A Multiple Discrete-Continuous Nested Extreme Value (MDCNEV) Model: Formulation and Application to Non-worker Activity Time-Use and Timing Behavior on Weekdays

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Modelling the effects of COVID-19 on travel mode choice behaviour in India (2020, background): “MDCEV models, first proposed by Bhat (2005) and extended in different directions (Bhat, 2008; Castro et al., 2012; Enam et al., 2018; Pinjari and Bhat, 2010) simultaneously estimates the discrete and continuous components of the choices.”
Exploring Variation Properties of Time Use Behavior on the Basis of a Multilevel Multiple Discrete–Continuous Extreme Value Model (2010, methodology): “The scalability of the MDCEV model is very similar to that of the multinomial logit model: mixed logit type extension (11, 12), nested logit (25), and panel mixed logit (26).”
Are Poor Cities Cheap for Everyone? Non-Homotheticity and the Cost of Living Across U.S. Cities (2013, background): “…purchase behavior (see, e.g., Hendel (1999); Dube (2004)) or explicitly modeling consumer’s discretecontinuous preferences over modules (see, e.g., Song and Chintagunta (2007); Pinjari and Bhat (2010)), would be difficult to estimate given the dimensions of the problem that this paper addresses.”