Unpaid carers during the pandemic
This analysis explores who the unpaid carers are during the second wave of the pandemic, their state of health and how they have been able to manage their own health through accessing healthcare services
User deposited syntax
Below you will find syntax files provided by other researchers who have used Understanding Society data. Please note that these syntax files have not been checked for accuracy and you should contact the author of the file if you have any queries. If you have syntax that you would like to share here please contact the user support team.
Comparative Panel File
Open-source code that integrates individual and household panel data from all seven surveys into a harmonised three-level data structure
Long-term depression
The syntax files which were used to create the variables used in this analysis are Simister_syntaxfile_1 and Simister_syntaxfile_2, to be run in that order
Merging indresp and hhresp files
Merges the household file with the individual file for all waves; it then merges these wave-specific merged files into a wide-format dataframe, sets up the variable names so that they will work with reshape, and then completes the reshape from wide to long.
Fertility projection model
Combining individual- and population-level data to develop a Bayesian parity-specific fertility projection model
Working-Life Histories
This project contains files for creating work-life histories for participants in the BHPS and UKHLS
Loss of work hours (Covid)
Stata syntax to create some variables related to work hour loss using UKHLS Covid-19 survey data
Compiling multiple waves
Tools for compiling multiple waves of Understanding Society into one tidy data frame
Migrant lives
Constructing a migration and life dataset using Understanding Society
Housing insecurity histories
Capturing the housing insecurity histories of each responding adult in Understanding Society.
Transition to adulthood
Events marking the transition from childhood to adulthood for different cohorts of children in the UK
Creating a coastal/rural/urban classification
Exploring different health outcomes in the context of place.
Frailty Index
Constructed using items across different domains in Understanding Society.
Creating UK General Election Variables
The code creates UK general election (GE) variables for 2010, 2015, 2017, and 2019. The variable for 2015 is adjusted for minor inconsistencies in missing values.
Future Expectations amongst Young People in the United Kingdom: Prevalence and Patterns across Generations and Socioeconomic Groups
This study investigates the future expectations of 16-year-olds in the United Kingdom to understand how these aspirations are shaped by socioeconomic factors and predict future life outcomes.