Add to ORKGThis paper analyzes the consequences of non-classical measurement error for distributional analysis. We show that for a popular set of distributions negative correlation between the measurement error (u) and the true value (y) may reduce the bias in the estimated distribution at every value of y*. For other distributions the impact of non-classical measurement differs throughout results using models of unemployment duration and income
Measures of inequality and mobility based on self-reported earnings reflect attributes of both the j...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
It has long been an area of interest to consider a consistent estimation of nonlinear models with me...
This paper analyzes the consequences of non-classical measurement error for distributional analysis....
This paper analyzes the consequences of non-classical measurement error for distributional analysis....
Measures of inequality and mobility based on self-reported earnings reect attributes of both the joi...
This paper examines whether reported income and consumption generate biases for studies on income an...
It is well known that measurement error in a regressor is likely to cause the estimated coefficient ...
This paper considers measurement error from a new perspective. In surveys, response errors are often...
We consider the implications of an alternative to the classical measurement-error model, in which th...
This paper considers measurement error from a new perspective. In surveys, response errors are often...
A model for measurement error is developed, based on the assumption that measurement error is random...
We propose a general framework for determining the extent of measurement error bias in OLS and IV es...
This paper studies the identification of coefficients in generalized linear predictors where the out...
Zero correlation between measurement error and model error has been assumed in existing panel data m...
Measures of inequality and mobility based on self-reported earnings reflect attributes of both the j...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
It has long been an area of interest to consider a consistent estimation of nonlinear models with me...
This paper analyzes the consequences of non-classical measurement error for distributional analysis....
This paper analyzes the consequences of non-classical measurement error for distributional analysis....
Measures of inequality and mobility based on self-reported earnings reect attributes of both the joi...
This paper examines whether reported income and consumption generate biases for studies on income an...
It is well known that measurement error in a regressor is likely to cause the estimated coefficient ...
This paper considers measurement error from a new perspective. In surveys, response errors are often...
We consider the implications of an alternative to the classical measurement-error model, in which th...
This paper considers measurement error from a new perspective. In surveys, response errors are often...
A model for measurement error is developed, based on the assumption that measurement error is random...
We propose a general framework for determining the extent of measurement error bias in OLS and IV es...
This paper studies the identification of coefficients in generalized linear predictors where the out...
Zero correlation between measurement error and model error has been assumed in existing panel data m...
Measures of inequality and mobility based on self-reported earnings reflect attributes of both the j...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
It has long been an area of interest to consider a consistent estimation of nonlinear models with me...