Little is known about the payoffs to apprenticeship training in the German speaking countries for the participants. OLS estimates suggest that the returns are similar to those of other types of schooling. However, there is a lot of heterogeneity in the types of apprenticeships offered, and...

Little is known about the payoffs to apprenticeship training in the German speaking countries for the participants. OLS estimates suggest that the returns are similar to those of other types of schooling. However, there is a lot of heterogeneity in the quality of apprenticeships offered, and...

An increase over time in the proportion of young people obtaining a degree is likely to impact on the relative ability compositions (i) of graduates and non-graduates and (ii) across graduates with different classes of degree award. In a signalling framework, we examine the implications of this...

This paper presents the first UK estimates of the association between parental wealth during adolescence and a range of children’s outcomes in early adulthood. Parental wealth is positively associated with all outcomes examined (which include educational attainment, employment, earnings and...

With income distributions it is common to encounter the problem of missing data. When a parametric model is fitted to the data, the problem can be overcome by specifying the marginal distribution of the observed data. With classical methods of estimation such as the maximum likelihood (ML) an...

Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, containing nonstochastic explanatory variables and innovations suspected to be non-normal. The main stress is on the case of distribution of unknown, nonparametric, form, where series...

Inequality measures are often used to summarise information about empirical income distributions. However , the resulting picture of the distribution and of the changes in the distribution can be severely distorted if the data are contaminated. The nature of this distortion will in general...

We introduce a kernel-based estimator of the density function and regression function for data that have been grouped into family totals. We allow for a common intra-family component but require that observations from different families be in dependent. We establish consistency and asymptotic...

In this paper, I illustrate the additional information that can be prodivided in estimating the lower bound (Sutton 1991, 1998) by using quantile regression. Quantile regression allows us to invesigate the influence of outliers. Previous lower bound have been performed using the simplex method....