Working Memorandum
Disclaimer: This is a working document prepared as a job of work
for the Energy Information Administration (EIA) in order to solicit advice and
comment on statistical matters from the American Statistical Association
Committee on Energy Statistics. This topic will be discussed at EIA's spring
2007 meeting with the Committee to be held April 19 and 20, 2007.
Subject: Assessment of the Sources of Differences Between NEMS Projections and Eventual Outcomes
From: George Lady
Date:
1. Background. This memo reports on work in progress to assess the sources of differences between NEMS forecast values and the eventual values of the projected series. The method employed is to represent each NEMS projection of energy product supply or demand by a linear regression, based upon the NEMS solution series for each AEO version of NEMS. When historical data become available, the regression equation is used to determine (differentially) the impacts upon the NEMS projection if the correct values are used for the explanatory variables in the regression equations compared to projections of the explanatory variables made at the time the forecast was prepared. The series assessed for this memo were the residential sector demands for delivered energy, electricity, and natural gas; and, the commercial sector demands for delivered energy and electricity. Additional discussion of the method proposed is given in Methodology_1_22_07 available on the website established in support of the project.
http://optima-com.com/NEM_Evaluation/Evaluation_Method.htm
2. Specification. The regression specification utilized is very austere. The sectoral demand for an energy product is expressed as a linear function of the product’s price, an appropriate sectoral activity variable (total households in the case of residential sector and total floor space in the case of the commercial sector), and the lagged quantity variable (to account for intertemporal impacts and changes in infrastructure). The functional form is:
Qt = a + b(Pricet) + c(Drivert) + dQt-1.
The outcome of the estimation may
be termed “consistent” if: b < 0, c > 0, and 0 < d < 1. There were
thirty-five regressions run in support of this memo (for seven AEO versions and
five fuel types). Of these, only two were not consistent in this sense. In
order to accommodate problems of identification, the regressions were run for
solution data pooled for each AEO version for the base case and High/Low world
oil price cases (which shift “supply” relative to demand, identifying demand
sensitivities). The NEMS versions considered were those for the 1998-2003
AEO’s, all in terms of the projections given for the year 2005.[1]
For the 1998-2002 AEO versions of NEMS the data were pooled for the years
2005-2020. For the 2003 and 2004 versions of NEMS the data were pooled for the
years 2005-2025. Weather effects were estimated separately from the regression
results based upon assessments of fuel consumption sensitivities to weather as
measured by heating and cooling degree days. The methodology and data utilized
for this are reported on in the
3. Template for Results. Consider as an example the commercial sector demand for delivered energy as approximated by the regression approach for the 2000 AEO version of NEMS. The regression results are given below:
Endogenous Variable:
Table
#2 Energy Consumption by Sector and Source (Quadrillion Btu per Year, Unless
Otherwise Noted)
Sector and Source: Commercial: Delivered Energy...........
Exogenous
Variables:
# 1)
Table #3 Energy Prices by Sector and Source (1998 Dollars per Million Btu)
Sector and Source: Commercial.....................:
# 2)
Table #5 Commercial Sector Key Indicators and Consumption (Quadrillion Btu per
year, Unless otherwise noted)
Key Indicators and Consumption: Total Floor space(bill. sq. ft.): Total......................
# 3)
Lagged Table #2 Energy Consumption by Sector and Source (Quadrillion Btu per
Year, Unless Otherwise Noted)
Sector and Source: Commercial: Delivered Energy...........
Exogenous
Variable Mean Coefficient Elasticity t-statistic
Variable#
1 12.08021 -.095032 -.129394 -34.939342
Variable#
2 71.5889 .049367 .398338 33.825154
Variable#
3 8.807958 .567612 .563502 55.473332
Constant 1.486568
Endogenous Mean SER R-sq LR-Multiplier
Variable 8.872193 .003172 .999908 2.31273763379187
Inspection of the regression results shows good fit, significant and plausible sensitivities to the explanatory variables, and highly convergent long run impacts (i.e., price and driver effects passed through to future time periods by the lagged endogenous variable converge to a multiple of 2.3 of their current year impact).[2]
Given these regression results, the projection of delivered commercial sector energy consumption for the year 2005 as given in the base case solution for the AEO2000 version of NEMS can be compared with respect to its overall accuracy; and, given this, the sources of “error” as related to differences in the projected values for price, floor space, and lagged consumption compared to the actual values.[3] The workup for the AEO2000 NEMS projections of commercial demand for energy in 2005, based upon the regression results above, is given below.
Model
= Com_All_00S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual =-.179705 (as % =-2.12)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_All_00S1 8.281295 8.461 -.179705(DIFF) -2.12 n/a n/a
Price 12.3208 16.25 .3734 4.41 -.129394 -.085302
Driver 67.10787 74.28 -.3541 -4.18 .398338 .343691
Lag 8.185784 8.399 -.121 -1.43 .563502 .685347
HDD 4524 4228 .1178 1.39 .2118 n/a
CDD 1215 1444 -.101 -1.19 .0702 n/a
Total
-.0849 -1
Uncertainty
-.0948 -1.12
These results are interpreted as follows. The NEMS projection was low by .18 quads, or 2.12% of actual. This difference is reported in the first row under impact, with “Com_All_00S1” being the impact modeling system designation for the endogenous variable. In the next rows, each of the explanatory variables and their impacts are accounted for. The value given in the “Impact” column is the differential influence on the projection of demand associated with the difference between the projected and actual values for the explanatory variable, as derived from the coefficient from the regression equation. So that,.
- Actual price was over 24% higher than the value projected in 2000. Given this, projected consumption should be .3734 quads high (4.41%) compared to actual.
- Actual floor space was 9.66% higher than projected. Given this, projected consumption should be 4.18% low, compared to actual.
Continuing in this fashion projects that the forecast value should have been 1% low. Instead, it was 2.21% low. Accordingly, for want of better terminology, it is estimated that there is general “uncertainty” of -1.12%, the degree to which the projection was unaccountably low.[4] A contributing factor to this outcome may be revealed by a comparison of the sensitivities as present in the AEO2007 version of NEMS compared to the AEO2000 version. For these, the price elasticity is lower, the driver elasticity is little changed, but the lag sensitivity is larger. A potential next step in assessing the sources of forecast error is to evaluate the changes in the sensitivities themselves, in addition to differences between the actual and projected values of explanatory variables.
These results for the thirty-three projections evaluated with consistent regression results are summarized in the tables below. The total impact of correcting for actual versus projected values for the explanatory variables are given in the “% Adjustment” column.Of interest is that for four of the five energy projections considered: residential delivered energy, electricity, and natural gas; and, commercial sector delivered energy, the “uncertainty” measures are generally low, i.e., NEMS projections are a bit lower than they “should be,” based upon an accounting for errors in projecting explanatory variables. The exception is commercial sector electricity consumption for which the projection is generally “higher” than it “should be.”
Detailed workups, as above, are given in Appendix A for the thirty-three projections accounted for. The regression results for the AEO2003 and AEO2004 versions of NEMS are given in Appendix B.
|
Table 1: Residential Sector Delivered
Energy Consumed (Quads) in 2005 |
||||||
|
NEMS Version |
NEMS |
Actual |
Difference |
% Difference |
% Adjustment |
% Uncertainty |
|
AEO1998 |
* |
* |
* |
* |
* |
* |
|
AEO1999 |
11.572 |
11.39 |
.182 |
1.6 |
10.86 |
-9.26 |
|
AEO2000 |
11.4 |
11.39 |
.01 |
.1 |
8.14 |
-8.05 |
|
AEO2001 |
11.86 |
11.39 |
.466 |
4.09 |
10.22 |
-6.12 |
|
AEO2002 |
11.99 |
11.39 |
.602 |
5.28 |
6.33 |
-1.05 |
|
AEO2003 |
11.9 |
11.39 |
.515 |
4.52 |
6.13 |
-1.61 |
|
AEO2004 |
11.86 |
11.39 |
.470 |
4.12 |
8.00 |
-3.87 |
* Regression results not consistent.
|
Table 2: Residential Sector Electricity Consumption (Quads) in 2005 |
||||||
|
NEMS Version |
NEMS |
Actual |
Difference |
% Difference |
% Adjustment |
% Uncertainty |
|
AEO1998 |
4.292 |
4.675 |
-.365 |
-7.84 |
-4.03 |
-3.81 |
|
AEO1999 |
4.306 |
4.675 |
-.351 |
-7.55 |
-3.74 |
-3.8 |
|
AEO2000 |
4.372 |
4.675 |
-.285 |
-6.13 |
-2.82 |
-3.32 |
|
AEO2001 |
4.496 |
4.675 |
-.161 |
-3.45 |
-1.64 |
-1.81 |
|
AEO2002 |
4.619 |
4.675 |
-.037 |
-.81 |
1.01 |
-1.81 |
|
AEO2003 |
* |
* |
* |
* |
* |
* |
|
AEO2004 |
4.5 |
4.675 |
-.157 |
-3.36 |
-.45 |
-2.91 |
* Regression results not consistent.
|
Table 3: Residential Sector Natural Gas Consumption (Quads) in 2005 |
||||||
|
NEMS Version |
NEMS |
Actual |
Difference |
% Difference |
% Adjustment |
% Uncertainty |
|
AEO1998 |
5.467 |
4.984 |
.483 |
9.69 |
19.7 |
-10.02 |
|
AEO1999 |
5.31 |
4.984 |
.325 |
6.52 |
14.11 |
-7.59 |
|
AEO2000 |
5.22 |
4.984 |
.238 |
4.77 |
6.73 |
-1.96 |
|
AEO2001 |
5.46 |
4.984 |
.476 |
9.56 |
10.26 |
-.7 |
|
AEO2002 |
5.53 |
4.984 |
.541 |
10.86 |
15.00 |
-4.14 |
|
AEO2003 |
5.45 |
4.984 |
.469 |
9.41 |
21.15 |
-11.74 |
|
AEO2004 |
5.35 |
4.984 |
.370 |
7.43 |
12.14 |
-4.71 |
|
Table 4: Commercial Sector Delivered Energy Consumed (Quads) in 2005 |
||||||
|
NEMS Version |
NEMS |
Actual |
Difference |
% Difference |
% Adjustment |
% Uncertainty |
|
AEO1998 |
8.206 |
8.461 |
-.255 |
-3.02 |
6.64 |
-9.64 |
|
AEO1999 |
8.322 |
8.461 |
-.139 |
-1.64 |
.74 |
-2.38 |
|
AEO2000 |
8.281 |
8.461 |
-.18 |
-2.12 |
-1.00 |
-1.12 |
|
AEO2001 |
8.868 |
8.461 |
.407 |
4.81 |
4.98 |
-.18 |
|
AEO2002 |
9.048 |
8.461 |
.587 |
6.94 |
5.88 |
1.07 |
|
AEO2003 |
8.954 |
8.461 |
.493 |
5.83 |
5.95 |
-.11 |
|
AEO2004 |
8.753 |
8.461 |
.292 |
3.46 |
9.1 |
-5.65 |
|
Table 5: Commercial Sector Electricity Consumption (Quads) in 2005 |
||||||
|
NEMS Version |
NEMS |
Actual |
Difference |
% Difference |
% Adjustment |
% Uncertainty |
|
AEO1998 |
3.839 |
4.322 |
-.483 |
-11.18 |
-5.24 |
-5.94 |
|
AEO1999 |
3.966 |
4.322 |
-.356 |
-8.25 |
-9.29 |
1.03 |
|
AEO2000 |
4.057 |
4.322 |
-.265 |
-6.13 |
-7.94 |
1.81 |
|
AEO2001 |
4.346 |
4.322 |
.024 |
.54 |
-1.68 |
2.23 |
|
AEO2002 |
4.457 |
4.322 |
.135 |
3.12 |
-1.43 |
4.54 |
|
AEO2003 |
4.486 |
4.322 |
.164 |
3.8 |
2.46 |
1.36 |
|
AEO2004 |
4.422 |
4.322 |
.100 |
2.32 |
3.37 |
-1.05 |
Appendix A: Impact Breakouts
Residential Sector
Delivered Energy
Model
= Res_All_99S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .18174 (as % = 1.6)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_All_99S1 11.57174 11.39 .18174(DIFF) 1.6 n/a n/a
Price 13.04349 17 1.1706 10.28 -.306132 -.101498
Driver 110.9643 113.3 -.1219 -1.07 .511264 .416156
Lag 11.54668 11.6 -.0125 -.11 .232393 .441493
HDD 4524 4228 .2974 2.61 .3848 n/a
CDD 1215 1444 -.0969 -.85 .0483 n/a
Total
1.2367 10.86
Uncertainty
-1.055 -9.26
Elasticity
Update File = Res_All_06S1
Model
= Res_All_00S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .01104 (as % = .1)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_All_00S1 11.40104 11.39 .01104(DIFF) .1 n/a n/a
Price 13.02821 17.19 .9331 8.19 -.241384 -.101498
Driver 111.3056 113.3 -.1157 -1.02 .572962 .416156
Lag 11.33194 11.6 -.0871 -.76 .322405 .441493
HDD 4524 4228 .293 2.57 .3848 n/a
CDD 1215 1444 -.0955 -.84 .0483 n/a
Total
.9278 8.14
Uncertainty
-.9168 -8.05
Elasticity
Update File = Res_All_06S1
Model
= Res_All_01S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .46606 (as % = 4.09)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_All_01S1
11.85606 11.39 .46606(DIFF) 4.09 n/a n/a
Price 12.9328 17.44 1.0212 8.97 -.235303 -.101498
Driver 111.4456 113.3 -.1293 -1.14 .65629 .416156
Lag 11.75364 11.6 .0664 .58 .42779 .441493
HDD 4524 4228 .3047 2.68 .3848 n/a
CDD 1215 1444 -.0993 -.87 .0483 n/a
Total 1.1637 10.22
Uncertainty
-.6976 -6.12
Elasticity
Update File = Res_All_06S1
Model
= Res_All_02S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .60193 (as % = 5.28)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_All_02S1 11.99193 11.39 .60193(DIFF) 5.28 n/a n/a
Price 13.3416 17.82 .2739 2.4 -.065698 -.101498
Driver 110.4103 113.3 -.0593 -.52 .19205 .416156
Lag 11.95116 11.6 .2986 2.62 .843493 .441493
HDD 4524 4228 .3082 2.71 .3848 n/a
CDD 1215 1444 -.1004 -.88 .0483 n/a
Total
.721 6.33
Uncertainty
-.1191 -1.05
Elasticity
Update File = Res_All_06S1
Model
= Res_All_03S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .51469 (as % = 4.52)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_All_03S1 11.90469 11.39 .51469(DIFF) 4.52 n/a n/a
Price
13.73501 18.24 .3209 2.82 -.077942 -.101498
Driver 110.7763 113.3 -.0249 -.22 .093376 .416156
Lag 11.80797 11.6 .1955 1.72 .93198 .441493
HDD 4524 4228 .306 2.69 .3848 n/a
CDD 1215 1444 -.0997 -.88 .0483 n/a
Total
.6978 6.13
Uncertainty -.1831 -1.61
Elasticity
Update File = Res_All_06S1
Model
= Res_All_04S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .46968 (as % = 4.12)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_All_04S1 11.85968 11.39 .46968(DIFF) 4.12 n/a n/a
Price 14.76384 18.56 .6159 5.41 -.182545 -.101498
Driver 113.6682 113.3 .0225 .2 .58831 .416156
Lag 11.76392 11.6 .0662 .58 .399994 .441493
HDD 4524 4228 .3048 2.68 .3848 n/a
CDD 1215 1444 -.0993 -.87 .0483 n/a
Total
.9101 8
Uncertainty
-.4404 -3.87
Elasticity
Update File = Res_All_06S1
Residential Sector Electricity
Model
= Res_Elec_98S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual =-.365241 (as % =-7.84)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Elec_98S1 4.291759 4.657 -.365241(DIFF) -7.84 n/a n/a
Price 22.0358 22.98 .0078 .17 -.036006 -.07028
Driver 111.0799 113.3 -.104 -2.23 1.176614 .754771
Lag 4.239554 4.414 -.025 -.54 .141239 .377707
HDD 4524 4228 .0226 .49 .0781 n/a
CDD 1215 1444 -.0892 -1.92 .1191 n/a
Total
-.1878 -4.03
Uncertainty
-.1774 -3.81
Elasticity
Update File = Res_Elec_07S1
Model
= Res_Elec_99S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual =-.35147 (as % =-7.55)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Elec_99S1 4.30553
4.657 -.35147(DIFF) -7.55 n/a n/a
Price 22.78456 23.36 .0236 .51 -.187024 -.07028
Driver 110.9643 113.3 -.0322 -.69 .347765 .754771
Lag 4.266979 4.414 -.0991 -2.13 .664569 .377707
HDD 4524 4228 .0227 .49 .0781 n/a
CDD 1215 1444 -.0895 -1.92 .1191 n/a
Total -.1745 -3.74
Uncertainty
-.177 -3.8
Elasticity
Update File = Res_Elec_07S1
Model
= Res_Elec_00S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual =-.28531 (as % =-6.13)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Elec_00S1 4.37169 4.657 -.28531(DIFF) -6.13 n/a n/a
Price 21.89697 23.62 .0457 .98 -.118286 -.07028
Driver 111.3056 113.3 -.0953 -2.05 1.180857 .754771
Lag 4.310937 4.414 -.0133 -.29 .127631 .377707
HDD 4524 4228 .023 .49 .0781 n/a
CDD 1215 1444 -.0908 -1.95 .1191 n/a
Total
-.1307 -2.82
Uncertainty
-.1546 -3.32
Elasticity
Update File = Res_Elec_07S1
Model
= Res_Elec_01S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual =-.160624 (as % =-3.45)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Elec_01S1 4.496376 4.657 -.160624(DIFF) -3.45 n/a n/a
Price 21.90037 23.96 .0391 .84 -.081454 -.07028
Driver 111.4456 113.3 -.0307 -.66 .387132 .754771
Lag 4.394571 4.414 -.0149 -.32 .754763 .377707
HDD 4524 4228 .0237 .51 .0781 n/a
CDD 1215 1444 -.0934 -2.01 .1191 n/a
Total
-.0762 -1.64
Uncertainty
-.0844 -1.81
Elasticity
Update File = Res_Elec_07S1
Model
= Res_Elec_02S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual =-.037639 (as % =-.81)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Elec_02S1 4.619361 4.657 -.037639(DIFF) -.81 n/a n/a
Price 22.38321 24.48 .0096 .21 -.020096 -.07028
Driver 110.4103 113.3 -.0167 -.36 .134219 .754771
Lag 4.548359 4.414 .1256 2.7 .921631 .377707
HDD 4524 4228 .0243 .52 .0781 n/a
CDD 1215 1444 -.096 -2.06 .1191 n/a
Total
.0469 1.01
Uncertainty
-.0845 -1.81
Elasticity
Update File = Res_Elec_07S1
Model
= Res_Elec_04S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual =-.156604 (as % =-3.36)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Elec_04S1 4.500396 4.657 -.156604(DIFF) -3.36
n/a n/a
Price 24.12649 25.51 .0222 .48 -.072152 -.07028
Driver 113.6682 113.3 .0074 .16 .481013 .754771
Lag 4.442669 4.414 .0192 .41 .660928 .377707
HDD 4524 4228 .0237 .51 .0781 n/a
CDD 1215 1444 -.0935 -2.01 .1191 n/a
Total -.021 -.45
Uncertainty
-.1356 -2.91
Elasticity
Update File = Res_Elec_07S1
Residential Sector Natural Gas
Model
= Res_Gas_98S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .482733 (as % = 9.69)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Gas_98S1 5.466733 4.984 .482733(DIFF) 9.69 n/a n/a
Price 5.548978 10.35 .6712 13.47 -.132855 -.083212
Driver 111.0799 113.3 -.0392 -.79 .370191 .12874
Lag 5.454708 5.016 .149 2.99 .337684 .526668
HDD 4524 4228 .2011 4.03 .5538 n/a
CDD 1215 1444 0 0 0 n/a
Total .9821 19.7
Uncertainty
-.4994 -10.02
Elasticity
Update File = Res_Gas_07S1
Model
= Res_Gas_99S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .325196 (as % = 6.52)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Gas_99S1 5.309196 4.984 .325196(DIFF) 6.52 n/a n/a
Price 6.237702 10.52 .3053 6.13 -.074859 -.083212
Driver 110.9643 113.3 -.0138 -.28 .126818 .12874
Lag 5.297505 5.016 .2165 4.34 .763787 .526668
HDD 4524 4228 .1953 3.92 .5538 n/a
CDD 1215 1444 0 0 0 n/a
Total
.7033 14.11
Uncertainty -.3781 -7.59
Elasticity
Update File = Res_Gas_07S1
Model
= Res_Gas_00S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .237708 (as % = 4.77)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Gas_00S1 5.221708 4.984 .237708(DIFF) 4.77 n/a n/a
Price 6.622416 10.64 .1106 2.22 -.032183 -.083212
Driver 111.3056 113.3 -.0435 -.87 .470968 .12874
Lag 5.19688 5.016 .0764 1.53 .418963 .526668
HDD 4524 4228 .1921 3.85 .5538 n/a
CDD 1215 1444 0 0 0 n/a
Total
.3356 6.73
Uncertainty
-.0979 -1.96
Elasticity
Update File = Res_Gas_07S1
Model
= Res_Gas_01S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .476339 (as % = 9.56)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Gas_01S1 5.460339 4.984 .476339(DIFF) 9.56 n/a n/a
Price 6.629639 10.79 .0823 1.65 -.022099 -.083212
Driver 111.4456 113.3 -.0331 -.66 .367348 .12874
Lag 5.430046 5.016 .2611 5.24 .624775 .526668
HDD 4524 4228 .2008 4.03 .5538 n/a
CDD 1215 1444 0 0 0 n/a
Total
.5111 10.26
Uncertainty
-.0348 -.7
Elasticity
Update File = Res_Gas_07S1
Model
= Res_Gas_02S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .541189 (as % = 10.86)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Gas_02S1 5.525189 4.984 .541189(DIFF) 10.86 n/a n/a
Price 6.846433 11.03 .2181 4.38 -.061443 -.083212
Driver 110.4103 113.3 -.0388 -.78 .275011 .12874
Lag 5.540764 5.016 .3648 7.32 .690592 .526668
HDD 4524 4228 .2032 4.08 .5538 n/a
CDD 1215 1444 0 0 0 n/a
Total .7473 15
Uncertainty
-.2061 -4.14
Elasticity
Update File = Res_Gas_07S1
Model
= Res_Gas_03S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .468855 (as % = 9.41)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Gas_03S1 5.452855 4.984 .468855(DIFF) 9.41 n/a n/a
Price 7.310425 11.29 .4952 9.94 -.160146 -.083212
Driver 110.7763 113.3 -.0175 -.35 .144726 .12874
Lag 5.421082 5.016 .3757 7.54 .920028 .526668
HDD 4524 4228 .2006 4.02 .5538 n/a
CDD 1215 1444 0 0 0 n/a
Total
1.054 21.15
Uncertainty
-.5851 -11.74
Elasticity
Update File = Res_Gas_07S1
Model
= Res_Gas_04S1 for Year = 2005
Residential
Energy Consumption: NEMS - Actual = .370228 (as % = 7.43)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Res_Gas_04S1 5.354228 4.984 .370228(DIFF) 7.43 n/a n/a
Price 8.394644 11.49 .2972 5.96 -.132641 -.083212
Driver 113.6682 113.3 .0091 .18 .532649 .12874
Lag 5.324489 5.016 .1019 2.05 .327913 .526668
HDD 4524 4228 .1969 3.95 .5538 n/a
CDD 1215 1444 0 0 0 n/a
Total
.6051 12.14
Uncertainty
-.2349 -4.71
Elasticity
Update File = Res_Gas_07S1
Commercial Sector Delivered Energy
Model
= Com_All_98S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual =-.255236 (as % =-3.02)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_All_98S1 8.205764 8.461 -.255236(DIFF) -3.02 n/a n/a
Price 11.83853 15.81 .2433 2.88 -.080432 -.085302
Driver 79.01656 74.28 .3611 4.27 .733622 .343691
Lag 8.122841 8.399 -.0603 -.71 .216944 .685347
HDD 4524 4228 .1168 1.38 .2118 n/a
CDD 1215 1444 -.1001 -1.18 .0702 n/a
Total
.5608 6.64
Uncertainty
-.816 -9.64
Elasticity
Update File = Com_All_06S1
Model
= Com_All_99S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual =-.138694 (as % =-1.64)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_All_99S1 8.322306 8.461 -.138694(DIFF) -1.64 n/a n/a
Price 12.33938 16.07 .5951 7.03 -.210698 -.085302
Driver 66.28476 74.28 -.4788 -5.66 .471488 .343691
Lag 8.245002 8.399 -.0705 -.83 .454086 .685347
HDD 4524 4228 .1184 1.4 .2118 n/a
CDD 1215 1444 -.1015 -1.2 .0702 n/a
Total
.0627 .74
Uncertainty
-.2014 -2.38
Elasticity
Update File = Com_All_06S1
Model
= Com_All_00S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual =-.179705 (as % =-2.12)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_All_00S1 8.281295 8.461 -.179705(DIFF) -2.12 n/a n/a
Price 12.3208 16.25 .3734 4.41 -.129394 -.085302
Driver 67.10787 74.28 -.3541 -4.18 .398338 .343691
Lag 8.185784 8.399 -.121 -1.43 .563502 .685347
HDD 4524 4228 .1178 1.39 .2118 n/a
CDD 1215 1444 -.101 -1.19 .0702 n/a
Total -.0849 -1
Uncertainty
-.0948 -1.12
Elasticity
Update File = Com_All_06S1
Model
= Com_All_01S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual = .406691 (as % = 4.81)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_All_01S1 8.867691 8.461 .406691(DIFF) 4.81 n/a n/a
Price 12.39135 16.49 .1922 2.27 -.057421 -.085302
Driver 70.85025 74.28 -.0571 -.68 .130959 .343691
Lag 8.715933 8.399 .2686 3.18 .837775 .685347
HDD 4524 4228 .1262 1.49 .2118 n/a
CDD 1215 1444 -.1081 -1.28 .0702 n/a
Total
.4217 4.98
Uncertainty -.015 -.18
Elasticity
Update File = Com_All_06S1
Model
= Com_All_02S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual = .587476 (as % = 6.94)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_All_02S1 9.048476 8.461 .587476(DIFF) 6.94 n/a n/a
Price 12.95599 16.85 .2061 2.44 -.066927 -.085302
Driver 71.67374 74.28 -.0979 -1.16 .292822 .343691
Lag 8.888235 8.399 .3703 4.38 .744366 .685347
HDD 4524 4228 .1288 1.52 .2118 n/a
CDD 1215 1444 -.1103 -1.3 .0702 n/a
Total
.4969 5.88
Uncertainty
.0906 1.07
Elasticity
Update File = Com_All_06S1
Model
= Com_All_03S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual = .493291 (as % = 5.83)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_All_03S1 8.954291 8.461 .493291(DIFF) 5.83 n/a n/a
Price 13.157 17.25 .1099 1.3 -.035434 -.085302
Driver 76.09364 74.28 .0369 .44 .170318 .343691
Lag 8.784138 8.399 .3374 3.99 .861941 .685347
HDD 4524 4228 .1274 1.51 .2118 n/a
CDD 1215 1444 -.1092 -1.29 .0702 n/a
Total
.5024 5.95
Uncertainty
-.0091 -.11
Elasticity
Update File = Com_All_06S1
Model
= Com_All_04S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual = .292336 (as % = 3.46)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_All_04S1 8.753336 8.461 .292336(DIFF) 3.46 n/a n/a
Price 14.13587 17.55 .376 4.44 -.150072 -.085302
Driver 77.57358 74.28 .3376 3.99 .873743 .343691
Lag 8.523619 8.399 .0388 .46 .306432 .685347
HDD 4524 4228 .1246 1.47 .2118 n/a
CDD 1215 1444 -.1067 -1.26 .0702 n/a
Total .7702 9.1
Uncertainty
-.4779 -5.65
Elasticity
Update File = Com_All_06S1
Commercial Sector Electricity
Model
= Com_Elec_98S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual =-.483139 (as % =-11.18)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_Elec_98S1 3.838861 4.322 -.483139(DIFF) -11.18 n/a n/a
Price 19.81471 21.03 .0104 .24 -.037944 -.041997
Driver 79.01656 74.28 .1032 2.39 .436252 .336104
Lag 3.785793 4.194 -.2656 -6.15 .644204 .744692
HDD 4524 4228 .0109 .25 .0421 n/a
CDD 1215 1444 -.0852 -1.97 .1272 n/a
Total
-.2263 -5.24
Uncertainty
-.2568 -5.94
Elasticity
Update File = Com_Elec_07S1
Model
= Com_Elec_99S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual =-.35645 (as % =-8.25)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_Elec_99S1 3.96555 4.322 -.35645(DIFF) -8.25 n/a n/a
Price 20.11321 21.38 .0429 .99 -.144421 -.041997
Driver 66.28476 74.28 -.178 -4.12 .357303 .336104
Lag 3.909569 4.194 -.1891 -4.38 .657179 .744692
HDD 4524 4228 .0113 .26 .0421 n/a
CDD 1215 1444 -.0881 -2.04 .1272 n/a
Total
-.401 -9.29
Uncertainty .0446 1.03
Elasticity
Update File = Com_Elec_07S1
Model
= Com_Elec_00S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual =-.264922 (as % =-6.13)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_Elec_00S1 4.057078 4.322 -.264922(DIFF) -6.13 n/a n/a
Price 19.30535 21.62 .0523 1.21 -.09446 -.041997
Driver 67.10787 74.28 -.1904 -4.41 .428123 .336104
Lag 3.988374 4.194 -.1265 -2.93 .609061 .744692
HDD 4524 4228 .0115 .27 .0421 n/a
CDD 1215 1444 -.0901 -2.08 .1272 n/a
Total
-.3432 -7.94
Uncertainty
.0783 1.81
Elasticity
Update File = Com_Elec_07S1
Model
= Com_Elec_01S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual = .023534 (as % = .54)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_Elec_01S1 4.345534 4.322 .023534(DIFF) .54 n/a n/a
Price 19.58086 21.93 .0252 .58 -.038449 -.041997
Driver 70.85025 74.28 -.0464 -1.07 .206888 .336104
Lag 4.232958 4.194 .0323 .75 .814475 .744692
HDD 4524 4228 .0124 .29 .0421 n/a
CDD 1215 1444 -.0965 -2.23 .1272 n/a
Total
-.073 -1.68
Uncertainty
.0965 2.23
Elasticity
Update File = Com_Elec_07S1
Model
= Com_Elec_02S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual = .134939 (as % = 3.12)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_Elec_02S1 4.456939 4.322 .134939(DIFF) 3.12 n/a n/a
Price 20.4003 22.41 .0293 .68 -.054912 -.041997
Driver 71.67374 74.28 -.0924 -2.14 .53816 .336104
Lag 4.336136 4.194 .0879 2.03 .605096 .744692
HDD 4524 4228 .0127 .29 .0421 n/a
CDD 1215 1444 -.099 -2.29 .1272 n/a
Total
-.0615 -1.43
Uncertainty
.1964 4.54
Elasticity
Update File = Com_Elec_07S1
Model
= Com_Elec_03S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual = .164278 (as % = 3.8)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_Elec_03S1 4.486278 4.322 .164278(DIFF) 3.8 n/a n/a
Price 20.11637 22.95 .0058 .14 -.007469 -.041997
Driver 76.09364 74.28 .0099 .23 .086087 .336104
Lag 4.379218 4.194 .1767 4.09 .934151 .744692
HDD 4524 4228 .0128 .3 .0421 n/a
CDD 1215 1444 -.0996 -2.3 .1272 n/a
Total
.1055 2.46
Uncertainty .0588 1.36
Elasticity
Update File = Com_Elec_07S1
Model
= Com_Elec_04S1 for Year = 2005
Commercial
Energy Consumption: NEMS - Actual = .100298 (as % = 2.32)
Source NEMS Actual Impact Percent Elasticity Updated Elas
Com_Elec_04S1 4.422298 4.322 .100298(DIFF) 2.32 n/a n/a
Price 21.06966 23.35 .0256 .59 -.041247 -.041997
Driver 77.57358 74.28 .1634 3.78 .789447 .336104
Lag 4.277982 4.194 .0422 .98 .492013 .744692
HDD 4524 4228 .0126 .29 .0421 n/a
CDD 1215 1444 -.0982 -2.27 .1272 n/a
Total
.1456 3.37
Uncertainty
-.0453 -1.05
Elasticity
Update File = Com_Elec_07S1
Appendix B: Selected Regression
Results
Endogenous
Variable:
Table
#2 Energy Consumption by Sector and Source (Quadrillion Btu per Year, Unless
Otherwise Noted)
Sector and Source: Residential: Delivered Energy
Exogenous
Variables:
# 1)
Table #3 Energy Prices by Sector and Source (2001 Dollars per Million Btu,
Unless Otherwise Noted)
Sector and Source: Residential:
# 2)
Table #4 Residential Sector Key Indicators and Consumption (Quadrillion Btu per
Year, Unless Otherwise Noted)
Key Indicators and Consumption: Households (millions): Total
# 3)
Lagged Table #2 Energy Consumption by Sector and Source (Quadrillion Btu per
Year, Unless Otherwise Noted)
Sector and Source: Residential: Delivered Energy
Exogenous
Variable Mean Coefficient Elasticity t-statistic
Variable#
1 14.1934 -.071243 -.077942 -2.329777
Variable#
2 122.9855 .00985 .093376 1.471315
Variable#
3 12.86303 .93998 .93198 15.093487
Constant
.682232
Endogenous Mean SER R-sq LR-Multiplier
Variable 12.97345 .030305 .997982 16.6611129623459
Data
pooled for the years 2005 to 2025 for the solutions given below:
aeo2003.1105c.ran
hw2003.1105c.ran
lw2003.1105c.ran
Endogenous
Variable:
Table
#2 Energy Consumption by Sector and Source (Quadrillion Btu per Year, Unless
Otherwise Noted)
Sector and Source: Residential: Delivered Energy
Exogenous
Variables:
# 1)
Table #3 Energy Prices by Sector and Source (2002 Dollars per Million Btu, Unless
Otherwise Noted)
Sector and Source: Residential:
# 2)
Table #4 Residential Sector Key Indicators and Consumption (Quadrillion Btu per
Year, Unless Otherwise Noted)
Key Indicators and Consumption: Households (millions): Total
# 3)
Lagged Table #2 Energy Consumption by Sector and Source (Quadrillion Btu per
Year, Unless Otherwise Noted)
Sector and Source: Residential: Delivered Energy
Exogenous
Variable Mean Coefficient Elasticity t-statistic
Variable#
1 14.73511 -.162239 -.182545 -8.205154
Variable#
2 125.9316 .06118 .58831 7.714831
Variable#
3 12.98012 .403564 .399994 5.278339
Constant
2.543787
Endogenous Mean SER R-sq LR-Multiplier
Variable 13.09599 .022989 .998981 1.67662582406159
Data
pooled for the years 2005 to 2025 for the solutions given below:
aeo2004.1017e.ran
hw2004.1017b.ran
lw2004.1017b.ran
Endogenous Variable:
Table #2 Energy Consumption by Sector and Source
(Quadrillion Btu per Year, Unless Otherwise Noted)
Sector and
Source: Residential: Electricity
Exogenous Variables:
# 1) Table #3 Energy Prices by Sector and Source
(2001 Dollars per Million Btu, Unless Otherwise Noted)
Sector
and Source: Residential: Electricity
# 2) Table #4 Residential Sector Key Indicators and
Consumption (Quadrillion Btu per Year, Unless Otherwise Noted)
Key
Indicators and Consumption: Households
(millions): Total
# 3) Lagged Table #2 Energy Consumption by Sector
and Source (Quadrillion Btu per Year, Unless Otherwise Noted)
Sector
and Source: Residential: Electricity
Exogenous
Variable
Mean
Coefficient
Elasticity t-statistic
Variable# 1 22.67134 -.013483 -.058215 -1.249457
Variable# 2 122.9855 -.001709 -.040028 -.316597
Variable# 3 5.179879 1.03009 1.016167 11.338126
Constant
.43097
Endogenous
Mean SER R-sq LR-Multiplier
Variable 5.250851 .012689 .99913 -33.2336324360253
Data pooled for the years 2005 to
2025 for the solutions given below:
aeo2003.1105c.ran
hw2003.1105c.ran
lw2003.1105c.ran
Endogenous Variable:
Table #2 Energy Consumption by Sector and Source
(Quadrillion Btu per Year, Unless Otherwise Noted)
Sector and
Source: Residential: Electricity
Exogenous Variables:
# 1) Table #3 Energy Prices by Sector and Source
(2002 Dollars per Million Btu, Unless Otherwise Noted)
Sector
and Source: Residential: Electricity
# 2) Table #4 Residential Sector Key Indicators and
Consumption (Quadrillion Btu per Year, Unless Otherwise Noted)
Key
Indicators and Consumption: Households
(millions): Total
# 3) Lagged Table #2 Energy Consumption by Sector
and Source (Quadrillion Btu per Year, Unless Otherwise Noted)
Sector
and Source: Residential: Electricity
Exogenous
Variable
Mean
Coefficient
Elasticity
t-statistic
Variable# 1 23.52394 -.01606 -.072152 -3.767942
Variable# 2 125.9316 .02 .481013 4.194532
Variable# 3 5.163452 .670227 .660928 8.463868
Constant
-.36542
Endogenous
Mean SER R-sq LR-Multiplier
Variable 5.236103 .009763 .999547 3.03238894633581
Data pooled for the years 2005 to
2025 for the solutions given below:
aeo2004.1017e.ran
hw2004.1017b.ran
lw2004.1017b.ran
Endogenous Variable:
Table #2 Energy Consumption by Sector and Source
(Quadrillion Btu per Year, Unless Otherwise Noted)
Sector and
Source: Residential: Natural Gas
Exogenous Variables:
# 1) Table #3 Energy Prices by Sector and Source
(2001 Dollars per Million Btu, Unless Otherwise Noted)
Sector
and Source: Residential: Natural Gas
# 2) Table #4 Residential Sector Key Indicators and
Consumption (Quadrillion Btu per Year, Unless Otherwise Noted)
Key
Indicators and Consumption: Households
(millions): Total
# 3) Lagged Table #2 Energy Consumption by Sector
and Source (Quadrillion Btu per Year, Unless Otherwise Noted)
Sector
and Source: Residential: Natural Gas
Exogenous
Variable
Mean
Coefficient
Elasticity t-statistic
Variable# 1 7.589383 -.124427 -.160146 -5.674552
Variable# 2 122.9855 .006939 .144726 3.889079
Variable# 3 5.849164 .927498 .920028 23.829574
Constant
.562492
Endogenous
Mean SER R-sq LR-Multiplier
Variable 5.896653 .013052 .998058 13.7927229593666
Data pooled for the years 2005 to
2025 for the solutions given below:
aeo2003.1105c.ran
hw2003.1105c.ran
lw2003.1105c.ran
Endogenous Variable:
Table #2 Energy Consumption by Sector and Source
(Quadrillion Btu per Year, Unless Otherwise Noted)
Sector and
Source: Residential: Natural Gas
Exogenous Variables:
# 1) Table #3 Energy Prices by Sector and Source
(2002 Dollars per Million Btu, Unless Otherwise Noted)
Sector
and Source: Residential: Natural Gas
# 2) Table #4 Residential Sector Key Indicators and
Consumption (Quadrillion Btu per Year, Unless Otherwise Noted)
Key
Indicators and Consumption: Households
(millions): Total
# 3) Lagged Table #2 Energy Consumption by Sector
and Source (Quadrillion Btu per Year, Unless Otherwise Noted)
Sector
and Source: Residential: Natural Gas
Exogenous
Variable
Mean
Coefficient
Elasticity t-statistic
Variable# 1 8.103702 -.09601 -.132641 -8.638837
Variable# 2 125.9316 .02481 .532649 8.682118
Variable# 3 5.820245 .330475 .327913 4.423636
Constant
1.595942
Endogenous
Mean SER R-sq LR-Multiplier
Variable 5.865715 .012285 .998013 1.49359620626564
Data pooled for the years 2005 to
2025 for the solutions given below:
aeo2004.1017e.ran
hw2004.1017b.ran
lw2004.1017b.ran
Endogenous Variable:
Table #2 Energy Consumption by Sector and Source
(Quadrillion Btu per Year, Unless Otherwise Noted)
Sector and
Source: Commercial: Delivered Energy
Exogenous Variables:
# 1) Table #3 Energy Prices by Sector and Source
(2001 Dollars per Million Btu, Unless Otherwise Noted)
Sector
and Source: Commercial:
# 2) Table #5 Commercial Sector Key Indicators and
Consumption (Quadrillion Btu per Year, Unless Otherwise Noted)
Key
Indicators and Consumption: Total Floor
space (billion squar: Total
# 3) Lagged Table #2 Energy Consumption by Sector
and Source (Quadrillion Btu per Year, Unless Otherwise Noted)
Sector
and Source: Commercial: Delivered Energy
Exogenous
Variable
Mean
Coefficient
Elasticity t-statistic
Variable# 1 13.93013 -.02684 -.035434 -2.150808
Variable# 2 88.28918 .020355 .170318 3.089422
Variable# 3 10.3825 .875977 .861941 19.724726
Constant
.033498
Endogenous
Mean SER R-sq LR-Multiplier
Variable 10.55157 .011865 .999875 8.06302056876547
Data pooled for the years 2005 to
2025 for the solutions given below:
aeo2003.1105c.ran
hw2003.1105c.ran
lw2003.1105c.ran
Endogenous Variable:
Table #2 Energy Consumption by Sector and Source
(Quadrillion Btu per Year, Unless Otherwise Noted)
Sector and
Source: Commercial: Delivered Energy
Exogenous Variables:
# 1) Table #3 Energy Prices by Sector and Source
(2002 Dollars per Million Btu, Unless Otherwise Noted)
Sector
and Source: Commercial:
# 2) Table #5 Commercial Sector Key Indicators and
Consumption (Quadrillion Btu per Year, Unless Otherwise Noted)
Key
Indicators and Consumption: Total Floor
space (billion squar: Total
# 3) Lagged Table #2 Energy Consumption by Sector
and Source (Quadrillion Btu per Year, Unless Otherwise Noted)
Sector
and Source: Commercial: Delivered Energy
Exogenous
Variable
Mean Coefficient Elasticity t-statistic
Variable# 1 14.35792 -.110138 -.150072 -12.012723
Variable# 2 89.82951 .102493 .873743 12.089572
Variable# 3 10.361 .311646 .306432 5.548633
Constant
-.317208
Endogenous
Mean SER R-sq LR-Multiplier
Variable 10.5373 .01185 .999875 1.45274088623005
Data pooled for the years 2005 to
2025 for the solutions given below:
aeo2004.1017e.ran
hw2004.1017b.ran
lw2004.1017b.ran
Endogenous Variable:
Table #2 Energy Consumption by Sector and Source
(Quadrillion Btu per Year, Unless Otherwise Noted)
Sector and
Source: Commercial: Electricity
Exogenous Variables:
# 1) Table #3 Energy Prices by Sector and Source
(2001 Dollars per Million Btu, Unless Otherwise Noted)
Sector
and Source: Commercial: Electricity
# 2) Table #5 Commercial Sector Key Indicators and
Consumption (Quadrillion Btu per Year, Unless Otherwise Noted)
Key
Indicators and Consumption: Total Floor
space (billion squar: Total
# 3) Lagged Table #2 Energy Consumption by Sector
and Source (Quadrillion Btu per Year, Unless Otherwise Noted)
Sector
and Source: Commercial: Electricity
Exogenous
Variable
Mean
Coefficient
Elasticity t-statistic
Variable# 1 20.33087 -.002064 -.007469 -.973534
Variable# 2 88.28918 .005478 .086087 1.985501
Variable# 3 5.500643 .954102 .934151 32.086885
Constant
-.071736
Endogenous
Mean SER R-sq LR-Multiplier
Variable 5.618124 .003294 .99998 21.7874417185934
Data pooled for the years 2005 to
2025 for the solutions given below:
aeo2003.1105c.ran
hw2003.1105c.ran
lw2003.1105c.ran
Endogenous Variable:
Table #2 Energy Consumption by Sector and Source
(Quadrillion Btu per Year, Unless Otherwise Noted)
Sector and
Source: Commercial: Electricity
Exogenous Variables:
# 1) Table #3 Energy Prices by Sector and Source
(2002 Dollars per Million Btu, Unless Otherwise Noted)
Sector
and Source: Commercial: Electricity
# 2) Table #5 Commercial Sector Key Indicators and
Consumption (Quadrillion Btu per Year, Unless Otherwise Noted)
Key
Indicators and Consumption: Total Floor
space (billion squar: Total
# 3) Lagged Table #2 Energy Consumption by Sector
and Source (Quadrillion Btu per Year, Unless Otherwise Noted)
Sector
and Source: Commercial: Electricity
Exogenous
Variable
Mean
Coefficient
Elasticity t-statistic
Variable# 1 20.73894 -.01123 -.041247 -3.51527
Variable# 2 89.82951 .049622 .789447 4.599612
Variable# 3 5.523816 .50293 .492013 4.703427
Constant
-1.35633
Endogenous
Mean SER R-sq LR-Multiplier
Variable 5.646385 .007186 .999909 2.01178908403243
Data pooled for the years 2005 to
2025 for the solutions given below:
aeo2004.1017e.ran
hw2004.1017b.ran
lw2004.1017b.ran
[1] NEMS solutions for the first several years are “benchmarked” to, or otherwise combined with, projections based upon EIA’s short term projection methodology. Accordingly, for the 2005 projections prepared for the 2003 and 2004 AEO’s, there is the issue of the degree to which the projections represent NEMS. This iseue is beyond the scope of the present effort and the projections are included for comparative purposes.
[2]
The regression results supporting the impact analysis presented here for the
1998-2002 versions of NEMS are provided in an appendix to the
[3]The values used for “actual” are those reported in the AEO2007 base case for the year 2005. “Actual” values in price (given in $2005 in the AEO2007 solutions) are converted to $1998 for comparison to the AEO2000 solution values using the PGDP deflator. The exception is the price of delivered energy. This price is not reported in the AEO2007 solutions. Accordingly, the price reported (appropriately deflated) in the AEO2006 base case is used for “actual.”
[4] Across the five, principal AEO scenarios, the range of values for commercial sector consumption was 8.204-8.352. Accordingly, although actual consumption is higher than the high side of this range, the :”error” (already very small) is to that degree even smaller.