Monthly Unemployment Daniela Gumprecht Directorate Population - - PowerPoint PPT Presentation

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Monthly Unemployment Daniela Gumprecht Directorate Population - - PowerPoint PPT Presentation

Monthly Unemployment Daniela Gumprecht Directorate Population Quality Issues Madrid 11 May 2012 www.statistik.at We provide information Content Introduction & Background Quality aspects & proceedings Timeliness


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www.statistik.at We provide information

Monthly Unemployment

Quality Issues

Daniela Gumprecht Directorate Population Madrid 11 May 2012

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www.statistik.at slide 2 | 11 May 2012

Content

  • Introduction & Background
  • Quality aspects & proceedings
  • Timeliness
  • Harmonisation
  • Guidelines for comparability, adjustment, consistency
  • Quality indicators & checks
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Introduction

  • Austrian (harmonized) monthly unemployment figures
  • According to international definitions
  • Used for Principal European Economic Indicators (PEEI)
  • Calculated, published and sent to Eurostat by STAT
  • From reference month January 2011 onwards
  • Use of LFS data only (no administrative data)
  • Totals and rates
  • Sub- and super-groups
  • Unadjusted and adjusted figures
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Monthly Weighting

  • Data set: Monthly LFS data
  • LFS is a continuous survey
  • Reference weeks (and interviews) are evenly distributed
  • Weighting: Iterative proportional fitting
  • NUTS-2 x sex x age
  • Nationality class
  • NUTS-2 x number of residents
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Austrian Labour Force Market

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Quality Issues

  • Timeliness
  • Conflict: early estimation versus completeness of data
  • Flash and final estimates
  • Harmonisation
  • Guidelines to guarantee international comparability
  • Seasonal adjustment: needed, use of certain methods
  • Consistency: sub- and super-groups, months and quarters
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Flash and Final Monthly Figures

… 10 11 12 1 2 … 10 11 12 1 2 3 … 10 11 12 1 2 3 4 … 10 11 12 1 2 3 4 5 … 10 11 12 1 2 3 4 5 6 … 10 11 12 1 2 3 4 5 6 7

  • Past:
  • Final estimates
  • Final monthly (quarterly)

data

  • Current Edge (1-3 months):
  • Flash estimates
  • Preliminary monthly data
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Month-Quarter Consistency

  • Aim: 3-months average = quarterly estimate
  • Only for final monthly figures, not before quarterly figures are

available

  • Simple: multiply final monthly figures by factor q / m

2011 Not-consistent LFS Quarter q / m MQ consistent LFS Month m LFS Month m Oct 183.522 187.615 Nov 183.881 181.913 185.970 1.0223 187.982 185.970 Dec 178.337 182.314

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Sub- and Super-Groups

  • All calculations are done at the lowest level (4 subgroups)
  • MQ consistent
  • Adjustment (indirect approach): totals only
  • Unemployment rates
  • All super-groups: cumulations of corresponding subgroups
  • UWomen = UWomen[15;24] + UWomen[25;74]
  • a(EPop[15;24]) = a(EMen[15;24]) + a(EWomen[15;24])
  • a(URMen[25;74]) = a(UMen[25;74]) / {a(UMen[25;74]) + a(EMen[25;74])}
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Time Series Adjustment

  • Eurostat demands for seasonal adjustment, using a certified

method (TRAMO/SEATS or ARIMA X12), but

  • Some AT series show seasonal patterns, some do not
  • Some AT series show high fluctuation
  • Seasonal adjustment: only if seasonal pattern exists
  • Smoothing of series always desired
  • Compromise: Use trend as adjusted series
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Proceeding

Super-groups Sub-groups Sub-groups Super-groups Men Men [15;24] Men [15;24] Men Women Men [25;74] Men [25;74] Women [15;24] Women [15;24] Women [15;24] [15;24] [25;74] Women [25;74] Women [25;74] [25;74] Pop Pop X Super-groups Sub-groups Sub-groups Super-groups Men Men [15;24] Men [15;24] Men Women Men [25;74] Men [25;74] Women [15;24] Women [15;24] Women [15;24] [15;24] [25;74] Women [25;74] Women [25;74] [25;74] Pop Pop Cumulation Cumulation Not seasonal adjusted Trend Totals Rates Rates computation Trend calculation

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Quality Indicators – Flash Estimates

  • Evaluation of flash estimates
  • Average difference in %-points (QI1)
  • Average absolute difference in %-points (QI2)
  • Maximum absolute difference between flash and final

estimates (QI3)

  • % of correct direction of provisional month-to-month

changes, lag 1 (QI4) and lag 12 (QI5).

  • Example: Unemployment rate total population, Dec.11

QI1 QI2 QI3 QI4 QI5

  • 0.0039

0.1332 0.4408 91.43% 95.83%

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Flash vs. Final Estimates

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Quality Indicators – Time Series

  • Revisions first – next time
  • Revision first – last time
  • Differences: not adjusted values, trend, absolute, average etc.
  • Behaviour at Turning Points
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Quality Indicators – Time Series

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Publication

  • Unemployment totals and rates
  • Sub- and Super-groups (but no Men[15;24] and Women[15;24])
  • Not adjusted and trend values
  • Revisions:
  • Trend series: each month revision of the whole series
  • Not adjusted values: revision of months whenever new

quarterly LFS values are available

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References

  • Gumprecht, D., Haslinger, A., & Kowarik, A. (2011). Austrian

LFS Monthly Unemployment Rates. Austrian Journal of Statistics, 40, 297-313.

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www.statistik.at slide 18 | 12 May 2011 Please address queries to: Daniela Gumprecht Contact information: Guglgasse 13, 1110 Vienna phone: +43 (1) 71128-7260 fax: +43 (1) 71128-7445 Daniela.Gumprecht@statistik.gv.at

Monthly Unemployment

Quality Issues