Political Networks of Companies - AOM Conference
Paper

Notes on Regulatory Uncertainty
Variable

The
following is a very brief summary of the effect of Including Q25 and Q26,
Regulatory Uncertainty, into the predictor set of political networks.

For
the full-rank regression, it turns out Q26 (but not Q25) *IS* significant for
both Senate response, but not at all for the House, which is interesting. None of the residuals are normal.

Let
us check the reduced predictor sets and see how this turns out.

Changes: Between all responses, both Q25/26 were
needed. With the addition of Q25/26,
AllGive02 dropped out of Q11c (Senate personal meetings), although Allgive was not included in the other responses under the
previous predictors.

Reduced
regressions on Size of Network for both House and Senate were unchanged with
the addition of Regulatory Uncertainty predictor. However, the number of
private meetings in both the Houses were explained by a significantly
different set of predictors with the inclusion of Q25 and Q26 into the
superset. (*Go back and see comparison
chart for effects.*)

__Basic Correlations: Largest is somewhat
significant (Q11c, Q25)__

Q8 Q11c
Q17 Q20c Q25
Q26

Q8 1.00
0.50 0.71 0.51 -0.18
0.06

Q11c
0.50 1.00
0.29 0.40 -0.23 0.13

Q17 0.71
0.29 1.00 0.62 -0.08 -0.06

Q20c
0.51 0.40
0.62 1.00 -0.17 0.00

Q25 -0.18 -0.23 -0.08 -0.17 1.00 -0.12

Q26 0.06
0.13 -0.06 0.00 -0.12 1.00

Check
Significance of Largest Correlation:

cor(q11c, q25) = -0.25

95%
ME is about about +/- 0.217019

90%
ME is about about +/- 0.181485

99%
ME is about about +/- 0.28776

Pearson's product-moment correlation

------------------------------------

data:
q11c and q25

t
= -2.2769, df = 79, p-value
= 0.0255

sample estimates: cor -0.248157

-----------------------------

data:
q11c and q25

normal-z = -2.0938, p-value = 0.0363

sample estimates: tau -0.139198

Spearman's rank correlation

---------------------------

data:
q11c and q25

normal-z = -2.003, p-value = 0.0452

sample estimates: rho -0.223926