MODEL 1A
--> REGRESS;Lhs=lnep;Rhs=ONE, compulso, arrival, concurr, seatshar, restday, ...
,constitu, netpayer, netrecei$
+-----------------------------------------------------------------------+
| Ordinary least squares regression Weighting variable = none |
| Dep. var. = LNEP Mean= .5234934857 , S.D.= .9388390734 |
| Model size: Observations = 64, Parameters = 10, Deg.Fr.= 54 |
| Residuals: Sum of squares= 9.766228328 , Std.Dev.= .42527 |
| Fit: R-squared= .824125, Adjusted R-squared = .79481 |
| Model test: F[ 9, 54] = 28.12, Prob value = .00000 |
| Diagnostic: Log-L = -30.6536, Restricted(b=0) Log-L = -86.2690 |
| LogAmemiyaPrCrt.= -1.565, Akaike Info. Crt.= 1.270 |
| Autocorrel: Durbin-Watson Statistic = 1.09979, Rho = .45010 |
+-----------------------------------------------------------------------+
+---------+--------------+----------------+--------+---------+----------+
|Variable | Coefficient | Standard Error |t-ratio |P[|T|>t] | Mean of X|
+---------+--------------+----------------+--------+---------+----------+
Constant -.3106464100 .14082711 -2.206 .0317
COMPULSO 1.224447945 .17027337 7.191 .0000 .28125000
ARRIVAL .8963516067E-03 .20935305 .004 .9966 .93750000E-01
CONCURR .4284986239 .14446750 2.966 .0045 .26562500
SEATSHAR .1969184716E-01 .16860132E-01 1.168 .2480 8.2995483
RESTDAY .6399315287 .16027420 3.993 .0002 .68750000
LIST -.5642262840 .20577312 -2.742 .0083 .43750000
CONSTITU .9454306491E-01 .17400070 .543 .5891 .31250000
NETPAYER -.1592396331 .15709063 -1.014 .3153 .18750000
NETRECEI .6981437013E-01 .18670003 .374 .7099 .28125000
MODEL 1B
--> REGRESS;Lhs=lnep;Rhs=ONE, compulso, arrival, concurr, seatshar, restday, ...
,constitu, netpayer, netrecei, y1999,uk, italcomp, greece, ireland, finland
, sweden, france$
+-----------------------------------------------------------------------+
| Ordinary least squares regression Weighting variable = none |
| Dep. var. = LNEP Mean= .5234934857 , S.D.= .9388390734 |
| Model size: Observations = 64, Parameters = 18, Deg.Fr.= 46 |
| Residuals: Sum of squares= 2.342300872 , Std.Dev.= .22565 |
| Fit: R-squared= .957819, Adjusted R-squared = .94223 |
| Model test: F[ 17, 46] = 61.44, Prob value = .00000 |
| Diagnostic: Log-L = 15.0359, Restricted(b=0) Log-L = -86.2690 |
| LogAmemiyaPrCrt.= -2.730, Akaike Info. Crt.= .093 |
| Autocorrel: Durbin-Watson Statistic = 2.01335, Rho = -.00668 |
+-----------------------------------------------------------------------+
+---------+--------------+----------------+--------+---------+----------+
|Variable | Coefficient | Standard Error |t-ratio |P[|T|>t] | Mean of X|
+---------+--------------+----------------+--------+---------+----------+
Constant -.1551573026 .10733574 -1.446 .1551
COMPULSO 1.520633228 .21527747 7.064 .0000 .28125000
ARRIVAL .2316629623 .13764282 1.683 .0991 .93750000E-01
CONCURR .4082080127 .95953081E-01 4.254 .0001 .26562500
SEATSHAR .3767162851E-01 .16960306E-01 2.221 .0313 8.2995483
RESTDAY .4120888358 .16039394 2.569 .0135 .68750000
LIST -.2384888878 .25172900 -.947 .3484 .43750000
CONSTITU .3280713194 .18503370 1.773 .0828 .31250000
NETPAYER -.3712288611 .13235064 -2.805 .0074 .18750000
NETRECEI -.1999182618 .22822028 -.876 .3856 .28125000
Y1999 -.2912158473 .80121462E-01 -3.635 .0007 .23437500
UK -1.252533502 .29230159 -4.285 .0001 .78125000E-01
ITALCOMP -1.323495737 .25905617 -5.109 .0000 .46875000E-01
GREECE -.5395499348 .22106071 -2.441 .0186 .78125000E-01
IRELAND -.7140490344E-01 .28011057 -.255 .7999 .78125000E-01
FINLAND -.7460820942 .21466491 -3.476 .0011 .31250000E-01
SWEDEN -.3963434129 .23953044 -1.655 .1048 .31250000E-01
FRANCE -.4597390513 .19335269 -2.378 .0216 .78125000E-01
MODEL 2A
--> REGRESS;Lhs=lndiff;Rhs=ONE, compulso, arrival, concurr, seatshar, restday...
,constitu, netpayer, netrecei$
+-----------------------------------------------------------------------+
| Ordinary least squares regression Weighting variable = none |
| Dep. var. = LNDIFF Mean= -.9672004209 , S.D.= .6862341370 |
| Model size: Observations = 64, Parameters = 10, Deg.Fr.= 54 |
| Residuals: Sum of squares= 6.267294576 , Std.Dev.= .34068 |
| Fit: R-squared= .788751, Adjusted R-squared = .75354 |
| Model test: F[ 9, 54] = 22.40, Prob value = .00000 |
| Diagnostic: Log-L = -16.4588, Restricted(b=0) Log-L = -66.2098 |
| LogAmemiyaPrCrt.= -2.008, Akaike Info. Crt.= .827 |
| Autocorrel: Durbin-Watson Statistic = 1.50429, Rho = .24785 |
+-----------------------------------------------------------------------+
+---------+--------------+----------------+--------+---------+----------+
|Variable | Coefficient | Standard Error |t-ratio |P[|T|>t] | Mean of X|
+---------+--------------+----------------+--------+---------+----------+
Constant -1.705332464 .11281397 -15.116 .0000
COMPULSO .3986861067 .13640282 2.923 .0051 .28125000
ARRIVAL -.3907268024E-01 .16770882 -.233 .8167 .93750000E-01
CONCURR .6483192756 .11573022 5.602 .0000 .26562500
SEATSHAR -.3834436836E-03 .13506337E-01 -.028 .9775 8.2995483
RESTDAY .6431284278 .12839267 5.009 .0000 .68750000
LIST -.1093253504 .16484100 -.663 .5100 .43750000
CONSTITU .1428794931 .13938872 1.025 .3099 .31250000
NETPAYER -.3457214485 .12584237 -2.747 .0082 .18750000
NETRECEI .3075172205 .14956191 2.056 .0446 .28125000
MODEL 2B
--> REGRESS;Lhs=lndiff;Rhs=ONE, compulso, arrival, concurr, seatshar, restday...
,constitu, netpayer, netrecei, y1999, sweden, france, italcomp, luxembou$
+-----------------------------------------------------------------------+
| Ordinary least squares regression Weighting variable = none |
| Dep. var. = LNDIFF Mean= -.9672004209 , S.D.= .6862341370 |
| Model size: Observations = 64, Parameters = 15, Deg.Fr.= 49 |
| Residuals: Sum of squares= 2.616126762 , Std.Dev.= .23106 |
| Fit: R-squared= .911819, Adjusted R-squared = .88662 |
| Model test: F[ 14, 49] = 36.19, Prob value = .00000 |
| Diagnostic: Log-L = 11.4980, Restricted(b=0) Log-L = -66.2098 |
| LogAmemiyaPrCrt.= -2.720, Akaike Info. Crt.= .109 |
| Autocorrel: Durbin-Watson Statistic = 2.12206, Rho = -.06103 |
+-----------------------------------------------------------------------+
+---------+--------------+----------------+--------+---------+----------+
|Variable | Coefficient | Standard Error |t-ratio |P[|T|>t] | Mean of X|
+---------+--------------+----------------+--------+---------+----------+
Constant -1.816453065 .96104663E-01 -18.901 .0000
COMPULSO .4290085328 .12400108 3.460 .0011 .28125000
ARRIVAL .2958932665 .13736826 2.154 .0362 .93750000E-01
CONCURR .4056140889 .96471606E-01 4.204 .0001 .26562500
SEATSHAR .7623145752E-02 .14976549E-01 .509 .6130 8.2995483
RESTDAY .6549689488 .96016210E-01 6.821 .0000 .68750000
LIST -.4159083745 .15487951 -2.685 .0099 .43750000
CONSTITU .3079206163 .10925051 2.818 .0069 .31250000
NETPAYER -.3613216612E-01 .10868917 -.332 .7410 .18750000
NETRECEI .6073852239 .12693941 4.785 .0000 .28125000
Y1999 -.1046247120 .78955263E-01 -1.325 .1913 .23437500
SWEDEN -1.012635224 .21064073 -4.807 .0000 .31250000E-01
FRANCE .6708386060 .14178485 4.731 .0000 .78125000E-01
ITALCOMP -.4745674224 .23853587 -1.990 .0522 .46875000E-01
LUXEMBOU .3486425266 .17222468 2.024 .0484 .78125000E-01
MODEL 3A
--> REGRESS;Lhs=lnep;Rhs=ONE, compulso, arrival, concurr, seatshar, restday, ...
,constitu, netpayer, netrecei, lnnp$
+-----------------------------------------------------------------------+
| Ordinary least squares regression Weighting variable = none |
| Dep. var. = LNEP Mean= .5234934857 , S.D.= .9388390734 |
| Model size: Observations = 64, Parameters = 11, Deg.Fr.= 53 |
| Residuals: Sum of squares= 5.689194062 , Std.Dev.= .32763 |
| Fit: R-squared= .897546, Adjusted R-squared = .87822 |
| Model test: F[ 10, 53] = 46.43, Prob value = .00000 |
| Diagnostic: Log-L = -13.3620, Restricted(b=0) Log-L = -86.2690 |
| LogAmemiyaPrCrt.= -2.073, Akaike Info. Crt.= .761 |
| Autocorrel: Durbin-Watson Statistic = 1.44713, Rho = .27643 |
+-----------------------------------------------------------------------+
+---------+--------------+----------------+--------+---------+----------+
|Variable | Coefficient | Standard Error |t-ratio |P[|T|>t] | Mean of X|
+---------+--------------+----------------+--------+---------+----------+
Constant -1.323817048 .19697181 -6.721 .0000
COMPULSO .6245726931 .16334811 3.824 .0003 .28125000
ARRIVAL -.2813917891E-01 .16135610 -.174 .8622 .93750000E-01
CONCURR .5881874866 .11427533 5.147 .0000 .26562500
SEATSHAR .5108138401E-02 .13202978E-01 .387 .7004 8.2995483
RESTDAY .6422539182 .12347713 5.201 .0000 .68750000
LIST -.2337631898 .16735230 -1.397 .1683 .43750000
CONSTITU .1296570962 .13417259 .966 .3383 .31250000
NETPAYER -.2947094754 .12300396 -2.396 .0201 .18750000
NETRECEI .2424937683 .14653890 1.655 .1039 .28125000
LNNP .7264506836 .11787492 6.163 .0000 1.4906939
MODEL 3B
--> REGRESS;Lhs=lnep;Rhs=ONE, compulso, arrival, concurr, seatshar, restday, ...
,constitu, netpayer, netrecei, lnnp, y1999, italcomp,uk, luxembou
, sweden, finland$
+-----------------------------------------------------------------------+
| Ordinary least squares regression Weighting variable = none |
| Dep. var. = LNEP Mean= .5234934857 , S.D.= .9388390734 |
| Model size: Observations = 64, Parameters = 17, Deg.Fr.= 47 |
| Residuals: Sum of squares= 1.907423027 , Std.Dev.= .20145 |
| Fit: R-squared= .965650, Adjusted R-squared = .95396 |
| Model test: F[ 16, 47] = 82.58, Prob value = .00000 |
| Diagnostic: Log-L = 21.6081, Restricted(b=0) Log-L = -86.2690 |
| LogAmemiyaPrCrt.= -2.969, Akaike Info. Crt.= -.144 |
| Autocorrel: Durbin-Watson Statistic = 2.18916, Rho = -.09458 |
+-----------------------------------------------------------------------+
+---------+--------------+----------------+--------+---------+----------+
|Variable | Coefficient | Standard Error |t-ratio |P[|T|>t] | Mean of X|
+---------+--------------+----------------+--------+---------+----------+
Constant -.9012058085 .16601088 -5.429 .0000
COMPULSO .7593860003 .13543804 5.607 .0000 .28125000
ARRIVAL .2502067365 .12835406 1.949 .0572 .93750000E-01
CONCURR .4234781520 .87978966E-01 4.813 .0000 .26562500
SEATSHAR .1288866651E-01 .13944681E-01 .924 .3601 8.2995483
RESTDAY .5719191422 .14075675 4.063 .0002 .68750000
LIST -.1698451917 .24699926 -.688 .4951 .43750000
CONSTITU .4685036901 .15468323 3.029 .0040 .31250000
NETPAYER -.2500600004 .89209895E-01 -2.803 .0073 .18750000
NETRECEI -.1365971110E-01 .15098265 -.090 .9283 .28125000
LNNP .4808670096 .90181401E-01 5.332 .0000 1.4906939
Y1999 -.2209147777 .72972363E-01 -3.027 .0040 .23437500
ITALCOMP -.7442312994 .21927429 -3.394 .0014 .46875000E-01
UK -.8367328093 .29839668 -2.804 .0073 .78125000E-01
LUXEMBOU .3312158931 .21472712 1.542 .1297 .78125000E-01
SWEDEN -.6963810649 .20787548 -3.350 .0016 .31250000E-01
FINLAND -.4884880921 .21175382 -2.307 .0255 .31250000E-01