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……………………………………………………………………………………………..

2014, year of the
pay rise?
Matthew Whittaker, Resolution Foundation
David Smith, Sunday Times
John Philpott, The Jobs Economist
Nicola Smith, TUC
Ian Stewart, Deloitte
Gavin Kelly, Resolution Foundation (chair)
4 February 2014

…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages
Making sense of pay data

……………………………………………………………………………………………………..

• Range of pay measures with sometimes conflicting messages

• Depends in part on coverage. Two key measures are:
– Average Weekly Earnings (monthly release, employer
survey, based on aggregate paybill data)
– Annual Survey of Hours and Earnings (annual release,
employer survey, directly reported pay)
• Depends also on the inflation rate used. Choices include:
– CPI (excludes mortgage costs)
– RPI (includes mortgage costs, but flawed methodology)
– CPIH (includes estimate of owner occupied housing costs)
– RPIJ (same coverage as RPI, but uses accepted method)
…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages
Variations on the wage squeeze

……………………………………………………………………………………………………..
According to
the ONS
Average
Weekly
Earnings
measure,
pay has
fallen in real
terms for
most of the
past five
years

…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages
Variations on the wage squeeze

……………………………………………………………………………………………………..
Annual
snapshot
provided by
ASHE
presents a
similar
picture, but
with some
variation
Comparison
suggests
situation
has
deteriorated
since latest
ASHE data
…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages
Variations on the wage squeeze

……………………………………………………………………………………………………..
Under range
of
alternative
wage (LFS,
AEI, AWE &
ASHE) and
inflation
(RPI, CPI &
CPIH)
measures,
the spread
of outcomes
is broad, but
the general
trend is
largely
unchanged
…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages
Variations on the wage squeeze

……………………………………………………………………………………………………..
With less
volatility
when bonus
payments
are excluded
Reflecting
the growing
importance
of bonuses
and
reactions to
changes in
the
additional
(50p) tax
rate
…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages
Beyond average earnings

……………………………………………………………………………………………………..
But the
average can
hide
variation
across the
earnings
distribution
And by
worker type

…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages
Beyond average earnings

……………………………………………………………………………………………………..
But the
average can
hide
variation
across the
earnings
distribution
And by
worker type

…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages
Beyond average earnings

……………………………………………………………………………………………………..
But the
average can
hide
variation
across the
earnings
distribution
And by
worker type

…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages
Beyond average earnings

……………………………………………………………………………………………………..
But the
average can
hide
variation
across the
earnings
distribution
And by
worker type

…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages
Beyond average earnings

……………………………………………………………………………………………………..
And none
of the
employee
data
takes
account
of the
growing
number
of selfemployed
workers

…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages
Making sense of pay data

……………………………………………………………………………………………………..

• Measures differ due to coverage, timing and choice of deflator

• Despite differences, basic story is similar: no sign of the wage
squeeze ending just yet
• Experiences have varied across the earnings distribution and
by worker characteristic
• Main pay data takes no account for growing number of selfemployed workers

…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages
……………………………………………………………………………………………..

2014, year of the
pay rise?
Matthew Whittaker, Resolution Foundation
David Smith, Sunday Times
John Philpott, The Jobs Economist
Nicola Smith, TUC
Ian Stewart, Deloitte
Gavin Kelly, Resolution Foundation (chair)
4 February 2014

…………………………………………………………………………………………………………………………………………
…………………………………………………………………………………………………………………………………………

#ukwages

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Presentation by Matthew Whittaker

  • 1. …………………………………………………………………………………………….. 2014, year of the pay rise? Matthew Whittaker, Resolution Foundation David Smith, Sunday Times John Philpott, The Jobs Economist Nicola Smith, TUC Ian Stewart, Deloitte Gavin Kelly, Resolution Foundation (chair) 4 February 2014 ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages
  • 2. Making sense of pay data …………………………………………………………………………………………………….. • Range of pay measures with sometimes conflicting messages • Depends in part on coverage. Two key measures are: – Average Weekly Earnings (monthly release, employer survey, based on aggregate paybill data) – Annual Survey of Hours and Earnings (annual release, employer survey, directly reported pay) • Depends also on the inflation rate used. Choices include: – CPI (excludes mortgage costs) – RPI (includes mortgage costs, but flawed methodology) – CPIH (includes estimate of owner occupied housing costs) – RPIJ (same coverage as RPI, but uses accepted method) ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages
  • 3. Variations on the wage squeeze …………………………………………………………………………………………………….. According to the ONS Average Weekly Earnings measure, pay has fallen in real terms for most of the past five years ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages
  • 4. Variations on the wage squeeze …………………………………………………………………………………………………….. Annual snapshot provided by ASHE presents a similar picture, but with some variation Comparison suggests situation has deteriorated since latest ASHE data ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages
  • 5. Variations on the wage squeeze …………………………………………………………………………………………………….. Under range of alternative wage (LFS, AEI, AWE & ASHE) and inflation (RPI, CPI & CPIH) measures, the spread of outcomes is broad, but the general trend is largely unchanged ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages
  • 6. Variations on the wage squeeze …………………………………………………………………………………………………….. With less volatility when bonus payments are excluded Reflecting the growing importance of bonuses and reactions to changes in the additional (50p) tax rate ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages
  • 7. Beyond average earnings …………………………………………………………………………………………………….. But the average can hide variation across the earnings distribution And by worker type ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages
  • 8. Beyond average earnings …………………………………………………………………………………………………….. But the average can hide variation across the earnings distribution And by worker type ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages
  • 9. Beyond average earnings …………………………………………………………………………………………………….. But the average can hide variation across the earnings distribution And by worker type ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages
  • 10. Beyond average earnings …………………………………………………………………………………………………….. But the average can hide variation across the earnings distribution And by worker type ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages
  • 11. Beyond average earnings …………………………………………………………………………………………………….. And none of the employee data takes account of the growing number of selfemployed workers ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages
  • 12. Making sense of pay data …………………………………………………………………………………………………….. • Measures differ due to coverage, timing and choice of deflator • Despite differences, basic story is similar: no sign of the wage squeeze ending just yet • Experiences have varied across the earnings distribution and by worker characteristic • Main pay data takes no account for growing number of selfemployed workers ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages
  • 13. …………………………………………………………………………………………….. 2014, year of the pay rise? Matthew Whittaker, Resolution Foundation David Smith, Sunday Times John Philpott, The Jobs Economist Nicola Smith, TUC Ian Stewart, Deloitte Gavin Kelly, Resolution Foundation (chair) 4 February 2014 ………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………… #ukwages