Discrete Choice Experiments Workshop
posted on March 29, 2017 9:45am
Location: Department of Agricultural, Food, and Resource Economics, Michigan State University – East Lansing – United States.
Application Opening: 30 March 2017.
Deadline for applications: 30 April 2017
Start date: 24 July 2017
End date: 28 July 2017
A maximum of 40 applicants will be admitted. Fees schedule:
Reduced (applications before April 30, 2017)
Regular (applications before June 30, 2017)
Late (applications after June 30, 2017)
The fee includes:
- A memory stick with
- slides of the lectures,
- scripts used for creation of experimental designs,
- scripts and data sets for simulation and estimation of basic and advanced discrete choice models,
- Ngene 5 Installation (temporary license),
- Nlogit Installation (temporary license),
- R packages.
- Coffee breaks,
- A social event with dinner on July 28, 2017
Cancellation Fee: $100 service fee applicable at registration. No Refunds for cancellations after June 30, 2017. Substitutions allowed.
A 20% cancellation fee will be charged to any enrolled participant who cancels before April 30, 2017. If the enrolled participant intends to cancel after this date, or does not show up for the summer school, the fee will not be refunded. Substitutions allowed. The fee will not be refunded for those who arrive late or leave before completing the summer school.
Overview, Objectives and General Contents
Discrete choice experiment is a stated-preference multi-attribute method used to systematically explore the trade-offs implied in qualitative choices. It has long and widely been employed in different applied fields such as transport, market research, health, environmental, rural, and food economics. The most common goals are the elicitation of individual preferences, individual willingness to pay, and choice forecasting. It can be applied for both public and private goods in developed and developing economies.
The main objective of the summer school is to deliver an organic treatment of theoretical and practical knowledge so as to enable participants to use them in their own applied research. Particular attention will be given to recent developments in the context of experimental designs for stated choice surveys. During the course participants will learn the empirical and theoretical foundations behind diverse experimental designs and random utility models. The practical component of the course will be based on recent software developments in estimation and experimental design. For estimation, the course will utilize the well-known Nlogit5 software (an extension of the LimDep package), while the experimental design component will be taught using Ngene, which is a dedicated software recently developed by ChoiceMetrics. An overview of estimations of discrete choice models in R will also be covered. Specific applied research case studies will be used to illustrate and discuss the practical challenges researchers can face in the following research areas: transportation, environmental economics, and food choices. These will cover applications in both developed and developing economies.
The course is open to graduate students at different levels (MSc, MPhil, PG-diploma, and PhD), academics, consultants, and other practitioners. Applications will be evaluated on a first-come first-serve basis; as well as on motivations indicated in the application letter. Recommendation letters by academic supervisors endorsing the good standing of the candidate are welcomed, but not required.
Registration for International Summer School Discrete Choice Experiments and Data Analysis is open.
Registration closes at 11:59 p.m. on July 17, 2017.
Michigan State University is committed to providing equal opportunity for participation in all programs, services and activities. Accommodations for persons with disabilities may be requested by contacting the event contact two weeks prior to the start of the event. Requests received after this date will be honored whenever possible.