Regression models for choice-based samples with misclassification in the response variable.
From MaRDI portal
Publication:1858913
DOI10.1016/S0304-4076(01)00094-XzbMath1043.62109OpenAlexW2145035418MaRDI QIDQ1858913
Publication date: 17 February 2003
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0304-4076(01)00094-x
score testsdiscrete choice modelsmisclassificationchoice-based samplinggeneralized method of moments estimation
Related Items (6)
Identification and estimation of nonlinear models with misclassification error using instrumental variables: a general solution ⋮ Partial identification of probability distributions with misclassified data ⋮ Combining micro and macro data in hedonic price indexes ⋮ Binary models with misclassification in the variable of interest and nonignorable nonresponse ⋮ Binary choice with misclassification and social interactions, with an application to peer effects in attitude ⋮ Multivariate functional principal component analysis for endogenously stratified data
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Misclassification of the dependent variable in a discrete-response setting
- Efficient estimation and stratified sampling
- Estimation of Response Probabilities From Augmented Retrospective Observations
- Exponential family non-linear models for categorical data with errors of observation
- Logistic disease incidence models and case-control studies
- Maximum Likelihood Estimator for Choice-Based Samples
- An Efficient Method of Moments Estimator for Discrete Choice Models With Choice-Based Sampling
- Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
- The Estimation of Choice Probabilities from Choice Based Samples
- Combining Micro and Macro Data in Microeconometric Models
- Asymptotic Properties of Weighted M-estimators for variable probability samples
- On robust estimation in logistic case-control studies
- Poisson Regression with Misclassified Counts: Application to Cervical Cancer Mortality Rates
This page was built for publication: Regression models for choice-based samples with misclassification in the response variable.