Identification of dynamic binary response models
From MaRDI portal
Publication:6090557
DOI10.1016/j.jeconom.2023.105515MaRDI QIDQ6090557
Maria Ponomareva, Shakeeb Khan, Elie Tamer
Publication date: 17 November 2023
Published in: Journal of Econometrics (Search for Journal in Brave)
Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)
Cites Work
- Handbook of econometrics. Volume 2
- Semiparametric analysis of discrete response. Asymptotic properties of the maximum score estimator
- Efficient estimation of dynamic panel data models: Alternative assumptions and simplified estimation
- Sharpness in randomly censored linear models
- Semiparametric identification in panel data discrete response models
- Binary choice models with discrete regressors: identification and misspecification
- Identification of panel data models with endogenous censoring
- Average and Quantile Effects in Nonseparable Panel Models
- Sharp Identification Regions in Models With Convex Moment Predictions
- Bounds on Parameters in Panel Dynamic Discrete Choice Models
- Semiparametric Analysis of Random Effects Linear Models from Binary Panel Data
- Panel Data Discrete Choice Models with Lagged Dependent Variables
- Bayesian inference in a class of partially identified models
- Generalized Instrumental Variable Models
- Estimating Semi-Parametric Panel Multinomial Choice Models Using Cyclic Monotonicity
- Selection Without Exclusion
- Inference on semiparametric multinomial response models
- Nonparametric Inference on State Dependence in Unemployment
- Exclusion Restrictions in Dynamic Binary Choice Panel Data Models: Comment on “Semiparametric Binary Choice Panel Data Models Without Strictly Exogenous Regressors”
- Cross Section and Panel Data Estimators for Nonseparable Models with Endogenous Regressors
- Semiparametric Binary Choice Panel Data Models Without Strictly Exogeneous Regressors
- Estimation of a Censored Dynamic Panel Data Model
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Identification of dynamic binary response models