Expenditure and Consumption James Banks (UCL, IFS) Andrew Leicester (IFS) Motivation Utility / welfare depends on consumption rather than income Particularly important distinction for the elderly: Permanent Income Hypothesis – spending above income? Or spending below income? Uncertain lifespan / healthcare needs Bequests Retirement-Savings Puzzle Key policy interest Pensioner spending poverty higher than income poverty Fuel poverty Broad range of welfare indicators in ELSA Measurement Spending not consumption Information on durable ownership / replacement / expenditures Selected sample Each benefit unit contains an eligible ELSA sample member Full reporting of all expenditure items 6,557 people (2,908 males, 3,649 females) in 4,295 households Adjust for inflation and household composition No weighting Spending on what? Food In Clothing Fuel Food Out Key ‘necessities’ Restaurant meals, takeaway, canteens Leisure e.g. cinema, sport, fees/subscriptions, internet/cable, TV licence Cash transfers Incomplete measure of total spending Expenditure by age Food in Fuel Clothing Food out Leisure Transfers 125 £ per week 100 75 50 25 0 52-54 55-59 60-64 65-69 70-74 75-79 80+ All Necessities budget share by age Food in Fuel Clothing 40 Per cent 30 20 10 0 52-54 55-59 60-64 65-69 70-74 75-79 80+ All Necessities budget share by age / wealth Poorest 2nd quintile 3rd quintile 4th quintile Richest 40 Per cent 30 20 10 0 52-59 60-74 75 and over All Necessities budget share by age / wealth Poorest 2nd quintile 3rd quintile 4th quintile Richest 40 Per cent 30 20 10 0 52-59 60-74 75 and over All Necessities budget share by age / wealth Poorest 2nd quintile 3rd quintile 4th quintile Richest 40 Per cent 30 20 10 0 52-59 60-74 75 and over All Proportion of people making transfers, by age / wealth 3rd quintile 2nd quintile Poorest 4th quintile Richest 90 23 80 19 70 Per cent 11 18 9 19 26 17 33 14 15 11 12 60 50 24 25 10 9 9 11 9 40 30 20 10 0 52-59 60-74 75 and over All Proportion of people making transfers, by age / wealth 3rd quintile 2nd quintile Poorest 4th quintile Richest 90 23 80 19 70 Per cent 11 18 9 19 26 17 33 14 15 11 12 60 50 24 25 10 9 9 11 9 40 30 20 10 0 52-59 60-74 75 and over All 0 Dishwasher Digital TV DVD Computer Dryer CD M'wave VCR Washing Machine Freezer Landline TV Per cent Consumer durable ownership rates 100 80 60 40 20 Consumer durables Younger sample members more likely to own Little difference by wealth for TV, video, freezer, washing machine, microwave, landline phone, DVD player High replacement / purchase rates during previous 2 years for recent innovations or goods where technology changes Television (23%) Computer (23%) Digital TV (15%) DVD player (44%) Replacement rate invariant to wealth Wealthier households buy more expensive models Digital TV adoption, by age/sex Men Women 70 60 Per cent 50 40 30 20 10 0 52-54 55-59 60-64 65-69 70-74 75-79 80+ All “Fuel Poverty”, by age / sex Men Women 16 14 Per cent 12 10 8 6 4 2 0 52-54 55-59 60-64 65-69 70-74 75-79 80+ All “Fuel Poverty”, by age / CASP-19 tertile Lowest Middle Highest 16 14 Per cent 12 10 8 6 4 2 0 52-59 60-74 75 and over All “Fuel Poverty”, by age / CASP-19 tertile Lowest Middle Highest 16 14 Per cent 12 10 8 6 4 2 0 52-59 60-74 75 and over All Putting It Together … What are the key factors that influence spending? Need multivariate analysis … Lots of interesting questions we can ask Is there an independent role for wealth once we control for health? Does age matter once we control for labour market status? Low-spending pensioner households Why do pensioners spend less than their income: Uncertain longevity? Simple model controlling for wealth, health, age Pensioners who say they expect to live until old age spend same share of their income than those who say they are unlikely 1% increase in spending raises expectation of living to age 80 by more than 2 percentage points Bequest motive? Probability of leaving a bequest of £50,000 + has no independent effect on share of income spent Both very early findings but interesting (and puzzling!) Conclusions Expenditure / durables provide insight into economic well-being ‘Luxury’ spending items diminish strongly with age, ‘necessities’ less so Transfers to others an important part of the budget of many elderly households Spending positively correlated with other dimensions of wellbeing Danger of older / poorer pensioners being left behind in terms of new technologies Much interesting work that can be done! Key interest in collecting longitudinal data on spending: changing patterns around retirement and as pensioners age Expenditure and Consumption James Banks (UCL, IFS) Andrew Leicester (IFS)
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