I create a new topic here since my last topic is a bit unclear.
I know how to tabulate the analytical weights but I am not sure how to create the analytical weight for the variable in the fixed-effect model. My dep var.
Code:
pv_small
Code:
tab pv_small [aw=pv_small], m
net |
addition |
solar PV |
residential | Freq. Percent Cum.
------------+-----------------------------------
.001 |.0000838047 0.00 0.00
.002 |.0000558698 0.00 0.00
.0025 | .000034919 0.00 0.00
.005 | .000069837 0.00 0.00
.007 | .000097772 0.00 0.00
.01 | .000698372 0.00 0.00
.015 | .000209512 0.00 0.00
.02 | .000279349 0.00 0.00
.021 | .000293316 0.00 0.00
.025 | .001745931 0.00 0.00
.026 | .000363154 0.00 0.00
.03 | .000838047 0.00 0.00
.033 |.0004609258 0.00 0.00
.034 | .000474893 0.00 0.00
.0397 | .000554508 0.00 0.00
.05 | .004190235 0.00 0.00
.053 | .000740275 0.00 0.00
.055 | .00076821 0.00 0.00
.061 | .000852014 0.00 0.00
.062 |.0008659818 0.00 0.00
.075 | .001047559 0.00 0.00
.081 | .001131363 0.00 0.00
.095 | .001326908 0.00 0.01
.1 | .05447305 0.02 0.02
.11 | .001536419 0.00 0.02
.113 | .001578322 0.00 0.02
.116 | .001620224 0.00 0.02
.125 | .001745931 0.00 0.02
.126 | .001759899 0.00 0.02
.143 | .001997345 0.00 0.02
.178 | .002486206 0.00 0.02
.19 | .002653815 0.00 0.03
.2 | .013967449 0.00 0.03
.236 | .003296318 0.00 0.03
.238 | .006648506 0.00 0.03
.24 | .003352188 0.00 0.03
.242 | .003380123 0.00 0.03
.25 | .045394208 0.01 0.05
.255 | .003561699 0.00 0.05
.28 | .007821771 0.00 0.05
.29 | .00405056 0.00 0.05
.296 | .004134365 0.00 0.05
.3 | .016760939 0.00 0.06
.33 |.0092185164 0.00 0.06
.345 | .00481877 0.00 0.06
.35 | .009777214 0.00 0.07
.362 | .005056216 0.00 0.07
.378 | .005279695 0.00 0.07
.387 | .005405403 0.00 0.07
.389 | .005433337 0.00 0.07
.4 |.0055869795 0.00 0.07
.424 | .005922198 0.00 0.08
.439 | .00613171 0.00 0.08
.48 | .006704375 0.00 0.08
.488 | .006816115 0.00 0.08
.49 | .0136881 0.00 0.09
.495 | .006913887 0.00 0.09
.5 | .083804691 0.02 0.11
.54 | .007542423 0.00 0.11
.55 | .015364194 0.00 0.12
.56 | .015643542 0.00 0.12
.6 | .025141408 0.01 0.13
.63 | .008799493 0.00 0.13
.65 | .009078841 0.00 0.14
.75 |.0104755864 0.00 0.14
.79 | .011034285 0.00 0.14
.8 | .033521877 0.01 0.15
.827 | .01155108 0.00 0.16
.85 | .011872332 0.00 0.16
.876 | .012235485 0.00 0.16
.907 |.0126684759 0.00 0.17
.95 | .013269076 0.00 0.17
.96 |.0268175006 0.01 0.18
1 | .111739588 0.03 0.21
1.09 | .015224519 0.00 0.22
1.1 | .030728387 0.01 0.22
1.133 | .015825119 0.00 0.23
1.15 | .016062565 0.00 0.23
1.2 | .016760939 0.00 0.24
1.22 | .017040288 0.01 0.24
1.269 | .017724693 0.01 0.25
1.5 | .104755864 0.03 0.28
1.7 | .023744663 0.01 0.29
2 | .083804691 0.02 0.31
2.1 |.0293316406 0.01 0.32
2.4 | .033521878 0.01 0.33
2.542 | .035505255 0.01 0.34
2.84 | .039667553 0.01 0.35
2.89 | .040365928 0.01 0.36
3 | .083804691 0.02 0.39
3.5 | .04888607 0.01 0.40
4 | .167609382 0.05 0.45
4.08 | .056987189 0.02 0.47
4.12 | .057545886 0.02 0.49
4.5 | .062853518 0.02 0.50
4.8 | .067043756 0.02 0.52
5 | .209511728 0.06 0.59
5.02 |.0701165914 0.02 0.61
5.15 | .071932361 0.02 0.63
5.25 | .073329105 0.02 0.65
5.4 | .075424223 0.02 0.67
6 | .167609382 0.05 0.72
6.09 | .085061764 0.03 0.75
7 | .09777214 0.03 0.77
8.517 | .118960762 0.03 0.81
9 | .251414074 0.07 0.88
9.8 | .136880998 0.04 0.92
10 | .279348971 0.08 1.01
10.89 | .152105519 0.04 1.05
11.75 | .16411752 0.05 1.10
12 |.6704375299 0.20 1.30
13.33 | .186186088 0.05 1.35
13.46 | .188001858 0.06 1.41
13.62 | .190236648 0.06 1.46
14 | .391088559 0.12 1.58
15 | .628535184 0.18 1.76
15.5 | .216495452 0.06 1.83
16 | .223479177 0.07 1.89
17 | .47489325 0.14 2.03
17.06 | .238284665 0.07 2.10
17.27 | .241217843 0.07 2.17
18 | .502828147 0.15 2.32
18.27 | .255185291 0.08 2.39
18.79458 | .262512389 0.08 2.47
19 | .265381522 0.08 2.55
20 | .279348971 0.08 2.63
21 | .293316419 0.09 2.72
21.6 | .301696894 0.09 2.81
21.7 | .303093644 0.09 2.90
22 | .307283868 0.09 2.99
26 | .363153662 0.11 3.09
29 | .405056008 0.12 3.21
30 | .419023456 0.12 3.34
30.5 | .42600718 0.13 3.46
34 | .47489325 0.14 3.60
35 | .488860699 0.14 3.74
38 |.5307630445 0.16 3.90
41.01 | .572805041 0.17 4.07
44 | .614567736 0.18 4.25
50.2 | .701165927 0.21 4.46
53.008 | .740386504 0.22 4.67
54.48401 | .761002642 0.22 4.90
55.77 | .778964611 0.23 5.13
58.98 | .823800108 0.24 5.37
67 | .935819052 0.28 5.64
71.07 | .992666563 0.29 5.94
72.24 | 1.00900845 0.30 6.23
78 | 1.08946099 0.32 6.55
81.31 | 1.13569321 0.33 6.89
82 | 1.14533078 0.34 7.22
86.83963 |1.212928065 0.36 7.58
90.24 | 1.26042253 0.37 7.95
92 | 1.28500527 0.38 8.33
94.98 | 1.32662831 0.39 8.72
95.94 |1.340037047 0.39 9.11
97.5 | 1.36182623 0.40 9.51
103 | 1.4386472 0.42 9.94
104.22 | 1.4556875 0.43 10.37
104.76 | 1.46322994 0.43 10.80
108.69 | 1.51812202 0.45 11.24
116.46 | 1.62664904 0.48 11.72
128.8272 | 1.79938742 0.53 12.25
135.33 | 1.89021484 0.56 12.81
138.1 | 1.92890473 0.57 13.37
142.09 | 1.98463471 0.58 13.96
149.25 | 2.08464169 0.61 14.57
151.15 | 2.11117976 0.62 15.19
153 | 2.13701963 0.63 15.82
165.625 | 2.31335909 0.68 16.50
172.21 | 2.40533441 0.71 17.21
172.91 | 2.41511158 0.71 17.92
185 | 2.58397798 0.76 18.68
189.0797 | 2.64096157 0.78 19.45
192.4785 | 2.68843355 0.79 20.25
192.58 | 2.68985127 0.79 21.04
193.5384 | 2.70323816 0.80 21.83
197.62 | 2.76024711 0.81 22.64
200 | 2.79348971 0.82 23.47
200.32 | 2.79795939 0.82 24.29
206.64 | 2.88623356 0.85 25.14
216.262 |3.020628264 0.89 26.03
219.77 | 3.06962623 0.90 26.93
233.4798 | 3.26111642 0.96 27.89
235.86 | 3.29436242 0.97 28.86
246.3454 | 3.44081624 1.01 29.87
248.85 | 3.47579965 1.02 30.89
276.45 | 3.86130132 1.14 32.03
309.85 | 4.32781402 1.27 33.30
322.9 | 4.51008905 1.33 34.63
339.613 | 4.74352719 1.40 36.02
342.8159 | 4.78826327 1.41 37.43
357.34 | 4.99112801 1.47 38.90
378.7 | 5.28947293 1.56 40.45
418.945 | 5.85159283 1.72 42.17
442.25 | 6.17710412 1.82 43.99
479 | 6.69040785 1.97 45.96
545 |7.612259454 2.24 48.20
660.7269 | 9.22866938 2.71 50.91
675 | 9.42802776 2.77 53.68
678.58 | 9.47803147 2.79 56.47
824 | 11.5091776 3.39 59.86
851.5 | 11.8932824 3.50 63.36
929.05 | 12.9764579 3.82 67.17
952.1545 | 13.2991696 3.91 71.08
955.618 | 13.347545 3.93 75.01
1024.15 | 14.3047628 4.21 79.22
1092.016 | 15.2526772 4.49 83.70
1205.594 | 16.8390789 4.95 88.66
1264.35 |17.65974322 5.19 93.85
1497.172 | 20.9116779 6.15 100.00
------------+-----------------------------------
Total | 340 100.00
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0 Response to create analytical/inverse variance weights for a variable
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