Experimental Designs for Discrete Choice Set Experiments

Article Id: BKAP15 | Page : 57-61
Citation :- Experimental Designs for Discrete Choice Set Experiments .Bhartiya Krishi Anusandhan Patrika.2017.(32):57-61

Rahul Banerjee, Seema Jaggi, Eldho Varghese, Cini Varghese, Arpan Bhowmik and B.J. Gehlot

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ICAR-Indian Agricultural Statistics Research Institute, Library  Avenue, PUSA, New Delhi -110 012


    A discrete choice experiment is an attribute based method that gives further insight into how individuals develop preferences for particular attributes. These are used in the traditional areas in health economics, transportation, and marketing and increasingly beyond these areas. These experiments enable researchers to model choice in an explicit competitive context, thus realistically emulating market decisions. A choice design consists of choice sets composed of several alternatives, each defined as combinations of different attribute levels. A good choice design is efficient, meaning that the parameters of the choice model are estimated with maximum precision. Here, an example of obtaining discrete choice sets using factorial combinations has been described.


Discrete and Experimental


  1. Deshazo, J. R. and Fermo, G. (2002). Designing choice sets for stated preference methods: The effects of complexity on choice consistency, Journal of Environmental Economics and Management, 44, 123-143.
  2. Demirkale, F., Donovan, D. and Street, D. J. (2013). Constructing D-optimal symmetric stated preference discrete choice experiments, Journal of Statistical Planning and Inference, 143, 1380-1391
  3. Kuhfeld, W. F. (2010). Marketing Research Methods in SAS, SAS 9.2 Edition MR, 2, 53-241.
  4. Sanko, N. (2001). Guidelines for Stated Preference Experiment Design, M.BA. Dissertation, School of International Management,EcoleNationale des PontsetChaussées.
  5. Singh R., Chai, F. S. and Das, A. (2015). Optimal two-level choice designs for any number of choice sets, Biometrika, 102, 967-973.
  6. Street, D. J. and Burgess, L. (2007). The Construction of Optimal Stated Choice Experiments: Theory and Methods. Wiley, New York. 

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