We seek to quantify the role of education as a mechanism through which family background affects earnings. To this end, we propose a generalisation of statistical 'mediation analysis'. In our approach, the treatment and mediator can be multidimensional. This allows us to directly and flexibly...

We examine the effect of survey measurement error on the empirical relationship between child mental health and personal and family characteristics, and between child mental health and educational progress. Our contribution is to use unique UK survey data that contains (potentially biased)...

We examine the effect of survey measurement error on the empirical relationship between child mental health and personal and family characteristics, and between child mental health and educational progress. Our contribution is to use unique UK survey data that contains (potentially biased)...

We use rich data on a cohort of English adolescents to analyse the long-term effects of experiencing bullying victimisation in junior high school. The data contain self-reports of five types of bullying and their frequency, for three waves of the data, when the pupils were aged 13 to 16 years....

We use rich data on a cohort of English adolescents to analyse the long-term effects of experiencing bullying victimisation in junior high school. The data contain self-reports of five types of bullying and their frequency, for three waves of the data, when the pupils were aged 13 to 16 years....

We examine the effect of survey measurement error on the empirical relationship between child mental health and personal and family characteristics, and between child mental health and educational progress. Our contribution is to use unique UK survey data that contains (potentially biased)...

We examine the effect of survey measurement error on the empirical relationship between child mental health and personal and family characteristics, and between child mental health and educational progress. Our contribution is to use unique UK survey data that contains (potentially biased)...