Modeling Consumer Demand for Variety

By Jaehwan Kim, Greg M. Allenby, Peter E. Rossi. 2002

445 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

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Citations in the corpus

Counterfactual inference for consumer choice across many product categories (2019, background): “…has been some progress on estimating multiple-discrete choice models in which consumers choose more than one of a single item (e.g. Hendel, 1999; Kim et al., 2002; Dub´e, 2004), however a substantial portion of the literature continues to focus on categories in which the unit-demand assumption…”
Multiple Discreteness and Product Differentiation: Demand for Carbonated Soft Drinks (2004, background): “An interesting feature of the random utility framework in the previous section is that it is a direct extension of the standard discrete choice models.”
Recent Progress on Endogeneity in Choice Modeling (2005, background): “Recently, Bhat (2005) has derived a model of multiple discreteness that assumes (like Kim et al., 2002) a translated non-linear, but additive, utility specification.”
Multi-category competition and market power: a model of supermarket pricing (2017, methodology): “Wales and Woodland (1982) and Kim et al. (2002). We estimate the model’s parameters using the generalized method of moments (GMM) rather than maximum likelihood.27 Both methods involve calculating the probability of the consumer making the observed shopping choice c, i.e. the expected value of (13).”
A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions (2005, methodology): “Specifically, based on Kim et al. (2002), we assume a translated non-linear, but additive, form for the specification of the utility function, which allows for multiple discreteness as well diminishing marginal returns (i.”
Quantifying the Long-Term Impact of Negative Word of Mouth on Cash Flows and Stock Prices (2009, background): “Mathematically, when computing coefficient estimates, GMM minimizes the quadratic form (Chintagunta and Desiraju 2005, Hansen 1982, Kim et al. 2002) argmin q = { m′W−1 m m= 1 N N∑ i−1 mi Y } (2) where W = an efficient weighting matrix specifying moment conditions, and Y is a vector of endogenous…”
Product Attributes and Models of Multiple Discreteness (2007, unknown): “Kim et al (2002) offered a utility-based model of demand along with a practical method of conducting likelihood-based inference for this model.”
Contemporary Bayesian Econometrics and Statistics (2005, methodology): “Models of this kind have been important in marketing and the success of methods like the ones described in this section; see, for example, Kim et al. (2003). Note that the second example produces a left-censored outcome, whereas the first produces a right-censored outcome.”
Structural Workshop Paper - Discrete-Choice Models of Consumer Demand in Marketing (2011, methodology): “0 (11) When all the s are normalized to 1, (10) collapses to specification similar to Kim et al. (2002):”
The multiple discrete-continuous extreme value (MDCEV) model : Role of utility function parameters, identification considerations, and model extensions (2008, methodology): “6 As we will show later, however, the utility form we adopt is behaviorally and observationally indistinguishable from those used in Bhat (2005) and Kim et al. (2002) if γk is normalized to 1 for all k and 0 < αk < = 1.”
A Multiple Discrete-Continuous Nested Extreme Value (MDCNEV) Model: Formulation and Application to Non-worker Activity Time-Use and Timing Behavior on Weekdays (2010, background): “In the recent econometric literature, several important choice situations, including grocery purchases (Kim et al., 2002), individual activity participation and time-use (Bhat, 2005; Srinivasan and Bhat, 2006; and Pinjari et al., 2009; Habib and Miller, 2009), household expenditure allocation…”