Ranked-choice conjoint experiments produce AMCE estimates equivalent to forced-choice designs but with 12-55% smaller standard errors depending on the number of ranked profiles, recommending four profiles per vignette.
Proposition 1(Unbiasedness of AMCE under rank expansion).Under Assumptions 1 and 2, the OLS estimator applied to the rank-expanded dataset{(˜Yipp′,X p,X p′)}recovers the AMCE
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Ranked-choice conjoint experiments
Ranked-choice conjoint experiments produce AMCE estimates equivalent to forced-choice designs but with 12-55% smaller standard errors depending on the number of ranked profiles, recommending four profiles per vignette.