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Data editing in the Danish CPI
May 2008
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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
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Controls for consistency and logical errors
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Example on distribution of price relatives.
The HB-method Example on distribution of price relatives.
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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:
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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)
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Statistical data editing
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Results of the HB-method
The data set in February 2008:
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Results of the HB-method
Errors detected with the HB-method in February 2008:
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