1 / 20

Measuring living standards & poverty: income or expenditure?

Measuring living standards & poverty: income or expenditure?. Andrew Leicester Institute for Fiscal Studies andrew_l@ifs.org.uk. “… if we don’t raise the standard of living of the poorest people in Britain we will have failed as a government.” Tony Blair, 1997. Living standards.

taima
Télécharger la présentation

Measuring living standards & poverty: income or expenditure?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Measuring living standards & poverty:income or expenditure? Andrew Leicester Institute for Fiscal Studies andrew_l@ifs.org.uk

  2. “… if we don’t raise the standard of living of the poorest people in Britain we will have failed as a government.” Tony Blair, 1997

  3. Living standards • Comparisons over time – are we better off? • Comparisons over individuals / countries • Inequality • Poverty • Lots of measurement issues • Adjusting for living costs (inflation, PPP exchange rates) • Adjusting for family composition / national demography • What is the right indicator?

  4. Income?

  5. Income: advantages • Data widely available • Traditional measure of living standards • Strongly correlated to other indicators • Measure of ‘opportunities’ • People ‘maximise welfare’ • Choices over how income is used • Government influence • Tax and benefit system • Basis for e.g. poverty reduction targets

  6. Income: disadvantages • Measurement difficulties • Concealed income sources: survey design? • What counts as income? • Variability • Long run changes over life-cycle • Short run changes • ‘Permanent’ or ‘transitory’ income: is spending a better measure of living standards?

  7. Expenditure smoothing £ Spending Income Saving Using assets Borrowing Age

  8. Smoothing in practice • Evidence that expenditures are smoother than incomes over the life-cycle • Lack of data makes it hard to be sure • People do not perfectly smooth spending • Cannot always borrow and save • People make mistakes in their expectations • Some shocks are unexpected • We should be talking about consumption smoothing not expenditure • Consumption: flow of benefits from what we have • Important for e.g. durables, housing • Cannot observe consumption; need to estimate or just ignore

  9. Spending not problem free … • What should be included? • Housing costs, insurance costs, taxes … • Problems of expenditure surveys • Hard to record durables, “lumpy” expenditure • Under-recording of ‘sin’ items • EFS finds about ½ the spending on alcohol and tobacco recorded in National Accounts

  10. What do the data show? • Income and expenditures taken from FES/EFS between 1974 and 2005/6 • Measured in real terms (adjusted for RPI inflation), 2007 prices • Adjusted (‘equivalised’) for household composition • More people sharing a given income mean household is worse off • Different ways to equivalise, we use OECD scale • Income after housing costs (AHC) • FES P-codes, household-level net income • Expenditure excluding housing (rent, mortgage, council tax, water charges) • Expenditures mapped to RPI inflation categories back to 1974 • Housing costs calculated from FES B-codes

  11. Average income and spendingLiving standards rising over time Source: IFS calculations from FES/EFS data, 1974 – 2005/6

  12. Relative poverty: income and spending • Relative poverty – key government target • Child poverty targets for 2010 and 2020 • Pensioners have also been focus of policy • Poverty relative to average living standards • income: some people temporarily poor • “Poor” households • less than 60% of median income/spending • Poverty rate • fraction of population living in households below poverty line

  13. Poverty lines 2005/6 £/week

  14. Income and spending poverty ratesWhole population Source: IFS calculations from FES/EFS data, 1974 – 2005/6

  15. Income and spending poverty ratesChildren Source: IFS calculations from FES/EFS data, 1974 – 2005/6

  16. Income and spending poverty ratesPensioners Source: IFS calculations from FES/EFS data, 1974 – 2005/6

  17. Why do poverty rates differ? • Temporary low income • Maintain spending through borrowing or using savings • In 2002/3, self employed had income poverty rate of 23% and spending poverty rate of 13% • Those seeking work had income poverty rate of 70% and spending poverty rate of 50% • Income understates living standards? • Failing to spend income • Not “running down savings” as theory suggests: uncertainty in retirement? Saving to make bequests to children? • Retired households had income poverty rate of 22% and spending poverty rate of 33%. But housing important. • Income overstates living standards? • Measurement problems in both

  18. Low income, high spending?EFS 2001/2 – 2002/3 data Source: Brewer, Goodman and Leicester (2006)

  19. Policy conclusions? • Reductions in child/pensioner poverty not so clear if spending taken as measure • Increases in short-term incomes not feeding through into longer-term living standards? • Focus on very low income households may be misguided – may be transitory • Spending-based measures of living standards ought to be monitored regularly • Complement to but not replacement for income-based • Spending particularly important in developing world

  20. Data conclusions? • Income and spending both measured with errors, largely unavoidable • FES / EFS does relatively good job at measuring spending via diary and recall • Though worrying recent downward trend in ability to capture National Accounts expenditure aggregates • FES / EFS still does better than many comparable international surveys • Some data improvements desirable: • Relatively low sample size: hard to draw accurate interpretations for sub-groups of population • Good measure of spending but not consumption • Better information on housing and durable ownership helpful

More Related