Numerical Analysis of Effect of Sampling of Alternatives in Discrete Choice Models

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Modeling Micro-Level Crime Location Choice: Application of the Discrete Choice Framework to Crime at Places (2010, unknown): “Unfortunately, the proof that a random sample from the alternatives yields consistent parameters, depends on the IIA property (also see Nerella and Bhat 2004).”
Sampling of alternatives in Logit Mixture models (2013, methodology): “The first studies in the area are the articles by McConnel and Tseng (2000) and Nerella and Bhat (2004), who provided Monte Carlo evidence suggesting the suitability of a Naïve approach for sampling of alternatives in a random coefficients model.”
Modelling and mapping spatial heterogeneity in forest recreation services (2013, methodology): “They suggest using a minimum of 1/4 of the total choice set and recommend using 1/2when it is not possible to estimate themodels using the full choice set (Nerella and Bhat, 2004).”