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Data editing in the Danish CPI

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Presentation on theme: "Data editing in the Danish CPI"— Presentation transcript:

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

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