An accuracy indicator is an observed variable which is related to the size of measurement error. Basic and extended models are introduced to represent the properties of a binary accuracy indicator. Under specified assumptions, it is shown that an accuracy indicator can identify a measurement error model. An approach to estimating a distribution function is presented together with methodology for variance estimation. The approach is applied to data on earnings from the British Household Panel Survey, where the accuracy indicator is whether or not a payslip is observed. A validation study provides justification for the modelling assumption
The text being offered is methodological micro-tribute to the theory of market reserarch, sociologic...
A model for measurement error is developed, based on the assumption that measurement error is random...
The mechanism(s) that generate measurement error matter to inference. Survey measurement error is ty...
Paradata refers here to data at unit level on an observed auxiliary variable, not usually of direct ...
The importance of measurement error for parameter estimation and for the design of statistical studi...
<p>Paradata refers here to data at unit level on an observed auxiliary variable, not usually of dire...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
It is well known that measurement error in observable variables induces bias in estimates in standar...
We propose a general framework for determining the extent of measurement error bias in OLS and IV es...
A measurement error model is a regression model with (substantial) measurement errors in the variabl...
Accuracy is only one of the dimensions in the broader context of quality that has been articulated i...
We consider the implications of an alternative to the classical measurement-error model, in which th...
Social science commonly studies relationships among variables by employing survey questions. Answers...
Measurement error is a pervasive problem in economics and other social and behavioral sciences. Esti...
To properly process data, we need to know the accuracy of different data points, i.e., accuracy of d...
The text being offered is methodological micro-tribute to the theory of market reserarch, sociologic...
A model for measurement error is developed, based on the assumption that measurement error is random...
The mechanism(s) that generate measurement error matter to inference. Survey measurement error is ty...
Paradata refers here to data at unit level on an observed auxiliary variable, not usually of direct ...
The importance of measurement error for parameter estimation and for the design of statistical studi...
<p>Paradata refers here to data at unit level on an observed auxiliary variable, not usually of dire...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
It is well known that measurement error in observable variables induces bias in estimates in standar...
We propose a general framework for determining the extent of measurement error bias in OLS and IV es...
A measurement error model is a regression model with (substantial) measurement errors in the variabl...
Accuracy is only one of the dimensions in the broader context of quality that has been articulated i...
We consider the implications of an alternative to the classical measurement-error model, in which th...
Social science commonly studies relationships among variables by employing survey questions. Answers...
Measurement error is a pervasive problem in economics and other social and behavioral sciences. Esti...
To properly process data, we need to know the accuracy of different data points, i.e., accuracy of d...
The text being offered is methodological micro-tribute to the theory of market reserarch, sociologic...
A model for measurement error is developed, based on the assumption that measurement error is random...
The mechanism(s) that generate measurement error matter to inference. Survey measurement error is ty...