Selection Correction in Panel Data Models: An Application to Labour Supply and Wages
Christian Dustmann, María Engracia Rochina Barrachina
Abstract
Open-access reader
Christian Dustmann, María Engracia Rochina Barrachina
Abstract
Open-access reader
'In recent years a number panel estimators have been suggested for sample selection models, where both the selection equation and the equation of interest contain individual effects which are correlated with the explanatory variables. We review and compare some of these estimators, and apply them to estimating the return to actual labour market experience for females, using a panel of twelve years. All these estimators rely on the assumption of strict exogeneity of regressors in the equation of interest, conditional on individual specific effects and the selection mechanism. This assumption is likely to be violated in many applications. Also, life history variables are often measured with error in survey data sets, because they contain a retrospective component. We show how hon-strict exogeneity and measurement error can be taken into account within the estimation methods discussed.' (author's abstract)
OpenAlex reports 41 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
'In recent years a number panel estimators have been suggested for sample selection models, where both the selection equation and the equation of interest contain individual effects which are correlated with the explanatory variables. We review and compare some of these estimators, and apply them to estimating the return to actual labour market experience for females, using a panel of twelve years. All these estimators rely on the assumption of strict exogeneity of regressors in the equation of interest, conditional on individual specific effects and the selection mechanism. This assumption is likely to be violated in many applications. Also, life history variables are often measured with error in survey data sets, because they contain a retrospective component. We show how hon-strict exogeneity and measurement error can be taken into account within the estimation methods discussed.' (author's abstract)
Key concepts: Endogeneity, Estimator, Panel data, Econometrics, Selection (genetic algorithm), Model selection, Economics, Sample (material)