Inference in downstream analysis using individual-level posterior means from mixed logit models

Citation

Campbell D, Sandorf ED, Börger T & Dekker T (2026) Inference in downstream analysis using individual-level posterior means from mixed logit models. Journal of Choice Modelling, 60, Art. No.: 100624. https://doi.org/10.1016/j.jocm.2026.100624

Abstract
Mixed logit models are widely used to recover individual-level preferences for secondary analysis, yet both first-stage sampling uncertainty and variability in conditional distributions are often overlooked. This technical note illustrates the implications of ignoring these sources of uncertainty and provides reproducible R code, compatible with the apollo package, to better approximate the empirical sampling distribution and improve the reliability of second-stage inference.

Keywords
Mixed logit; Second-stage inference; Conditional distibutions; Preference heterogeneity; Bootstrap simulation

Journal
Journal of Choice Modelling: Volume 60

• Published