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The Official Journal of the Pan-Pacific Association of Input-Output Studies (PAPAIOS)

Table 23 Comparative estimation output OLS–SUR

From: Restatement of the I-O Coefficient Stability Problem

Equation: d( sca 1 )=c(1)+c(2) sca 1 (1)+c(501)d90
OLS SUR
R-squared 0.592041 Mean dependent var. 0.001486537 R-squared 0.582578 Mean dependent var. 0.001486537
Adjusted R-squared 0.544045 S.D. dependent var. 0.04237619 Adjusted R-squared 0.533469 S.D. dependent var. 0.04237619
S.E. of regression 0.028614 Sum squared resid. 0.013919204 S.E. of regression 0.028944 Sum squared resid. 0.014242074
Durbin–Watson stat. 1.538095    Durbin–Watson stat. 1.721237   
Equation: d( sca 2 )=c(3)+c(4) sca 2 (1)+c(5)d( sca 2 (1))+c(502)d95+c(503)d96
OLS SUR
R-squared 0.827101 Mean dependent var. −0.00231224 R-squared 0.822768 Mean dependent var. −0.00231224
Adjusted R-squared 0.777702 S.D. dependent var. 0.067510188 Adjusted R-squared 0.77213 S.D. dependent var. 0.067510188
S.E. of regression 0.03183 Sum squared resid. 0.014184143 S.E. of regression 0.032227 Sum squared resid. 0.014539665
Durbin–Watson stat. 2.754131    Durbin–Watson stat. 2.693471   
Equation: d( sca 3 )=c(6)+c(7) sca 3 (3)+c(8)/t+c(504)d96
OLS SUR
R-squared 0.778591 Mean dependent var. −0.00144036 R-squared 0.773913 Mean dependent var. −0.00144036
Adjusted R-squared 0.731147 S.D. dependent var. 0.031713173 Adjusted R-squared 0.725466 S.D. dependent var. 0.031713173
S.E. of regression 0.016444 Sum squared resid. 0.003785497 S.E. of regression 0.016616 Sum squared resid. 0.003865477
Durbin–Watson stat. 2.002707    Durbin–Watson stat. 1.987606   
Equation: d( sca 4 )=c(9)+c(10) sca 4 (2)+c(11)d( sca 4 ,2)+c(12)t/(t+1)+c(505)d96
OLS SUR
R-squared 0.893072 Mean dependent var. −0.00551455 R-squared 0.890453 Mean dependent var. −0.00551455
Adjusted R-squared 0.862522 S.D. dependent var. 0.028411694 Adjusted R-squared 0.859154 S.D. dependent var. 0.028411694
S.E. of regression 0.010535 Sum squared resid. 0.001553663 S.E. of regression 0.010663 Sum squared resid. 0.00159172
Durbin–Watson stat. 1.833085    Durbin–Watson stat. 1.813972   
Equation: d( sca 5 )=c(13)+c(14) sca 5 (1)+c(15)d( sca 5 (1))+c(16)t/(t+1)
OLS SUR
R-squared 0.805431 Mean dependent var. 0.000363901 R-squared 0.801683 Mean dependent var. 0.000363901
Adjusted R-squared 0.766517 S.D. dependent var. 0.033923317 Adjusted R-squared 0.76202 S.D. dependent var. 0.033923317
S.E. of regression 0.016392 Sum squared resid. 0.004030354 S.E. of regression 0.016549 Sum squared resid. 0.004107978
Durbin–Watson stat. 2.597269    Durbin–Watson stat. 2.536249   
Equation: d( sca 6 )=c(17)+c(18) sca 6 (1)+c(19)d( sca 6 (1))+c(20)t/(t+1)
OLS SUR
R-squared 0.741118 Mean dependent var. −0.00271833 R-squared 0.737032 Mean dependent var. −0.00271833
Adjusted R-squared 0.689341 S.D. dependent var. 0.03293319 Adjusted R-squared 0.684438 S.D. dependent var. 0.03293319
S.E. of regression 0.018356 Sum squared resid. 0.005054087 S.E. of regression 0.0185 Sum squared resid. 0.005133851
Durbin–Watson stat. 1.930535    Durbin–Watson stat. 1.811626   
Equation: d( sca 7 )=c(21)+c(22) sca 7 (1)+c(23)d( sca 7 (1))+c(24)d( sca 7 (2)) +c(25)d( sca 7 (3))+c(26)t/(t+1)
OLS SUR
R-squared 0.776545 Mean dependent var. −0.00219888 R-squared 0.775659 Mean dependent var. −0.00219888
Adjusted R-squared 0.674974 S.D. dependent var. 0.021803938 Adjusted R-squared 0.673686 S.D. dependent var. 0.021803938
S.E. of regression 0.012431 Sum squared resid. 0.001699731 S.E. of regression 0.012455 Sum squared resid. 0.001706466
Durbin–Watson stat. 2.45839    Durbin–Watson stat. 2.449675   
Equation: d( sca 8 )=c(27)+c(28) sca 8 (1)+c(29)d( sca 8 ,2)+c(506)d96
OLS SUR
R-squared 0.79341 Mean dependent var. −0.00483833 R-squared 0.792092 Mean dependent var. −0.00483833
Adjusted R-squared 0.752092 S.D. dependent var. 0.024203015 Adjusted R-squared 0.75051 S.D. dependent var. 0.024203015
S.E. of regression 0.012051 Sum squared resid. 0.002178319 S.E. of regression 0.012089 Sum squared resid. 0.002192212
Durbin–Watson stat. 1.725176    Durbin–Watson stat. 1.776138   
Equation: d( sca 9 )=c(30)+c(31) sca 9 (1)+c(32)d( sca 9 (2))+c(33)t/(t+1)+c(507)d96
OLS SUR
R-squared 0.846468 Mean dependent var. −0.00080741 R-squared 0.845128 Mean dependent var. −0.00080741
Adjusted R-squared 0.799227 S.D. dependent var. 0.022579243 Adjusted R-squared 0.797475 S.D. dependent var. 0.022579243
S.E. of regression 0.010117 Sum squared resid. 0.001330662 S.E. of regression 0.010161 Sum squared resid. 0.001342271
Durbin–Watson stat. 1.832536    Durbin–Watson stat. 1.928251   
Equation: d( sca 10 )=c(34)+c(35)t/(t+1)+c(36) sca 10 (1)+c(508)d90+c(509)d95
OLS SUR
R-squared 0.848972 Mean dependent var. −0.00253882 R-squared 0.846468 Mean dependent var. −0.00253882
Adjusted R-squared 0.808698 S.D. dependent var. 0.031535026 Adjusted R-squared 0.805526 S.D. dependent var. 0.031535026
S.E. of regression 0.013793 Sum squared resid. 0.002853624 S.E. of regression 0.013907 Sum squared resid. 0.002900946
Durbin–Watson stat. 2.4873    Durbin–Watson stat. 2.432552   
Equation: d( sra 1 )=c(37)+c(38) sra 1 (1)+c(39)d( sra 1 (2))+c(40)/t+c(510)d98
OLS SUR
R-squared 0.611242 Mean dependent var. −0.01089713 R-squared 0.609433 Mean dependent var. −0.01089713
Adjusted R-squared 0.491625 S.D. dependent var. 0.047563903 Adjusted R-squared 0.489258 S.D. dependent var. 0.047563903
S.E. of regression 0.033913 Sum squared resid. 0.014951435 S.E. of regression 0.033992 Sum squared resid. 0.015021033
Durbin–Watson stat. 1.439341    Durbin–Watson stat. 1.431766   
Equation: d( sra 2 )=c(41)+c(42) sra 2 (1)+c(43)d( sra 2 ,2)+c(511)d99
OLS SUR
R-squared 0.777682 Mean dependent var. −0.00733534 R-squared 0.773894 Mean dependent var. −0.00733534
Adjusted R-squared 0.733218 S.D. dependent var. 0.089810856 Adjusted R-squared 0.728673 S.D. dependent var. 0.089810856
S.E. of regression 0.046388 Sum squared resid. 0.032277867 S.E. of regression 0.046782 Sum squared resid. 0.032827865
Durbin–Watson stat. 1.66777    Durbin–Watson stat. 1.64911   
Equation: d( sra 3 )=c(44)+c(45) sra 3 (2)+c(46)d( sra 3 (1))+c(512)d99
OLS SUR
R-squared 0.604261 Mean dependent var. 0.007327141 R-squared 0.601432 Mean dependent var. 0.007327141
Adjusted R-squared 0.525113 S.D. dependent var. 0.095697545 Adjusted R-squared 0.521718 S.D. dependent var. 0.095697545
S.E. of regression 0.065947 Sum squared resid. 0.065235376 S.E. of regression 0.066182 Sum squared resid. 0.065701731
Durbin–Watson stat. 1.611126    Durbin–Watson stat. 1.521897   
Equation: d( sra 4 )=c(47)+c(48) sra 4 (1)+c(513)d96+c(514)d91
OLS SUR
R-squared 0.701614 Mean dependent var. −0.00211187 R-squared 0.683711 Mean dependent var. −0.00211187
Adjusted R-squared 0.645667 S.D. dependent var. 0.044451546 Adjusted R-squared 0.624407 S.D. dependent var. 0.044451546
S.E. of regression 0.02646 Sum squared resid. 0.011202251 S.E. of regression 0.027242 Sum squared resid. 0.011874394
Durbin–Watson stat. 2.497302    Durbin–Watson stat. 2.320523   
Equation: d( sra 5 HP)=c(49)+c(50) sra 5 HP(1)+c(51)d( sra 5 HP(1))
OLS SUR
R-squared 0.998586 Mean dependent var. −0.00657374 R-squared 0.998573 Mean dependent var. −0.00657374
Adjusted R-squared 0.998409 S.D. dependent var. 0.00887352 Adjusted R-squared 0.998394 S.D. dependent var. 0.00887352
S.E. of regression 0.000354 Sum squared resid. 2.00E-06 S.E. of regression 0.000356 Sum squared resid. 2.02E-06
Durbin–Watson stat. 0.584091    Durbin–Watson stat. 0.585266   
Equation: d( sra 5 HPd)=c(52) sra 5 HPd(1)+c(53)d( sra 5 HPd(1))+c(515)d93+c(516)d96
OLS SUR
R-squared 0.852908 Mean dependent var. 7.88E-06 R-squared 0.848174 Mean dependent var. 7.88E-06
Adjusted R-squared 0.82349 S.D. dependent var. 0.029321112 Adjusted R-squared 0.817809 S.D. dependent var. 0.029321112
S.E. of regression 0.012319 Sum squared resid. 0.00227626 S.E. of regression 0.012515 Sum squared resid. 0.002349518
Durbin–Watson stat. 1.956297    Durbin–Watson stat. 1.905226   
Equation: d( sra 6 )=c(54)+c(55) sra 6 (1)+c(56)d( sra 6 ,2)+c(517)d93
OLS SUR
R-squared 0.705175 Mean dependent var. −0.02886253 R-squared 0.701184 Mean dependent var. −0.02886253
Adjusted R-squared 0.64621 S.D. dependent var. 0.093185537 Adjusted R-squared 0.64142 S.D. dependent var. 0.093185537
S.E. of regression 0.055427 Sum squared resid. 0.046082199 S.E. of regression 0.055801 Sum squared resid. 0.046706118
Durbin–Watson stat. 1.764954    Durbin–Watson stat. 1.907709   
Equation: d( sra 7 )=c(57)+c(58) sra 7 (2)+c(59)d( sra 7 ,2)+c(60)/t
OLS SUR
R-squared 0.920327 Mean dependent var. −0.02012059 R-squared 0.918205 Mean dependent var. −0.02012059
Adjusted R-squared 0.904393 S.D. dependent var. 0.108371317 Adjusted R-squared 0.901847 S.D. dependent var. 0.108371317
S.E. of regression 0.033509 Sum squared resid. 0.016842702 S.E. of regression 0.033952 Sum squared resid. 0.017291216
Durbin–Watson stat. 1.736261    Durbin–Watson stat. 1.701985   
Equation: d( sra 8 HP)=c(61)+c(62) sra 8 HP(1)+c(63)d( sra 8 HP,2)+c(518)d93+c(519)d94
OLS SUR
R-squared 0.941453 Mean dependent var. 0.005926559 R-squared 0.941163 Mean dependent var. 0.005926559
Adjusted R-squared 0.924725 S.D. dependent var. 0.005647312 Adjusted R-squared 0.924352 S.D. dependent var. 0.005647312
S.E. of regression 0.001549 Sum squared resid. 3.36E-05 S.E. of regression 0.001553 Sum squared resid. 3.38E-05
Durbin–Watson stat. 1.30744    Durbin–Watson stat. 1.274754   
Equation: d( sra 8 HPd)=c(64)d( sra 8 HPd,2)+c(520)d92+c(521)d95
OLS SUR
R-squared 0.806027 Mean dependent var. 0.000312728 R-squared 0.803115 Mean dependent var. 0.000312728
Adjusted R-squared 0.78178 S.D. dependent var. 0.029986054 Adjusted R-squared 0.778504 S.D. dependent var. 0.029986054
S.E. of regression 0.014008 Sum squared resid. 0.00313945 S.E. of regression 0.014112 Sum squared resid. 0.003186578
Durbin–Watson stat. 2.438696    Durbin–Watson stat. 2.477959   
Equation: d( sra 9 )=c(65)+c(66) sra 9 (1)+c(522)d93+c(523)d99
OLS SUR
R-squared 0.774555 Mean dependent var. −0.00223569 R-squared 0.769816 Mean dependent var. −0.00223569
Adjusted R-squared 0.732284 S.D. dependent var. 0.110603027 Adjusted R-squared 0.726657 S.D. dependent var. 0.110603027
S.E. of regression 0.057227 Sum squared resid. 0.052399624 S.E. of regression 0.057826 Sum squared resid. 0.053501025
Durbin–Watson stat. 1.192039    Durbin–Watson stat. 1.327546   
Equation: d( sra 10 l)=c(67)+c(68) sra 10 l(3)+c(524)d94
OLS SUR
R-squared 0.871203 Mean dependent var. 0.10191042 R-squared 0.867635 Mean dependent var. 0.10191042
Adjusted R-squared 0.85403 S.D. dependent var. 0.172691047 Adjusted R-squared 0.849986 S.D. dependent var. 0.172691047
S.E. of regression 0.065978 Sum squared resid. 0.065297402 S.E. of regression 0.066886 Sum squared resid. 0.067106068
Durbin–Watson stat. 2.849506    Durbin–Watson stat. 2.662251