The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models

By Chandra R. Bhat. 2011

199 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

View Paper: https://www.semanticscholar.org/paper/66a1bc9f3843d0857ea9b323e6f349a585f0fdf0

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Citations in the corpus

Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review (2014, methodology): “To be sure, recent techniques proposed and implemented by Bhat and his colleagues (Bhat, 2011; Paleti, Bhat, & Pendyala, 2013; Paleti, Bhat, Pendyala, & Goulias, 2013; Paleti et al., 2013) circumvent the need to employ simulation for the computation of MNP models.”
A New Generalized Heterogeneous Data Model (GHDM) to Jointly Model Mixed Types of Dependent Variables (2015, methodology): “Thus, the MACML approach of Bhat (2011) is used.”
Latent class structures: taste heterogeneity and beyond (2014, background): “…this chapter focusses solely on continuous mixed logit rather than probit (cf. Daganzo, 1979), which is seeing a resurgence thanks to the work by Bhat (2011); Bhat and Sidharthan (2011) - many of the same distinctions discussed here apply to probit, albeit that the distributional assumptions…”
A latent variable representation of count data models to accommodate spatial and temporal dependence: application to predicting crash frequency at intersections (2011, methodology): “…to the optimization routine, then computing Σ , and finally picking off the appropriate elements of the matrix for the pairwise 6 As indicated by Bhat (2011), there needs to be a balance here between the number of sets of pairings…”
The Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models (2014, methodology): “While there are several ways to implement this, Bhat (2011) suggests overlaying the spatial region under consideration with a square grid providing a total of Q~ internal and external nodes.”
A simulation evaluation of the maximum approximate composite marginal likelihood (MACML) estimator for mixed multinomial probit models (2011, methodology): “(2) For each data set s, estimate the standard errors (s.e.) (using the Godambe estimator; see Bhat, 2011a).”
Consumer preferences and willingness to pay for advanced vehicle technology options and fuel types (2015, methodology): “Therefore, this study utilizes the MACML estimation method proposed by Bhat (2011).”
Joint Analysis of Injury Severity of Drivers in Two-Vehicle Crashes Accommodating Seat Belt Use Endogeneity (2013, background): “…1991, Hajivassiliou and McFadden, 1998, and Keane, 1994), but by enhancing it through the use of Halton draws rather than pseudo-random draws (see Bhat, 2011 and Bhat et al., 2010 for extensive discussions of alternative approaches to evaluate the MVNCD function, including a detailed discussion…”
A New Estimation Approach to Integrate Latent Psychological Constructs in Choice Modeling (2014, methodology): “So, the Maximum Approximate Composite Marginal Likelihood (MACML) approach of Bhat (2011), in which the likelihood function only involves the computation of univariate and bivariate cumulative distributive functions, is used in this paper.”