Improving the quality of European monthly unemployment statistics Nicola Massarelli, Eurostat Q2014 - European Conference on Quality in Official Statistics.

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Presentation transcript:

Improving the quality of European monthly unemployment statistics Nicola Massarelli, Eurostat Q European Conference on Quality in Official Statistics Vienna, 3-5 June 2014

KEY WORDS TIME SERIES 2 QUALITY FRAMEWORK UNEMPLOYMENT RATES

Main features  ILO unemployment rates and levels  Total, plus age and gender breakdown  NSA, SA, TREND  Monthly, quarterly, yearly  T+30 days  EU28, EA18, MS  Levels, M-M and Y-Y changes 3

Current production  Ownership: about Eurostat-MS  3 main methods for unadjusted series Pure monthly LFS 3 month rolling quarters of LFS data Temporal disaggregation (Quarterly LFS + monthly administrative data)  Publication of adjusted series: SA, but trends for 4 countries 4

How temporal disaggregation works 5 Bulgaria, number of male unemployed aged 25-74, NSA (thousands)

Quality concerns  Volatility  Revisions  Turning points identification  Timeliness 6

Developing a quality framework  Goal: Provide acceptance criteria Compare series  Structure: Define appropriate indicators for each quality dimension Synthetic indicator vs. scoreboard Acceptance thresholds 7

Volatility: big foot effect 8

Volatility: pitching & roller coaster effects 9

Measuring volatility  Big foot effect: STDev of M-M and Q-Q changes Thresholds: 0.25 / 0.63  Pitching effect:% sign inversions Threshold: 20%  Roller coaster effect: % double large inversions Large: ≥0.2 p.p. for M, ≥ 0.3 p.p. for Q Threshold: 0% 10

Measuring revisions  Focus on last data point (headline)  Average absolute revision of the level  Max absolute revision of the level  STDev revision M-M change  % sign inconsistency of M-M changes Which thresholds? 11

Turning point identification 12

Unemployment rate: delay in the identification of turning points (monthly vintages) 13

Summary: no perfect approach 14

How to discriminate?  Do we focus on the right quality concerns?  Synthetic indicator or scoreboard?  Which indicators?  Which thresholds for acceptance?  Which weights for indicators and quality dimensions? 15

Possible synthetic indicator: RMSE volatility + revisions 16

THANK YOU FOR YOUR ATTENTION AND YOUR FEEDBACK 17