Non-financial Derived Variables Wave 9

Takes some of the complex information relating to demographics, health and other circumstances contained across all the whole ELSA interview creates useful variables for analysis. It includes additional identifers, variables relating to children inside and outside the household, family type, labour market participation, summary pension variables, summary health variables, expectations and expenditure.

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Geographic Coverage:

GB

Temporal Coverage:

18-06/19-07

Age Coverage:

50+ years

Resource Type:

dataset

Study Design:

longitudinal

Available in Data Catalogs:

UK Longitudinal Linkage Collaboration: UK LLC

UK Longitudinal Linkage Collaboration: UK LLC
Topics: