Data editing in the Danish CPI

1 / 9

# Data editing in the Danish CPI - PowerPoint PPT Presentation

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.

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.

## PowerPoint Slideshow about ' Data editing in the Danish CPI' - eve-le

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

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

### The HB-method

Example on distribution of price relatives.

### The HB-method

Step 1:

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

Step 3:

### 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

The data set in February 2008:

### Results of the HB-method

Errors detected with the HB-method in February 2008: