The confounding effects of consumer heterogeneity on model-based inference of attribute non-attendance
AbstractSeveral empirical studies conclude that a majority of economic agents ignore some of observed product attributes when choosing among discrete alternatives. Many of these ndings are based on latent class logit with partially constrained support points wherein the share of each point is interpreted as the probability of ignoring particular attribute(s). We note that because the logit kernel is mixed over these points to approximate unmodeled interpersonal taste variation during the estimation stage, the interpretation of estimated shares is necessarily ambiguous. Using simulated examples, we explain why common forms of unobserved consumer heterogeneity can be confounded with attribute non-attendance.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by School of Economics, The University of New South Wales in its series Discussion Papers with number 2012-47.
Length: 17 pages
Date of creation: Nov 2012
Date of revision:
Contact details of provider:
Postal: Australian School of Business Building, Sydney 2052
Fax: +61)-2- 9313- 6337
Web page: http://www.economics.unsw.edu.au/
More information through EDIRC
attribute non-attendance; gmnl; latent class; consumer heterogeneity; mixed logit; information processing rule;
Find related papers by JEL classification:
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-06-16 (All new papers)
- NEP-DCM-2013-06-16 (Discrete Choice Models)
- NEP-MKT-2013-06-16 (Marketing)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guillaume Roger) The email address of this maintainer does not seem to be valid anymore. Please ask Guillaume Roger to update the entry or send us the correct address.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.