Data editing in the danish cpi
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Data editing in the Danish CPI. May 2008. 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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Data editing in the danish cpi1

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



The hb method

The HB-method

Example on distribution of price relatives.


The hb method1

The HB-method

Step 1:

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

Step 3:


The hb method2

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)



Results of the hb method

Results of the HB-method

The data set in February 2008:


Results of the hb method1

Results of the HB-method

Errors detected with the HB-method in February 2008:


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