EIA Logo

Short-Term Energy Outlook

Coal Model Regression Results


Table

  1. CLPRPUSY - Coal Production
  2. CLSEPUSX - Electric Utility Coal Stocks
  3. CLSOPUSX - Retail and General Industry Coal Stocks
  4. CLSKPUSX - Coking Coal Stocks
  5. CLRCPUS - Residential Coal Demand
  6. CLCCPUS - Commercial Coal Demand
  7. CLXCPUS - Other Industrial Coal Demand
  8. CLEUPUS - Electric Utility Coal Demand
  9. RSPRPUSA - Raw Steel Production
  10. K1 - Ratio Coke Consumption to Coke-based Raw Steel Production
  11. K2 - Ratio Coke Net Imports to Coke Consumption
  12. K3 - Ratio Coke Stocks to Coke Consumption
  13. K4 - Ratio Coking Coal Consumption to Coke Production
  14. K5 - Ratio Electric Arc Raw Steel Production to Total Raw Steel Production


Related Coal Model Documentation


Table 1. Coal Production, CLPRPUSY (million short tons per day)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
CLPRPUSY 16 231 4.3328 0.0188 0.137 0.837 0.826 2.225
ParameterEstimateApprox. Std. Err.'T' RatioLabel
CLPR_01 1.878418 0.0564 33.31 Constant Coefficient
CLPR_18 -0.9765 0.115 -8.49 STRIKE2 = 1 for labor strike from April 1981 - May 1981, 0 otherwise
CLPR_02 0.003444 0.000226 15.27 TIME = 1 to n, where n = number of observation
CLPR_06 0.071791 0.0353 2.03 JAN = 1 if January, 0 otherwise
CLPR_07 0.247172 0.0427 5.79 FEB = 1 if February, 0 otherwise
CLPR_08 0.266342 0.0457 5.83 MAR = 1 if March, 0 otherwise
CLPR_09 0.108899 0.0473 2.3 APR = 1 if April, 0 otherwise
CLPR_10 0.052598 0.0478 1.1 MAY = 1 if May, 0 otherwise
CLPR_11 0.11702 0.0476 2.46 JUN = 1 if June, 0 otherwise
CLPR_12 -0.08994 0.0475 -1.89 JUL = 1 if July, 0 otherwise
CLPR_13 0.23513 0.0474 4.96 AUG = 1 if August, 0 otherwise
CLPR_14 0.224324 0.0463 4.85 SEP = 1 if September, 0 otherwise
CLPR_15 0.210833 0.0433 4.87 OCT = 1 if October, 0 otherwise
CLPR_16 0.126332 0.0359 3.52 NOV = 1 if November, 0 otherwise
CLPRPUSY_L1 0.455201 0.0584 7.8 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1981 through July 2001


Table 2. Electric Utility Coal Stocks, CLSEPUSX (million short tons)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
CLSEPUSX 15 122 1086.6 8.9063 2.9843 0.982 0.980 0.850
ParameterEstimateApprox. Std. Err.'T' RatioLabel
CLSE_01 317.0987 91.5404 3.46 Constant Coefficient
CLSE_02 -16.8239 3.9256 -4.29 CLEUPUS, coal demand by electric utilities
CLSE_18 -0.56383 0.2998 -1.88 TIME = 1 to n, where n = number of observation
CLSE_06 -2.98752 0.8521 -3.51 JAN = 1 if January, 0 otherwise
CLSE_07 -2.14374 1.1625 -1.84 FEB = 1 if February, 0 otherwise
CLSE_08 -0.22942 1.5799 -0.15 MAR = 1 if March, 0 otherwise
CLSE_09 4.127616 1.916 2.15 APR = 1 if April, 0 otherwise
CLSE_10 9.418798 1.8327 5.14 MAY = 1 if May, 0 otherwise
CLSE_11 11.12716 1.5535 7.16 JUN = 1 if June, 0 otherwise
CLSE_12 4.213704 1.7151 2.46 JUL = 1 if July, 0 otherwise
CLSE_13 -0.33326 1.6583 -0.2 AUG = 1 if August, 0 otherwise
CLSE_14 -3.27332 1.3624 -2.4 SEP = 1 if September, 0 otherwise
CLSE_15 -1.71485 1.3382 -1.28 OCT = 1 if October, 0 otherwise
CLSE_16 0.933005 0.999 0.93 NOV = 1 if November, 0 otherwise
CLSEPUSX_L1 0.973425 0.0195 49.82 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1990 through May 2001


Table 3. Retail and General Industry Coal Stocks, CLSOPUSX (million short tons)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
CLSOPUSX 15 122 1.6125 0.0132 0.115 0.990 0.989 0.799
ParameterEstimateApprox. Std. Err.'T' RatioLabel
CLSO_01 12.59285 1.7317 7.27 Constant Coefficient
CLSO_02 -0.06395 1.285 -0.05 CLZCPUS, retail and general industry coal demand
CLSO_18 -0.02443 0.00612 -3.99 TIME = 1 to n, where n = number of observation
CLSO_06 -0.33974 0.0356 -9.54 JAN = 1 if January, 0 otherwise
CLSO_07 -0.67749 0.0447 -15.15 FEB = 1 if February, 0 otherwise
CLSO_08 -1.01983 0.0562 -18.14 MAR = 1 if March, 0 otherwise
CLSO_09 -0.96319 0.0661 -14.56 APR = 1 if April, 0 otherwise
CLSO_10 -0.8799 0.0778 -11.31 MAY = 1 if May, 0 otherwise
CLSO_11 -0.79848 0.073 -10.93 JUN = 1 if June, 0 otherwise
CLSO_12 -0.59118 0.0729 -8.11 JUL = 1 if July, 0 otherwise
CLSO_13 -0.38626 0.0716 -5.39 AUG = 1 if August, 0 otherwise
CLSO_14 -0.18288 0.0642 -2.85 SEP = 1 if September, 0 otherwise
CLSO_15 -0.12087 0.0507 -2.38 OCT = 1 if October, 0 otherwise
CLSO_16 -0.06131 0.0339 -1.81 NOV = 1 if November, 0 otherwise
CLSOPUSX_L1 0.959281 0.0251 38.27 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1990 through May 2001


Table 4. Coking Coal Stocks, CLSKPUSX (million short tons)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
CLSKPUSX 15 122 0.9905 0.00812 0.0901 0.973 0.970 1.07
ParameterEstimateApprox. Std. Err.'T' RatioLabel
CLSK_01 5.42472 0.6754 8.03 Constant Coefficient
CLSK_02 3.854149 2.7235 1.42 CLKCPUS, coking coal demand
CLSK_18 -0.01323 0.00225 -5.88 TIME = 1 to n, where n = number of observation
CLSK_06 0.026029 0.0263 0.99 JAN = 1 if January, 0 otherwise
CLSK_07 0.044623 0.0353 1.26 FEB = 1 if February, 0 otherwise
CLSK_08 0.067485 0.0411 1.64 MAR = 1 if March, 0 otherwise
CLSK_09 0.057346 0.045 1.28 APR = 1 if April, 0 otherwise
CLSK_10 0.094009 0.0471 2.00 MAY = 1 if May, 0 otherwise
CLSK_11 0.13248 0.0481 2.76 JUN = 1 if June, 0 otherwise
CLSK_12 0.050631 0.0476 1.06 JUL = 1 if July, 0 otherwise
CLSK_13 -0.00952 0.0458 -0.21 AUG = 1 if August, 0 otherwise
CLSK_14 -0.07214 0.0425 -1.7 SEP = 1 if September, 0 otherwise
CLSK_15 -0.04104 0.0366 -1.12 OCT = 1 if October, 0 otherwise
CLSK_16 -0.02506 0.0273 -0.92 NOV = 1 if November, 0 otherwise
CLSKPUSX_L1 0.903204 0.0378 23.87 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1990 through May 2001


Table 5. Residential Coal Demand, CLRCPUS (million short tons per day)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
CLRCPUS 16 236 0.00025 0.000001 0.00103 0.8617 0.8529 1.957
ParameterEstimateApprox. Std. Err.'T' RatioLabel
CLRC_01 0.007236 0.00104 6.94 Constant Coefficient
CLRC_02 0.002471 0.000561 4.41 D8401ON = 1 if January 1984 or later, 0 otherwise
CLRC_03 -0.00002 0.000002 -7.82 TREND84 = TIME starting January 1984, 0 otherwise
CLRC_04 6.92E-06 0.000001 5.94 ZWHDPUS, heating degree-days, population weighted, United States
CLRC_05 -0.00249 0.000282 -8.82 JAN = 1 if January, 0 otherwise
CLRC_06 -0.00207 0.000338 -6.14 FEB = 1 if February, 0 otherwise
CLRC_07 -0.00396 0.000428 -9.26 MAR = 1 if March, 0 otherwise
CLRC_08 -0.0009 0.000664 -1.36 APR = 1 if April, 0 otherwise
CLRC_09 -0.00243 0.000864 -2.81 MAY = 1 if May, 0 otherwise
CLRC_10 -0.0019 0.000985 -1.92 JUN = 1 if June, 0 otherwise
CLRC_11 -0.00017 0.00101 -0.17 JUL = 1 if July, 0 otherwise
CLRC_12 -0.00044 0.00101 -0.44 AUG = 1 if August, 0 otherwise
CLRC_13 -0.00058 0.000943 -0.62 SEP = 1 if September, 0 otherwise
CLRC_14 -0.00204 0.000715 -2.85 OCT = 1 if October, 0 otherwise
CLRC_15 -0.00115 0.000425 -2.72 NOV = 1 if November, 0 otherwise
CLRCPUS_L1 0.465769 0.058 8.03 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1980 through December 2000


Table 6. Commercial Coal Demand, CLCCPUS (million short tons per day)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
CLCCPUS 16 236 0.000562 0.000002 0.00154 0.862 0.853 1.96
ParameterEstimateApprox. Std. Err.'T' RatioLabel
CLCC_01 0.010854 0.00156 6.94 Constant Coefficient
CLCC_02 0.003707 0.000841 4.41 D8401ON = 1 if January 1984 or later, 0 otherwise
CLCC_03 -0.00003 0.000003 -7.82 TREND84 = TIME starting January 1984, 0 otherwise
CLCC_04 0.00001 0.000002 5.94 ZWHDPUS, heating degree-days, population weighted, United States
CLCC_05 -0.00374 0.000424 -8.82 JAN = 1 if January, 0 otherwise
CLCC_06 -0.00311 0.000507 -6.14 FEB = 1 if February, 0 otherwise
CLCC_07 -0.00594 0.000641 -9.26 MAR = 1 if March, 0 otherwise
CLCC_08 -0.00135 0.000996 -1.36 APR = 1 if April, 0 otherwise
CLCC_09 -0.00365 0.0013 -2.81 MAY = 1 if May, 0 otherwise
CLCC_10 -0.00284 0.00148 -1.92 JUN = 1 if June, 0 otherwise
CLCC_11 -0.00025 0.00152 -0.17 JUL = 1 if July, 0 otherwise
CLCC_12 -0.00066 0.00151 -0.44 AUG = 1 if August, 0 otherwise
CLCC_13 -0.00088 0.00141 -0.62 SEP = 1 if September, 0 otherwise
CLCC_14 -0.00306 0.00107 -2.85 OCT = 1 if October, 0 otherwise
CLCC_15 -0.00173 0.000638 -2.72 NOV = 1 if November, 0 otherwise
CLCCPUS_L1 0.465766 0.058 8.03 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1980 through December 2000


Table 7. Other Industrial Coal Demand, CLXCPUS (million short tons per day)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
CLXCPUS 16 236 0.0152 0.000064 0.00802 0.8092 0.797 1.7995
ParameterEstimateApprox. Std. Err.'T' RatioLabel
CLXC_01 0.202514 0.0354 5.72 Constant Coefficient
CLXC_02 0.032514 0.00953 3.41 D8401ON = 1 if January 1984 or later, 0 otherwise
CLXC_03 -0.00013 0.000085 -1.52 TREND84 = TIME starting January 1984, 0 otherwise
CLXC_04 -0.01183 0.0478 -0.25 ZOSIIUS, coal weighted industrial production index
CLXC_05 -0.00354 0.00197 -1.8 JAN = 1 if January, 0 otherwise
CLXC_06 0.006823 0.00248 2.75 FEB = 1 if February, 0 otherwise
CLXC_07 -0.01361 0.00273 -4.98 MAR = 1 if March, 0 otherwise
CLXC_08 -0.0175 0.00286 -6.11 APR = 1 if April, 0 otherwise
CLXC_09 -0.02826 0.00293 -9.66 MAY = 1 if May, 0 otherwise
CLXC_10 -0.02607 0.00294 -8.85 JUN = 1 if June, 0 otherwise
CLXC_11 -0.02858 0.00292 -9.77 JUL = 1 if July, 0 otherwise
CLXC_12 -0.02673 0.00286 -9.35 AUG = 1 if August, 0 otherwise
CLXC_13 -0.02359 0.00273 -8.66 SEP = 1 if September, 0 otherwise
CLXC_14 -0.01313 0.00247 -5.31 OCT = 1 if October, 0 otherwise
CLXC_15 -0.00237 0.00196 -1.21 NOV = 1 if November, 0 otherwise
CLXCPUS_L1 0.592343 0.0535 11.07 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1980 through December 2000


Table 8. Electric Utility Coal Demand, CLEUPUS (million short tons per day)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
CLEUPUS 16 37 0.00520 0.000141 0.0119 0.997 0.996 1.954
ParameterEstimateApprox. Std. Err.'T' RatioLabel
CLEU_01 0.211837 0.1094 1.94 Constant Coefficient
CLEU_02 0.451568 0.0137 32.88 CLEOPUS, utility coal-fired electricity generation
CLEU_18 0.000179 0.000173 1.03 TIME = 1 to n, where n = number of observation
CLEU_06 0.004819 0.0075 0.64 JAN = 1 if January, 0 otherwise
CLEU_07 -0.00352 0.00858 -0.41 FEB = 1 if February, 0 otherwise
CLEU_08 -0.039 0.0106 -3.69 MAR = 1 if March, 0 otherwise
CLEU_09 -0.05254 0.0124 -4.25 APR = 1 if April, 0 otherwise
CLEU_10 -0.02791 0.0107 -2.61 MAY = 1 if May, 0 otherwise
CLEU_11 0.00434 0.00853 0.51 JUN = 1 if June, 0 otherwise
CLEU_12 0.034179 0.00998 3.43 JUL = 1 if July, 0 otherwise
CLEU_13 0.035656 0.00974 3.66 AUG = 1 if August, 0 otherwise
CLEU_14 0.001895 0.00845 0.22 SEP = 1 if September, 0 otherwise
CLEU_15 -0.0095 0.00934 -1.02 OCT = 1 if October, 0 otherwise
CLEU_16 -0.00459 0.00902 -0.51 NOV = 1 if November, 0 otherwise
CLEUPUS_L1 0.124447 0.1679 0.74 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1997 through May 2001


Table 9. Raw Steel Production, RSPRPUSA (million short tons per day)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
RSPRPUSA 5 157 0.0062 0.000039 0.00628 0.9211 0.9191 2.184
ParameterEstimateApprox. Std. Err.'T' RatioLabel
RSP_01 0.221104 0.0194 11.42 Constant Coefficient
RSP_02 0.000222 0.000106 2.09 KRDRXUS, change in manufacturing inventories
RSP_03 0.000085 0.00003 2.8 I87RXUS, private fixed investment
RSP_04 -0.00019 0.000194 -0.99 TIME = 1 to n, where n = number of observation
RSPRPUSA_L1 0.855904 0.0367 23.31 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1987 through June 2001


Table 10. Coke Consumption / Coke-based Raw Steel Production, K1 (fraction)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
K1 14 148 0.074 0.0005 0.0224 0.835 0.821 1.957
ParameterEstimateApprox. Std. Err.'T' RatioLabel
K1_01 0.625224 0.0208 30.11 Constant Coefficient
K1_02 -0.00092 0.000085 -10.83 TIME = 1 to n, where n = number of observation
K1_06 0.009621 0.00683 1.41 JAN = 1 if January, 0 otherwise
K1_07 0.044666 0.00856 5.22 FEB = 1 if February, 0 otherwise
K1_08 -0.00404 0.00938 -0.43 MAR = 1 if March, 0 otherwise
K1_09 0.001724 0.0098 0.18 APR = 1 if April, 0 otherwise
K1_10 -0.00815 0.01 -0.81 MAY = 1 if May, 0 otherwise
K1_11 0.012622 0.0101 1.25 JUN = 1 if June, 0 otherwise
K1_12 0.013358 0.0101 1.32 JUL = 1 if July, 0 otherwise
K1_13 0.015481 0.00999 1.55 AUG = 1 if August, 0 otherwise
K1_14 0.02252 0.00958 2.35 SEP = 1 if September, 0 otherwise
K1_15 -0.00995 0.00876 -1.14 OCT = 1 if October, 0 otherwise
K1_16 0.005554 0.00703 0.79 NOV = 1 if November, 0 otherwise
K1_L1 0.557056 0.0689 8.09 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1987 through June 2001


Table 11. Coke Net Imports/Coke Consumption, K2 (fraction)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
K2 14 148 0.2991 0.00202 0.045 0.362 0.306 2.124
ParameterEstimateApprox. Std. Err.'T' RatioLabel
K2_01 -0.09776 0.0254 -3.85 Constant Coefficient
K2_02 0.000634 0.000096 6.59 TIME = 1 to n, where n = number of observation
K2_06 0.029373 0.0157 1.88 JAN = 1 if January, 0 otherwise
K2_07 0.007281 0.0173 0.42 FEB = 1 if February, 0 otherwise
K2_08 0.025797 0.0176 1.46 MAR = 1 if March, 0 otherwise
K2_09 0.027411 0.0177 1.55 APR = 1 if April, 0 otherwise
K2_10 0.011914 0.0177 0.67 MAY = 1 if May, 0 otherwise
K2_11 0.012925 0.0177 0.73 JUN = 1 if June, 0 otherwise
K2_12 0.019692 0.018 1.09 JUL = 1 if July, 0 otherwise
K2_13 0.019364 0.018 1.07 AUG = 1 if August, 0 otherwise
K2_14 0.009157 0.018 0.51 SEP = 1 if September, 0 otherwise
K2_15 0.018632 0.0176 1.06 OCT = 1 if October, 0 otherwise
K2_16 0.002064 0.016 0.13 NOV = 1 if November, 0 otherwise
K2_L1 0.214492 0.0804 2.67 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1987 through June 2001


Table 12. Coke Stocks/Coke Consumption, K3 (fraction)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
K3 14 148 0.6081 0.00411 0.0641 0.909 0.901 1.899
ParameterEstimateApprox. Std. Err.'T' RatioLabel
K3_01 0.700065 0.4554 1.54 Constant Coefficient
K3_02 -0.00029 0.00183 -0.16 TIME = 1 to n, where n = number of observation
K3_06 -0.06796 0.0169 -4.01 JAN = 1 if January, 0 otherwise
K3_07 -0.06301 0.0229 -2.76 FEB = 1 if February, 0 otherwise
K3_08 -0.05835 0.0266 -2.19 MAR = 1 if March, 0 otherwise
K3_09 -0.04284 0.029 -1.48 APR = 1 if April, 0 otherwise
K3_10 -0.03869 0.0305 -1.27 MAY = 1 if May, 0 otherwise
K3_11 -0.03478 0.031 -1.12 JUN = 1 if June, 0 otherwise
K3_12 -0.02891 0.0308 -0.94 JUL = 1 if July, 0 otherwise
K3_13 -0.02462 0.0296 -0.83 AUG = 1 if August, 0 otherwise
K3_14 -0.02056 0.0273 -0.75 SEP = 1 if September, 0 otherwise
K3_15 -0.00702 0.0235 -0.3 OCT = 1 if October, 0 otherwise
K3_16 -0.00341 0.0175 -0.19 NOV = 1 if November, 0 otherwise
K3_L1 0.939403 0.0256 36.64 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1987 through June 2001


Table 13. Coking Coal Consumption/Coke Production, K4 (fraction)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
K4 14 148 0.2322 0.00157 0.0396 0.521 0.479 2.054
ParameterEstimateApprox. Std. Err.'T' RatioLabel
K4_01 1.448708 0.0238 60.75 Constant Coefficient
K4_02 -0.00023 0.000092 -2.48 TIME = 1 to n, where n = number of observation
K4_06 0.031165 0.0134 2.32 JAN = 1 if January, 0 otherwise
K4_07 -0.07346 0.0152 -4.82 FEB = 1 if February, 0 otherwise
K4_08 0.058516 0.0157 3.73 MAR = 1 if March, 0 otherwise
K4_09 0.010436 0.0158 0.66 APR = 1 if April, 0 otherwise
K4_10 0.038123 0.0159 2.41 MAY = 1 if May, 0 otherwise
K4_11 -0.04834 0.0159 -3.05 JUN = 1 if June, 0 otherwise
K4_12 0.018682 0.0161 1.16 JUL = 1 if July, 0 otherwise
K4_13 0.009466 0.0161 0.59 AUG = 1 if August, 0 otherwise
K4_14 -0.01622 0.016 -1.01 SEP = 1 if September, 0 otherwise
K4_15 0.005081 0.0155 0.33 OCT = 1 if October, 0 otherwise
K4_16 -0.03025 0.0138 -2.2 NOV = 1 if November, 0 otherwise
K4_L1 0.274658 0.0786 3.49 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1987 through June 2001


Table 14. Electric Arc Raw Steel Production/Total Raw Steel Production, K5 (fraction)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
K5 14 148 0.0346 0.000234 0.0153 0.838 0.824 2.386
ParameterEstimateApprox. Std. Err.'T' RatioLabel
K5_01 0.776253 0.0151 51.48 Constant Coefficient
K5_02 -0.00068 0.000062 -10.91 TIME = 1 to n, where n = number of observation
K5_06 -0.02027 0.00464 -4.37 JAN = 1 if January, 0 otherwise
K5_07 -0.02815 0.00585 -4.81 FEB = 1 if February, 0 otherwise
K5_08 -0.0234 0.00645 -3.63 MAR = 1 if March, 0 otherwise
K5_09 -0.02572 0.00677 -3.8 APR = 1 if April, 0 otherwise
K5_10 -0.02169 0.00692 -3.13 MAY = 1 if May, 0 otherwise
K5_11 -0.02127 0.00697 -3.05 JUN = 1 if June, 0 otherwise
K5_12 -0.01102 0.00701 -1.57 JUL = 1 if July, 0 otherwise
K5_13 -0.01908 0.00689 -2.77 AUG = 1 if August, 0 otherwise
K5_14 -0.01998 0.00659 -3.03 SEP = 1 if September, 0 otherwise
K5_15 -0.01444 0.00599 -2.41 OCT = 1 if October, 0 otherwise
K5_16 -0.00949 0.00476 -1.99 NOV = 1 if November, 0 otherwise
K5_L1 0.583212 0.0638 9.14 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1987 through June 2001


EIA Home Page

File last modified: October 4, 2001

Contact:
Elias Johnson
Email: elias.johnson@eia.doe.gov
Phone: (202) 586-7277
Fax: (202) 586-9753

This page's URL: http://www.eia.doe.gov/emeu/steo/pub/document/regrcl.html

If you are having technical problems with this site, please contact the EIA Webmaster at wmaster@eia.doe.gov.