Cover Image

Partial Identification of Binary Choice Models with Misreported Outcomes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mondal, Orville, Wang, Rui
Format:	Preprint
Published:	2024
Subjects:	Econometrics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Bayes Treatment Choice with Partial Identification
by: Fernández, Andrés Aradillas, et al.
Published: (2024)

Decision Theory for Treatment Choice Problems with Partial Identification
by: Olea, José Luis Montiel, et al.
Published: (2023)

Identification in Nonlinear Dynamic Panel Models under Partial Stationarity
by: Gao, Wayne Yuan, et al.
Published: (2023)

Endogeneity Corrections in Binary Outcome Models with Nonlinear Transformations: Identification and Inference
by: Mayer, Alexander, et al.
Published: (2024)

A Simple and Powerful Diagnostic Test for Binary Choice Models
by: Ji, Ting, et al.
Published: (2026)

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

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

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

Binary Outcome Models with Extreme Covariates: Estimation and Prediction
by: Liu, Laura, et al.
Published: (2025)

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

High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables
by: Ouyang, Fu, et al.
Published: (2023)

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

A Kernelization-Based Approach to Nonparametric Binary Choice Models
by: Yan, Guo
Published: (2024)

Semiparametric Identification of the Discount Factor and Payoff Function in Dynamic Discrete Choice Models
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)

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

Identification and Estimation of Partial Effects in Nonlinear Semiparametric Panel Models
by: Liu, Laura, et al.
Published: (2021)

Limit Regret in Binary Treatment Choice with Misspecified Plug-In Predictors and Decision Thresholds
by: Dominitz, Jeff, et al.
Published: (2025)

Causal Inference in High-Dimensional Generalized Linear Models with Binary Outcomes
by: Kong, Jing
Published: (2025)

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

Partial Identification of Causal Effects that Vary by Setting
by: Huntington-Klein, Nick
Published: (2026)

Nonparametric Treatment Effect Identification in School Choice
by: Chen, Jiafeng
Published: (2021)

Breakdown Analysis for Instrumental Variables with Binary Outcomes
by: Picchetti, Pedro
Published: (2025)

Partial Identification of the Valuation Distribution in Sequential English Auctions
by: Kim, Dongwoo, et al.
Published: (2026)

Partial Identification in Moment Models with Incomplete Data--A Conditional Optimal Transport Approach
by: Fan, Yanqin, et al.
Published: (2025)

Statistical Decisions and Partial Identification: With Application to Boundary Discontinuity Design
by: Qiu, Chen, et al.
Published: (2026)

Just Ask Them Twice: Choice Probabilities and Identification of Ex ante returns and Willingness-To-Pay
by: Meango, Romuald, et al.
Published: (2023)

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

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

The Partial Testimony of Logs: Evaluation of Language Model Generation under Confounded Model Choice
by: Jin, Jikai, 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)

Econometric Inference with Machine-Learned Proxies: Partial Identification via Data Combination
by: Li, Lixiong
Published: (2026)

Distributional Change in Ordinal Data with Missing Observations: Minimal Mobility and Partial Identification
by: Tabri, Rami V.
Published: (2026)

Coping with Inductive Risk When Theories are Underdetermined: Decision Making with Partial Identification
by: Manski, Charles F.
Published: (2026)

Partial Identification of Individual-Level Parameters Using Aggregate Data in a Nonparametric Model
by: Moon, Sarah
Published: (2024)

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

Sensitivity Analysis for Dynamic Discrete Choice Models
by: Lau, Chun Pong
Published: (2024)

Changes-in-Changes for Ordered Choice Models with Underreporting
by: Gutknecht, Daniel, et al.
Published: (2024)

Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: An Unconditional MTE Approach
by: Martinez-Iriarte, Julian, et al.
Published: (2020)

Partial Identification of Distributional Treatment Effects in Panel Data using Copula Equality Assumptions
by: Madigasekara, Heshani, et al.
Published: (2024)