Competitive balance measures in us professional sport: an empirical comparison
Download 362.34 Kb.
|
- Navigate this page:
- Dependent Variable Mean Standard Deviation
- Explanatory Variable Mean
- Dependent Explanatory Coefficient t-Statistic
|
Table 11 – Statistical Analysis of the Baseball Models
Table 12 – Baseball Models Key:
ET – Expansion Team YT – Young Team LT – Luxury Tax RS – Revenue Sharing Using the measures SD, NSD and GC the existence of the Luxury Tax is the only variable that has a negative sign. This suggests that the Luxury Tax initiative does improve CB in Baseball although the significance level of the Luxury tax variable is low. The other variables all have positive signs suggesting that they have an adverse effect on CB. That is to say that when an expansion occurs or just after an expansion occurs CB is reduced. The anomaly is the Revenue Sharing variable which has a positive sign and therefore appears to reduce CB. However, using the HHI or the FCCR measures it is the revenue sharing variable that has the negative sign and therefore appears to improve CB whereas the other variables have positive signs, albeit with low absolute values for the HHI model and low absolute values for the FCCR model excluding the existence of a Young Team. In the models using the measures SD, NSD and GC the constant and the two variables relating to the existence of an expansion team or a young team are all significant. This is in contrast to the models using the HHI or the FCCR where only the constant and the variable relating to the existence of the revenue sharing agreement are significant. The collinearity of the variables was examined via the tolerance measure statistic as described in section 3.9. In all cases the tolerance values were well above the 0.1 threshold, mainly in the range 0.3-0.5. This was repeated for all models across all sports and as such will not be mentioned again in this study since it is clear that the variables are not collinear. 4.4.2 NBA (Basketball)
Table 13 – Dependent Variables used in Basketball Models
Table 14 – Explanatory Variables used in Basketball Models
Table 15 – Statistical Analysis of Basketball Models Again there is consistency between the models for the SD, NSD and GC measures. In each the Low and Medium salary cap variables are significant while the other variables are not significant. The coefficients of all the variables are positive suggesting that they have an adverse effect on CB. This is intuitively correct for the Expansion and Young team variables but counter intuitive for the variables that relate to league measures introduced to improve CB. There is also consistency between the models for the HHI and FFCR measures. All three salary cap variables are significant and have negative signs. The Young team variable has a negative sign in both but is not statistically significant. The Expansion team variable is the only one with a positive sign but that isn’t significant either. As can be seen there are significant differences between the HHI, FCCR measures and the other three. Different variables are significant and have different signs. 4.4.3 NFL (American Football)
Table 16 – Dependent Variables in American Football Models
Table 17 – Explanatory Variables used in American Football Models
Table 18 – Statistical Analysis of American Football Models There are no significant variables in any model. This suggests that all the initiatives and effects examined do not significantly influence the CB of the NFL. The strongest variable throughout is the Free Agency Plan A variable. The HHI and FCCR models are very similar in that all coefficients are negative. The SD, NSD and GC models have the same signs for all their variables with the exception of Free Agency Plan B which is positive for the NSD model and negative (albeit very small) for the other two models. 4.4.4 NHL (Ice Hockey)
Directory: 2013 2013 -> Annual InStructional unit plan 2013 -> The Ministry of Education and Science of Ukraine 2013 -> #1 a lifesafer of virginia inc 2013 -> Name(s): your name here team or Group #(if applicable): Professor’s name 2013 -> Alcott Local School Council (lcs) Meeting Minutes 2013 -> Table Of Contents introduction 2 2013 -> Supplemental demographic information 2013 -> 【Education&Working Experience】 Download 362.34 Kb. Share with your friends:
|