From the RESECON listserv:
"Discrete Choice Models: Theory and Applications to Environment, Landscape, Transportation and Marketing"
Bologna, June 22 - July 3, 2009
Deadline for applications: May 20, 2009
Discrete choice modelling has been a fast growing topic in the economic literature. Its wide-ranging applications to problems of qualitative choice regarding the environment, transportation, and marketing, have recently given rise to a large body of rapidly evolving literature. The flexibility of such a technique, the reliability of its results, and the possibility to consider and combine the analysis of stated and real choices make this method one of the most promising in applied preference estimation.
This course is delivered by top scholars and practitioners and it aims at learning both the fundamentals (week 1) and the recent advances (week 2) of discrete choice modelling. It will provide the appropriate knowledge of multinomial, nested and random parameters logit and probit models. The appropriate techniques for the design of experiments and choice tasks will be explained, with software applications and workshops regarding specific problems in the fields of environment, transportation, and marketing.
Target groups
The course is open to consultants, graduate students, academics, and other practitioners, with at least a master degree in agriculture, economics, statistics, or equivalent degrees. ...
Bologna, June 22 - July 3, 2009
Deadline for applications: May 20, 2009
Discrete choice modelling has been a fast growing topic in the economic literature. Its wide-ranging applications to problems of qualitative choice regarding the environment, transportation, and marketing, have recently given rise to a large body of rapidly evolving literature. The flexibility of such a technique, the reliability of its results, and the possibility to consider and combine the analysis of stated and real choices make this method one of the most promising in applied preference estimation.
This course is delivered by top scholars and practitioners and it aims at learning both the fundamentals (week 1) and the recent advances (week 2) of discrete choice modelling. It will provide the appropriate knowledge of multinomial, nested and random parameters logit and probit models. The appropriate techniques for the design of experiments and choice tasks will be explained, with software applications and workshops regarding specific problems in the fields of environment, transportation, and marketing.
Target groups
The course is open to consultants, graduate students, academics, and other practitioners, with at least a master degree in agriculture, economics, statistics, or equivalent degrees. ...
*Upon further thought, this looks like an excellent opportunity.
