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Review. Sample designWave one questionnaire contentOther survey characteristics. Sample . Aim: Achieved 32,000 households at wave oneAll adults aged 16 in householdSpread over two years: July 2006 to June 2008Oversampling wealthyAll responding households re-interviewed at wave two after two
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1. Note change of anem for the filed – we do not actually have 2 separate surveys!Note change of anem for the filed – we do not actually have 2 separate surveys!
2. Review Sample design
Wave one questionnaire content
Other survey characteristics
3. Sample Aim: Achieved 32,000 households at wave one
All adults aged 16+ in household
Spread over two years: July 2006 to June 2008
Oversampling wealthy
All responding households re-interviewed at wave two after two-year gap
Note: DTI interest in debt issues Note: DTI interest in debt issues
4. Wave one questionnaire content (1) Assets
Accounts and investments
Pension schemes
Property, household goods, vehicles
Business assets
Trusts
Children’s savings
Debts
Mortgages and loans secured on main residence
Equity release
Credit and store cards, hire purchase, loans
Arrears on household bills and other payments
Hopefully can skip through these details – people should be familiar with the content of wealth surveys?
But trying to be comprehensive – note importance of private pensions in UK context.Hopefully can skip through these details – people should be familiar with the content of wealth surveys?
But trying to be comprehensive – note importance of private pensions in UK context.
5. Wave one questionnaire content (2) Income
Earnings, benefits, pensions, other regular income
Inheritances, lifetime gifts, other lump sums
Behaviours and attitudes
Saving and borrowing
Saving for retirement, pension sources
Financial management, expectations
Attitudes to risk
Classificatory
Household composition, ethnicity, tenure
Economic activity and education
Health and caring
As well as value of assets etc also collecting info on attitudes etcAs well as value of assets etc also collecting info on attitudes etc
6. Other survey characteristics Linkage to administrative data
Linkage to employer data
Sub-sample of 1,500 households most in debt re-interviewed after one year
7. Update Wave one
Monitoring response
Dissemination plans
Editing and imputation
Some early results
Wave two
Questionnaire development
8. Monitoring Response: 1st 6-9 months
9. Dissemination plansEarly results December 07
Have first quarter frequencies for validation
Publishing from year one data in December on ONS website
Top line results
No imputation of missing data
Mid points taken
Need to consider priorities for early results and caveats
Main report Spring 09
No plans as yet.
10. Editing and Imputation Interviewer checks are ongoing
Limited validation against other sources
Not imputing missing data until year 2
Temporarily planning to use mid points of bands for banded responses. More sophisticated methodology to be considered for final data set
11. Some really early results – not weighted etc etc. 6% of households have 2nd properties
Of over 40 year olds - 70% think they will get at least half of what they currently have now. 45% think they’ll get two thirds or more..
32% of people always have money in their purse at the end of the week/month, 45% keep it in their current accounts and 9% spend it.
27% always or nearly always run out of money at the end of the week/month and they borrow from friends, cut back on spending and get overdrafts
For around half of the savers their main reason for saving is for unexpected expenditures, and while they also saved for retirement this was less important.
Of the third who had not saved in the last 3 months, just 26% intended to save in the next 12 months
12. Risk averse or wrong questions? £1000 or one in 5 chance of winning ten thousand - what would you choose?
77% £1000
14% £10,000
£1000 today or £1100 next year - what would you choose?
78% £1000 today,
20% £1,100.1k next year
Should we keep these?
13. Wave 2 development
14. Suggested changes Drop some classificatory questions
Try to identify reasons for increases/decreases in assets – however can’t do this for each asset.
Try to identify savings behaviour and changes
Try to identify large expenditures – how? as % of income, what absolute cut off point?
Identify key life events that initiate saving/spending
Monitor whether or not intention to save has resulted in actual behavioural change and why not.
Try to identify churn in debt/saving
Questions on parental socio-economic position
15. Wealth and Assets Timetable
16. Contact details Elaine.chamberlain@ons.gsi.gov.uk
Angela.Donkin@dwp.gsi.gov.uk