Email), István Macsári, (Email), Zsolt Takács">
12:30 - 13:30
Poster Session
Room: Lunches Space
Reducing response burden by using administrative cash machine data in Hungarian retail trade statistics
Agnes Andics, (Email), István Macsári, (Email), Zsolt Takács, (Email)
HCSO, Budapest
New data sources play a key role in official statistics, since more and higher quality data are needed parallel with reducing reporting burden. Due to a new legislation introduced in 2014, enterprises operating cash machines involved in the online cash register system are obliged to send online information about sales in retail chain to the Hungarian tax office. It was an obvious demand to change the methodology of the retail trade statistics in such a way that exploits the potential in these data. Cash machine data contribute to reducing reporting burden of retail trade. Since the estimation of the retail selling is based on shop level, matching shops and cash machines was necessary. The mistakes made by cashiers and some missing data problem needed to be handled. Since some of the retailers are not obliged to use the online system, a part of the retail trade should be estimated without these data.


Reference:
POST01-018
Session:
Big data analytics (poster)
Presenter/s:
Agnes Andics
Presentation type:
Poster presentation
Room:
Lunches Space
Date:
Tuesday, 12 March
Time:
12:30 - 13:30
Session times:
12:30 - 13:30