Using longitudinal data from the British National Child Development Study, this paper examines ge... more Using longitudinal data from the British National Child Development Study, this paper examines gender differences in the determinants of work-related training. The analysis covers a crucial decade in the working lives of the 1958 birth cohort of young men and women – the years spanning the ages 23 to 33. Hurdle negative binomial models are used to estimate the number of work-related training events lasting at least three days. This approach takes into account the fact that more than one-half of the men and two-thirds of the women in the sample experienced no work-related training lasting three or more days over the period 1981–91. Our analysis suggests that reliance on work-related training to improve the skills of the work-force will result in an increase in the skills of the already educated, but will not improve the skills of individuals entering the labour market with relatively low levels of education.
We propose various semiparametric estimators for nonlinear selection models, where slope and inte... more We propose various semiparametric estimators for nonlinear selection models, where slope and intercept can be separately identifed. When the selection equation satisfies a monotonic index restriction, we suggest a local polynomial estimator, using only observations for which the marginal distribution of instrument index is close to one. Such an estimator achieves a univariate nonparametric rate, which can range from a cubic to an `almost' parametric rate. We then consider the case in which either the monotonic index restriction does not hold and/ or the set of observations with propensity score close to one is thin so that convergence occurs at most at a cubic rate. We explore the finite sample behaviour in a Monte Carlo study, and illustrate the use of our estimator using a model for count data with multiplicative unobserved heterogeneity.
Using longitudinal data from the British National Child Development Study, this paper examines ge... more Using longitudinal data from the British National Child Development Study, this paper examines gender differences in the determinants of work-related training. The analysis covers a crucial decade in the working lives of the 1958 birth cohort of young men and women – the years spanning the ages 23 to 33. Hurdle negative binomial models are used to estimate the number of work-related training events lasting at least three days. This approach takes into account the fact that more than one-half of the men and two-thirds of the women in the sample experienced no work-related training lasting three or more days over the period 1981–91. Our analysis suggests that reliance on work-related training to improve the skills of the work-force will result in an increase in the skills of the already educated, but will not improve the skills of individuals entering the labour market with relatively low levels of education.
We propose various semiparametric estimators for nonlinear selection models, where slope and inte... more We propose various semiparametric estimators for nonlinear selection models, where slope and intercept can be separately identifed. When the selection equation satisfies a monotonic index restriction, we suggest a local polynomial estimator, using only observations for which the marginal distribution of instrument index is close to one. Such an estimator achieves a univariate nonparametric rate, which can range from a cubic to an `almost' parametric rate. We then consider the case in which either the monotonic index restriction does not hold and/ or the set of observations with propensity score close to one is thin so that convergence occurs at most at a cubic rate. We explore the finite sample behaviour in a Monte Carlo study, and illustrate the use of our estimator using a model for count data with multiplicative unobserved heterogeneity.
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Papers by Wiji Arulampalam