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Statistical processing

Contact info

Short Term Statistics, Business Statistics
Mathias Bluhme
+45 39 17 35 61

mdb@dst.dk

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Stocks of Wholesale

Data on stocks by the end of each quarter is collected through a survey of approx. 250 units. The reported data are validated, before they are grossed up from the sample to the population. Selected series are seasonally adjusted.

Source data

The statistics are compiled on the basis of a sample through a separate survey.

The sample consists of approx. 250 units in wholesale. The sample is stratified by size of stock and by activity. Information on size of stocks for selection of the sample comes from the statistics on industrial accounts.

The strata are:

  • stocks larger than 40 mill. DKK, all units are sampled
  • stocks between 15 and 40 mill. DKK, a sample is drawn

Frequency of data collection

Quarterly.

Data collection

Data collection is conducted by means of electronic online survey forms at Virk.dk

Wholesale: Instructions for respondents (in Danish).

Data validation

Data are validated through semi-automatic procedures, especially focusing on large changes in reported stocks.

Data compilation

Reported stocks by the end of each quarter from units in the sample are grossed up, through a direct estimate, to total stocks for each stratum. Based on this, change rates are calculated. From the Accounts Statistics, figures on stocks by the start of the year for the whole population are available. Through fixed-price calculations, stock changes are then calculated in fixed prices. Finally, the changes in fixed prices are inflated to have also changes in current prices.

Fixed price calculations are made using price indices specific to industries and types of goods, based on Producer price index for commodities and Price index for domestic supply.

Only companies that have reported are included in the enumeration. The weight for these companies is increased if there are companies that have not reported.

Adjustment

Seasonal adjustment is made using JDemetra on all series.