Conditional logit analysis of qualitative choice behavior

By Daniel McFadden. 1972

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Citations in the corpus

Variational Autoencoders for Collaborative Filtering (2018, methodology): “Despite being widely used in language modeling and economics [5, 30], multinomial likelihoods appear less studied in the collaborative filtering literature, particularly within the context of latent-factor models.”
Counterfactual inference for consumer choice across many product categories (2019, methodology): “ 1978): once estimated, a model of user utility can be used to analyze counterfactual scenarios, such as the impact of a change in price or of the introduction of an existing product to a new market. McFadden (1974) also highlighted strong assumptions implicit in using o-the-shelf multinomial choice”
Panel Data Discrete Choice Models of Consumer Demand (2013, methodology): “Such ad hoc smoothing will induce bias in the simulator, as noted by McFadden (1989).”
Prospect Theory as Efficient Perceptual Distortion (2012, background): “Because the subjective perception of value is stochastic, choice is predicted to be intrinsically stochastic, as has long been observed in experiments, even in the absence of any random variations in utility (of the kind used, for example, by Daniel McFadden 1974 to explain stochastic choice).”
Valuing genetic resources in peasant economies: the case of ‘hairless’ creole pigs in Yucatan (2003, methodology): “The econometric analyses of the CE data followed the well-known random utility (RU) interpretation of multinomial logit analysis of qualitative choices (McFadden 1974).”
Understanding Reference-Price Shoppers: A Within- and Cross-Category Analysis (2001, methodology): “We then can write the choice probabilities conditional on θ and ϕi as (McFadden 1974) A household’s probability of making the sequence of purchases Dijt, conditional on θ and ϕi, is ( ) ( ) exp ( ) exp ( ) .11 1 Probdijt dijt dikt k J V V θ ϕ θ ϕ θ ϕ , , , i i i = { } { } = ∑ ( )10 2 3 4 5 6 7 8…”
Identification of Social Interactions (2011, background): “An especially nice example is Mas and Moretti (2009), who employ a data set that measures supermarket employee productivity in 10-min intervals.”
Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach (2002, methodology): “The conditional logit model, developed by McFadden (1974) , can be utilized to estimate these probabilities if the random terms are assumed to be independently distributed Type-I extreme value variates.”
PSEUDO-R 2 IN LOGISTIC REGRESSION MODEL (2006, background): “Many different R2 statis- tics have been proposed in the past three decades (see, e.g., McFadden (1973), McKelvey and Zavoina (1975), Maddala (1983), Agresti (1986), Nagelkerke (1991), Cox and Wermuch (1992), Ash and Shwartz (1999), Zheng and Agresti (2000)).”
A Tractable Approach to the Firm Location Decision Problem (2003, unknown): “The popularity of this approach resides in the fact that the resulting econometric specification is obtained directly from the framework of random utility (profit) maximization developed by McFadden (1974).”