[Limdep Nlogit List] How to deal with large numbers of attributes?

[Richard Turner]

Greetings,

What is the best way to handle large numbers of attributes in discrete
choice experiments?

Is it better to do a *partial profile design* or to do some* two-step
approach* such as conducting  an "initial study" using a partial profile
design, then conduct a final study using the most important attributes,
which were derived from the initial study (implicit in the second method
would be to synthesize the learnings from both studies to get some ranking
of all the attributes)?

I've done some searching, but haven't found any "defining" papers on the
subject.

Any advice and/or direction is greatly appreciated!

Regards,

Richard