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Data editing in the Danish CPI

Learn about the 4-step process of editing Danish CPI data, including manual editing, consistency checks, and statistical editing using the HB-method. Understand the parameters and results of the HB-method in data analysis.

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Data editing in the Danish CPI

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  1. Data editing in the Danish CPI May 2008

  2. Data editing in the Danish CPI Data editing in the Danish CPI can be divided into 4 overall steps: Manual editing of collected prices Controls for consistency and logical errors Statistical data editing Editing of calculated price indices

  3. Controls for consistency and logical errors

  4. The HB-method Example on distribution of price relatives.

  5. The HB-method Step 1: Step 2: rjM = Median [r1j, r2j, r3j, ... rnj] Step 3:

  6. The HB-method Step 4: , 0  U  1 Step 5: dQ1 = Max {EM – EQ1, AEM} dQ3 = Max {EQ3 – EM, AEM} Step 6: Acceptance interval = {EM – C*dQ1 ; EM + C*dQ3}, Currently, the following values for the parameters are used: U = 0,4 (influence of the price level) A =0,05 (allows a minimum of smaller price changes) C = 5 (broadness of the acceptance interval)

  7. Statistical data editing

  8. Results of the HB-method The data set in February 2008:

  9. Results of the HB-method Errors detected with the HB-method in February 2008:

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