Quarterly Earnings Statistics

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Quarterly Earnings Statistics Kieran Walsh Senior Statistician Labour Market and Earnings Analysis

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Quarterly Earnings Statistics. Kieran Walsh Senior Statistician Labour Market and Earnings Analysis. Outline of Presentation. 1. Data collection 2. Primary indicators 3. Additional indicators. Quarterly earnings data collection. Historically multiple earnings surveys - PowerPoint PPT Presentation

Transcript of Quarterly Earnings Statistics

Page 1: Quarterly Earnings Statistics

Quarterly Earnings Statistics

Kieran WalshSenior StatisticianLabour Market and Earnings Analysis

Page 2: Quarterly Earnings Statistics

Outline of Presentation

1. Data collection2. Primary indicators3. Additional indicators

Page 3: Quarterly Earnings Statistics

Quarterly earnings data collection

• Historically multiple earnings surveys• Covered different sectors (public sector,

industry, building, distributive trade, financial services) but not comprehensive

• Different methods and coverage• No all sectors estimation possible

• Earnings hours and employment costs survey (EHECS) initiated in 2005 – initially covered industry and finance

• In Q1 2008 extended to all sectors of the economy

Page 4: Quarterly Earnings Statistics

Quarterly earnings data collection contd.

• EHECS collects information on the following main elements from enterprises with 3+ employees:• Regular earnings• Irregular earnings• Other labour costs• Paid hours• Employment

• Broken down full time/part time and 3 occupational groups

• Aggregate level information collected

Page 5: Quarterly Earnings Statistics

Quarterly earnings data collection contd.

• Data collected from all enterprises with 50 or more employees

• Sample of smaller enterprises• High burden survey – done according to Labour Costs

Survey framework (detailed) – no separate LCS required

• In 2009/2010 a number of steps taken to reduce burden

• Reduced sample• Reduced form for smaller enterprises• Done so as to maintain key outputs• Improved timeliness as a result

Page 6: Quarterly Earnings Statistics

Quarterly earnings statistics – key indicators – weekly earnings

Q108 Q208 Q308 Q408 Q109 Q209 Q309 Q409 Q110 Q210 Q310 Q4100.00

200.00

400.00

600.00

800.00

1,000.00

1,200.00

Average weekly earnings by sector, Q1 2008 to Q4 2010

Total

Private sector

Public sector

Less than 50 employees

50-250 employees

Greater than 250 employees

Page 7: Quarterly Earnings Statistics

Quarterly earnings statistics – key indicators – weekly earnings

• Average weekly earnings overall down over the period

• Private sector steadily down during 2008/9 – fluctuating in 2010

• Public sector up in 2008, fluctuated 2009 (excluding pension levy effect), down in 2010 following pay cut

• By size class all fluctuating but no major pattern

Q108

Q308

Q109

Q309

Q110

Q310

0.00

200.00

400.00

600.00

800.00

1,000.00

1,200.00

Average weekly earnings by sector, Q1 2008 to Q4 2010

Total

Private sector

Public sector

Less than 50 employees

50-250 employees

Greater than 250 employees

Page 8: Quarterly Earnings Statistics

Quarterly earnings statistics – key indicators – hourly earnings

Q108 Q208 Q308 Q408 Q109 Q209 Q309 Q409 Q110 Q210 Q310 Q4100.00

5.00

10.00

15.00

20.00

25.00

30.00

35.00

Average hourly earnings by sector and size class, Q1 2008 to Q4 2010

Total

Private sector

Public sector

Less than 50 employees

50-250 employees

Greater than 250 employees

Page 9: Quarterly Earnings Statistics

Quarterly earnings statistics – key indicators – hourly earnings

• Paid hours have been cut most notably in private sector and smaller enterprises

• As such some of cuts in weekly earnings not replicated in hourly earnings

• Most notable shift in hourly earnings in public sector where pay cut shifted level down in 2010 Q10

8Q30

8Q10

9Q30

9Q11

0Q31

00.00

200.00

400.00

600.00

800.00

1,000.00

1,200.00

Average weekly earnings by sector, Q1 2008 to Q4 2010

Total

Private sector

Public sector

Less than 50 employees

50-250 employees

Greater than 250 employees

Page 10: Quarterly Earnings Statistics

Interpretation issues

• Refers to remaining enterprises and employees• Some queries regarding loss in earnings for people

who used to work in Construction – cannot be estimated from this source

• Composition effects – difficult to estimate without high burden on respondent enterprises – would require very detailed occupation, experience etc. information

• Trends not unidirectional – e.g. reduction occur in some periods and not others

Page 11: Quarterly Earnings Statistics

Supplementary analysis

• Looked at wage bill changes among enterprises who were available in both periods• Enterprises cut/increase wage bill in 3 ways

• Employment• Paid hours• Hourly earnings

• Used data for Q3 2008 and Q3 2009 – period of greatest employment loss

• Showed that 65% of all enterprises cut their wage bill by more than 2%

• 68% small enterprises, 57% large enterprises

Page 12: Quarterly Earnings Statistics

Supplementary analysis from EHECS

Percentage of enterprises reducing their wage bill and components of the wage bill, by components changed, Quarter 3 2008 to Quarter 3 2009

Employment

Average Hourly

EarningsAverage Hours

4%

3%

13%

9%

20%

12%

4%

54%

29%37%

Page 13: Quarterly Earnings Statistics

Supplementary analysis

• Many enterprises cut more than one of the components• Employment most frequent (more than half of

enterprises cut their wage bill with an employment reduction as part of it)

• Paid hours next most frequent (37%)• Hourly earnings least frequent (29%) and hourly

earnings (standardised actually increased 1% over the period)

• Varied greatly across sectors• Compositional effect also looked at with available

information – no significant compositional effect identified