Table A1: Regression Estimation Results, Accounting (N = 303)
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APPENDIX
Table A1: Regression estimation results, Accounting (n = 303)
Journal score / A/A+ journal publicationModel 1 / Model 2 / Model 1 / Model 2
Coefficient / SE / Coefficient / SE / Coefficient / SE / Coefficient / SE
Constant / .170 / *** / .021 / .169 / *** / .021 / -3.034 / *** / .839 / -2.981 / *** / .835
% female / .028 / .029 / .029 / .030 / -2.626 / 1.637 / -3.406 / 2.153
% international / .407 / *** / .054 / .421 / *** / .068 / 3.883 / *** / 1.171 / 3.321 / ** / 1.436
% female X % international / -.088 / .287 / 4.970 / 7.352
Number authors / .001 / .008 / .001 / .008 / .022 / .290 / .021 / .287
Publication year / .011 / ** / .005 / .011 / ** / .005 / .162 / .166 / .158 / .168
Model fit
F / 17.94 / *** / 14.31 / ***
R2 / .082 / .082
χ2 / 17.05 / *** / 14.57 / **
Pseudo R2 / .105 / .108
LL / -70.61 / -70.33
Financial Times list / UT Dallas list
Model 1 / Model 2 / Model 1 / Model 2
Coefficient / SE / Coefficient / SE / Coefficient / SE / Coefficient / SE
Constant / -3.034 / *** / .839 / -2.981 / *** / .835 / - / -
% female / -2.626 / 1.637 / -3.406 / 2.153 / - / -
% international / 3.883 / *** / 1.171 / 3.321 / ** / 1.436 / - / -
% female X % international / 4.970 / 7.352 / -
Number authors / .022 / .290 / .021 / .287 / - / -
Publication year / .162 / .166 / .158 / .168 / - / -
Model fit
χ2 / 17.05 / *** / 14.57 / ** / - / -
Pseudo R2 / .105 / .108 / - / -
LL / -70.61 / -70.33 / - / -
*p < .10, **p < .05, ***p < .01 (two-sided test)
Max. VIF = 1.74
The analysis was dropped for UT Dallas list due to low variation of the dependent variable in this field.
Table A2: Regression estimation results, Finance (n =906)
Journal score / A/A+ journal publicationModel 1 / Model 2 / Model 1 / Model 2
Coefficient / SE / Coefficient / SE / Coefficient / SE / Coefficient / SE
Constant / .263 / *** / .024 / .258 / *** / .024 / -2.390 / *** / .282 / -2.435 / *** / .287
% female / .024 / .032 / .048 / .034 / -.467 / .440 / -.093 / .436
% international / .362 / *** / .037 / .415 / *** / .041 / 2.461 / *** / .358 / 2.768 / *** / .400
% female X % international / -.054 / *** / .185 / -3.412 / 2.138
Number authors / .007 / .009 / .006 / .009 / .118 / .089 / .114 / .089
Publication year / .016 / *** / .005 / .017 / *** / .005 / .111 / * / .064 / .114 / * / .064
Model fit
F / 29.21 / *** / 25.49 / ***
R2 / .086 / .091
χ2 / 58.55 / *** / 62.51 / ***
Pseudo R2 / .068 / .072
LL / -390.62 / -389.05
Financial Times list / UT Dallas list
Model 1 / Model 2 / Model 1 / Model 2
Coefficient / SE / Coefficient / SE / Coefficient / SE / Coefficient / SE
Constant / -3.752 / *** / .414 / -3.764 / *** / .418 / -3.852 / *** / .441 / -3.824 / *** / .442
% female / -.959 / .665 / -.795 / .730 / -1.322 / .837 / -2.065 / * / 1.139
% international / 3.668 / *** / .435 / 3.728 / *** / .478 / 3.672 / *** / .484 / 3.496 / *** / .528
% female X % international / -.677 / 2.277 / 2.330 / 2.621
Number authors / .277 / ** / .118 / .276 / ** / .119 / .261 / ** / .127 / .271 / ** / .127
Publication year / .059 / .092 / .060 / .092 / -.023 / .103 / -.023 / .103
Model fit
χ2 / 87.04 / *** / 88.02 / ** / 79.54 / *** / 77.60 / ***
Pseudo R2 / .162 / .162 / .162 / .164
LL / -230.59 / -230.55 / -189.42 / -189.11
*p < .10, **p < .05, ***p < .01 (two-sided test)
Max. VIF = 1.36
Figure A1: Interaction effect of % female and % international (journal score), Finance
Table A3: Regression estimation results, Marketing (n = 854)
Journal score / A/A+ journal publicationModel 1 / Model 2 / Model 1 / Model 2
Coefficient / SE / Coefficient / SE / Coefficient / SE / Coefficient / SE
Constant / .224 / *** / .027 / .225 / *** / .027 / -1.926 / *** / .247 / -1.891 / *** / .248
% female / -.064 / ** / .032 / -.073 / ** / .034 / -.248 / .300 / -.538 / .348
% international / .306 / *** / .047 / .280 / *** / .055 / 1.579 / *** / .378 / 1.178 / *** / .450
% female X % international / .141 / .160 / 2.200 / * / 1.311
Number authors / .013 / * / .080 / .013 / * / .080 / .085 / .071 / ..091 / .072
Publication year / .028 / *** / .007 / .028 / *** / .007 / .106 / * / .059 / .108 / * / .059
Model fit
-F / 21.59 / *** / 17.37 / ***
R2 / .084 / .085
χ2 / 31.11 / *** / 33.07 / ***
Pseudo R2 / .036 / .039
LL / -427.77 / -426.28
Financial Times list / UT Dallas list
Model 1 / Model 2 / Model 1 / Model 2
Coefficient / SE / Coefficient / SE / Coefficient / SE / Coefficient / SE
Constant / -2.496 / *** / .284 / -2.451 / *** / .281 / -2.423 / *** / .278 / -2.379 / *** / .274
% female / -1.165 / ** / .533 / -1.748 / ** / .563 / -1.180 / ** / .549 / -1.813 / ** / .596
% international / 1.737 / *** / .509 / 1.318 / ** / .569 / 1.956 / *** / .498 / 1.525 / *** / .561
% female X % international / 2.950 / * / 1.683 / 3.038 / 1.679
Number authors / .023 / .071 / .029 / .069 / -.126 / .066 / -.130 / .064
Publication year / .046 / .081 / .052 / .082 / .033 / .084 / .039 / .084
Model fit
χ2 / 32.49 / *** / 33.84 / *** / 33.14 / *** / 33.75 / ***
Pseudo R2 / .044 / .049 / .048 / .054
LL / -251.66 / -250.36 / -243.99 / -242.62
*p < .10, **p < .05, ***p < .01 (two-sided test)
Max. VIF = 1.71
Figure A2: Interaction effect of % female and % international (A/A+ publication), Marketing
Figure A3: Interaction effect of % female and % international (Financial Times), Marketing
Figure A4: Interaction effect of % female and % international (UT Dallas), Marketing
Table A4: Regression estimation results, Management (n = 1,720)
Journal score / A/A+ journal publicationModel 1 / Model 2 / Model 1 / Model 2
Coefficient / SE / Coefficient / SE / Coefficient / SE / Coefficient / SE
Constant / .286 / *** / .013 / .279 / *** / .013 / -1.992 / *** / .152 / -2.079 / *** / .156
% female / -.043 / ** / .018 / -.025 / .018 / -.824 / *** / .257 / -.486 / * / .260
% international / .304 / *** / .024 / .346 / *** / .027 / 1.674 / *** / .252 / 2.047 / *** / .288
% female X % international / -.259 / *** / .096 / -3.214 / *** / 1.218
Number authors / .013 / .003 / .020 / .003 / .075 / ** / .038 / .085 / ** / .036
Publication year / .009 / ** / .004 / .010 / *** / .004 / .037 / .046 / .040 / .046
Model fit
-F / 51.27 / *** / 44.00 / ***
R2 / .094 / .098
χ2 / 77.56 / *** / 91.66 / ***
Pseudo R2 / .049 / .054
LL / -745.28 / -741.53
Financial Times list / UT Dallas list
Model 1 / Model 2 / Model 1 / Model 2
Coefficient / SE / Coefficient / SE / Coefficient / SE / Coefficient / SE
Constant / -1.928 / *** / .146 / -2.018 / *** / .153 / -3.097 / *** / .236 / -3.111 / *** / .249
% female / -.770 / *** / .268 / -.419 / .270 / -1.219 / ** / .452 / -1.153 / ** / .495
% international / 2.120 / *** / .248 / 2.483 / *** / .288 / 1.597 / *** / .369 / 1.639 / *** / .417
% female X % international / -2.995 / ** / 1.232 / -.428 / 1.606
Number authors / .050 / .031 / .060 / ** / .030 / .080 / ** / .032 / .082 / ** / .032
Publication year / -.009 / .042 / -.006 / .046 / -.065 / .080 / -.065 / .081
Model fit
χ2 / 106.51 / *** / 118.29 / *** / 46.44 / *** / 47.36 / ***
Pseudo R2 / .066 / .071 / .052 / .052
LL / -728.86 / -725.33 / -329.20 / -329.17
*p < .10, **p < .05, ***p < .01 (two-sided test)
Max. VIF = 1.53
Figure A5: Interaction effect of % female and % international (journal score), Management
Figure A6: Interaction effect of % female and % international (A/A+ publication), Management
Figure A7: Interaction effect of % female and % international (Financial Times), Management
Table A5: Regression estimation results, OR/production (n = 885)
Journal score / A/A+ journal publicationModel 1 / Model 2 / Model 1 / Model 2
Coefficient / SE / Coefficient / SE / Coefficient / SE / Coefficient / SE
Constant / .494 / *** / .020 / .494 / *** / .020 / -1.014 / *** / .236 / -1.014 / *** / .236
% female / .020 / .029 / .013 / .033 / -.046 / .355 / -.044 / .402
% international / .055 / ** / .027 / .049 / .031 / .222 / .321 / .224 / .366
% female X % international / .049 / .123 / -.015 / 1.464
Number authors / -.008 / .006 / -.008 / .006 / -.020 / .077 / -.020 / .077
Publication year / .002 / .005 / .002 / .005 / -.023 / .056 / -.023 / .055
Model fit
-F / 1.29 / * / 1.05
R2 / .005 / .006
χ2 / .67 / .67
Pseudo R2 / .001 / .001
LL / -499.25 / -499.25
Financial Times list / UT Dallas list
Model 1 / Model 2 / Model 1 / Model 2
Coefficient / SE / Coefficient / SE / Coefficient / SE / Coefficient / SE
Constant / -3.314 / *** / .523 / -3.299 / *** / .529 / -3.226 / *** / .499 / -3.216 / *** / .505
% female / -1.366 / 1.113 / -1.907 / 1.472 / -1.591 / 1.134 / -1.978 / 1.469
% international / 1.883 / *** / .665 / 1.739 / ** / .743 / 2.060 / *** / .647 / 1.967 / *** / .716
% female X % international / 1.744 / 4.020 / 1.220 / 4.077
Number authors / .017 / .161 / .025 / .162 / -.001 / .155 / .005 / .155
Publication year / -.071 / .135 / -.071 / .134 / -.067 / .128 / -.067 / .128
Model fit
χ2 / 13.86 / *** / 13.09 / ** / 16.81 / *** / 16.21 / ***
Pseudo R2 / .043 / .043 / .051 / .051
LL / -144.13 / -144.01 / -151.73 / -151.67
*p < .10, **p < .05, ***p < .01 (two-sided test)
Max. VIF = 1.61
Table A6: Regression estimation results, Information systems (n = 1,229)
Journal score / A/A+ journal publicationModel 1 / Model 2 / Model 1 / Model 2
Coefficient / SE / Coefficient / SE / Coefficient / SE / Coefficient / SE
Constant / .174 / *** / .007 / .174 / *** / .007 / -4.030 / *** / .483 / -4.026 / *** / .483
% female / .006 / .012 / .008 / .013 / .088 / .676 / -.174 / .740
% international / .033 / *** / .013 / .035 / ** / .014 / 1.630 / ** / .653 / 1.425 / ** / .703
% female X % international / -.030 / .083 / 2.581 / 3.804
Number authors / -.008 / *** / .002 / -.008 / *** / .002 / -.032 / .092 / -.030 / .091
Publication year / .006 / *** / .002 / .006 / *** / .002 / .233 / * / .142 / .236 / * / .141
Model fit
-F / 8.81 / *** / 7.05 / ***
R2 / .019 / .019
χ2 / 13.59 / *** / 13.97 / **
Pseudo R2 / .025 / .026
LL / -171.99 / -171.80
Financial Times list / UT Dallas list
Model 1 / Model 2 / Model 1 / Model 2
Coefficient / SE / Coefficient / SE / Coefficient / SE / Coefficient / SE
Constant / -5.701 / *** / .961 / -5.716 / *** / .963 / -3.760 / *** / .706 / -3.777 / *** / .709
% female / -.849 / 1.042 / -.652 / .997 / -1.598 / 1.105 / -1.187 / 1.015
% international / .299 / .834 / .471 / .874 / 1.125 / .844 / 1.333 / .883
% female X % international / -3.976 / 6.717 / -6.409 / 6.493
Number authors / .014 / .111 / .015 / .111 / -.125 / .137 / -.125 / .137
Publication year / .608 / ** / .241 / .608 / ** / .242 / .150 / .175 / .148 / .176
Model fit
χ2 / 9.12 / * / 9.50 / ** / 7.16 / 8.59
Pseudo R2 / .053 / .054 / .016 / .018
LL / -96.80 / -96.73 / -131.47 / -131.23
*p < .10, **p < .05, ***p < .01 (two-sided test)
Max. VIF = 1.36