1. Surveys on prices at the Statistical office of the Republic of Slovenia (SURS)
Mojca Noč Razinger

2. Contents Statistical office of the Republic of Slovenia (SURS)
Price statistics
Consumer prices and calculated inidices and average retail prices
Data collection and new data sources
Open questions and conclustions

3. Statistical Office of the Republic of Slovenia (SURS)
Publish data on
For researchers: Secure room at SURS, Remote access and Subscription for releases
Additional detailed data for researchers: methodological explanations, questionnaires
All data are available in SI-STAT database

4. Price statistics at SURS
Data type
Current state of data collection
Data series
Retail prices and indices of goods and services
Monthly data collection – price collectors with tablets and special agreements with enterprises.
Data have been published monthly since 1997 and annually since 2003.
Producer prices of manufactured goods
Monthly data collection with self-administered questionnaire. Mix mode type of collection with parallel web and paper mode.
Data have been published annually since 1954 and monthly since 2005.
Services producer prices
Quarterly data collection with self-administered questionnaire. Mix mode type of collection with parallel web and paper mode.
Data have been published quarterly since 2006.
Real estate prices
Quarterly data collection from registers and SURS data.
Data have been published quarterly since 2003.
Purchasing power
Data from enterprises, administrative data and SURS data.
Data have been published since 2007.
Agricultural price statistics
Monthly surveys with self-administsred paper questionnaire, secondary statistical data and registers. Annualy surveys with self- administsred paper questionnaire or based on administrative data sources.
Data have been published monthly, quarterly and annualy since 2000 (for Prices and rents of agricultural land since 2013).
Energy sources prices
Quarterly administrative sources.
Data have been published semi-annually for gas since 1995 and for electricity since In due to methodology change there is break in time data series.

5. Consumer prices and calculated indices and average retail prices
Collected monthly for presentation of trends in the prices of goods and services
Units are representative products (goods and services)
Selected for the survey based on the threshold that determines the number of representative products included in the survey in an individual year. The number of the representative products has been increasing each year since 2012
Year
2010
2011
2012
2013
2014
2015
2016
2017
Nr. of representative products
666
669
663
667
684
706
711
717

6. Consumer prices and calculated indices and average retail prices cont.
Prices are collected by price collectors
Four major cities (Koper, Ljubljana, Maribor and Novo mesto)
Some in other places in Slovenia, mostly by phone and via the Internet and from other databases of individual traders of goods and services.
The total number of collection points is around 1,450. In recent years the variable nonresponse was around 5% and has been slightly increasing.
For collecting prices by price collectors in individual months, products are classified into the groups:
agricultural products (observed in the 1st and 3rd week of the month)
food products (between 16th and 21st of the month)
non-food products (between 1st and 15th of the month)
services (between 1st and 25th of the month)
fuels (between 1st and 25th of the month)

7. Data collection
Data collection shifts towards the use of the internal, administrative or internet sources  administrative data, web scrapping and data files from retail chains are promising data sources
Legal basis for the data from retail chains is in EU regulation and the annual programm of SURS statistical surveys
SURS negotiates with each data owner and signs the agreements to grant SURS access to their data
After the data owner enables access to the data, SURS ceases the collection of prices with price collectors in the shops.

8. New data sources
Shift towards using scanner data and online data as consumer price index sources. SURS intends to start to use scanner data in 2018 for homogeneous products (food and beverages), while for technical products where diversity is greater SURS will use the price data collectors.
If we used only data from one trader for price statistics, the dataset would no doubt be interesting to use, but the population would probably be systematically biased. In such a situation price collectors, although costlier and smaller in number, could still be the superior method of data collection.

9. Open questions What is the quality of the new data source?
How will this affect the data series?
Are the questions we need to consider different to the way we have approached traditional sources?

10. Conclusions
Scanner data have not only reduced the need to physically collect prices of products in stores but will improve the accuracy of the indices by increasing the frequency of price observations, increasing the product and business coverage, and allowing more frequent updates to the weighting information.
Could also open up new statistics in the future
Disadvantage of such collection is dependency from retail chains data provision. Omission of the provision could mean setback in the results as well as raising the costs for SURS.
With the new data sources the statistical offices are evolving into secondary users. Data owners may not fully understand data for statistical use and therefore we need mutually benefitial arrangements to be able to efficiently use available sources.

11. Thank you for your attention.