Empirical Identification in the Mixed Logit Model: Analysing the Effect of Data Richness

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Sequential and Simultaneous Estimation of Hybrid Discrete Choice Models (2010, background): “In order to test the impact of the variability of the data on the estimated parameters, an aspect related to empirical identifiability and parameter recovery (25), the coefficient of variation (CV) of each truncated normal distribution was varied according to Table 3; for both differences the consid”
On the Treatment of Repeated Observations in Panel Data: Efficiency of Mixed Logit Parameter Estimates (2011, background): “Cherchi and Ortúzar (2008) analysed how the efficiency of the estimated parameters varied for RP and SP data.”