. xtreg In_annualco2emissions i.year unemployment_rate In_energyintensity, fe cluster (e > ntity_id) Fixed-effects (within) regression Group variable: entity_id R-squared: Within 0.4885 Between 0.0880 Overall 0.0814 corr(u_i, Xb) = 0.0771 Robust 1n_annualco2emis-s Coefficient std. err. year 2001 2002 2003 2004 2005 2006 R-squared: 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 unemployment_rate -.0097204 .0052587 1n_energyintensity .6886851 .0861404 _cons sigma_u sigma_e rho Within = 0.0546 Between 0.0933 Overall 0.0698 Fixed-effects (within) regression Group variable: entity_id corr(u_i, Xb) = 0.1611 Number of obs Number of groups = Obs per group: _cons F(22,158) Prob > F .0429839 .0162836 .0585447 .0139151 .1066353 .0156799 .1661422 .0235294 .194448 .0189518 .2451287 .021084 .2880567 .0221471 13.01 0.000 .3166857 .0241912 13.09 0.000 .3180331 .024223 13.13 0.000 .376216 .025031 15.03 0.000 .4251347 .02745 15.49 0.000 .4547317 .027307 16.65 0.000 .4724843 .0302679 15.61 0.000 .5092171 .0334418 15.23 0.000 .5372175 15.89 0.000 .0338025 .5645593 .0365981 15.43 0.000 .5955979 .0381807 15.60 0.000 .615113 .0400867 15.34 0.000 .6470521 .043369 14.92 0.000 .4443413 .8473519 9.38 0.000 t P>|t| Robust 1n_annualco2emis-s Coefficient std. err. (Std. err. adjusted for 159 clusters in entity_id) -1.85 0.066 7.99 0.000 15.82082 .8772824 204.71 0.000 2.64 0.009 4.21 0.000 6.80 0.000 7.06 0.000 10.26 0.000 11.63 0.000 min = avg= max= = Obs per group: t P>|t| unemployment_rate -.0192627 .0049427 -3.90 0.000 1n_energyintensity .3523215 .1197977 2.94 0.004 16.47943 .8845195 194.98 0.000 2.1829839 .20662219 .99112869 (fraction of variance due to u_1) Number of obs Number of groups [95% conf. interval] .0108223 .0310612 .875666 .1196694 25.86 0.0000 .1570165 .2034859 .2443142 .2689059 .2701904 .3267775 .3709184 .4007978 .4127024 .4431664 .4704544 .4922747 .5201875 .5359381 .5613944 .350817 xtreg 1n_annualco2emissions unemployment_rate In_energyintensity, fe cluster (entity_id -.0201069 .5185498 15.66818 3,150 159 1 19.8 21 min = avg = max = sigma_u 2.2107408 sigma_e .27997225 rho .98421501 (fraction of variance due to u_i) .0751454 .0860283 .1376046 .2126149 .2318795 .2867715 .3317993 .3644656 .3658758 .4256545 .479351 .5086656 .5322661 .5752678 .6039805 .636844 .6710084 .6942879 .7327098 .5378655 .0006661 .8588204 15.97345 F(2,158) Prob> F (Std. err. adjusted for 159 clusters in entity_id) 3,150 159 1 19.8 21 10.04 0.0001 [95% conf. interval] -.029025 -.0095003 .1157099 .5889331 16.3125 16.64636
. xtreg In_annualco2emissions i.year unemployment_rate In_energyintensity, fe cluster (e > ntity_id) Fixed-effects (within) regression Group variable: entity_id R-squared: Within 0.4885 Between 0.0880 Overall 0.0814 corr(u_i, Xb) = 0.0771 Robust 1n_annualco2emis-s Coefficient std. err. year 2001 2002 2003 2004 2005 2006 R-squared: 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 unemployment_rate -.0097204 .0052587 1n_energyintensity .6886851 .0861404 _cons sigma_u sigma_e rho Within = 0.0546 Between 0.0933 Overall 0.0698 Fixed-effects (within) regression Group variable: entity_id corr(u_i, Xb) = 0.1611 Number of obs Number of groups = Obs per group: _cons F(22,158) Prob > F .0429839 .0162836 .0585447 .0139151 .1066353 .0156799 .1661422 .0235294 .194448 .0189518 .2451287 .021084 .2880567 .0221471 13.01 0.000 .3166857 .0241912 13.09 0.000 .3180331 .024223 13.13 0.000 .376216 .025031 15.03 0.000 .4251347 .02745 15.49 0.000 .4547317 .027307 16.65 0.000 .4724843 .0302679 15.61 0.000 .5092171 .0334418 15.23 0.000 .5372175 15.89 0.000 .0338025 .5645593 .0365981 15.43 0.000 .5955979 .0381807 15.60 0.000 .615113 .0400867 15.34 0.000 .6470521 .043369 14.92 0.000 .4443413 .8473519 9.38 0.000 t P>|t| Robust 1n_annualco2emis-s Coefficient std. err. (Std. err. adjusted for 159 clusters in entity_id) -1.85 0.066 7.99 0.000 15.82082 .8772824 204.71 0.000 2.64 0.009 4.21 0.000 6.80 0.000 7.06 0.000 10.26 0.000 11.63 0.000 min = avg= max= = Obs per group: t P>|t| unemployment_rate -.0192627 .0049427 -3.90 0.000 1n_energyintensity .3523215 .1197977 2.94 0.004 16.47943 .8845195 194.98 0.000 2.1829839 .20662219 .99112869 (fraction of variance due to u_1) Number of obs Number of groups [95% conf. interval] .0108223 .0310612 .875666 .1196694 25.86 0.0000 .1570165 .2034859 .2443142 .2689059 .2701904 .3267775 .3709184 .4007978 .4127024 .4431664 .4704544 .4922747 .5201875 .5359381 .5613944 .350817 xtreg 1n_annualco2emissions unemployment_rate In_energyintensity, fe cluster (entity_id -.0201069 .5185498 15.66818 3,150 159 1 19.8 21 min = avg = max = sigma_u 2.2107408 sigma_e .27997225 rho .98421501 (fraction of variance due to u_i) .0751454 .0860283 .1376046 .2126149 .2318795 .2867715 .3317993 .3644656 .3658758 .4256545 .479351 .5086656 .5322661 .5752678 .6039805 .636844 .6710084 .6942879 .7327098 .5378655 .0006661 .8588204 15.97345 F(2,158) Prob> F (Std. err. adjusted for 159 clusters in entity_id) 3,150 159 1 19.8 21 10.04 0.0001 [95% conf. interval] -.029025 -.0095003 .1157099 .5889331 16.3125 16.64636
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
Related questions
Question
Please help me write a regression equation for these regressions!
![. xtreg 1n_annualco2emissions i.year unemployment_rate ln_energyintensity, fe cluster (e
> ntity_id)
Fixed-effects (within) regression
Group variable: entity_id
R-squared:
Within = 0.4885
Between 0.0880
=
Overall 0.0814
=
corr(u_i, Xb) = 0.0771
Robust
1n_annualco2emis-s Coefficient std. err.
year
2001
2002
2003
2004
2005
2006
R-squared:
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
unemployment_rate
1n_energyintensity
_cons
sigma_u
sigma_e
rho
Within = 0.0546
Between 0.0933
Overall 0.0698
.0429839 .0162836
.0585447 .0139151
.1066353 .0156799
.1661422 .0235294
.194448 .0189518
.021084
.2880567 .0221471
.2451287
.3166857 .0241912
.024223
.3180331
Fixed-effects (within) regression
Group variable: entity_id
corr(u_i, Xb) = 0.1611
_cons
.6470521 .043369
.4443413 .0473519
sigma_u
sigma_e
rho
Number of obs
=
Number of groups =
Obs per group:
2.64 0.009
4.21 0.000
6.80 0.000
7.06 0.000
10.26 0.000
11.63 0.000
13.01 0.000
13.09
0.000
13.13 0.000
.376216
.025031 15.03 0.000
.4251347
.02745 15.49 0.000
.027307
.4547317
16.65 0.000
.4724843 .0302679
15.61 0.000
.5092171 .0334418 15.23 0.000
.5372175 .0338025 15.89 0.000
.5645593 .0365981
.5955979 .0381807 15.60 0.000
.615113 .0400867 15.34 0.000
15.43 0.000
14.92 0.000
9.38 0.000
F(22,158)
Prob > F
(Std. err. adjusted for 159 clusters in entity_id)
-1.85 0.066
-.0097204 .0052587
.6886851 .0861404
7.99 0.000
15.82082 .8772824 204.71 0.000
Robust
1n_annualco2emis-s Coefficient std. err.
t P>|t|
unemployment_rate -.0192627 .0049427
In_energyintensity .3523215 .1197977
min =
avg=
max =
2.1829839
.20662219
.99112069 (fraction of variance due to u_i)
. xtreg 1n_annualco2emissions unemployment_rate 1n_energyintensity, fe cluster (entity_id
> )
Number of obs
Number of groups
Obs per group:
t P>|t|
-3.90 0.000
2.94 0.004
16.47943 .0845195 194.98 0.000
.0108223
.0310612
[95% conf. interval]
.075666
.1196694
.0751454
.0860283
.1376046
.2126149
.1570165
.2318795
.2034859
.2867715
.2443142
.3317993
.2689059
.3644656
.2701904
.3658758
.3267775
.4256545
.3709184
.479351
.4007978
.5086656
.4127024 .5322661
.4431664
.5752678
.4704544
.6039805
.4922747
.5201875
.5359381
.5613944
.350817
25.86
0.0000
3,150
159
-.0201069
.0006661
.5185498
.8588204
15.66818 15.97345
=
1
19.8
21
min =
avg =
max =
=
F(2,158)
Prob > F
(Std. err. adjusted for 159 clusters in entity_id)
.636844
.6710084
.6942879
.7327098
.5378655
-.029025
.1157099
16.3125
2.2107408
.27997225
.98421501 (fraction of variance due to u_i)
3,150
159
1
19.8
21
[95% conf. interval]
10.04
0.0001
-.0095003
.5889331
16.64636](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Febf795dc-e941-457e-b53a-7ed02a375073%2F38f8bb66-ef81-4572-8815-39d0d003c28c%2Fe0v9i0g_processed.jpeg&w=3840&q=75)
Transcribed Image Text:. xtreg 1n_annualco2emissions i.year unemployment_rate ln_energyintensity, fe cluster (e
> ntity_id)
Fixed-effects (within) regression
Group variable: entity_id
R-squared:
Within = 0.4885
Between 0.0880
=
Overall 0.0814
=
corr(u_i, Xb) = 0.0771
Robust
1n_annualco2emis-s Coefficient std. err.
year
2001
2002
2003
2004
2005
2006
R-squared:
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
unemployment_rate
1n_energyintensity
_cons
sigma_u
sigma_e
rho
Within = 0.0546
Between 0.0933
Overall 0.0698
.0429839 .0162836
.0585447 .0139151
.1066353 .0156799
.1661422 .0235294
.194448 .0189518
.021084
.2880567 .0221471
.2451287
.3166857 .0241912
.024223
.3180331
Fixed-effects (within) regression
Group variable: entity_id
corr(u_i, Xb) = 0.1611
_cons
.6470521 .043369
.4443413 .0473519
sigma_u
sigma_e
rho
Number of obs
=
Number of groups =
Obs per group:
2.64 0.009
4.21 0.000
6.80 0.000
7.06 0.000
10.26 0.000
11.63 0.000
13.01 0.000
13.09
0.000
13.13 0.000
.376216
.025031 15.03 0.000
.4251347
.02745 15.49 0.000
.027307
.4547317
16.65 0.000
.4724843 .0302679
15.61 0.000
.5092171 .0334418 15.23 0.000
.5372175 .0338025 15.89 0.000
.5645593 .0365981
.5955979 .0381807 15.60 0.000
.615113 .0400867 15.34 0.000
15.43 0.000
14.92 0.000
9.38 0.000
F(22,158)
Prob > F
(Std. err. adjusted for 159 clusters in entity_id)
-1.85 0.066
-.0097204 .0052587
.6886851 .0861404
7.99 0.000
15.82082 .8772824 204.71 0.000
Robust
1n_annualco2emis-s Coefficient std. err.
t P>|t|
unemployment_rate -.0192627 .0049427
In_energyintensity .3523215 .1197977
min =
avg=
max =
2.1829839
.20662219
.99112069 (fraction of variance due to u_i)
. xtreg 1n_annualco2emissions unemployment_rate 1n_energyintensity, fe cluster (entity_id
> )
Number of obs
Number of groups
Obs per group:
t P>|t|
-3.90 0.000
2.94 0.004
16.47943 .0845195 194.98 0.000
.0108223
.0310612
[95% conf. interval]
.075666
.1196694
.0751454
.0860283
.1376046
.2126149
.1570165
.2318795
.2034859
.2867715
.2443142
.3317993
.2689059
.3644656
.2701904
.3658758
.3267775
.4256545
.3709184
.479351
.4007978
.5086656
.4127024 .5322661
.4431664
.5752678
.4704544
.6039805
.4922747
.5201875
.5359381
.5613944
.350817
25.86
0.0000
3,150
159
-.0201069
.0006661
.5185498
.8588204
15.66818 15.97345
=
1
19.8
21
min =
avg =
max =
=
F(2,158)
Prob > F
(Std. err. adjusted for 159 clusters in entity_id)
.636844
.6710084
.6942879
.7327098
.5378655
-.029025
.1157099
16.3125
2.2107408
.27997225
.98421501 (fraction of variance due to u_i)
3,150
159
1
19.8
21
[95% conf. interval]
10.04
0.0001
-.0095003
.5889331
16.64636
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