Sensitivity Analysis for Dynamic Discrete Choice Models
Fuente:
arXiv
Saved in:
| Main Author: | Lau, Chun Pong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Combining Clusters for the Approximate Randomization Test
by: Lau, Chun Pong
Published: (2025)
by: Lau, Chun Pong
Published: (2025)
Cluster-robust inference with a single treated cluster using the t-test
by: Lau, Chun Pong, et al.
Published: (2025)
by: Lau, Chun Pong, et al.
Published: (2025)
Dynamic Discrete-Continuous Choice Models: Identification and Conditional Choice Probability Estimation
by: Bruneel-Zupanc, Christophe
Published: (2025)
by: Bruneel-Zupanc, Christophe
Published: (2025)
Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting
by: Tsubota, Taiga
Published: (2021)
by: Tsubota, Taiga
Published: (2021)
Sequential Estimation of Dynamic Discrete Choice Models with Unobserved Heterogeneity
by: Chen, Ertian, et al.
Published: (2026)
by: Chen, Ertian, et al.
Published: (2026)
Training Neural Networks Embedded in Dynamic Discrete Choice Models
by: Oguz, Ecenur, et al.
Published: (2026)
by: Oguz, Ecenur, et al.
Published: (2026)
Conditional Choice Probability Estimation of Dynamic Discrete Choice Models with 2-period Finite Dependence
by: Hao, Yu, et al.
Published: (2024)
by: Hao, Yu, et al.
Published: (2024)
Reinforcement Learning Based Computationally Efficient Conditional Choice Simulation Estimation of Dynamic Discrete Choice Models
by: Khwaja, Ahmed, et al.
Published: (2026)
by: Khwaja, Ahmed, et al.
Published: (2026)
Identifying Present-Biased Discount Functions in Dynamic Discrete Choice Models
by: Abbring, Jaap H., et al.
Published: (2025)
by: Abbring, Jaap H., et al.
Published: (2025)
Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces
by: Chen, Ertian
Published: (2025)
by: Chen, Ertian
Published: (2025)
Semiparametric Discrete Choice Models for Bundles
by: Ouyang, Fu, et al.
Published: (2023)
by: Ouyang, Fu, et al.
Published: (2023)
Semiparametric Discrete Choice Models for Bundles
by: Ouyang, Fu, et al.
Published: (2023)
by: Ouyang, Fu, et al.
Published: (2023)
Semiparametric Identification of the Discount Factor and Payoff Function in Dynamic Discrete Choice Models
by: Hao, Yu, et al.
Published: (2025)
by: Hao, Yu, et al.
Published: (2025)
Identification of Average Marginal Effects in Fixed Effects Dynamic Discrete Choice Models
by: Aguirregabiria, Victor, et al.
Published: (2021)
by: Aguirregabiria, Victor, et al.
Published: (2021)
Identification and Estimation of Continuous-Time Dynamic Discrete Choice Games
by: Blevins, Jason R.
Published: (2025)
by: Blevins, Jason R.
Published: (2025)
Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models
by: Hetzenecker, Stephan, et al.
Published: (2024)
by: Hetzenecker, Stephan, et al.
Published: (2024)
Bounds on Average Effects in Discrete Choice Panel Data Models
by: Pakel, Cavit, et al.
Published: (2023)
by: Pakel, Cavit, et al.
Published: (2023)
The Use of Binary Choice Forests to Model and Estimate Discrete Choices
by: Chen, Ningyuan, et al.
Published: (2019)
by: Chen, Ningyuan, et al.
Published: (2019)
Leveraging Uniformization and Sparsity for Estimation and Computation of Continuous Time Dynamic Discrete Choice Games
by: Blevins, Jason R.
Published: (2024)
by: Blevins, Jason R.
Published: (2024)
Revisiting Panel Data Discrete Choice Models with Lagged Dependent Variables
by: Dobronyi, Christopher R., et al.
Published: (2023)
by: Dobronyi, Christopher R., et al.
Published: (2023)
Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks
by: Lu, Zhentong, et al.
Published: (2025)
by: Lu, Zhentong, et al.
Published: (2025)
The Mixed Aggregate Preference Logit Model: A Machine Learning Approach to Modeling Unobserved Heterogeneity in Discrete Choice Analysis
by: Forsythe, Connor R., et al.
Published: (2024)
by: Forsythe, Connor R., et al.
Published: (2024)
Universal Inference for Incomplete Discrete Choice Models
by: Kaido, Hiroaki, et al.
Published: (2025)
by: Kaido, Hiroaki, et al.
Published: (2025)
Efficient and Accessible Discrete Choice Experiments: The DCEtool Package for R
by: Pérez-Troncoso, Daniel
Published: (2025)
by: Pérez-Troncoso, Daniel
Published: (2025)
Demand and Welfare Analysis in Discrete Choice Models with Social Interactions
by: Bhattacharya, Debopam, et al.
Published: (2019)
by: Bhattacharya, Debopam, et al.
Published: (2019)
RUM-NN: A Neural Network Model Compatible with Random Utility Maximisation for Discrete Choice Setups
by: Bagheri, Niousha, et al.
Published: (2025)
by: Bagheri, Niousha, et al.
Published: (2025)
Discrete Choice with Endogenous Peer Selection
by: Kashaev, Nail, et al.
Published: (2025)
by: Kashaev, Nail, et al.
Published: (2025)
Semiparametric Estimation of Dynamic Binary Choice Panel Data Models
by: Ouyang, Fu, et al.
Published: (2022)
by: Ouyang, Fu, et al.
Published: (2022)
An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model
by: Kang, Enoch H., et al.
Published: (2025)
by: Kang, Enoch H., et al.
Published: (2025)
Bayesian Deep Learning for Discrete Choice
by: Villarraga, Daniel F., et al.
Published: (2025)
by: Villarraga, Daniel F., et al.
Published: (2025)
A Lecture Note on Offline RL and IRL, Part II: Foundations of Inverse Reinforcement Learning and Dynamic Discrete Choice Models
by: Kang, Enoch Hyunwook
Published: (2026)
by: Kang, Enoch Hyunwook
Published: (2026)
Constrained Recursive Logit for Route Choice Analysis
by: Tran, Hung, et al.
Published: (2025)
by: Tran, Hung, et al.
Published: (2025)
High Dimensional Discrete Choice Models With Interactive Fixed Effects Applied to Causal Inference
by: Ye Chen, et al.
Published: (2025)
by: Ye Chen, et al.
Published: (2025)
Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
by: Huch, Easton, et al.
Published: (2026)
by: Huch, Easton, et al.
Published: (2026)
Changes-in-Changes for Ordered Choice Models with Underreporting
by: Gutknecht, Daniel, et al.
Published: (2024)
by: Gutknecht, Daniel, et al.
Published: (2024)
Auditing and Fixing Economic Validity in Tabular Foundation Models for Discrete Choice
by: Wang, Yingshuo, et al.
Published: (2026)
by: Wang, Yingshuo, et al.
Published: (2026)
Partial Identification of Binary Choice Models with Misreported Outcomes
by: Mondal, Orville, et al.
Published: (2024)
by: Mondal, Orville, et al.
Published: (2024)
Using SVM to Estimate and Predict Binary Choice Models
by: Chang, Yoosoon, et al.
Published: (2026)
by: Chang, Yoosoon, et al.
Published: (2026)
Sensitivity Analysis in Unconditional Quantile Effects
by: Martinez-Iriarte, Julian
Published: (2023)
by: Martinez-Iriarte, Julian
Published: (2023)
Sensitivity Analysis for Treatment Effects in Difference-in-Differences Models using Riesz Representation
by: Bach, Philipp, et al.
Published: (2025)
by: Bach, Philipp, et al.
Published: (2025)
Similar Items
-
Combining Clusters for the Approximate Randomization Test
by: Lau, Chun Pong
Published: (2025) -
Cluster-robust inference with a single treated cluster using the t-test
by: Lau, Chun Pong, et al.
Published: (2025) -
Dynamic Discrete-Continuous Choice Models: Identification and Conditional Choice Probability Estimation
by: Bruneel-Zupanc, Christophe
Published: (2025) -
Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting
by: Tsubota, Taiga
Published: (2021) -
Sequential Estimation of Dynamic Discrete Choice Models with Unobserved Heterogeneity
by: Chen, Ertian, et al.
Published: (2026)