-> *-------------------------------APP TABLE A: LOTS OF ALTERNATIVE MODELS! .
-> * --- Omit E Ger, Amer, Irish whose parents did not go to church.
-> SUBTITLE AppTbl A: No irrelig parents for US, NIre, EGers .
-> COMPUTE DUM=0.
-> IF ((RELIG4CC EQ 1) AND ((COUNTRY EQ 2)OR(COUNTRY EQ 4)OR(COUNTRY EQ 5)))
-> DUM=1.
-> TEMPORARY.
-> SELECT IF (DUM NE 1).
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0 .
-> vector m = m1 to m5 .
-> COMPUTE PRED= (P +DP23*ROW23+ DP45*ROW45) * M( RELIG4CC ) +
-> ((1-P)-DP23*ROW23- DP45*ROW45) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 16515 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
1 12695366.93 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 95.0000000
.100000000 -.10000000 -.10000000 -.10000000
.000000000 .000000000 .000000000 .000000000
1.1 10571686.72 .143819567 .207325163 .449250616 35.8652011
51.8117520 63.1415857 81.0135279 92.5186260
.170428999 -7.5053947 -5.9139909 -1.3630206
.042452607 -2.5931028 8.26246325 2.87061786
2 10571686.72 .143819567 .207325163 .449250616 35.8652011
51.8117520 63.1415857 81.0135279 92.5186260
.170428999 -7.5053947 -5.9139909 -1.3630206
.042452607 -2.5931028 8.26246325 2.87061786
2.1 10532714.14 -.03364191 .345032358 .634849925 36.3281895
52.6408286 65.6429439 81.1809107 91.1799600
.175170664 -7.5043430 -8.3883955 -1.3356520
-.04153551 -2.8417711 11.4484970 2.57875942
3 10532714.14 -.03364191 .345032358 .634849925 36.3281895
52.6408286 65.6429439 81.1809107 91.1799600
.175170664 -7.5043430 -8.3883955 -1.3356520
-.04153551 -2.8417711 11.4484970 2.57875942
3.1 10532336.87 -.03757091 .338215833 .637561353 36.6991837
52.5271024 65.8303176 81.0407685 90.9940874
.174465162 -7.5025536 -8.8016042 -1.3368758
-.05129041 -2.7975902 11.9269254 2.59426874
4 10532336.87 -.03757091 .338215833 .637561353 36.6991837
52.5271024 65.8303176 81.0407685 90.9940874
.174465162 -7.5025536 -8.8016042 -1.3368758
-.05129041 -2.7975902 11.9269254 2.59426874
4.1 10532327.75 -.03856446 .338025535 .638286996 36.7298692
52.5169356 65.8817742 81.0188544 90.9616707
.174385051 -7.5023394 -8.8701623 -1.3369057
-.05303392 -2.7921133 12.0093266 2.59299826
5 10532327.75 -.03856446 .338025535 .638286996 36.7298692
52.5169356 65.8817742 81.0188544 90.9616707
.174385051 -7.5023394 -8.8701623 -1.3369057
-.05303392 -2.7921133 12.0093266 2.59299826
5.1 10532327.50 -.03879542 .337988402 .638468898 36.7387005
52.5161615 65.8881389 81.0148767 90.9548565
.174369224 -7.5022956 -8.8846182 -1.3369354
-.05339214 -2.7908913 12.0261637 2.59273050
6 10532327.50 -.03879542 .337988402 .638468898 36.7387005
52.5161615 65.8881389 81.0148767 90.9548565
.174369224 -7.5022956 -8.8846182 -1.3369354
-.05339214 -2.7908913 12.0261637 2.59273050
6.1 10532327.49 -.03882434 .337981598 .638489244 36.7398654
52.5159410 65.8895422 81.0142709 90.9538767
.174367003 -7.5022895 -8.8867183 -1.3369362
-.05344586 -2.7907381 12.0286674 2.59269697
Run stopped after 12 model evaluations and 6 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 16 71158726.5053 4447420.40658
Residual 16499 10532327.4947 638.36157
Uncorrected Total 16515 81691054.0000
(Corrected Total) 16514 15548848.5807
R squared = 1 - Residual SS / Corrected SS = .32263
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P -.038824337 .034239367 -.105937187 .028288513
DP23 .337981598 .032187002 .274891605 .401071591
DP45 .638489244 .042988490 .554227170 .722751319
M1 36.739865426 1.066735097 34.648949665 38.830781187
M2 52.515940978 .661992617 51.218364100 53.813517856
M3 65.889542244 .748187772 64.423013572 67.356070915
M4 81.014270925 .816344057 79.414148590 82.614393261
M5 90.953876691 .782852960 89.419400516 92.488352866
BAGE .174367003 .012685373 .149502305 .199231701
BMALE -7.502289515 .395344103 -8.277206566 -6.727372464
BCOM -8.886718255 1.519530800 -11.86516240 -5.908274116
BEDUC -1.336936219 .076522709 -1.486928977 -1.186943461
BGNP -.053445862 .037096728 -.126159447 .019267724
BCATH -2.790738117 .542357127 -3.853816540 -1.727659694
BUSA 12.028667424 1.633537867 8.826757145 15.230577702
BNONCR 2.592696975 1.348886899 -.051266728 5.236660677
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.8620 -.7932 -.3039 -.0181 .1051 .2009
DP23 -.8620 1.0000 .6772 .0321 -.0055 -.1349 -.0740
DP45 -.7932 .6772 1.0000 .1665 -.0586 -.2095 -.2588
M1 -.3039 .0321 .1665 1.0000 .1329 .2256 .0375
M2 -.0181 -.0055 -.0586 .1329 1.0000 .3015 .2574
M3 .1051 -.1349 -.2095 .2256 .3015 1.0000 .3750
M4 .2009 -.0740 -.2588 .0375 .2574 .3750 1.0000
M5 .3910 -.1489 -.3599 -.2391 .0247 .1464 .3837
BAGE -.0366 .0811 .0641 .0184 .0124 -.0462 -.0567
BMALE .0142 -.0203 -.0081 -.1678 -.2948 -.2490 -.2305
BCOM .3922 -.1389 -.2193 -.5150 -.4735 -.3747 -.1184
BEDUC .0360 -.0118 -.0198 -.0360 -.0521 .0054 -.0105
BGNP .4121 -.1756 -.2103 -.5113 -.4634 -.4237 -.1634
BCATH -.2898 .2349 .2752 .0461 -.1335 -.3189 -.4994
BUSA -.4341 .1763 .2175 .4522 .3462 .2606 -.1655
BNONCR .0064 .0007 -.0080 -.0248 -.0583 -.0783 -.0885
Asymptotic Correlation Matrix of the Parameter Estimates (continued)
M5 BAGE BMALE BCOM BEDUC BGNP BCATH
P .3910 -.0366 .0142 .3922 .0360 .4121 -.2898
DP23 -.1489 .0811 -.0203 -.1389 -.0118 -.1756 .2349
DP45 -.3599 .0641 -.0081 -.2193 -.0198 -.2103 .2752
M1 -.2391 .0184 -.1678 -.5150 -.0360 -.5113 .0461
M2 .0247 .0124 -.2948 -.4735 -.0521 -.4634 -.1335
M3 .1464 -.0462 -.2490 -.3747 .0054 -.4237 -.3189
M4 .3837 -.0567 -.2305 -.1184 -.0105 -.1634 -.4994
M5 1.0000 -.0867 -.2253 .4103 .0079 .4119 -.6051
BAGE -.0867 1.0000 -.0104 .0080 .2816 -.0129 .1126
BMALE -.2253 -.0104 1.0000 .0100 -.0600 .0102 -.0108
BCOM .4103 .0080 .0100 1.0000 .0590 .9366 -.2185
BEDUC .0079 .2816 -.0600 .0590 1.0000 .0173 .0478
BGNP .4119 -.0129 .0102 .9366 .0173 1.0000 -.0969
BCATH -.6051 .1126 -.0108 -.2185 .0478 -.0969 1.0000
BUSA -.4642 -.0094 .0126 -.7743 -.0993 -.8263 .1954
BNONCR -.1289 .0446 -.0077 -.0614 -.0179 -.0309 .1909
BUSA BNONCR
P -.4341 .0064
DP23 .1763 .0007
DP45 .2175 -.0080
M1 .4522 -.0248
M2 .3462 -.0583
M3 .2606 -.0783
M4 -.1655 -.0885
M5 -.4642 -.1289
BAGE -.0094 .0446
BMALE .0126 -.0077
BCOM -.7743 -.0614
BEDUC -.0993 -.0179
BGNP -.8263 -.0309
BCATH .1954 .1909
BUSA 1.0000 .0173
BNONCR .0173 1.0000
Preceding task required 223.28 seconds elapsed.
->
-> * --- omit USA DUMMY.
-> SUBTITLE AppTbl A: OMIT USA Dummy.
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BNONCR=0 .
-> vector m = m1 to m5 .
-> COMPUTE PRED= (P +DP23*ROW23+ DP45*ROW45) * M( RELIG4CC ) +
-> ((1-P)-DP23*ROW23- DP45*ROW45) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BNONCR
1 13760859.38 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 95.0000000
.100000000 -.10000000 -.10000000 -.10000000
.000000000 .000000000 .000000000
1.1 11526584.92 .241404731 .138654216 .408243064 28.7803521
53.4051132 62.2957173 83.3738944 93.8323845
.165684403 -7.6347101 -7.2413987 -1.1822517
.104415637 -1.8971460 5.07040506
2 11526584.92 .241404731 .138654216 .408243064 28.7803521
53.4051132 62.2957173 83.3738944 93.8323845
.165684403 -7.6347101 -7.2413987 -1.1822517
.104415637 -1.8971460 5.07040506
2.1 11514065.03 .220563708 .169646202 .427929057 29.1945150
53.5872957 64.4541297 84.0209674 93.6541749
.174768393 -7.6398180 -7.2329345 -1.1427982
.083413996 -2.2269521 5.16951087
3 11514065.03 .220563708 .169646202 .427929057 29.1945150
53.5872957 64.4541297 84.0209674 93.6541749
.174768393 -7.6398180 -7.2329345 -1.1427982
.083413996 -2.2269521 5.16951087
3.1 11513898.18 .218110071 .165520901 .431650573 29.3806887
53.5871610 64.3661143 83.9862548 93.5441728
.174325870 -7.6409325 -7.3641416 -1.1424379
.081251320 -2.2200745 5.15528177
4 11513898.18 .218110071 .165520901 .431650573 29.3806887
53.5871610 64.3661143 83.9862548 93.5441728
.174325870 -7.6409325 -7.3641416 -1.1424379
.081251320 -2.2200745 5.15528177
4.1 11513888.25 .218384525 .165041227 .431222313 29.4154692
53.5464457 64.4271676 83.9877153 93.5472936
.174322118 -7.6409451 -7.3714710 -1.1417503
.080926220 -2.2248034 5.15655007
5 11513888.25 .218384525 .165041227 .431222313 29.4154692
53.5464457 64.4271676 83.9877153 93.5472936
.174322118 -7.6409451 -7.3714710 -1.1417503
.080926220 -2.2248034 5.15655007
5.1 11513887.55 .218245947 .164774621 .431399085 29.4289448
53.5421859 64.4278651 83.9847887 93.5416123
.174294499 -7.6410009 -7.3792088 -1.1416790
.080793930 -2.2246677 5.15570534
6 11513887.55 .218245947 .164774621 .431399085 29.4289448
53.5421859 64.4278651 83.9847887 93.5416123
.174294499 -7.6410009 -7.3792088 -1.1416790
.080793930 -2.2246677 5.15570534
6.1 11513887.50 .218249589 .164719402 .431389078 29.4323906
53.5393619 64.4315187 83.9845987 93.5412336
.174291514 -7.6410074 -7.3804207 -1.1416318
.080761601 -2.2249280 5.15570033
Run stopped after 12 model evaluations and 6 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 15 72334450.5035 4822296.70024
Residual 17620 11513887.4965 653.45559
Uncorrected Total 17635 83848338.0000
(Corrected Total) 17634 17892207.2291
R squared = 1 - Residual SS / Corrected SS = .35649
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P .218249589 .018839184 .181322930 .255176248
DP23 .164719402 .021797976 .121993219 .207445585
DP45 .431389078 .031040002 .370547612 .492230544
M1 29.432390567 .974631032 27.522017617 31.342763517
M2 53.539361920 .600041366 52.363221662 54.715502178
M3 64.431518700 .750193950 62.961064567 65.901972833
M4 83.984598690 .840012921 82.338090515 85.631106865
M5 93.541233645 .700213721 92.168745690 94.913721600
BAGE .174291514 .012435257 .149917184 .198665844
BMALE -7.641007429 .387049586 -8.399662793 -6.882352065
BCOM -7.380420725 .889590661 -9.124106160 -5.636735290
BEDUC -1.141631784 .074438207 -1.287538012 -.995725557
BGNP .080761601 .021343059 .038927101 .122596101
BCATH -2.224928018 .524363173 -3.252731554 -1.197124482
BNONCR 5.155700328 1.343058312 2.523173573 7.788227084
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.7876 -.6865 -.0073 .0134 .1660 .0428
DP23 -.7876 1.0000 .4850 -.2676 .1008 -.1242 .0391
DP45 -.6865 .4850 1.0000 -.0051 -.0285 -.2049 -.1783
M1 -.0073 -.2676 -.0051 1.0000 -.0235 .1837 .2088
M2 .0134 .1008 -.0285 -.0235 1.0000 .1819 .2876
M3 .1660 -.1242 -.2049 .1837 .1819 1.0000 .4218
M4 .0428 .0391 -.1783 .2088 .2876 .4218 1.0000
M5 .2205 -.0231 -.2933 -.0672 .2080 .2548 .2796
BAGE -.0013 .0444 .0437 .0594 -.0022 -.0429 -.0589
BMALE .0160 -.0128 -.0038 -.1984 -.3167 -.2509 -.2148
BCOM .3153 -.1186 -.2087 -.4920 -.2726 -.3026 -.4142
BEDUC -.0308 .0149 .0139 .0334 -.0419 .0432 -.0331
BGNP .2409 -.1051 -.1367 -.4226 -.2562 -.4014 -.5607
BCATH -.2323 .2062 .2263 -.0191 -.2500 -.3981 -.4925
BNONCR -.0117 .0250 .0063 -.0109 -.1004 -.0925 -.0982
Asymptotic Correlation Matrix of the Parameter Estimates (continued)
M5 BAGE BMALE BCOM BEDUC BGNP BCATH
P .2205 -.0013 .0160 .3153 -.0308 .2409 -.2323
DP23 -.0231 .0444 -.0128 -.1186 .0149 -.1051 .2062
DP45 -.2933 .0437 -.0038 -.2087 .0139 -.1367 .2263
M1 -.0672 .0594 -.1984 -.4920 .0334 -.4226 -.0191
M2 .2080 -.0022 -.3167 -.2726 -.0419 -.2562 -.2500
M3 .2548 -.0429 -.2509 -.3026 .0432 -.4014 -.3981
M4 .2796 -.0589 -.2148 -.4142 -.0331 -.5607 -.4925
M5 1.0000 -.1026 -.2388 .1316 -.0441 .1153 -.5710
BAGE -.1026 1.0000 -.0111 -.0101 .2807 -.0392 .1167
BMALE -.2388 -.0111 1.0000 .0303 -.0621 .0338 -.0111
BCOM .1316 -.0101 .0303 1.0000 -.0072 .8379 -.0476
BEDUC -.0441 .2807 -.0621 -.0072 1.0000 -.1021 .0579
BGNP .1153 -.0392 .0338 .8379 -.1021 1.0000 .1628
BCATH -.5710 .1167 -.0111 -.0476 .0579 .1628 1.0000
BNONCR -.1330 .0471 -.0048 -.0382 -.0210 -.0041 .1818
BNONCR
P -.0117
DP23 .0250
DP45 .0063
M1 -.0109
M2 -.1004
M3 -.0925
M4 -.0982
M5 -.1330
BAGE .0471
BMALE -.0048
BCOM -.0382
BEDUC -.0210
BGNP -.0041
BCATH .1818
BNONCR 1.0000
Preceding task required 207.34 seconds elapsed.
->
->
-> * ^-------- app table A: runs with different country groupings!
-> Careful to restore the "usual" var afterwards .
-> *1st vsn; belief in God.
-> RECODE GodCC (1=1)(ELSE=0) INTO Row1 .
-> RECODE GodCC (2,3=1)(ELSE=0) INTO Row23 .
-> RECODE GodCC (4,5=1)(ELSE=0) INTO Row45 .
-> SUBTITLE App tbl A: rows based on belief in God only .
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0 .
-> vector m = m1 to m5 .
-> COMPUTE PRED= (P +DP23*ROW23+ DP45*ROW45 ) * M( godcc ) +
-> ((1-P)-DP23*ROW23- DP45*ROW45 ) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
1 13204807.06 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 95.0000000
.100000000 -.10000000 -.10000000 -.10000000
.000000000 .000000000 .000000000 .000000000
1.1 11335265.12 .285401274 .062248857 .293295812 30.2506126
56.8638283 63.7082645 81.0879079 89.9370541
.169864414 -7.7548799 -11.861882 -1.1827257
-.10640386 -.16649102 13.2169723 7.01667946
2 11335265.12 .285401274 .062248857 .293295812 30.2506126
56.8638283 63.7082645 81.0879079 89.9370541
.169864414 -7.7548799 -11.861882 -1.1827257
-.10640386 -.16649102 13.2169723 7.01667946
2.1 11309691.05 .271398437 .104701661 .306331296 31.6439630
56.4549167 66.7016228 83.0825061 91.0749838
.179845785 -7.7206609 -12.012726 -1.1434540
-.12354665 -1.2376748 12.3775807 6.81385478
3 11309691.05 .271398437 .104701661 .306331296 31.6439630
56.4549167 66.7016228 83.0825061 91.0749838
.179845785 -7.7206609 -12.012726 -1.1434540
-.12354665 -1.2376748 12.3775807 6.81385478
3.1 11308028.12 .264634188 .081196932 .313520141 32.1926438
56.8012025 66.4555863 82.7167639 90.6215209
.178300083 -7.7207433 -12.725530 -1.1522761
-.14004087 -1.1624880 13.3266768 6.69910436
4 11308028.12 .264634188 .081196932 .313520141 32.1926438
56.8012025 66.4555863 82.7167639 90.6215209
.178300083 -7.7207433 -12.725530 -1.1522761
-.14004087 -1.1624880 13.3266768 6.69910436
4.1 11307698.98 .266643217 .080613723 .309969050 32.3860557
56.4952170 66.7296692 82.8165228 90.7524712
.178392031 -7.7163988 -12.702219 -1.1500329
-.13929826 -1.2278693 13.2177737 6.68307475
5 11307698.98 .266643217 .080613723 .309969050 32.3860557
56.4952170 66.7296692 82.8165228 90.7524712
.178392031 -7.7163988 -12.702219 -1.1500329
-.13929826 -1.2278693 13.2177737 6.68307475
5.1 11307624.13 .265175409 .075772227 .311319034 32.5131553
56.5272067 66.7145846 82.7414056 90.6641270
.178027355 -7.7158846 -12.854625 -1.1517919
-.14277086 -1.2160195 13.4155514 6.65670299
6 11307624.13 .265175409 .075772227 .311319034 32.5131553
56.5272067 66.7145846 82.7414056 90.6641270
.178027355 -7.7158846 -12.854625 -1.1517919
-.14277086 -1.2160195 13.4155514 6.65670299
6.1 11307606.57 .265452253 .075118993 .310720337 32.5694683
56.4641622 66.7690408 82.7523061 90.6808692
.177998035 -7.7148953 -12.866879 -1.1515493
-.14298957 -1.2276279 13.4154029 6.65045336
7 11307606.57 .265452253 .075118993 .310720337 32.5694683
56.4641622 66.7690408 82.7523061 90.6808692
.177998035 -7.7148953 -12.866879 -1.1515493
-.14298957 -1.2276279 13.4154029 6.65045336
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
7.1 11307602.28 .265163645 .074018449 .310951450 32.6024057
56.4641989 66.7714309 82.7372396 90.6636200
.177917040 -7.7146808 -12.900671 -1.1519007
-.14375208 -1.2261993 13.4576538 6.64421707
8 11307602.28 .265163645 .074018449 .310951450 32.6024057
56.4641989 66.7714309 82.7372396 90.6636200
.177917040 -7.7146808 -12.900671 -1.1519007
-.14375208 -1.2261993 13.4576538 6.64421707
8.1 11307601.20 .265192800 .073764985 .310848303 32.6179297
56.4507345 66.7832431 82.7379016 90.6653131
.177902204 -7.7144473 -12.906881 -1.1518870
-.14387951 -1.2284848 13.4621398 6.64223592
9 11307601.20 .265192800 .073764985 .310848303 32.6179297
56.4507345 66.7832431 82.7379016 90.6653131
.177902204 -7.7144473 -12.906881 -1.1518870
-.14387951 -1.2284848 13.4621398 6.64223592
9.1 11307600.92 .265133960 .073503730 .310887375 32.6265663
56.4493536 66.7849639 82.7347404 90.6617926
.177883408 -7.7143774 -12.914739 -1.1519608
-.14405548 -1.2284078 13.4716323 6.64070298
10 11307600.92 .265133960 .073503730 .310887375 32.6265663
56.4493536 66.7849639 82.7347404 90.6617926
.177883408 -7.7143774 -12.914739 -1.1519608
-.14405548 -1.2284078 13.4716323 6.64070298
10.1 11307600.85 .265134133 .073422709 .310869381 32.6307780
56.4463363 66.7876631 82.7345520 90.6617866
.177878312 -7.7143203 -12.916882 -1.1519655
-.14410099 -1.2288857 13.4735772 6.64012229
Run stopped after 20 model evaluations and 10 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 16 72540737.1503 4533796.07189
Residual 17619 11307600.8497 641.78449
Uncorrected Total 17635 83848338.0000
(Corrected Total) 17634 17892207.2291
R squared = 1 - Residual SS / Corrected SS = .36802
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P .265134133 .012399498 .240829893 .289438373
DP23 .073422709 .019945969 .034326641 .112518777
DP45 .310869381 .029750032 .252556384 .369182378
M1 32.630777981 .909060570 30.848929597 34.412626365
M2 56.446336251 .633970729 55.203691090 57.688981412
M3 66.787663102 .749315235 65.318931331 68.256394873
M4 82.734552012 .815296123 81.136491194 84.332612831
M5 90.661786559 .704977311 89.279961492 92.043611625
BAGE .177878312 .012325410 .153719291 .202037332
BMALE -7.714320332 .383718201 -8.466445855 -6.962194810
BCOM -12.91688241 1.148372901 -15.16780656 -10.66595825
BEDUC -1.151965477 .074241761 -1.297486652 -1.006444302
BGNP -.144100991 .029215627 -.201366502 -.086835479
BCATH -1.228885734 .507259439 -2.223164268 -.234607200
BUSA 13.473577249 1.389049340 10.750903532 16.196250966
BNONCR 6.640122294 1.334464497 4.024440252 9.255804336
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.3972 -.4626 -.0744 -.2145 -.0505 .1116
DP23 -.3972 1.0000 .1819 -.3846 .0928 .0636 .1779
DP45 -.4626 .1819 1.0000 -.0830 -.0091 -.1529 -.1749
M1 -.0744 -.3846 -.0830 1.0000 .2252 .2565 .0989
M2 -.2145 .0928 -.0091 .2252 1.0000 .2496 .2007
M3 -.0505 .0636 -.1529 .2565 .2496 1.0000 .3640
M4 .1116 .1779 -.1749 .0989 .2007 .3640 1.0000
M5 .2170 .1842 -.1649 -.0998 .0240 .1938 .3793
BAGE .0490 .0479 .0255 .0356 .0042 -.0355 -.0483
BMALE -.0184 .0072 .0134 -.1925 -.2987 -.2412 -.2215
BCOM .4280 .0657 -.0454 -.5984 -.4602 -.4100 -.1640
BEDUC .0679 .0159 -.0143 -.0640 -.0534 .0030 -.0084
BGNP .3195 .0991 .0395 -.5311 -.4782 -.4643 -.2210
BCATH .0790 -.1135 .0326 -.0675 -.1685 -.3804 -.5155
BUSA -.3238 -.1574 -.0718 .4210 .3475 .2559 -.1764
BNONCR .0865 -.0039 -.0370 -.0721 -.0815 -.1043 -.0892
M5 BAGE BMALE BCOM BEDUC BGNP BCATH
P .2170 .0490 -.0184 .4280 .0679 .3195 .0790
DP23 .1842 .0479 .0072 .0657 .0159 .0991 -.1135
DP45 -.1649 .0255 .0134 -.0454 -.0143 .0395 .0326
M1 -.0998 .0356 -.1925 -.5984 -.0640 -.5311 -.0675
M2 .0240 .0042 -.2987 -.4602 -.0534 -.4782 -.1685
M3 .1938 -.0355 -.2412 -.4100 .0030 -.4643 -.3804
M4 .3793 -.0483 -.2215 -.1640 -.0084 -.2210 -.5155
M5 1.0000 -.0887 -.2445 .2358 .0150 .2419 -.5557
BAGE -.0887 1.0000 -.0109 .0100 .2805 -.0133 .1061
BMALE -.2445 -.0109 1.0000 -.0005 -.0640 .0030 -.0102
BCOM .2358 .0100 -.0005 1.0000 .1054 .8979 .0289
BEDUC .0150 .2805 -.0640 .1054 1.0000 .0390 .0479
BGNP .2419 -.0133 .0030 .8979 .0390 1.0000 .1548
BCATH -.5557 .1061 -.0102 .0289 .0479 .1548 1.0000
BUSA -.3210 -.0160 .0213 -.6771 -.1284 -.7502 .0126
BNONCR -.1048 .0469 -.0066 .0279 -.0152 .0440 .1812
Asymptotic Correlation Matrix of the Parameter Estimates (continued)
BUSA BNONCR
P -.3238 .0865
DP23 -.1574 -.0039
DP45 -.0718 -.0370
M1 .4210 -.0721
M2 .3475 -.0815
M3 .2559 -.1043
M4 -.1764 -.0892
M5 -.3210 -.1048
BAGE -.0160 .0469
BMALE .0213 -.0066
BCOM -.6771 .0279
BEDUC -.1284 -.0152
BGNP -.7502 .0440
BCATH .0126 .1812
BUSA 1.0000 -.0453
BNONCR -.0453 1.0000
Preceding task required 386.01 seconds elapsed.
->
-> *2nd vsn; Pnts chAtt (?careful about this one: it took more than 25
-> iterations to converge, compared to 6 to 10 for others, but the
-> parameters are fine and N Dirk is not worried!)
-> .
-> RECODE PChAttCC (1=1)(ELSE=0) INTO Row1 .
-> RECODE PChAttCC (4,5=1)(ELSE=0) INTO Row45 .
-> RECODE PChAttCC (2,3=1)(ELSE=0) INTO Row23 .
-> SUBTITLE App tbl A: rows based on belief in God only .
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0 .
-> vector m = m1 to m5 .
-> COMPUTE PRED= (P +DP23*ROW23+ DP45*ROW45 ) * M( PChAttCC ) +
-> ((1-P)-DP23*ROW23- DP45*ROW45 ) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
1 15777242.87 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 95.0000000
.100000000 -.10000000 -.10000000 -.10000000
.000000000 .000000000 .000000000 .000000000
1.1 11766613.82 .147129013 .123231969 .291007623 40.7123370
59.2663646 61.8746124 84.6457877 83.0007742
.170046839 -7.8051265 -24.770628 -1.2605080
-.43154580 1.17225206 35.8828919 6.98989877
2 11766613.82 .147129013 .123231969 .291007623 40.7123370
59.2663646 61.8746124 84.6457877 83.0007742
.170046839 -7.8051265 -24.770628 -1.2605080
-.43154580 1.17225206 35.8828919 6.98989877
2.1 11645439.33 .079651070 .316733025 .540011540 34.2813507
56.5596880 65.4448886 85.8995697 89.5269988
.178635477 -7.5695239 -18.961792 -1.2891787
-.21457521 -1.5430451 24.6544229 4.80432046
3 11645439.33 .079651070 .316733025 .540011540 34.2813507
56.5596880 65.4448886 85.8995697 89.5269988
.178635477 -7.5695239 -18.961792 -1.2891787
-.21457521 -1.5430451 24.6544229 4.80432046
3.1 11632016.34 -.02796492 .267151893 .534291500 40.5573132
59.0151851 64.7391835 84.9894650 83.9911881
.180289657 -7.6511643 -26.415846 -1.3007709
-.41958828 -.16064263 31.5724004 5.58092813
4 11632016.34 -.02796492 .267151893 .534291500 40.5573132
59.0151851 64.7391835 84.9894650 83.9911881
.180289657 -7.6511643 -26.415846 -1.3007709
-.41958828 -.16064263 31.5724004 5.58092813
4.1 11618437.19 .045777247 .265028056 .558931199 37.1233428
56.7830914 66.1985390 84.9487854 87.6100311
.178149350 -7.5829921 -22.347567 -1.2933189
-.30151548 -1.1443313 27.0201970 4.88903830
5 11618437.19 .045777247 .265028056 .558931199 37.1233428
56.7830914 66.1985390 84.9487854 87.6100311
.178149350 -7.5829921 -22.347567 -1.2933189
-.30151548 -1.1443313 27.0201970 4.88903830
5.1 11613314.89 -.04702299 .252170541 .562464087 40.9758062
58.2803329 65.7486086 84.2740690 84.3002303
.178902085 -7.6371426 -26.802908 -1.2997175
-.42599385 -.25960274 31.3366702 5.40408693
6 11613314.89 -.04702299 .252170541 .562464087 40.9758062
58.2803329 65.7486086 84.2740690 84.3002303
.178902085 -7.6371426 -26.802908 -1.2997175
-.42599385 -.25960274 31.3366702 5.40408693
6.1 11608661.11 -.00081964 .253999480 .583903154 39.0475598
56.8779591 66.7280752 84.1642217 86.4319501
.177418672 -7.5940816 -24.449125 -1.2950897
-.35761223 -.84623053 28.6834528 4.98207932
7 11608661.11 -.00081964 .253999480 .583903154 39.0475598
56.8779591 66.7280752 84.1642217 86.4319501
.177418672 -7.5940816 -24.449125 -1.2950897
-.35761223 -.84623053 28.6834528 4.98207932
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
7.1 11606525.68 -.06581289 .245589989 .583980788 41.4767805
57.8571037 66.3914296 83.7041296 84.2945205
.177799755 -7.6310070 -27.278538 -1.2988339
-.43747673 -.25487782 31.5054032 5.33221199
8 11606525.68 -.06581289 .245589989 .583980788 41.4767805
57.8571037 66.3914296 83.7041296 84.2945205
.177799755 -7.6310070 -27.278538 -1.2988339
-.43747673 -.25487782 31.5054032 5.33221199
8.1 11604806.51 -.03197918 .246222601 .599889156 40.2652204
56.9449366 67.0411620 83.6123478 85.6546683
.176853269 -7.6025813 -25.771668 -1.2957834
-.39374059 -.63180915 29.8131268 5.06074314
9 11604806.51 -.03197918 .246222601 .599889156 40.2652204
56.9449366 67.0411620 83.6123478 85.6546683
.176853269 -7.6025813 -25.771668 -1.2957834
-.39374059 -.63180915 29.8131268 5.06074314
9.1 11603914.14 -.07755973 .241073122 .598072567 41.8287268
57.6125972 66.7806898 83.3206256 84.2383837
.177109599 -7.6281853 -27.610893 -1.2981402
-.44603496 -.23136836 31.6881342 5.30225940
10 11603914.14 -.07755973 .241073122 .598072567 41.8287268
57.6125972 66.7806898 83.3206256 84.2383837
.177109599 -7.6281853 -27.610893 -1.2981402
-.44603496 -.23136836 31.6881342 5.30225940
10.1 11603240.56 -.05203056 .241464514 .609339210 41.0001135
56.9984802 67.2134995 83.2647317 85.1656370
.176502175 -7.6086054 -26.571465 -1.2960611
-.41592946 -.48959183 30.5311094 5.11795088
11 11603240.56 -.05203056 .241464514 .609339210 41.0001135
56.9984802 67.2134995 83.2647317 85.1656370
.176502175 -7.6086054 -26.571465 -1.2960611
-.41592946 -.48959183 30.5311094 5.11795088
11.1 11602589.41 -.07114875 .234682791 .595993868 41.6882813
57.3609674 66.9939101 83.2079334 84.4571130
.176466111 -7.6233359 -27.304635 -1.2971725
-.43741024 -.31116906 31.3034451 5.23483437
12 11602589.41 -.07114875 .234682791 .595993868 41.6882813
57.3609674 66.9939101 83.2079334 84.4571130
.176466111 -7.6233359 -27.304635 -1.2971725
-.43741024 -.31116906 31.3034451 5.23483437
12.1 11602349.87 -.06590524 .239075082 .611785888 41.4523845
57.1176834 67.2284565 83.0904657 84.8242673
.176408830 -7.6143919 -27.082114 -1.2964030
-.43038033 -.38653609 31.0253662 5.16855195
13 11602349.87 -.06590524 .239075082 .611785888 41.4523845
57.1176834 67.2284565 83.0904657 84.8242673
.176408830 -7.6143919 -27.082114 -1.2964030
-.43038033 -.38653609 31.0253662 5.16855195
13.1 11602231.96 -.08245849 .237306679 .610355292 41.9894746
57.3326141 67.1558687 82.9920050 84.3301118
.176465327 -7.6232718 -27.718407 -1.2971783
-.44846680 -.24589439 31.6746565 5.25375610
14 11602231.96 -.08245849 .237306679 .610355292 41.9894746
57.3326141 67.1558687 82.9920050 84.3301118
.176465327 -7.6232718 -27.718407 -1.2971783
-.44846680 -.24589439 31.6746565 5.25375610
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
14.1 11602154.11 -.07375865 .237187856 .615639657 41.7325758
57.1251986 67.3051737 82.9544937 84.6301073
.176255227 -7.6167046 -27.386180 -1.2964414
-.43887455 -.32905374 31.3057675 5.19312442
15 11602154.11 -.07375865 .237187856 .615639657 41.7325758
57.1251986 67.3051737 82.9544937 84.6301073
.176255227 -7.6167046 -27.386180 -1.2964414
-.43887455 -.32905374 31.3057675 5.19312442
15.1 11602106.37 -.08527874 .236101054 .614430853 42.0905909
57.2862448 67.2367328 82.8922399 84.2933798
.176315550 -7.6230458 -27.813402 -1.2969785
-.45109670 -.23214112 31.7502426 5.25293551
16 11602106.37 -.08527874 .236101054 .614430853 42.0905909
57.2862448 67.2367328 82.8922399 84.2933798
.176315550 -7.6230458 -27.813402 -1.2969785
-.45109670 -.23214112 31.7502426 5.25293551
16.1 11602073.77 -.07834490 .236169044 .617537395 41.8887464
57.1380930 67.3393933 82.8786315 84.5195210
.176176483 -7.6181923 -27.557019 -1.2964685
-.44369114 -.29551956 31.4677385 5.20807061
17 11602073.77 -.07834490 .236169044 .617537395 41.8887464
57.1380930 67.3393933 82.8786315 84.5195210
.176176483 -7.6181923 -27.557019 -1.2964685
-.44369114 -.29551956 31.4677385 5.20807061
17.1 11602032.53 -.08243663 .234421638 .613179424 42.0334336
57.2244300 67.2802662 82.8785321 84.3580715
.176162139 -7.6217498 -27.708098 -1.2967312
-.44817622 -.25652594 31.6307712 5.23503105
18 11602032.53 -.08243663 .234421638 .613179424 42.0334336
57.2244300 67.2802662 82.8785321 84.3580715
.176162139 -7.6217498 -27.708098 -1.2967312
-.44817622 -.25652594 31.6307712 5.23503105
18.1 11602019.78 -.08142998 .235733341 .617696749 41.9840396
57.1731398 67.3304000 82.8480040 84.4399529
.176169122 -7.6196797 -27.666891 -1.2965589
-.44684880 -.27138902 31.5806613 5.22145155
19 11602019.78 -.08142998 .235733341 .617696749 41.9840396
57.1731398 67.3304000 82.8480040 84.4399529
.176169122 -7.6196797 -27.666891 -1.2965589
-.44684880 -.27138902 31.5806613 5.22145155
19.1 11602013.95 -.08528242 .235386959 .617116590 42.1036805
57.2228793 67.3125450 82.8292413 84.3266333
.176185349 -7.6217495 -27.810281 -1.2967417
-.45092647 -.23912543 31.7278342 5.24140575
20 11602013.95 -.08528242 .235386959 .617116590 42.1036805
57.2228793 67.3125450 82.8292413 84.3266333
.176185349 -7.6217495 -27.810281 -1.2967417
-.45092647 -.23912543 31.7278342 5.24140575
20.1 11602008.51 -.08362955 .235536231 .618864648 42.0539440
57.1788111 67.3462360 82.8166677 84.3892453
.176148682 -7.6203285 -27.747893 -1.2965839
-.44910725 -.25540063 31.6579272 5.22898628
21 11602008.51 -.08362955 .235536231 .618864648 42.0539440
57.1788111 67.3462360 82.8166677 84.3892453
.176148682 -7.6203285 -27.747893 -1.2965839
-.44910725 -.25540063 31.6579272 5.22898628
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
21.1 11602005.65 -.08526363 .234979999 .617717787 42.1104819
57.2064674 67.3312606 82.8118587 84.3304241
.176143530 -7.6215011 -27.809330 -1.2966734
-.45090040 -.24048350 31.7223918 5.23882267
22 11602005.65 -.08526363 .234979999 .617717787 42.1104819
57.2064674 67.3312606 82.8118587 84.3304241
.176143530 -7.6215011 -27.809330 -1.2966734
-.45090040 -.24048350 31.7223918 5.23882267
22.1 11602004.50 -.08429864 .235152200 .618737629 42.0800969
57.1826927 67.3490973 82.8056933 84.3680646
.176127924 -7.6206653 -27.773137 -1.2965879
-.44984344 -.24994379 31.6824282 5.23170358
23 11602004.50 -.08429864 .235152200 .618737629 42.0800969
57.1826927 67.3490973 82.8056933 84.3680646
.176127924 -7.6206653 -27.773137 -1.2965879
-.44984344 -.24994379 31.6824282 5.23170358
23.1 11602003.25 -.08516220 .234866004 .617989302 42.1097448
57.1985839 67.3396935 82.8048250 84.3361175
.176126570 -7.6213252 -27.805567 -1.2966409
-.45079080 -.24192826 31.7166814 5.23713035
24 11602003.25 -.08516220 .234866004 .617989302 42.1097448
57.1985839 67.3396935 82.8048250 84.3361175
.176126570 -7.6213252 -27.805567 -1.2966409
-.45079080 -.24192826 31.7166814 5.23713035
24.1 11602002.83 -.08486188 .235064259 .618791937 42.0980075
57.1876042 67.3492431 82.7995443 84.3534067
.176124209 -7.6209145 -27.793605 -1.2966019
-.45042726 -.24555304 31.7030063 5.23407492
25 11602002.83 -.08486188 .235064259 .618791937 42.0980075
57.1876042 67.3492431 82.7995443 84.3534067
.176124209 -7.6209145 -27.793605 -1.2966019
-.45042726 -.24555304 31.7030063 5.23407492
25.1 11602002.61 -.08562861 .234999293 .618663928 42.1214916
57.1977317 67.3453523 82.7960288 84.3309615
.176127859 -7.6213300 -27.821856 -1.2966386
-.45123179 -.23914898 31.7321483 5.23806400
26 11602002.61 -.08562861 .234999293 .618663928 42.1214916
57.1977317 67.3453523 82.7960288 84.3309615
.176127859 -7.6213300 -27.821856 -1.2966386
-.45123179 -.23914898 31.7321483 5.23806400
26.1 11602002.43 -.08523956 .235019504 .618971500 42.1101159
57.1885513 67.3519965 82.7941160 84.3445276
.176119992 -7.6210295 -27.807456 -1.2966057
-.45081449 -.24279512 31.7162246 5.23537836
27 11602002.43 -.08523956 .235019504 .618971500 42.1101159
57.1885513 67.3519965 82.7941160 84.3445276
.176119992 -7.6210295 -27.807456 -1.2966057
-.45081449 -.24279512 31.7162246 5.23537836
27.1 11602002.32 -.08563750 .234930249 .618783685 42.1230664
57.1949891 67.3486413 82.7927789 84.3313840
.176120732 -7.6212893 -27.822214 -1.2966269
-.45124212 -.23928489 31.7317623 5.23766712
28 11602002.32 -.08563750 .234930249 .618783685 42.1230664
57.1949891 67.3486413 82.7927789 84.3313840
.176120732 -7.6212893 -27.822214 -1.2966269
-.45124212 -.23928489 31.7317623 5.23766712
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
28.1 11602002.24 -.08545290 .234980246 .619026834 42.1170426
57.1899464 67.3526148 82.7913110 84.3391133
.176117937 -7.6211134 -27.815267 -1.2966094
-.45103682 -.24116138 31.7239722 5.23621934
29 11602002.24 -.08545290 .234980246 .619026834 42.1170426
57.1899464 67.3526148 82.7913110 84.3391133
.176117937 -7.6211134 -27.815267 -1.2966094
-.45103682 -.24116138 31.7239722 5.23621934
29.1 11602002.20 -.08563357 .234914802 .618868689 42.1233206
57.1932260 67.3506695 82.7910844 84.3323374
.176117370 -7.6212524 -27.822029 -1.2966202
-.45123478 -.23948135 31.7311073 5.23735390
30 11602002.20 -.08563357 .234914802 .618868689 42.1233206
57.1932260 67.3506695 82.7910844 84.3323374
.176117370 -7.6212524 -27.822029 -1.2966202
-.45123478 -.23948135 31.7311073 5.23735390
30.1 11602002.19 -.08551620 .234939322 .618993284 42.1195644
57.1904720 67.3526675 82.7904398 84.3369072
.176115863 -7.6211523 -27.817623 -1.2966102
-.45110627 -.24062099 31.7262974 5.23650818
Run stopped after 60 model evaluations and 30 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 16 72246335.8141 4515395.98838
Residual 17619 11602002.1859 658.49380
Uncorrected Total 17635 83848338.0000
(Corrected Total) 17634 17892207.2291
R squared = 1 - Residual SS / Corrected SS = .35156
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P -.085516197 .038554896 -.161087596 -.009944799
DP23 .234939322 .030710633 .174743452 .295135193
DP45 .618993284 .057035179 .507198709 .730787860
M1 42.119564402 1.059426175 40.042984600 44.196144203
M2 57.190472000 .650795207 55.914849201 58.466094798
M3 67.352667504 .624697003 66.128199760 68.577135247
M4 82.790439777 .737959172 81.343967010 84.236912545
M5 84.336907154 .897913886 82.576907370 86.096906938
BAGE .176115863 .012487637 .151638864 .200592863
BMALE -7.621152299 .388732252 -8.383105857 -6.859198742
BCOM -27.81762291 1.291606867 -30.34929977 -25.28594605
BEDUC -1.296610209 .074866919 -1.443356756 -1.149863663
BGNP -.451106270 .035175832 -.520054371 -.382158169
BCATH -.240620991 .555302507 -1.329068677 .847826696
BUSA 31.726297377 1.466207386 28.852386278 34.600208475
BNONCR 5.236508177 1.352684498 2.585113137 7.887903218
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.6322 -.6449 -.5962 -.1790 .1303 .4350
DP23 -.6322 1.0000 .4074 .0280 -.0613 -.1025 -.0067
DP45 -.6449 .4074 1.0000 .3195 .0310 -.1956 -.3923
M1 -.5962 .0280 .3195 1.0000 .3915 .1502 -.2574
M2 -.1790 -.0613 .0310 .3915 1.0000 .3079 .0931
M3 .1303 -.1025 -.1956 .1502 .3079 1.0000 .3887
M4 .4350 -.0067 -.3923 -.2574 .0931 .3887 1.0000
M5 .5644 -.0431 -.3587 -.4364 -.0496 .2870 .6354
BAGE -.0323 .0454 .0534 .0545 .0294 -.0560 -.0778
BMALE .0220 -.0028 -.0096 -.1913 -.3043 -.2885 -.2289
BCOM .6740 -.2240 -.3405 -.7161 -.4791 -.2636 .1916
BEDUC -.0029 .0033 .0110 -.0117 -.0257 -.0280 -.0340
BGNP .6717 -.1696 -.3510 -.7167 -.5010 -.2284 .2393
BCATH -.4286 .2110 .2682 .2154 -.0960 -.3746 -.6092
BUSA -.6173 .1873 .3576 .5820 .3707 .0435 -.3207
BNONCR -.0703 .0177 .0453 .0297 -.0536 -.1231 -.1434
M5 BAGE BMALE BCOM BEDUC BGNP BCATH
P .5644 -.0323 .0220 .6740 -.0029 .6717 -.4286
DP23 -.0431 .0454 -.0028 -.2240 .0033 -.1696 .2110
DP45 -.3587 .0534 -.0096 -.3405 .0110 -.3510 .2682
M1 -.4364 .0545 -.1913 -.7161 -.0117 -.7167 .2154
M2 -.0496 .0294 -.3043 -.4791 -.0257 -.5010 -.0960
M3 .2870 -.0560 -.2885 -.2636 -.0280 -.2284 -.3746
M4 .6354 -.0778 -.2289 .1916 -.0340 .2393 -.6092
M5 1.0000 -.1016 -.1745 .4476 -.0154 .4752 -.6690
BAGE -.1016 1.0000 -.0118 -.0189 .2794 -.0381 .1153
BMALE -.1745 -.0118 1.0000 .0242 -.0633 .0246 -.0194
BCOM .4476 -.0189 .0242 1.0000 .0502 .9302 -.2822
BEDUC -.0154 .2794 -.0633 .0502 1.0000 -.0011 .0535
BGNP .4752 -.0381 .0246 .9302 -.0011 1.0000 -.1955
BCATH -.6690 .1153 -.0194 -.2822 .0535 -.1955 1.0000
BUSA -.4976 .0207 .0000 -.7566 -.0818 -.8352 .2391
BNONCR -.1724 .0481 -.0073 -.0726 -.0207 -.0523 .2009
BUSA BNONCR
P -.6173 -.0703
DP23 .1873 .0177
DP45 .3576 .0453
M1 .5820 .0297
M2 .3707 -.0536
M3 .0435 -.1231
M4 -.3207 -.1434
M5 -.4976 -.1724
BAGE .0207 .0481
BMALE .0000 -.0073
BCOM -.7566 -.0726
BEDUC -.0818 -.0207
BGNP -.8352 -.0523
BCATH .2391 .2009
BUSA 1.0000 .0402
BNONCR .0402 1.0000
Preceding task required 1426.63 seconds elapsed.
-> *3d: restore original rows.
-> RECODE RELIG4CC (1=1)(ELSE=0) INTO Row1 .
-> RECODE RELIG4CC (4,5=1)(ELSE=0) INTO Row45 .
-> RECODE RELIG4CC (2,3=1)(ELSE=0) INTO Row23 .
->
-> * --- preferred model, equal weighting of nations.
-> weight by EqualWt .
-> SUBTITLE AppTblA: EQUAL WTS, Preferred MODEL C .
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0 .
-> vector m = m1 to m5 .
-> COMPUTE PRED= (P +DP23*ROW23+ DP45*ROW45) * M( RELIG4CC ) +
-> ((1-P)-DP23*ROW23- DP45*ROW45) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
1 13288378.99 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 95.0000000
.100000000 -.10000000 -.10000000 -.10000000
.000000000 .000000000 .000000000 .000000000
1.1 10957402.51 .204749891 .143995415 .374183361 33.7951511
54.7204341 64.6878532 82.3273535 90.4519287
.177586942 -7.7795110 -15.297734 -1.1078360
-.15021446 -.94901007 14.1041771 5.00447254
2 10957402.51 .204749891 .143995415 .374183361 33.7951511
54.7204341 64.6878532 82.3273535 90.4519287
.177586942 -7.7795110 -15.297734 -1.1078360
-.15021446 -.94901007 14.1041771 5.00447254
2.1 10921683.86 .098243069 .191446571 .482370554 36.1307498
54.9592709 67.0053975 82.4908467 89.4578564
.183734708 -7.7820133 -17.784803 -1.0751812
-.23849449 -1.2660336 17.3510317 4.91198949
3 10921683.86 .098243069 .191446571 .482370554 36.1307498
54.9592709 67.0053975 82.4908467 89.4578564
.183734708 -7.7820133 -17.784803 -1.0751812
-.23849449 -1.2660336 17.3510317 4.91198949
3.1 10920885.13 .087156817 .189002261 .492507041 36.5946407
54.6518413 67.1343568 82.2789969 89.3532798
.182855261 -7.7791881 -18.082991 -1.0764423
-.24413117 -1.2076543 17.7143932 4.89558974
4 10920885.13 .087156817 .189002261 .492507041 36.5946407
54.6518413 67.1343568 82.2789969 89.3532798
.182855261 -7.7791881 -18.082991 -1.0764423
-.24413117 -1.2076543 17.7143932 4.89558974
4.1 10920847.93 .084930112 .188120653 .494422234 36.7170374
54.6000133 67.1812962 82.2308022 89.3070890
.182703678 -7.7786386 -18.190656 -1.0766267
-.24668174 -1.1942969 17.8464617 4.88972200
5 10920847.93 .084930112 .188120653 .494422234 36.7170374
54.6000133 67.1812962 82.2308022 89.3070890
.182703678 -7.7786386 -18.190656 -1.0766267
-.24668174 -1.1942969 17.8464617 4.88972200
5.1 10920845.98 .084458361 .187879298 .494806845 36.7463435
54.5888772 67.1925731 82.2198317 89.2963900
.182672651 -7.7785370 -18.215985 -1.0766583
-.24728937 -1.1912469 17.8775861 4.88859746
6 10920845.98 .084458361 .187879298 .494806845 36.7463435
54.5888772 67.1925731 82.2198317 89.2963900
.182672651 -7.7785370 -18.215985 -1.0766583
-.24728937 -1.1912469 17.8775861 4.88859746
6.1 10920845.87 .084351101 .187822827 .494893718 36.7531370
54.5863714 67.1951915 82.2173118 89.2939067
.182665693 -7.7785149 -18.221866 -1.0766651
-.24743094 -1.1905440 17.8848123 4.88834653
Run stopped after 12 model evaluations and 6 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Weighted SS Weighted MS
Regression 16 76279254.8382 4767453.42739
Residual 17619 10920845.8736 619.83347
Uncorrected Total 17635 87200100.7118
(Corrected Total) 17634 17440211.3037
R squared = 1 - Residual SS / Corrected SS = .37381
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P .084351101 .026622301 .032168765 .136533437
DP23 .187822827 .025312417 .138207992 .237437662
DP45 .494893718 .036256408 .423827581 .565959855
M1 36.753136961 .981812596 34.828687430 38.677586491
M2 54.586371355 .620848177 53.369447689 55.803295021
M3 67.195191453 .694479759 65.833942624 68.556440282
M4 82.217311835 .763192077 80.721380086 83.713243584
M5 89.293906680 .708069938 87.906019761 90.681793600
BAGE .182665693 .012042539 .159061128 .206270257
BMALE -7.778514880 .377193369 -8.517851089 -7.039178672
BCOM -18.22186616 1.196267518 -20.56666849 -15.87706383
BEDUC -1.076665107 .073300804 -1.220341912 -.932988302
BGNP -.247430940 .030793231 -.307788711 -.187073169
BCATH -1.190543952 .511067903 -2.192287452 -.188800452
BUSA 17.884812331 1.444269039 15.053902556 20.715722106
BNONCR 4.888346529 1.397355633 2.149391659 7.627301400
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.7604 -.7282 -.3612 -.0638 .0897 .1881
DP23 -.7604 1.0000 .5396 .0091 .0681 -.0828 -.0016
DP45 -.7282 .5396 1.0000 .1698 -.0366 -.2114 -.2524
M1 -.3612 .0091 .1698 1.0000 .1632 .2262 .0449
M2 -.0638 .0681 -.0366 .1632 1.0000 .2568 .2381
M3 .0897 -.0828 -.2114 .2262 .2568 1.0000 .3721
M4 .1881 -.0016 -.2524 .0449 .2381 .3721 1.0000
M5 .4234 -.1392 -.3678 -.2401 .0759 .1818 .3892
BAGE -.0053 .0493 .0443 .0503 .0182 -.0441 -.0632
BMALE .0095 -.0140 -.0020 -.1799 -.2905 -.2571 -.2297
BCOM .5836 -.2737 -.3204 -.6360 -.3661 -.3219 -.0887
BEDUC .0234 .0086 -.0056 -.0346 -.0594 -.0013 -.0180
BGNP .5389 -.2593 -.2624 -.5911 -.3578 -.3709 -.1427
BCATH -.3286 .2394 .2924 .0830 -.1738 -.3480 -.5425
BUSA -.5089 .2040 .2253 .4882 .2442 .1969 -.1937
BNONCR -.0013 .0220 -.0015 -.0267 -.0786 -.0827 -.0902
Asymptotic Correlation Matrix of the Parameter Estimates (continued)
M5 BAGE BMALE BCOM BEDUC BGNP BCATH
P .4234 -.0053 .0095 .5836 .0234 .5389 -.3286
DP23 -.1392 .0493 -.0140 -.2737 .0086 -.2593 .2394
DP45 -.3678 .0443 -.0020 -.3204 -.0056 -.2624 .2924
M1 -.2401 .0503 -.1799 -.6360 -.0346 -.5911 .0830
M2 .0759 .0182 -.2905 -.3661 -.0594 -.3578 -.1738
M3 .1818 -.0441 -.2571 -.3219 -.0013 -.3709 -.3480
M4 .3892 -.0632 -.2297 -.0887 -.0180 -.1427 -.5425
M5 1.0000 -.0954 -.2331 .3859 .0049 .4028 -.6246
BAGE -.0954 1.0000 -.0032 -.0075 .2754 -.0257 .1117
BMALE -.2331 -.0032 1.0000 .0102 -.0603 .0115 -.0120
BCOM .3859 -.0075 .0102 1.0000 .0812 .9184 -.1790
BEDUC .0049 .2754 -.0603 .0812 1.0000 .0275 .0514
BGNP .4028 -.0257 .0115 .9184 .0275 1.0000 -.0669
BCATH -.6246 .1117 -.0120 -.1790 .0514 -.0669 1.0000
BUSA -.4371 -.0009 .0111 -.7277 -.1112 -.7871 .1861
BNONCR -.1163 .0439 -.0021 -.0165 -.0201 -.0043 .1563
BUSA BNONCR
P -.5089 -.0013
DP23 .2040 .0220
DP45 .2253 -.0015
M1 .4882 -.0267
M2 .2442 -.0786
M3 .1969 -.0827
M4 -.1937 -.0902
M5 -.4371 -.1163
BAGE -.0009 .0439
BMALE .0111 -.0021
BCOM -.7277 -.0165
BEDUC -.1112 -.0201
BGNP -.7871 -.0043
BCATH .1861 .1563
BUSA 1.0000 -.0079
BNONCR -.0079 1.0000
Preceding task required 361.47 seconds elapsed.
-> WEIGHT OFF.
-> * --------------- end of Appendix Table A runs.
->
->
-> * --------------- model without devout people & religious nations --
-> re firebaugh's "ceiling" argument; Niemegen Jan 97! .
-> TEMPORARY.
-> SELECT IF ( Miss EQ 0) AND (relig4cc ne 5) AND (mfchatt4 ne 5).
->
-> SUBTITLE Model C, excluding the most devout psns & nations .
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0 .
-> vector m = m1 to m4 .
-> COMPUTE PRED= (P +DP23*ROW23+ DP45*ROW45) * M( RELIG4CC ) +
-> ((1-P)-DP23*ROW23- DP45*ROW45) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 11923 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 BAGE
BMALE BCOM BEDUC BGNP
BCATH BUSA BNONCR
1 10564395.51 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 .100000000
-.10000000 -.10000000 -.10000000 .000000000
.000000000 .000000000 .000000000
1.1 8707872.512 .107787110 .205875709 .439993119 46.2252649
58.3475833 69.4193809 83.8623668 .164341994
-8.5454259 -37.916291 -1.4148366 -.59913615
1.36368431 29.5269171 4.71696840
2 8707872.512 .107787110 .205875709 .439993119 46.2252649
58.3475833 69.4193809 83.8623668 .164341994
-8.5454259 -37.916291 -1.4148366 -.59913615
1.36368431 29.5269171 4.71696840
2.1 8561873.366 -.26987139 .413104955 .879705147 46.9120031
59.1871434 71.3061225 81.9334288 .166954097
-8.5191912 -40.100991 -1.4018496 -.67426520
1.13644789 32.9763518 4.47024858
3 8561873.366 -.26987139 .413104955 .879705147 46.9120031
59.1871434 71.3061225 81.9334288 .166954097
-8.5191912 -40.100991 -1.4018496 -.67426520
1.13644789 32.9763518 4.47024858
3.1 8561184.514 -.27024890 .400520729 .876084595 46.8360979
59.2959583 71.0426164 82.0477596 .166839901
-8.5306337 -40.016988 -1.4055282 -.66868423
1.22944876 32.8394828 4.52932842
4 8561184.514 -.27024890 .400520729 .876084595 46.8360979
59.2959583 71.0426164 82.0477596 .166839901
-8.5306337 -40.016988 -1.4055282 -.66868423
1.22944876 32.8394828 4.52932842
4.1 8561183.308 -.26975759 .400563274 .876953863 46.8232949
59.3058134 71.0602531 82.0509315 .166848255
-8.5306686 -40.022203 -1.4053735 -.66902879
1.22522539 32.8360506 4.52685469
5 8561183.308 -.26975759 .400563274 .876953863 46.8232949
59.3058134 71.0602531 82.0509315 .166848255
-8.5306686 -40.022203 -1.4053735 -.66902879
1.22522539 32.8360506 4.52685469
5.1 8561183.299 -.26988195 .400551404 .877011807 46.8255866
59.3053734 71.0582448 82.0487012 .166848529
-8.5306827 -40.023043 -1.4053926 -.66902105
1.22608751 32.8381594 4.52719109
Run stopped after 10 model evaluations and 5 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 15 37429919.7015 2495327.98010
Residual 11908 8561183.29851 718.94384
Uncorrected Total 11923 45991103.0000
(Corrected Total) 11922 12433007.1328
R squared = 1 - Residual SS / Corrected SS = .31141
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P -.269881953 .056765421 -.381151444 -.158612462
DP23 .400551404 .048589951 .305307168 .495795640
DP45 .877011807 .080981816 .718274229 1.035749385
M1 46.825586587 1.073479972 44.721390627 48.929782546
M2 59.305373366 .793183577 57.750604090 60.860142642
M3 71.058244757 .938559674 69.218514603 72.897974912
M4 82.048701174 1.242100594 79.613981273 84.483421075
BAGE .166848529 .015888554 .135704371 .197992687
BMALE -8.530682736 .493523825 -9.498069987 -7.563295484
BCOM -40.02304326 1.905671294 -43.75847004 -36.28761648
BEDUC -1.405392611 .093924033 -1.589499047 -1.221286176
BGNP -.669021049 .052490477 -.771910952 -.566131147
BCATH 1.226087512 .720110501 -.185446607 2.637621630
BUSA 32.838159441 2.061949746 28.796401386 36.879917497
BNONCR 4.527191089 1.682204537 1.229795626 7.824586552
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.6898 -.6826 -.6236 -.1217 .2376 .3752
DP23 -.6898 1.0000 .4668 .3196 .2176 .1326 .1712
DP45 -.6826 .4668 1.0000 .4075 .0814 -.1535 -.2467
M1 -.6236 .3196 .4075 1.0000 .4392 .1712 -.0533
M2 -.1217 .2176 .0814 .4392 1.0000 .5563 .4432
M3 .2376 .1326 -.1535 .1712 .5563 1.0000 .7225
M4 .3752 .1712 -.2467 -.0533 .4432 .7225 1.0000
BAGE -.0193 .0168 .0265 .0305 -.0086 -.0910 -.0971
BMALE .0034 .0079 .0029 -.2134 -.2947 -.2348 -.1691
BCOM .5460 -.5534 -.3680 -.6573 -.6331 -.4655 -.2772
BEDUC .0567 -.0255 -.0226 -.0825 -.0800 -.0296 -.0159
BGNP .4241 -.5532 -.3100 -.5566 -.6520 -.5595 -.4142
BCATH -.4348 .2057 .2090 .1126 -.2641 -.4926 -.6094
BUSA -.5685 .4392 .2017 .5716 .4444 .2144 -.0365
BNONCR -.0550 .0238 .0147 -.0310 -.1113 -.1385 -.1341
Asymptotic Correlation Matrix of the Parameter Estimates (continued)
BAGE BMALE BCOM BEDUC BGNP BCATH BUSA
P -.0193 .0034 .5460 .0567 .4241 -.4348 -.5685
DP23 .0168 .0079 -.5534 -.0255 -.5532 .2057 .4392
DP45 .0265 .0029 -.3680 -.0226 -.3100 .2090 .2017
M1 .0305 -.2134 -.6573 -.0825 -.5566 .1126 .5716
M2 -.0086 -.2947 -.6331 -.0800 -.6520 -.2641 .4444
M3 -.0910 -.2348 -.4655 -.0296 -.5595 -.4926 .2144
M4 -.0971 -.1691 -.2772 -.0159 -.4142 -.6094 -.0365
BAGE 1.0000 -.0222 .0491 .2671 .0370 .1322 -.0271
BMALE -.0222 1.0000 -.0107 -.0664 -.0150 -.0059 .0215
BCOM .0491 -.0107 1.0000 .1195 .9329 -.0629 -.7537
BEDUC .2671 -.0664 .1195 1.0000 .0703 .0344 -.1437
BGNP .0370 -.0150 .9329 .0703 1.0000 .0982 -.7527
BCATH .1322 -.0059 -.0629 .0344 .0982 1.0000 .1587
BUSA -.0271 .0215 -.7537 -.1437 -.7527 .1587 1.0000
BNONCR .0356 -.0078 .0143 -.0320 .0526 .1750 -.0246
BNONCR
P -.0550
DP23 .0238
DP45 .0147
M1 -.0310
M2 -.1113
M3 -.1385
M4 -.1341
BAGE .0356
BMALE -.0078
BCOM .0143
BEDUC -.0320
BGNP .0526
BCATH .1750
BUSA -.0246
BNONCR 1.0000
-> * ^----------------------------------------------------------------- END.