817 .0869907 -4.48 0.000 -.5617916 -.2178424
914 | -.4897248 .1277974 -3.83 0.000 -.7423715 -.237078
915 | 1.022694 .0808494 12.65 0.000 .8628607 1.182528
916 | .2351755 .047975 4.90 0.000 .1403323 .3300188
917 | .3658088 .0146551 24.96 0.000 .3368368 .3947809
918 | .9063652 .0455061 19.92 0.000 .8164026 .9963277
921 | .0657188 .0296375 2.22 0.028 .0071275 .1243102
922 | -.0317834 .0620683 -0.51 0.609 -.1544883 .0909214
923 | 1.270527 .0737662 17.22 0.000 1.124696 1.416358
924 | -.9769083 .1844443 -5.30 0.000 -1.341542 -.6122746
925 | -.2795265 .0991814 -2.82 0.006 -.4756013 -.0834518
926 | .1144368 .0444018 2.58 0.011 .0266574 .2022161
927 | .1700612 .0821026 2.07 0.040 .0077499 .3323724
935 | -.4184574 .1592503 -2.63 0.010 -.7332844 -.1036304
936 | .1256339 .1030558 1.22 0.225 -.0781003 .3293681
941 | -.2337415 .1267034 -1.84 0.067 -.4842256 .0167425
944 | -.0850126 .1119092 -0.76 0.449 -.3062494 .1362241
946 | -.4714179 .1081011 -4.36 0.000 -.6851263 -.2577094
948 | .091659 .0957924 0.96 0.340 -.0977161 .2810341
960 | -.8992374 .1491668 -6.03 0.000 -1.19413 -.6043448
961 | -1.051317 .1978802 -5.31 0.000 -1.442512 -.660121
962 | -.3956467 .093093 -4.25 0.000 -.5796851 -.2116082
963 | -.8338384 .1309158 -6.37 0.000 -1.09265 -.5750269
964 | -.6536431 .1404537 -4.65 0.000 -.9313103 -.3759758
968 | .4968874 .043264 11.49 0.000 .4113574 .5824174
|
year |
1999 | .0296389 .019267 1.54 0.126 -.0084505 .0677284
2000 | .0747544 .0395069 1.89 0.061 -.0033481 .1528569
2001 | .0952811 .0573225 1.66 0.099 -.0180416 .2086
I hope I receive your guidance so soon. thank you so much.
0 Response to ploting the panel data by using "LPM" method
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