App Stats: McKay on "A New Foundation for the Multinomial Logit Model" 

 We hope that you can join us for the  Applied Statistics Workshop  this Wednesday, March 30th, 2011 when we will be happy to have  Alisdair McKay  from the Department of Economics at Boston University. You will find an abstract for  the paper . As always, we will serve a light lunch and the talk will begin around 12:15p. 

 "Rational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit Model"  
 Alisdair McKay   
Department of Economics, Boston University  
CGIS K354 (1737 Cambridge St.)  
Wednesday, March 30th, 2011, 12 noon   

 Abstract: 

 
   Often, individuals must choose among discrete alternatives with imperfect information about their values, such as selecting a job candidate, a vehicle or a university. Before choosing, they may have an opportunity to study the options, but doing so is costly. This costly information acquisition creates new choices such as the number of and types of questions to ask the job candidates. We model these situations using the tools of the rational inattention approach to information frictions (Sims, 2003). We nd that the decision maker's optimal strategy results in choosing probabilistically exactly in line with the multinomial logit model. This provides a new interpretation for a workhorse model of discrete choice theory. We also study cases for which the multinomial logit is not applicable, in particular when two options are duplicates. In such cases, our model generates a generalization of the logit formula, which is free of the limitations of the standard logit.