Multiple hypothesis testing in conjoint analysis

HIGHLIGHTS

  • who: Guoer, Liu and URL, shiraito.github.io from the https://doiorg/101017/pan2022., Published online by Cambridge University Press have published the article: Multiple Hypothesis Testing in Conjoint Analysis, in the Journal: (JOURNAL)
  • what: The authors show how conclusions drawn from empirical analysis may differ with and without correction by reanalyzing applications on public attitudes toward immigration and partner countries of trade agreements. The authors show that under a classic conjoint setup the standard analysis pipeline produces at least one statistically significant AMCE estimate in more than 90% of experimental trials even when all . . .

     

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