Hierarchical regression modeling results

Predictor Variables Model 1 Model 2 Model 3 Model 4

MSE (FIFA vs. TOP) 1.45 (.57) 1.00 (.51) -0.60 (.39) 0.15 (.74)

Dyadic

Inflation 2.23* (.09) 3.07** (.12) 2.42* (.16)

Economic Growth 1.84 (.10) 1.64 (.11) 1.78 (.11)

Agency Conflicts 1.44 (.80) 1.21 (.82) 0.32 (.62)

Seller-Related

Population – Future Host -0.27 (.40) -0.25 (.45)

GDP – Future Host 0.91 (.55) 1.00 (.68)

Country Risk Index -.79 (.43) -0.82 (.35)

Sponsorship Clutter 2.97** (.21) 2.41* (.23)

Customer-Related

Congruence -2.43* (.15)

Stability of Leadership -0.14 (.41)

Brand Equity -2.39* (.15)

Public Corporation -0.66 (.40)

N. American Corporation -0.56 (.37)

B2B 1.18 (.80)

Sponsorship Level -1.59 (.23)

AIC 189.9 185.7 183.1 171.7

Log-likelihood -93.93 -88.86 -83.56 -70.86

Wald χ² 2.09 8.73* 9.51* 19.11**

Results from Cox model, with exact discrete approximation for handling ties.

Standardized coefficients are listed, with standard errors in parentheses.

* p < .05; ** p < .01

.1.2

.3.4

.5

Sm

ooth

ed h

azard

fun

ction

2 3 4 5 6Analysis Time

Congruent Incongruent

Cox Model: Congruence Differentials

.1.2

.3.4

.5

Sm

ooth

ed h

azard

fun

ction

2 3 4 5 6Analysis Time

High Brand Equity Low Brand Equity

Cox Model: Brand Equity Differentials