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Discrete Choice Models

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Showing 51–75 of 104 papers

TitleStatusHype
Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals—0
Semiparametric Bayesian Estimation of Dynamic Discrete Choice Models—0
Continuous permanent unobserved heterogeneity in dynamic discrete choice models—0
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation ModelingCode0
Efficient counterfactual estimation in semiparametric discrete choice models: a note on Chiong, Hsieh, and Shum (2017)—0
Yogurts Choose Consumers? Estimation of Random-Utility Models via Two-Sided Matching—0
Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting—0
The Limits of Personalization in Assortment Optimization—0
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice modelsCode0
Modeling and Analysis of Discrete Response Data: Applications to Public Opinion on Marijuana Legalization in the United States—0
On the estimation of discrete choice models to capture irrational customer behaviors—0
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition—0
Identification of Incomplete PreferencesCode0
Nested Pseudo Likelihood Estimation of Continuous-Time Dynamic Discrete Games—0
Identification of Average Marginal Effects in Fixed Effects Dynamic Discrete Choice Models—0
The unreasonable effectiveness of optimal transport in economics—0
Choice Set Confounding in Discrete ChoiceCode0
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds—0
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical SolutionCode0
Duality in dynamic discrete-choice models—0
The Refined Assortment Optimization Problem—0
Matching Function Equilibria with Partial Assignment: Existence, Uniqueness and Estimation—0
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark—0
Gaussian Process Latent Class Choice Models—0
Discrete Choice Analysis with Machine Learning Capabilities—0
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