Memorandum for the Record
Subject: Revised Price elasticities
From: George Lady
Date:
In my memo of
Qt = a + b(Pricet) + c(Drivert) + dQt-1.
The driver for the residential
sector is the total number of households and for the commercial sector total
commercial floorspace. The outcome of the estimation may be termed “consistent”
if: b < 0, c > 0, and 0 < d < 1. For the regressions run, eighteen
were not consistent in this way (in the
The four, revised regression results are given in the Appendix.
Table 1: Consistency of Regression Results
|
Fuel: Sector: |
Electricity |
Distillate Fuel |
Natural Gas |
Delivered Energy |
|
Residential |
Consistent = 11 |
Consistent = 3 Issues = 8 |
Consistent = 11 |
Consistent = 9 N/A = 2 |
|
Commercial |
Consistent = 11 |
Consistent = 6 Issues = 2 |
Consistent = 7 Issues = 4 |
Consistent = 9 N/A = 2 |
In the elasticity tables below, the following explanatory notes are indicated for each value, as appropriate.:
A: Driver elasticity has the wrong sign.
B: Long run elasticity does not converge.
C: Negative lag term.
D: Price elasticity has the wrong sign.
E: Results not reported (for the AEO2006 elasticities the two-year results are provided in the data, but not reported).
F: Average sector price not reported for the AEO2007.
G: Lagged endogenous variable not included in the regression
specification.
*: Revised
|
Table 2: Residential Sector |
||||||||||||
|
Fuel |
Electricity |
Distillate |
Natural Gas |
Delivered Energy |
||||||||
|
Horizon |
1 year |
2 year |
Long Run |
1 year |
2 year |
Long Run |
1 year |
2 year |
Long Run |
1 year |
2 year |
Long Run |
|
Sim98 |
-.036 |
-.041 |
-.042 |
-.277A |
-.305 |
-.308 |
-.133 |
-.178 |
-.201 |
-.288* |
G |
G |
|
Sim99 |
-.187 |
-.313 |
-.573 |
-.221A |
-.338 |
-.467 |
-.075 |
-.132 |
-.324 |
-.306 |
-.378 |
-.4 |
|
AEO99 |
-.23 |
E |
-.31 |
-.28 |
E |
-.53 |
-.26 |
E |
-.43 |
E |
E |
E |
|
Sim00 |
-.118 |
-.134 |
-.136 |
-.108A |
-.192 |
-.49 |
-.032 |
-.046 |
-.056 |
-.241 |
-.32 |
-.358 |
|
Sim01 |
-.081 |
-.144 |
-.351 |
-.045 |
-.087 |
-.633 |
-.022 |
-.036 |
-.06 |
-.235 |
-.337 |
-.414 |
|
Sim02 |
-.02 |
-.039 |
-.308 |
-.061 |
-.116 |
-.601 |
-.061 |
-.104 |
-.202 |
-.066 |
-.122 |
-.439 |
|
Sim03 |
-.066 |
-.129 |
-1.449 |
-.135A |
-.226 |
-.422 |
-.132 |
-.249 |
-1.163 |
-.087 |
-.161 |
-.587 |
|
AEO03 |
-.20 |
-.29 |
-.49 |
-.15 |
-.27 |
-.60 |
-.236 |
-.426 |
-1.22 |
E |
E |
E |
|
Sim04 |
-.024 |
-.158 |
-.218 |
-.084A |
-.15 |
-.384 |
-.119 |
-.166 |
-.197 |
-.209 |
-.281 |
-.318 |
|
Sim05 |
-.221 |
-.246 |
-.249 |
-.046A |
-.089 |
-1.041 |
-.113 |
-.166 |
-.211 |
-.203 |
-.31 |
-.431 |
|
Sim06 |
-.03 |
-.048 |
-.08 |
-.056A |
-.102 |
-.33 |
-.071 |
-.108 |
-.149 |
-.101 |
-.147 |
-.183 |
|
Sim06:pooled |
-.044 |
-.076 |
-.16 |
-.061 |
-.11 |
-.35 |
-.072 |
-.12 |
-.211 |
E |
E |
E |
|
AEO06 |
-.07 |
E |
-.15 |
-.11 |
E |
-.43 |
-.09 |
E |
-.25 |
-.08 |
E |
-.17 |
|
RSTEM06 |
E |
E |
E |
E |
E |
E |
E |
-.042 |
E |
E |
E |
E |
|
Sim07 |
-.07 |
-.097 |
-.114 |
-.092A |
-.159 |
-.336 |
-.083 |
-.127 |
-.176 |
F |
F |
F |
|
Table 3: Commercial Sector |
||||||||||||
|
Fuel |
Electricity |
Distillate |
Natural Gas |
Delivered Energy |
||||||||
|
Horizon |
1 year |
2 year |
Long Run |
1 year |
2 year |
Long Run |
1 year |
2 year |
Long Run |
1 year |
2 year |
Long Run |
|
Sim98 |
-.038 |
-.063 |
-.109 |
.002D |
A & B |
A&B |
-.069 |
A& B |
A&B |
-.08 |
-.098 |
-.103 |
|
Sim99 |
-.144 |
-.24 |
-.431 |
-.007 |
B |
B |
-.0278 |
A&B |
A&B |
-.211 |
-.307 |
-.389 |
|
AEO99 |
-.23 |
E |
-.24 |
-.47 |
E |
-.87 |
-.28 |
E |
-.34 |
E |
E |
E |
|
Sim00 |
-.094 |
-.153 |
-.245 |
-.667* |
G |
G |
-.001 |
-.002 |
-.004 |
-.129 |
-.203 |
-.299 |
|
Sim01 |
-.038 |
-.07 |
-.224 |
-.908* |
G |
G |
-.007 |
A&B |
A&B |
-.057 |
-.106 |
-.377 |
|
Sim02 |
-.055 |
-.089 |
-.144 |
-.048 |
-.093 |
-1.025 |
-.017 |
-.031 |
-.122 |
-.067 |
-.118 |
-.275 |
|
Sim03 |
-.042 |
-.081 |
-.775 |
-.05 |
-.099 |
-2.329 |
-.065 |
-.128 |
-2.71 |
-.086 |
-.147 |
-.293 |
|
AEO03 |
-.1 |
-.17 |
-.45 |
-.13 |
-.23 |
-.39 |
-.14 |
-.24 |
-.4 |
E |
E |
E |
|
Sim04 |
-.047 |
-.073 |
-.106 |
-.039 |
-.078 |
-3.532 |
-.0314 |
A&B |
A&B |
-.128 |
-.184 |
-.226 |
|
Sim05 |
-.086 |
-.123 |
-.149 |
-.036 |
-.073 |
-4.219 |
-.103 |
B |
B |
-.112 |
-.17 |
-.236 |
|
Sim06 |
-.034 |
-.063 |
-.209 |
-.015 |
-.029 |
-.924 |
-.12 |
-.189 |
-.283 |
-.085 |
-.145 |
-.281 |
|
Sim06:pooled |
-.046 |
-.083 |
-.34 |
-.055 |
-.1 |
-.33 |
-.09 |
-.154 |
-.32 |
E |
E |
E |
|
AEO06 |
-.09 |
E |
-.24 |
-.12 |
E |
-.17 |
-.13 |
E |
-.28 |
-.11 |
E |
-.24 |
|
RSTEM06 |
E |
E |
E |
E |
E |
E |
E |
-.055 |
E |
E |
E |
E |
|
Sim07 |
-.042 |
-.074 |
-.174 |
-.327* |
G |
G |
-.127 |
-.193 |
-.264 |
F |
F |
F |
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
(1996 Dollars per Million Btu)
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......................
Exogenous
Variable
Mean
Coefficient
Elasticity t-statistic
Variable# 1
12.08812 -.299046 -.288154 -17.753599
Variable# 2 120.0041 .079289 .758467 99.879578
Constant 6.644941
Endogenous
Mean SER R-sq LR-Multiplier
Variable 12.54504 .023936 .997694 n/a
Data pooled for the years 2005 to 2020 for the solutions given below:
aeo98b.ran
hwop98.ran
lwop98.ran
Endogenous
Variable:
Table
#2 Energy Consumption by Sector and Source (Quadrillion Btu per Year, Unless
Otherwise Noted)
Sector and Source: Commercial:
Distillate Fuel..............
Exogenous
Variables:
#
1) Table #3 Energy Prices by Sector and Source (1998 Dollars per Million Btu)
Sector and Source: Commercial.....................: Distillate Fuel..........
#
2) Table #5 Commercial Sector Key Indicators and Consumption (Quadrillion Btu
per year, Unless otherwise noted)
Key Indicators and Consumption: Total Floorspace(bill.
sq. ft.):
Total......................
Exogenous
Variable Mean Coefficient Elasticity t-statistic
Variable#
1 5.525886 -.045996 -.666781 -29.238538
Variable#
2 71.5889 .001933 .363027 3.186917
Constant
.496975
Endogenous Mean SER R-sq LR-Multiplier
Variable .3811878 .009257 .950059 n/a
Data
pooled for the years
2005 to 2020 for the
solutions given below:
aeo2k.ran
hwop2k.ran
lwop2k.ran
Endogenous
Variable:
Table
#2 Energy Consumption by Sector and Source (Quadrillion Btu per Year, Unless
Otherwise Noted)
Sector and Source: Commercial:
Distillate Fuel..............
Exogenous
Variables:
#
1) Table #3 Energy Prices by Sector and Source (1999 Dollars per Million Btu,
Unless Otherwise Noted)
Sector and Source: Commercial.....................: Distillate Fuel..........
#
2) Table #5 Commercial Sector Key Indicators and Consumption (Quadrillion Btu
per year, Unless otherwise noted)
Key Indicators and Consumption: Total Floorspace(bill.
sq. ft.):
Total......................
Exogenous
Variable Mean Coefficient Elasticity t-statistic
Variable#
1 5.325486 -.074413 -.907896 -20.778467
Variable#
2 77.29922 .006153 1.089658 6.381829
Constant
.357151
Endogenous Mean SER R-sq LR-Multiplier
Variable .4364876 .022891 .906633 n/a
Data
pooled for the years
2005 to 2020 for the
solutions given below:
aeo2001.ran
hw2001.ran
lw2001.ran
Endogenous
Variable:
Table
#2 Energy Consumption by Sector and Source (quadrillion Btu, unless otherwise
noted)
Sector and Source: Commercial:
Distillate Fuel Oil
Exogenous
Variables:
#
1) Table #3 Energy Prices by Sector and Source (2005 dollars per million Btu,
unless otherwise noted)
Sector and Source: Distillate Fuel Oil:
#
2) Table #5 Commercial Sector Key Indicators and Consumption (quadrillion Btu,
unless otherwise noted)
Key Indicators and Consumption: Total Floorspace (billion squar: Total
Exogenous
Variable Mean Coefficient Elasticity t-statistic
Variable#
1 11.90756 -.013608 -.327468 -18.986104
Variable#
2 93.38322 .003045 .574656 9.664773
Constant
.372507
Endogenous Mean SER R-sq LR-Multiplier
Variable .494821 .020745 .878192 n/a
Data
pooled for the years
2010 to 2030 for the
solutions given below:
aeo2007.1121a.ran
hp2007.1121a.ran
lp2007.1121a.ran