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 di¤ers throughout the support of the distribution. We illustrate the practical importance of these results using models of unemployment duration and income.Distribution functions,Non-classical measurement error,
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...
We propose a general framework for determining the extent of measurement error bias in OLS and IV es...
This paper analyzes the consequences of non-classical measurement error for distributional analysis....
This paper examines whether reported income and consumption generate biases for studies on income an...
A model for measurement error is developed, based on the assumption that measurement error is random...
We Analyze the consequences of three types of specification error from cumulative conditional distri...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
Measures of inequality and mobility based on self-reported earnings reect attributes of both the joi...
In this paper, we study nonclassical measurement error in the continuous dependent variable of a sem...
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...
It is well known that measurement error in a regressor is likely to cause the estimated coefficient ...
This paper studies the identification of coefficients in generalized linear predictors where the out...
After the publication of Nelson and Plosser\u27s (1982) influential paper, it has been a general acc...
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...
We propose a general framework for determining the extent of measurement error bias in OLS and IV es...
This paper analyzes the consequences of non-classical measurement error for distributional analysis....
This paper examines whether reported income and consumption generate biases for studies on income an...
A model for measurement error is developed, based on the assumption that measurement error is random...
We Analyze the consequences of three types of specification error from cumulative conditional distri...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
Measures of inequality and mobility based on self-reported earnings reect attributes of both the joi...
In this paper, we study nonclassical measurement error in the continuous dependent variable of a sem...
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...
It is well known that measurement error in a regressor is likely to cause the estimated coefficient ...
This paper studies the identification of coefficients in generalized linear predictors where the out...
After the publication of Nelson and Plosser\u27s (1982) influential paper, it has been a general acc...
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...
We propose a general framework for determining the extent of measurement error bias in OLS and IV es...