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112 Carleen F. Maitland and Johannes M. Bauer
Budget is stronger than Newspapers. Although Uncertainty Avoid-
ance is weaker than PCs, model 2 shows it is stronger than Gender
Empowerment.
For the second part of the analysis, listwise deletion of vari-
ables with fewer than thirty-five observations resulted in a sample
of twenty-eight countries (table 7). The most highly correlated
variables with GROWTH were PCs (r .614), Gender Empower-
ment (r .562), and Uncertainty Avoidance (r .561), all signifi-
cant at p .01. Five possible models were tested and the one with
the strongest explanatory power included PCs and Uncertainty
Avoidance, once again with PCs being the strongest predictor. In
model 2 Uncertainty Avoidance was again found to be the weaker
predictor when compared with Gender Empowerment. A direct
comparison of Gender Empowerment and PCs was not possible
through regression analysis due to multicollinearity: but the par-
tial correlations with GROWTH controlling for one another indi-
cate PCs has greater explanatory power. 18 The remaining models
show Uncertainty Avoidance to be a stronger predictor than Fax
Machines, Teledensity, and GDP_CAP.
Results
From the first part of the analysis it was shown that, using the full
sample of countries, cultural variables were less powerful for ex-
Table 7
Reduced Sample Model Testing for GROWTH
Model N Adjusted R 2 R 2
Model 1 28 .461
PCPTHO95 .377 .467 .01
UAI .124 .381 .05
Model 2 28 .455
GEMPWR .315 .442 .01
UAI .180 .441 .01
Model 3 28 .383
UAI .315 .439 .05
FAX1993 .114 .359 .05
Model 4 28 .438
UAI .315 .489 .01
TELEDEN .165 .413 .01
Model 5 28 .388
UAI .315 .491 .01
GDP_CAP .118 .351 .05