Comparing talent across time is difficult as productivity changes. To compare talent across time we utilize Major League baseball data from 1871-2010 and time series techniques to determine if the mean and standard deviation of five performance measures are stationary and if structural breaks...

Using a panel study of annual Major League Baseball data (1990-2004) we do not find evidence of exit discrimination against African-American players in Major League Baseball. Our findings are inconsistent with results from a study by Jiobu (1988) using 1971-1985 data which found that race...

We use the contingent valuation method to measure the amount citizens are willing to pay to improve mountain-view aesthetics through the removal of billboards. Our approach addresses both the perceived property rights as well as the perceptions of the status quo in the southern Appalachian...

Proponents of wind power note that wind is a green energy source. Yet locating electrical generating windmills has become difficult in some localities because of potential negative externalities. We address why the NIMBY syndrome may arise when choosing site locations by addressing the perceived...

NASCAR’s reward structure for rank order tournaments has been considered the exception to the rule in tournament theory due to the linear payout structure. We suggest that the rewards for drivers are nonlinear when you take into consideration the value of sponsorship time on camera and sponsor...

We offer a new approach to investigate hypothetical bias in contingent valuation using a latent choice multinomial logit model. To develop this model, we extend Dempster, Laird, and Rubin's 1977 work on the expectations maximization algorithm to the estimation of a multinomial logit model with...

Corporate sponsorship plays an important role in the entertainment business. The question becomes: what influences the value of a sponsorship contract? Empirical analysis of this question is relatively limited because of a lack of complete data on contract values. This is especially true in...