Our research

Generations

We undertake multidisciplinary research on issues that affect all our lives: child development, education, social mobility, health and wellbeing, families and family life, and ageing. We also conduct research into survey methods, and applied statistical methods.

Our applied statistical methods programme specialises in methods for dealing with attrition, causal identification, and data harmonisation.

Our research helps tackle some of the key challenges we face in our society today.

To find out more, explore the links below.

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Completed

Does the language of 11-year-olds predict their future?

For this project the research team used machine learning tools to explore whether essays written by 11-year-olds in 1969 provided clues to their economic status, physical activity, health, and cognitive function in later life.

Completed

Parental wealth in childhood and its relationship with children’s development and predictors of wealth in adult life

Using data from three of our cohort studies, this project aimed to understand how parents’ long-term financial position shapes their children’s outcomes from an early stage. This was part of the Cross Cohort Research Programme.

Completed

Cross Cohort Research Programme

Using data from three of our cohort studies, this project aimed to understand how parents’ long-term financial position shapes their children’s outcomes from an early stage. This was part of the Cross Cohort Research Programme.

Completed

In-work poverty and retirement attitudes among a cohort born in 1958

The aim of this project was to explore retirement-related attitudes, aspirations, expectations, and plans for retirement among adults in their mid to late 50s.

Completed
Completed

Schooling and unequal outcomes in youth and adulthood

This major ESRC project addressed the role of schooling in determining educational attainment, occupational outcomes and social mobility.

Contact us

Centre for Longitudinal Studies
UCL Social Research Institute

20 Bedford Way
London WC1H 0AL

Email: clsdata@ucl.ac.uk

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