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

[David Hensher]

Dear Mik

It does sound a bit like the DoD approach and I think it would be very 
interesting to design a number of designs (each with subsets of 
attributes but some common attributes) and test for differences - bit 
like hierarchical information integration that some of us did many years 
ago (Louviere, Hensher, Timmermans). Then settle on one design if they 
want that or indeed jointly estimate across all designs.

David


On 17/02/2018 8:17 AM, Mikołaj Czajkowski wrote:
>
> Dear David,
>
> As far as I understood Richard's question, option (1) *partial profile 
> design* is having many versions of the study using different 
> attributes vs. option (2) would be an initial study like (1) + final 
> study aimed at learning more about the most prominent attributes. 
> Attribute non-attendance would be a thing to econometrically control 
> in each case, (1) and (2), but does it help determine if option (1) or 
> (2) is preferable?
>
> Best regards,
> Mik
>
>
> On 2018-02-16 21:56, David Hensher via Limdep wrote:
>> This relates to the literature on attribute non attendance where 
>> different attributes are relevant to different people and selecting a 
>> limited set initially without strong evidence of the universal 
>> relevant set is behaviourally concerning.
>>
>> Depending on how many attributes, up to 20 or so is fine and one can 
>> ask questions on which attributes are attended to. Lots of papers on 
>> this by people such as Hensher, Louviere, Scarpa, and the special 
>> issue a couple of years ago in J of choice modelling on process 
>> heuristics and especially the design of designs (DoD) approach 
>> initially developed by Hensher
>>
>> Sent from my iPhone
>> 0418 433 057
>> David A Hensher
>>
>> Note: hgroup at optusnet.com.au<mailto:hgroup at optusnet.com.au> has been 
>> cancelled so instead use
>> hgroup at hensher.com.au<mailto:hgroup at hensher.com.au> 
>> David.hensher at bigpond.com<mailto:David.hensher at bigpond.com>
>> David.hensher at sydney.edu.au<mailto:David.hensher at sydney.edu.au>
>> These emails are linked so use one only
>>
>>
>> On 17 Feb 2018, at 7:33 am, Mikołaj Czajkowski 
>> <miq at wne.uw.edu.pl<mailto:miq at wne.uw.edu.pl>> wrote:
>>
>>
>> Dear Richard,
>>
>> It seems to me like the answer to this question would depend on the 
>> goal of the modeller - whether he wants to learn a lot about the most 
>> important attributes only, or have some idea about all the 
>> attributes. I am not sure is a lot of concrete advice can be given in 
>> these kinds of situations.
>>
>> Cheers,
>> Mik
>>
>>
>> On 2018-02-16 21:20, Richard Turner wrote:
>> 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
>> _______________________________________________
>> Limdep site list
>> Limdep at mailman.sydney.edu.au<mailto:Limdep at mailman.sydney.edu.au>
>> http://limdep.itls.usyd.edu.au
>>
>>
>> _______________________________________________
>> Limdep site list
>> Limdep at mailman.sydney.edu.au<mailto:Limdep at mailman.sydney.edu.au>
>> http://limdep.itls.usyd.edu.au
>>
>> _______________________________________________
>> Limdep site list
>> Limdep at mailman.sydney.edu.au
>> http://limdep.itls.usyd.edu.au
>>
>
> _______________________________________________
> Limdep site list
> Limdep at mailman.sydney.edu.au
> http://limdep.itls.usyd.edu.au
>
>


-- 
DAVID HENSHER FASSA, PhD | Professor and Founding Director Institute of Transport and Logistics Studies | The University of Sydney Business School

THE UNIVERSITY OF SYDNEY
Rm 201, Building H73 | The University of Sydney | NSW | 2006 Street Address: 378 Abercrombie St, Darlington NSW 2008
T +61 2 9114 1871 | F +61 2 9114 1863 | M +61 418 433 057
E David.Hensher at sydney.edu.au | W sydney.edu.au/business/itls

Celebrating 25 years of ITLS: 1991-2016 https://protect-au.mimecast.com/s/X0DNCvl0PoC2mMKJHQ51YG?domain=youtu.be ERA Rank 5 (Transportation and Freight Services) Co-Founder of the International Conference Series on Competition and Ownership of Land Passenger Transport (The 'Thredbo' Series) https://protect-au.mimecast.com/s/le6HCwVLQmiAMY95UqD2yg?domain=thredbo-conference-series.org
Join the ITLS group on LinkedIn
Second edition of Applied Choice Analysis now available at www.cambridge.org/9781107465923

CRICOS 00026A
This email plus any attachments to it are confidential. Any unauthorised use is strictly prohibited. If you receive this email in error, please delete it and any attachments.
Please think of our environment and only print this e-mail if necessary.