Adaptive Randomization in Conjoint Survey Experiments

Jennah Gosciak, Daniel Molitor and Ian Lundberg
Additional contact information
Ian Lundberg: Cornell University

No 69y2j_v1, SocArXiv from Center for Open Science

Abstract: Human choices are often multi-dimensional. For example, a person deciding which of two immigrants is more worthy of admission to a country might weigh the prospective immigrants' education, age, country of origin, and employment history. Conjoint experiments have rapidly generated new insight into these multidimensional choices. By independently randomizing the attributes of a pair of fictitious profiles, researchers summarize the average contribution that each attribute makes to an overall choice. But what if the effect of one attribute depends on the values of other attributes? We present a method that uses data-adaptive experimentation to search for heterogeneity in the effect of one focal attribute as a function of all other attributes. Our empirical application of this method shows that U.S. adults weigh the education of an immigrant much more heavily for certain immigrants than for others. By targeting the heterogeneous effects of a focal attribute, our approach complements conjoint designs that target the average effects of all attributes.

Date: 2025-04-30
New Economics Papers: this item is included in nep-dcm
References: Add references at CitEc
Citations:

Downloads: (external link)
https://osf.io/download/68114cde67bf11e2d73cbe82/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:69y2j_v1

DOI: 10.31219/osf.io/69y2j_v1

Access Statistics for this paper

More papers in SocArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().