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
The impact of duration response measurement error is investigated by using small variance approximat...
It has long been an area of interest to consider a consistent estimation of nonlinear models with me...
After the publication of Nelson and Plosser\u27s (1982) influential paper, it has been a general acc...
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....
A model for measurement error is developed, based on the assumption that measurement error is random...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
We Analyze the consequences of three types of specification error from cumulative conditional distri...
This paper examines whether reported income and consumption generate biases for studies on income an...
We consider the implications of an alternative to the classical measurement-error model, in which th...
In this paper, we study nonclassical measurement error in the continuous dependent variable of a sem...
This paper considers measurement error from a new perspective. In surveys, response errors are often...
This paper studies the identification of coefficients in generalized linear predictors where the out...
Measures of inequality and mobility based on self-reported earnings reect attributes of both the joi...
It is well known that measurement error in a regressor is likely to cause the estimated coefficient ...
The impact of duration response measurement error is investigated by using small variance approximat...
It has long been an area of interest to consider a consistent estimation of nonlinear models with me...
After the publication of Nelson and Plosser\u27s (1982) influential paper, it has been a general acc...
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....
A model for measurement error is developed, based on the assumption that measurement error is random...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
We Analyze the consequences of three types of specification error from cumulative conditional distri...
This paper examines whether reported income and consumption generate biases for studies on income an...
We consider the implications of an alternative to the classical measurement-error model, in which th...
In this paper, we study nonclassical measurement error in the continuous dependent variable of a sem...
This paper considers measurement error from a new perspective. In surveys, response errors are often...
This paper studies the identification of coefficients in generalized linear predictors where the out...
Measures of inequality and mobility based on self-reported earnings reect attributes of both the joi...
It is well known that measurement error in a regressor is likely to cause the estimated coefficient ...
The impact of duration response measurement error is investigated by using small variance approximat...
It has long been an area of interest to consider a consistent estimation of nonlinear models with me...
After the publication of Nelson and Plosser\u27s (1982) influential paper, it has been a general acc...