A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data

By Terry Elrod, Michael P. Keane. 1995

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Citations in the corpus

Counterfactual inference for consumer choice across many product categories (2019, background): “Empirical applications have also typically focused on a single category, such as laundry detergent (Elrod and Keane (1995) and Chintagunta (1994)).”
Panel Data Discrete Choice Models of Consumer Demand (2013, background): “These ideas are the basis of the ―market mapping‖ literature that uses panel data to determine the location of brands in a latent attribute space (see Elrod (1988), Elrod and Keane (1995), Keane (1997)).”
Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice (2003, unknown): “Unlike the case of the more general unordered discrete choice model (see Elrod and Keane, 1995; Ben Akiva et al., 2001), without further restrictions on the distribution of εW , we cannot identify the factors generating εW using only choice data.”
Multilevel logistic regression for polytomous data and rankings (2003, background): “Elrod and Keane (1995) considered a probit version for first choices, imposing (2) = I and (2) = κI ,w here κ is a scalar parameter.”
Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour (2011, background): “In this restrictive approach (Figure 1c), the observed choices are the only indicators used, and therefore the latent attributes are alternative specific and do not vary among individuals in a market segment (see for example: Elrod, (1988); Elrod and Keane, (1995)).”
Discrete Choice Models with Multiple Unobserved Choice Characteristics (2007, unknown): “The idea of specifying such a model goes back at least to McFadden (1981), but only a few papers have followed this approach (e.g. Elrod and Keane, 1995, Harris and Keane, 1999; Keane, 1997, 2004; Goettler and Shachar, 2001).”
Balancing Profitability and Customer Welfare in a Supermarket Chain (2003, methodology): “We use a parsimonious factor-analytic approach for the covariance matrix of brand preferences, as is typically used with individual data (Elrod, 1988; Chintagunta, 1994; Elrod and Keane, 1995) as well as with aggregate data (Chintagunta et al.”
Spatial Competition in the Network Television Industry (2001, background): “More recently, Elrod and Keane (1995) and Chintagunta (1994) estimate product characteristics using panel data on laundry detergent purchases .”
The Dynamic Effect of Innovation on Market Structure (2004, background): “Modeling of market response in dynamic environments (e.g., markets with brand introductions) leads to several key challenges: nonstationarity, changes in parameters over time, missing data, and cross-sectional heterogeneity.”