Newsvendors, such as newspaper companies, face the challenge that they need to decide how many units to produce before facing the demand by customers, and that their products are perishable. Experimental studies have documented that individuals do not find the optimal solution to that problem...

In this paper, we discuss discrete choice theory and show how this theory can be used to quantify learning effects in experimental studies. We argue why the ordering quantities in newsvendor experiments should follow a multinomial logit distribution. We provide a robustness analysis to explain...