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In this paper we propose a new method of eliciting market research information. Instead of asking respondents for their personal choices and preferences, we ask respondents to predict the choices of other respondents to the survey. Such predictions tap respondents' knowledge of peers, whether based on direct social contacts or on more general cultural information. The effectiveness of this approach has already been demonstrated in the context of political polling. Here we extend it to market research, specifically, to conjoint analysis. An advantage of the new approach is that it can elicit reliable responses in situations where people are not comfortable with disclosing their true preferences, but may be willing to give information about people around them. A theoretical argument demonstrates that predictions should yield utility estimates that are more accurate. These theoretical results are confirmed in four online experiments., Competing Interests: The authors have declared that no competing interests exist.

A growing number of mergers and their potentially negative impacts on consumer welfare in the retailing sector have prompted discussion on how to define the boundaries of the relevant market. This article explores the boundaries of the geographic market of daily consumer goods through an examination of factors that influence shoppers' mobility in Croatia. The study takes into consideration the purpose of the trip and differentiates between major and fill-in shopping trips, and demonstrates that different factors impact the shopper mobility for each of the two shopping trips. It provides support for the practice of defining market boundaries empirically on the basis of region and store format specificities, taking into account prevalent shopping occasion, economic situation of the residents, size of the residential area, and geographical placement of the stores among other things. The study shows that the boundaries of the retail market may be more narrow than expected. [ABSTRACT FROM AUTHOR]