|Unit||Mil. EUR, NSA|
|Adjustments||Not Seasonally Adjusted|
|Capacity Utilization||2023 Q1||80.2||83||%, SA||Quarterly|
|Business Confidence||Jan 2023||-12.3||-15.7||Bal. of Opinion, SA||Monthly|
|Industrial Production||Nov 2022||114||114.6||Index 2015=100, NSA||Monthly|
|Change in Inventories||2022 Q3||1,308||1,314||Mil. EUR, NSA||Quarterly|
|Real Change in Inventories||2022 Q3||127.66||816.81||Mil. Ch. 2015 EUR, SA||Quarterly|
For Slovakia, quarterly national accounts: GDP(E), GDP(O) (GVA by industry), employment by industry (branch account), sector account for households, household consumption detail.
The source writes:
GDP is one of the key aggregates in the ESA. GDP is a measure of overall economic activity in the economy, leading to production that satisfies final demand of the economy. There are three apporaches of measuring GDP at market prices, which must each other give a one balanced GDP figure:
GDP by production activities: Estimates of gross output and intermediate consumption in current prices are compiled using mainly primary data sources. Gross value added is derived as the difference between gross output and intermediate consumption. The data collected at sample statistical surveys are adjusted using standard procedures to achieve full coverage. For businesses that did not submit reports, adjustments based on the data recorded during the period under similar undertakings are made. The data are further adjusted for exhaustiveness due to the non-observed economy. Data in constant prices we obtain by double deflation of gross output and intermediate consumption using appropriate price indices (recalculation to the prices of the previous year and chaining to the reference year 2010).
GDP by expenditure categories: The main source of data for estimating final consumption of households is retail trade statistics, household budget survey, and other administrative and statistical data sources. Estimates of final consumption of households in constant prices are calculated using appropriate consumer price indices at levels of COICOP categories. Estimates of expenditures of general government final consumption are obtained directly from source data, which are processed by the Ministry of Finance SR. Data on gross fixed capital formation is based on information compiled expenditures on acquisition of asset from statistical reporting or administrative data sources and recalculated into constant prices using appropriate price indices of industrial producers. Data on changes in inventories are obtained as the difference between reported value of stocks at the beginning and at the end of the reference period and adjusted by the gains / losses caused by price developments (holding). Estimates of imports and exports of goods and services are based on the statistics of foreign trade, the balance of payments data and the data at constant prices are obtained by deflating using the adjusted price indices of domestic production and adjusted price indices of foreign trade.
Gross domestic product at market prices is a final result of the production activity of resident producer units created during the current period. Regional GDP is calculated as the sum of values added by industries for each single region, and taxes on products less subsidies on products as a share GVA by region. For international comparison, the Regional Gross domestic product is expressed in purchasing power. Calculation of Purchasing Power Parity (Purchasing Power Standard) is based on prices and sales volumes of goods that are comparable and representative for the countries, which are included in comparison. Purchasing Power Parity eliminates effects of different price levels between countries.
Regional gross domestic product per capita is a share of two indicators based on different principles - regional gross domestic product (in which the criteria by the place of work is considered) and the average number of people residing permanently in the region (based on the principle of residence).
Gross value added at basic prices is calculated as the difference between output at basic prices and intermediate consumption at purchasers' prices. Output consists from products manufactured during the current financial year and intermediate consumption consists of the value of goods and services consumed in the production process as inputs, excluding fixed assets whose consumption is expressed as consumption of fixed capital.
The compilation process of regional gross value added consists of several steps. Basic approach is based on individual calculation of Gross value added by industry (section NACE Rev.2.) in the single region (NUTS 3). In process of calculation the approach for regionalization is used "bottom - up" and so- called "combined approach ".
Gross fixed capital formation includes the acquisition of fixed assets less disposals (sales) of fixed assets by producers - residents during a given period. Included are also increases of the value of certain non-produced assets realized by production activity of institutional units. Fixed assets are tangible as well as intangible assets that have been produced as output in manufacturing process and will be used in other production processes repeatedly or continuously for more than one year.
Regional gross capital formation is constructed as the sum of gross capital formation by industry in the region. Similarly as in case of GVA the approach for regionalization is used "bottom-up" and so-called "combined approach".
Balance of primary income - net - primary income characterizes an ability of resident households to generate income either as unincorporated enterprises, employees or recipients of property income in the region where households reside or in other regions of the country or outside the country.
Net disposable income characterizes the outcome of major transactions relating to the household sector (production activities, distribution and redistribution of income and other transactions) between single regions.
Total employment is expressed by number of employees and self-employed, who are involved in production process belonging to the frame of output in SNA. In compilation of labour market indicators the method of balancing is used, i.e. job supply is balanced with demand. In particular, it is the comparison and harmonisation of data obtained from enterprise survey with data obtained from Labour force survey (LFS) carried out in households, to conform the definitions of ILO and ESA 2010. According to ESA 2010, the total employment is expressed in domestic concept. In this concept, data are acquired from enterprise survey. For the sake of comparability, data from the labour force survey (surveyed on the basis of national concept) are adjusted by items such number of residents working abroad, non-residents, coming from abroad, employees in collective households, women having maternity leave, etc.
Time series of GDP data are compiled according to ESA 2010 and are available at current prices, constant prices of the previous year and chain-linked volumes with reference year 2010. Seasonally adjusted quarterly time series of gross domestic product and its components were obtained by applying TRAMO-SEATS method implemented in software JDemetra+ (version 2.0.0.). Original time series of these indicators were analysed in current prices as well as in chain-linked volumes where the seasonal analysis confirmed statistically significant influence of the seasonal component on development of analysed time series.
The source releases data in two waves, where the following tables are updated first: nu0002qs, nu0004qs, nu2051qs, nu2052qs, nu2043qs, nu2044qs, nu0006qs, nu2025qs, nu2020qs, nu2022qs, and nu2042qs. Approximately 8 days later the remainig tables are updated: nu2002qs, nu2008qs, and nu2010q.
We compute seasonally adjusted counterparts for employment by industry, and for compensation. As of 2021, we use the X-13ARIMA-SEATS program.
The data are preliminary when first released. The data become final after the annual national accounts and supply and use tables are closed, three years after the end of the reference year.
Revision of Quarterly National Accounts for time series 1. Quarter 2015 - 2. Quarter 2018
March 28, 2018 - As of 2018, the source only reports a single GDP without specification of approach. For consistency, Moody's Analytics sets the different approach time series equal to this figure.
January 5, 2016 - This release recently went through an ESA 2010 change. The source says
We update seasonal factors annually, after the Q4 data are disseminated.