Analyzing Subjective Well-Being Data with Misclassification
From MaRDI portal
Publication:6620898
DOI10.1080/07350015.2020.1865169zbMath1547.62868MaRDI QIDQ6620898
Unnamed Author, Sorawoot Srisuma
Publication date: 17 October 2024
Published in: Journal of Business and Economic Statistics (Search for Journal in Brave)
Cites Work
- Identification and estimation of nonlinear models with misclassification error using instrumental variables: a general solution
- Bootstrapping general empirical measures
- Semiparametric analysis of discrete response. Asymptotic properties of the maximum score estimator
- Median regression for ordered discrete response
- Rates of convergence for estimating regression coefficients in heteroskedastic discrete response models
- An MPEC estimator for misclassification models
- The econometrics of unobservables: applications of measurement error models in empirical industrial organization and labor economics
- Identification and Estimation of Regression Models with Misclassification
- Estimation When a Parameter is on a Boundary
- Inconsistency of the Bootstrap when a Parameter is on the Boundary of the Parameter Space
- Testing When a Parameter is on the Boundary of the Maintained Hypothesis
- Instrumental Variable Treatment of Nonclassical Measurement Error Models
- Measurement Error Models with Auxiliary Data
- Subjective wellbeing: why weather matters
This page was built for publication: Analyzing Subjective Well-Being Data with Misclassification
