Multiple Discreteness and Product Differentiation: Demand for Carbonated Soft Drinks

By Jean-Pierre Dubé. 2004

304 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

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Citations in the corpus

On Brands and Word of Mouth (2013, background): “To justify the costs of creating differentiation, scholars have attempted to explore their benefits and discuss conditions under which differentiation should be pursued (Bronnenberg 2008; Dubé 2004; Schmalensee 1982).”
Communication Strategies and Product Line Design (2004, background): “This confusion about the benefits could possibly lead to consumers buying multiple products (e.g., Guo 2003, Dube 2004 ).”
Valuing New Goods in a Model with Complementarity: Online Newspapers (2007, unknown): “Moreover, a positive correlation of the Post and post.com random effects would predict that an individual who read only the Post in the last twenty-four hours should be relatively more likely to have read the post.com in the last five days.”
Does Uncertainty Matter? Consumer Behavior Under Three-Part Tariffs (2007, unknown): “(Kim, Allenby and Rossi 2002; Dube 2004; Chan 2003; Hendel 1999).”
A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions (2005, methodology): “Hendel (1999) and Dube (2004) consider the purchase of multiple varieties within a particular product category as the result of a stream of expected (but unobserved to the analyst) future consumption decisions between successive shopping occasions (see also Walsh, 1995).”
Structural Modeling in Marketing: Review and Assessment (2006, background): “Studies by Eckstein et al. (1988), Erdem and Keane (1996), Anand and Shachar (2002), Ching (2002), Ackerberg (2003), and Crawford and Shum (2003) address quality uncertainty, assuming consumers to be forward looking, taking into account how the value of information obtained through a trial purchase ”
Retail forecasting: Research and practice (2019, background): “For example, there is usually strong support that the sales of soft drinks are 25 higher when the weather is hot (e.g., Cooper et al., 1999; Dubé, 2004).”
Distributional and Efficiency Impacts of Increased US Gasoline Taxes (2009, methodology): “To account for different households owning different quantities of cars, we adopt a variation of Hendel (1999) and Dube’s (2004) repeated discrete-continuous framework.”
Does Merger Simulation Work? Evidence from the Swedish Analgesics Market (2016, background): “10Hendel (1999) and Dubé (2004) estimate multiple-discrete choice models with micro-level data, where consumers can buy multiple units as well as multiple products. not buy one unit of their preferred product (perfectly inelastic conditional demand), but rather a constant expenditure (unit elastic…”
The multiple discrete-continuous extreme value (MDCEV) model : Role of utility function parameters, identification considerations, and model extensions (2008, methodology): “4 As illustrated in Kim et al. (2002) and Bhat (2005), the presence of the translation parameters makes the indifference curves strike the consumption axes at an angle (rather than being asymptotic to the consumption axes), thus allowing corner solutions.”