Many firms have taken advantage of increasing international opportunities. Therefore, internationalization is important because it has been a source of growth and profitability. To adequately study the topic, it is necessary to investigate the factors that constitute and influence...

Buyer-seller negotiations are characteristics of purchase behavior often encountered in business-to-business marketing settings. This dissertation research explores how asymmetric power conditions and expected length of relationship affect buyer's pre-negotiation strategy development. Past...

This paper explores the dilemma of choosing talent using NBA data from 1987-2003. We find that there is much uncertainty in selecting talent. If superstars are found they are usually identified early, however, more false positive exist than correct decisions with high draft picks. Our results...

In an influential article, “Unraveling in Matching Markets,” Li and Rosen (1998) note the first seven picks, and 17 among 29 first round selections of the 1997 NBA draft, were not college seniors. In 2004, the first pick in the NBA draft was a high school senior, and 25 of the first 29 picks...

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...

In this paper we study two methods for finding confidence limits for the simple median. One method is the new parametric procedure based on the sign test, and the other is derived in the paper. The two methods are compared asymptotically and also for small samples

We define a class of models that are generalizations of regression models and moving average-autoregressive time series models. Then we investigate the asymptotic and computational properties of the maximum likelihood estimator, with numerical examples. The main conclusion is that care must be...

We give some Monte Carlo results on the performance of two robust alternatives to least squares regression estimation - least absolute residuals and the one-step "sine" estimator. We show how to scale the residuals for the sine estimator to achieve constant efficiency at the Gaussian across...