Logitr: fast estimation of multinomial and mixed logit models with preference space and willingness-to-pay space utility parameterizations

HIGHLIGHTS

  • who: John Paul Helveston from the George Washington University have published the research: logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations, in the Journal: (JOURNAL)
  • what: The paper provides a discussion of some of the implications of each parameterization for WTP estimates.
  • how: This paper introduces the logitr R package for fast maximum likelihood estimation of multinomial logit and mixed logit models with unobserved heterogeneity across individuals which is modeled by allowing parameters vary randomly over individuals according a chosen distribution.
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