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A synthetic Longitudinal Study dataset for England and Wales
Adam Dennett1, Paul Norman2, Nicola Shelton3
1Centre for Advanced Spatial Analysis, University College London, United Kingdom.
Data in Brief
|September 23, 2016
Summary
A new synthetic dataset from the England and Wales Longitudinal Study (LS) is now available for research and education. This open-access data mimics real longitudinal transitions for teaching purposes.
Area of Science:
- Demography
- Social Statistics
- Data Science
Background:
- The United Kingdom has three Census-based longitudinal micro-datasets known as the Longitudinal Studies.
- The England and Wales Longitudinal Study (LS) samples 1% of the population, linking records from 1971 to 2011.
Purpose of the Study:
- To introduce a new synthetic "spine" dataset for the England and Wales Longitudinal Study (LS).
- To provide an open-access resource for teaching and experimentation with longitudinal data.
Main Methods:
- Creation of a synthetic dataset mirroring the size of the original LS data.
- Ensuring accurate longitudinal transitions for key demographic variables between 2001 and 2011.
Main Results:
- The synthetic LS dataset contains a comparable number of individuals to the original.
- Accurate longitudinal transitions for demographic variables are preserved between 2001 and 2011.
Conclusions:
- The synthetic LS dataset offers a valuable, open-access alternative for research and educational purposes.
- This resource facilitates the study of longitudinal population dynamics without compromising privacy.
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