Imagen de Portada

Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hetzenecker, Stephan, Osterhaus, Maximilian
Formato:	Preprint
Publicado:	2024
Materias:	Econometrics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Sparse Grid Approach for the Nonparametric Estimation of High-Dimensional Random Coefficient Models
por: Osterhaus, Maximilian
Publicado: (2024)

Sequential Estimation of Dynamic Discrete Choice Models with Unobserved Heterogeneity
por: Chen, Ertian, et al.
Publicado: (2026)

Reinforcement Learning Based Computationally Efficient Conditional Choice Simulation Estimation of Dynamic Discrete Choice Models
por: Khwaja, Ahmed, et al.
Publicado: (2026)

Dynamic Discrete-Continuous Choice Models: Identification and Conditional Choice Probability Estimation
por: Bruneel-Zupanc, Christophe
Publicado: (2025)

Conditional Choice Probability Estimation of Dynamic Discrete Choice Models with 2-period Finite Dependence
por: Hao, Yu, et al.
Publicado: (2024)

The Use of Binary Choice Forests to Model and Estimate Discrete Choices
por: Chen, Ningyuan, et al.
Publicado: (2019)

Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks
por: Lu, Zhentong, et al.
Publicado: (2025)

The Mixed Aggregate Preference Logit Model: A Machine Learning Approach to Modeling Unobserved Heterogeneity in Discrete Choice Analysis
por: Forsythe, Connor R., et al.
Publicado: (2024)

Bayesian Deep Learning for Discrete Choice
por: Villarraga, Daniel F., et al.
Publicado: (2025)

Semiparametric Discrete Choice Models for Bundles
por: Ouyang, Fu, et al.
Publicado: (2023)

Semiparametric Discrete Choice Models for Bundles
por: Ouyang, Fu, et al.
Publicado: (2023)

Identification and Estimation of Continuous-Time Dynamic Discrete Choice Games
por: Blevins, Jason R.
Publicado: (2025)

Sensitivity Analysis for Dynamic Discrete Choice Models
por: Lau, Chun Pong
Publicado: (2024)

Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting
por: Tsubota, Taiga
Publicado: (2021)

Leveraging Uniformization and Sparsity for Estimation and Computation of Continuous Time Dynamic Discrete Choice Games
por: Blevins, Jason R.
Publicado: (2024)

Bounds on Average Effects in Discrete Choice Panel Data Models
por: Pakel, Cavit, et al.
Publicado: (2023)

Training Neural Networks Embedded in Dynamic Discrete Choice Models
por: Oguz, Ecenur, et al.
Publicado: (2026)

Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces
por: Chen, Ertian
Publicado: (2025)

Identifying Present-Biased Discount Functions in Dynamic Discrete Choice Models
por: Abbring, Jaap H., et al.
Publicado: (2025)

Revisiting Panel Data Discrete Choice Models with Lagged Dependent Variables
por: Dobronyi, Christopher R., et al.
Publicado: (2023)

Semiparametric Identification of the Discount Factor and Payoff Function in Dynamic Discrete Choice Models
por: Hao, Yu, et al.
Publicado: (2025)

Identification of Average Marginal Effects in Fixed Effects Dynamic Discrete Choice Models
por: Aguirregabiria, Victor, et al.
Publicado: (2021)

Universal Inference for Incomplete Discrete Choice Models
por: Kaido, Hiroaki, et al.
Publicado: (2025)

Using SVM to Estimate and Predict Binary Choice Models
por: Chang, Yoosoon, et al.
Publicado: (2026)

Efficient and Accessible Discrete Choice Experiments: The DCEtool Package for R
por: Pérez-Troncoso, Daniel
Publicado: (2025)

Semiparametric Estimation of Dynamic Binary Choice Panel Data Models
por: Ouyang, Fu, et al.
Publicado: (2022)

RUM-NN: A Neural Network Model Compatible with Random Utility Maximisation for Discrete Choice Setups
por: Bagheri, Niousha, et al.
Publicado: (2025)

Discrete Choice with Endogenous Peer Selection
por: Kashaev, Nail, et al.
Publicado: (2025)

Slope Consistency of Quasi-Maximum Likelihood Estimator for Binary Choice Models
por: Chang, Yoosoon, et al.
Publicado: (2025)

Heterogeneity, Uncertainty and Learning: Semiparametric Identification and Estimation
por: Bunting, Jackson, et al.
Publicado: (2024)

Equilibrium-Constrained Estimation of Recursive Logit Choice Models
por: Tran, Hung, et al.
Publicado: (2025)

Sharp and Robust Estimation of Partially Identified Discrete Response Models
por: Khan, Shakeeb, et al.
Publicado: (2023)

Identification and Estimation of Network Models with Nonparametric Unobserved Heterogeneity
por: Zeleneev, Andrei
Publicado: (2026)

Kernel Choice Matters for Local Polynomial Density Estimators at Boundaries
por: Imai, Shunsuke, et al.
Publicado: (2023)

Semiparametric Estimation of Individual Coefficients in a Dyadic Link Formation Model Lacking Observable Characteristics
por: Stephan, L. Sanna
Publicado: (2024)

Bayesian Estimation of Panel Models under Potentially Sparse Heterogeneity
por: Moon, Hyungsik Roger, et al.
Publicado: (2023)

High Dimensional Discrete Choice Models With Interactive Fixed Effects Applied to Causal Inference
por: Ye Chen, et al.
Publicado: (2025)

IV Estimation of Heterogeneous Spatial Dynamic Panel Models with Interactive Effects
por: Chen, Jia, et al.
Publicado: (2025)

Two-Way Mean Group Estimators for Heterogeneous Panel Models with Fixed T
por: Lu, Xun, et al.
Publicado: (2025)

Estimation of Latent Group Structures in Time-Varying Panel Data Models
por: Haimerl, Paul, et al.
Publicado: (2025)