Dear fellow researchers,
is it possible in Apollo to estimate an HB model for dual response none data?
I want to re-model results from Sawtooth Lighthouse Studio and still do not know if Apollo is the suibtable software for that.
Thanks in advance.
Jules
Important: Read this before posting to this forum
- This forum is for questions related to the use of Apollo. We will answer some general choice modelling questions too, where appropriate, and time permitting. We cannot answer questions about how to estimate choice models with other software packages.
- There is a very detailed manual for Apollo available at http://www.ApolloChoiceModelling.com/manual.html. This contains detailed descriptions of the various Apollo functions, and numerous examples are available at http://www.ApolloChoiceModelling.com/examples.html. In addition, help files are available for all functions, using e.g. ?apollo_mnl
- Before asking a question on the forum, users are kindly requested to follow these steps:
- Check that the same issue has not already been addressed in the forum - there is a search tool.
- Ensure that the correct syntax has been used. For any function, detailed instructions are available directly in Apollo, e.g. by using ?apollo_mnl for apollo_mnl
- Check the frequently asked questions section on the Apollo website, which discusses some common issues/failures. Please see http://www.apollochoicemodelling.com/faq.html
- Make sure that R is using the latest official release of Apollo.
- Users can check which version they are running by entering packageVersion("apollo").
- Then check what is the latest full release (not development version) at http://www.ApolloChoiceModelling.com/code.html.
- To update to the latest official version, just enter install.packages("apollo"). To update to a development version, download the appropriate binary file from http://www.ApolloChoiceModelling.com/code.html, and install the package from file
- If the above steps do not resolve the issue, then users should follow these steps when posting a question:
- provide full details on the issue, including the entire code and output, including any error messages
- posts will not immediately appear on the forum, but will be checked by a moderator first. This may take a day or two at busy times. There is no need to submit the post multiple times.
HB estimation for dual response none data
Re: HB estimation for dual response none data
Hi Jules,
I wasn't familiar with the "dual response none" approach, so I am basing my response on the description provided in this website. It basically state that -in the context of a stated preferences survey- the method consists in splitting each choice exercise in two stages: a forced choice between alternatives, followed by a binary choice between the selected alternative and an opt-out.
The webpage, however, does not state how the estimation is performed, making it difficult to reproduce the process in Apollo. On the other hand, Brazell et al. (2006) state that the opt-out alternative fulfils the independence of irrelevant alternatives (IIA) property. If so, estimating a model for only the first stage choice would yield consistent estimates for the attribute preference parameters (beta). If we also wanted an alternative specific constant for the opt-out alternative, we could model both stages as a single one with all the alternatives (including the opt-out) at the same time.
Again, I do not know what approach Sawtooth Lighthouse Studio uses, but both approaches can be estimated in Apollo.
References:
Brazell, J.D.; Diener, C.G.; Karniouchina, E.; Moore, W.L.; Séverin, V. and Uldry, P-F. (2006) The no-choice option and dual response choice designs. Marketing Letters 17, 255 - 268.
I wasn't familiar with the "dual response none" approach, so I am basing my response on the description provided in this website. It basically state that -in the context of a stated preferences survey- the method consists in splitting each choice exercise in two stages: a forced choice between alternatives, followed by a binary choice between the selected alternative and an opt-out.
The webpage, however, does not state how the estimation is performed, making it difficult to reproduce the process in Apollo. On the other hand, Brazell et al. (2006) state that the opt-out alternative fulfils the independence of irrelevant alternatives (IIA) property. If so, estimating a model for only the first stage choice would yield consistent estimates for the attribute preference parameters (beta). If we also wanted an alternative specific constant for the opt-out alternative, we could model both stages as a single one with all the alternatives (including the opt-out) at the same time.
Again, I do not know what approach Sawtooth Lighthouse Studio uses, but both approaches can be estimated in Apollo.
- To estimate ignoring the opt-out in Apollo: Simply use an MNL considering only the first stage choices (the forced choice).
- To estimate the ASC of the opt-out in Apollo: Mix both stages in a single choice with all alternatives, and define the utility of the opt-out as a single constant (ASC). Estimate using a regular MNL model.
References:
Brazell, J.D.; Diener, C.G.; Karniouchina, E.; Moore, W.L.; Séverin, V. and Uldry, P-F. (2006) The no-choice option and dual response choice designs. Marketing Letters 17, 255 - 268.