ESA2010 and BPM6 implementation, quality improvements, and execution of the GNI control cycle

ended

The general objective of the the project 3 is to make annual as well as quarterly analysis of vertical consistency across institutional sectors for the last four reference years and try to reduce discrepancies as ideally, vertical inconsistencies over time are small and are above all unbiased (biased time series of the vertical discrepancy can indicate a structural problem). We will mostly work on annual sector accounts discrepancies, which have been already roughly analysed in the past, but this time we will discuss them in more detail. Additionally, we will analyse quarterly sector accounts data and try to identify reasons behind quarterly discrepancies. We will try to diminish (in annual non-financial sector accounts) identified vertical inconsistency wherever possible. Rest of the world account is an important part of sector accounts and closely linked to Balance of payments. Discrepancies between Rest of the World of the non-financial accounts and Balance of Payments were lastly identified in the year 2015. Major discrepancies were solved, while some smaller remained. Since then, six years have past and we decided that we will closely examine the discrepancies which occur at the current period and try to eliminate them. Regarding project 6, output of dwelling services should be valued at the value of rental that a tenant pays for the accommodation, taking into account factors such as location, neighbourhood amenities, etc., as well as the size and quality of the dwelling itself (according to ESA2010). In Slovenia the Rent Survey was conducted in 2017; after that rents have been extrapolated with the CPI. To determine new benchmark year there are only two solutions. First is to repeat the rent survey and second is to study Surveying and Mapping Authority data. The rent survey is expensive version to estimate current rent situation and due to low respond of households the only possible solution is to study Surveying and Mapping Authority data.