Publication of retail and catering data will change with effect from 5 March 2019: current data will be published based on a new methodology, in which data collection is supplemented with data from administrative sources. Based on the new methodology, we can generate these data based on more comprehensive population data compared to previous practice, resulting in reduced sampling error. In preparation for the use of online cash register data, HCSO examined the impact of the new data source on the 'whitening' of the economy. On this basis, as a result of the new methodology using online cash register data, data provide a more reliable picture of retail and catering sales than the previous practice, which was rather based on sampling.
Data are available in the STADAT tables on the HCSO website under the title '4.5. Tourism and catering'.
In order to ensure data comparability over time, sales data were backcasted until January 2015 and volume indices until January 2016, which are also available in the tables. The structure of the published tables has not changed compared to the previous ones, they contain the usual information. Data collected based on the methodology used before 2019 will remain available to users by clicking on the following link: www.ksh.hu/stadat_infra_4_5_o Tables include data until December 2018, but please note that the values shown here are not fully comparable to the data calculated on the basis of the new methodology.
Retail trade and catering turnover and volume index is based on a survey launched by electronic questionnaires – extended with administrative data –, where the respondent is the enterprise and the observation unit is the shop. The target population is provided by the Retail Trade Register (KERREG) which is updated from shop registers biannually received from municipalities. The population is divided into a full scope and a surveyed subpopulation.
Based on NGM Decree 48/2013 (hereinafter referred to as Decree), the use of online cash registers (OPGs) was introduced in retail and catering. Using these data, HCSO has increased the coverage of data providers while reducing respondent burdens by approximately 80%.
The majority of enterprises surveyed receive simplified questionnaire and a smaller part full questionnaire:
It is still necessary to maintain a simplified data collection via questionnaire, because:
Data are estimated in the following way:
In case of OPG data, exceptionally large items are handled as follows: NAV files including items above a specified threshold and sent monthly by NAV are aggregated according to cash registers during processing. Outlier values are kept (accepted) in case of full-scope observed enterprises and automatically deleted (subtracted) from total sales in case of all other shops.
Missing data are not imputed in the administrative data source. In the full scope part we impute with the data for the same period of the previous year if they exist. If there is no such data but previous period data is available, the product of this and the average dynamics (the rate of the average of the period and the previous period) will be the imputed data. The same imputation will be used in the case of the sampled units. If no prior period data is available we impute with a corrected average value.