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The Norwegian CPI Data Validation and Editing

The Norwegian CPI Data Validation and Editing. 8-9 May 2008 Tom Langer, Statistics Norway. Survey systems – data capture. The CPI survey systems The regular surveys (40 pct) The special surveys (60 pct) Regular surveys Some 2000 outlets every month – 39 000 observations

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The Norwegian CPI Data Validation and Editing

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  1. The Norwegian CPIData Validation and Editing 8-9 May 2008 Tom Langer, Statistics Norway

  2. Survey systems – data capture • The CPI survey systems • The regular surveys (40 pct) • The special surveys (60 pct) • Regular surveys • Some 2000 outlets every month – 39 000 observations • No price collectors involved in data capture • Qualitative information added by respondent • Internet system ; 20 pct of respondents • Postal survey – questionnaire ; 80 pct

  3. Regular survey system – Some key figures

  4. Regular survey - validation • Step1 Initial cleaning • Likely decimal errors and key punch errors • Check against the questionnaire (electronic) • Step 2 Automatic flagging of observations • HB method combined with a normalised test • Decision criteria: An observation for further inspections should be flagged in both methods

  5. HB method set up • Basic test level: Regional product group (8 regions) • Fairly homogenous • Sufficient number of observations for robust estimation of median, quartiles • In some cases the number is too low • In case – system expands data set to cover all observations on national product level. • Test variables:T1 = pt / pt-1T2 = pt / pJuly

  6. Validation set up Transformation of the price relative distributions - in 2 steps: 1: Distributions symmetric around the median relative price 2: Allow for the influence of price levels U = 0,5 • Leads to the effect distributions for T1 and T2 Accept intervals according to HB method: • Lower Level = Em – C max (Em -Eq1;A Em) • Upper Level = Em + C max (Eq3- Em;A Em)

  7. The impact of A, U and C parameters

  8. Flagged extremes

  9. Editing Data received are edited in several steps • Initial cleaning of data • A second round based flagged extremes • Treatment of non response – automatic imputation Macro controls • Product level – region (8 regions) • COICOP level • A final impact control – top-down principle

  10. Special surveys – data capture • Cover 60 pct of the total CPI weight • Respondent burden • Respondents have well developed computer based systemsand are positive to share data • Surveys based on scanner data ; 30 pct of CPI weight • Food and beverages (300 000 obs) • Alcoholic beverages (14 000 obs) • New cars (1 750 obs) • Other surveys – administrative data

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