Identification of parameters in normal error component logit-mixture (NECLM) models

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Latent class structures: taste heterogeneity and beyond (2014, background): “A mathematically equivalent specification, referred to as error components logit (cf. Walker et al., 2007), uses the random terms to capture phenomenae such as correlation between alternatives or choices, as well as heteroscedasticity.”
Foundations of Stated Preference Elicitation: Consumer Behavior and Choice-based Conjoint Analysis (2019, methodology): “…models, using MSL rather than MSS, are Ben-Akiva et al. (1993), Revelt and Train (1998), Train (1998,1999, 2007, 2009), Brownstone and Train (1999), Brownstone, Bunch, and Train (2000), Chesher and Santos-Silva (2002), Hensher and Green (2002), Train and Sonnier (2005), and Walker et al. (2007).”
Latent lifestyle preferences and household location decisions (2007, methodology): “These two issues can be addressed by incorporating three error components in a logit mixture model for panel data (see Walker et al. 2006, for discussion of specification and identification issues).”