Rethinking Distributional IVs: KAN-Powered D-IV-LATE & Model Choice
Fuente:
arXiv
Saved in:
| Main Author: | Shaw, Charles |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Extrapolating LATE with Weak IVs
by: Ren, Muyang
Published: (2025)
by: Ren, Muyang
Published: (2025)
Identification with possibly invalid IVs
by: Bruneel-Zupanc, Christophe, et al.
Published: (2024)
by: Bruneel-Zupanc, Christophe, et al.
Published: (2024)
Don't (fully) exclude me, it's not necessary! Causal inference with semi-IVs
by: Bruneel-Zupanc, Christophe
Published: (2023)
by: Bruneel-Zupanc, Christophe
Published: (2023)
When Should We (Not) Interpret Linear IV Estimands as LATE?
by: Słoczyński, Tymon
Published: (2020)
by: Słoczyński, Tymon
Published: (2020)
A Simple and Powerful Diagnostic Test for Binary Choice Models
by: Ji, Ting, et al.
Published: (2026)
by: Ji, Ting, et al.
Published: (2026)
srvar-toolkit: A Python Implementation of Shadow-Rate Vector Autoregressions with Stochastic Volatility
by: Shaw, Charles
Published: (2025)
by: Shaw, Charles
Published: (2025)
Identification-robust inference for the LATE with high-dimensional covariates
by: Ma, Yukun
Published: (2023)
by: Ma, Yukun
Published: (2023)
Machine Learning Debiasing with Conditional Moment Restrictions: An Application to LATE
by: Argañaraz, Facundo, et al.
Published: (2024)
by: Argañaraz, Facundo, et al.
Published: (2024)
Dynamic Discrete-Continuous Choice Models: Identification and Conditional Choice Probability Estimation
by: Bruneel-Zupanc, Christophe
Published: (2025)
by: Bruneel-Zupanc, Christophe
Published: (2025)
Limit Regret in Binary Treatment Choice with Misspecified Plug-In Predictors and Decision Thresholds
by: Dominitz, Jeff, et al.
Published: (2025)
by: Dominitz, Jeff, et al.
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)
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)
A Decision Theoretic Perspective on Artificial Superintelligence: Coping with Missing Data Problems in Prediction and Treatment Choice
by: Dominitz, Jeff, et al.
Published: (2025)
by: Dominitz, Jeff, et al.
Published: (2025)
Sensitivity Analysis for Dynamic Discrete Choice Models
by: Lau, Chun Pong
Published: (2024)
by: Lau, Chun Pong
Published: (2024)
Changes-in-Changes for Ordered Choice Models with Underreporting
by: Gutknecht, Daniel, et al.
Published: (2024)
by: Gutknecht, Daniel, et al.
Published: (2024)
Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting
by: Tsubota, Taiga
Published: (2021)
by: Tsubota, Taiga
Published: (2021)
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)
Bundle Choice Model with Endogenous Regressors: An Application to Soda Tax
by: Sun, Tao
Published: (2024)
by: Sun, Tao
Published: (2024)
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)
Semiparametric Estimation of Dynamic Binary Choice Panel Data Models
by: Ouyang, Fu, et al.
Published: (2022)
by: Ouyang, Fu, et al.
Published: (2022)
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)
Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces
by: Chen, Ertian
Published: (2025)
by: Chen, Ertian
Published: (2025)
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)
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)
Slope Consistency of Quasi-Maximum Likelihood Estimator for Binary Choice Models
by: Chang, Yoosoon, et al.
Published: (2025)
by: Chang, Yoosoon, et al.
Published: (2025)
Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks
by: Lu, Zhentong, et al.
Published: (2025)
by: Lu, Zhentong, et al.
Published: (2025)
High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables
by: Ouyang, Fu, et al.
Published: (2023)
by: Ouyang, Fu, et al.
Published: (2023)
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)
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 Semiparametric Panel Multinomial Choice Models with Infinite-Dimensional Fixed Effects
by: Gao, Wayne Yuan, et al.
Published: (2020)
by: Gao, Wayne Yuan, et al.
Published: (2020)
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)
Optimal Policy Choices Under Uncertainty
by: Moon, Sarah
Published: (2025)
by: Moon, Sarah
Published: (2025)
Equilibrium-Constrained Estimation of Recursive Logit Choice Models
by: Tran, Hung, et al.
Published: (2025)
by: Tran, Hung, et al.
Published: (2025)
Constrained Recursive Logit for Route Choice Analysis
by: Tran, Hung, et al.
Published: (2025)
by: Tran, Hung, et al.
Published: (2025)
Robust Bayes Treatment Choice with Partial Identification
by: Fernández, Andrés Aradillas, et al.
Published: (2024)
by: Fernández, Andrés Aradillas, et al.
Published: (2024)
Similar Items
-
Extrapolating LATE with Weak IVs
by: Ren, Muyang
Published: (2025) -
Identification with possibly invalid IVs
by: Bruneel-Zupanc, Christophe, et al.
Published: (2024) -
Don't (fully) exclude me, it's not necessary! Causal inference with semi-IVs
by: Bruneel-Zupanc, Christophe
Published: (2023) -
When Should We (Not) Interpret Linear IV Estimands as LATE?
by: Słoczyński, Tymon
Published: (2020) -
A Simple and Powerful Diagnostic Test for Binary Choice Models
by: Ji, Ting, et al.
Published: (2026)