Add to ORKGThe problem of estimating transition rates from longitudinal survey data in the presence of misclassification error is considered. Approaches which use external information on misclassification rates are reviewed, together with alternative models for measurement error. We define categorical instrumental variables and propose methods for the identification and estimation of models including such variables by viewing the model as a restricted latent class model. The numerical properties of the implied instrumental variable estimators of flow rates are studied using data from the Panel Study of Income Dynamics
Gross flows are discrete longitudinal data that are defined as transition counts, between a finite n...
Administrative data obtained from government registers provide a wealth of potential for the social ...
Misspecifications of econometric models can lead to biased coefficients and incorrect interpretation...
The problem of estimating transition rates from longitudinal survey data in the presence of misclass...
The use of longitudinal survey data in economic research is considered with special reference to the...
Classification error can lead to substantial biases in the estimation of gross flows from longitudin...
The paper focuses on one of the main longitudinal surveys conducted by the US Bureau of the Census, ...
The problem of analysing dynamics using panel data possibily affected by measurement error is outlin...
A logistic model relating the rates of transition between two states to a vector of covariates is co...
In this chapter, we use a model-based approach to adjusting observed gross flows for correlated clas...
Longitudinal survey data are widely used to study micro-level dynamics of social and economic phenom...
SIGLEAvailable from British Library Document Supply Centre- DSC:9349.2264(ESF-ESNHPS-WP--31) / BLDSC...
Gross flows among labour force states are of great importance in understanding labour market dynamic...
Longitudinal surveys provide a key source of information for analysing dynamic phenomena. Typical e...
Longitudinal surveys provide a key source of information for analyzing dynamic phenomena. Typical ex...
Gross flows are discrete longitudinal data that are defined as transition counts, between a finite n...
Administrative data obtained from government registers provide a wealth of potential for the social ...
Misspecifications of econometric models can lead to biased coefficients and incorrect interpretation...
The problem of estimating transition rates from longitudinal survey data in the presence of misclass...
The use of longitudinal survey data in economic research is considered with special reference to the...
Classification error can lead to substantial biases in the estimation of gross flows from longitudin...
The paper focuses on one of the main longitudinal surveys conducted by the US Bureau of the Census, ...
The problem of analysing dynamics using panel data possibily affected by measurement error is outlin...
A logistic model relating the rates of transition between two states to a vector of covariates is co...
In this chapter, we use a model-based approach to adjusting observed gross flows for correlated clas...
Longitudinal survey data are widely used to study micro-level dynamics of social and economic phenom...
SIGLEAvailable from British Library Document Supply Centre- DSC:9349.2264(ESF-ESNHPS-WP--31) / BLDSC...
Gross flows among labour force states are of great importance in understanding labour market dynamic...
Longitudinal surveys provide a key source of information for analysing dynamic phenomena. Typical e...
Longitudinal surveys provide a key source of information for analyzing dynamic phenomena. Typical ex...
Gross flows are discrete longitudinal data that are defined as transition counts, between a finite n...
Administrative data obtained from government registers provide a wealth of potential for the social ...
Misspecifications of econometric models can lead to biased coefficients and incorrect interpretation...