The multiple discrete-continuous extreme value (MDCEV) model : Role of utility function parameters, identification considerations, and model extensions

By Chandra R. Bhat. 2008

505 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment, Transportation

View Paper: https://www.semanticscholar.org/paper/2a1b487515ad311aebf6aa01a0aa33c7262c900d

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Citations in the corpus

Exploring Variation Properties of Time Use Behavior on the Basis of a Multilevel Multiple Discrete–Continuous Extreme Value Model (2010, methodology): “Given values of β , γ j ih, γ j h, γ j d, γ j s, and η j ihds, the following conditional probability is derived [model derivation processes are given by Bhat (11, 12)]:”
Residential self-selection effects in an activity time-use behavior model (2009, background): “The stochastic KT first order conditions for the above Lagrangian function can be written as (Bhat, 2008):”
A Multiple Discrete-Continuous Nested Extreme Value (MDCNEV) Model: Formulation and Application to Non-worker Activity Time-Use and Timing Behavior on Weekdays (2010, methodology): “For the empirical model estimation, we considered various estimable forms of the general utility function in Equation (1) proposed by Bhat (2008).”
Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application (2019, methodology): “apollo_mdcev allows the user to estimate the Multiple Discrete Continuous Extreme Value (MDCEV) model (Bhat, 2008), where no restriction are imposed on the profile to be used and where the model can be used with or without an outside good.”
Structural Workshop Paper - Discrete-Choice Models of Consumer Demand in Marketing (2011, methodology): “Alternatively, one could use the speci cations in Kim et al. (2002) or in Bhat (2008).”
Consumer preferences and willingness to pay for advanced vehicle technology options and fuel types (2015, methodology): “For this reason, k is reparameterized as k [1 exp( k )] (Bhat, 2008).”
A discrete–continuous model of households’ vehicle choice and usage, with an application to the effects of residential density (2008, methodology): “In the MDCEV model as proposed by Bhat (2006), households’ utility stems from choosing make/model l of class k, which contains a total of Nk number of make/model.”
Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review (2014, methodology): “To account for such multiple discrete-continuous choice situations, a parsimonious econometric framework termed as the multiple discrete continuous extreme value (MDCEV) model was proposed by Bhat (2005) and extended in Bhat (2008).”
The Impact of Demographics, Built Environment Attributes, Vehicle Characteristics, and Gasoline Prices on Household Vehicle Holdings and Use (2009, methodology): “…types, given that the household will travel during the year), and using algebraic manipulations, the Kuhn-Tucker conditions may be written as (see, Bhat, 2008): * 1 * 1 if m 0 ( 2,3,... ) if m 0 k k k k H H k K H H ⎫= > ⎪ =⎬ = ⎪⎭ , (3) where 1 ),1ln()1(ln}{max * ≥+−++= ∈ kmWH kkklkNlk k αα…”
Modelling the effects of COVID-19 on travel mode choice behaviour in India (2020, methodology): “…of using MDCEV framework is that one can incorporate diminishing marginal utility (satiation) in the consumption (frequency of usage) of an alternative (Bhat, 2008) although the satiation parameters have been kept constant across alternatives in this study for better interpretation of the model.”