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    Dansk Branchekode DB07, v2:2013

    Please note, a more current version of this classification is now available. , Name: , DB07_V2_2013 , Description: , Dansk Branchekode DB07 is the National version of EU's nomenklatur (NACE). The first four digits refer to NACE rev. 2, while the last two represent the Danish subdivision. Dansk Branchekode DB07 is a statistical classification of economic activities., Dansk Branchekode DB07 is very similar to NACE rev. 2. The only difference is the subdivision of some classes, e.g. 64.20.10 indicates that NACE Rev. 2 class 64.20 has been subdivided whereas 38.31.00 indicates that class 38.31 has not been subdivided., Valid from: , January 1, 2013 , Valid to: , December 31, 2013 , Office: , Business Data Collection and Registers , Contact: , Birgit Nielsen, , bgn@dst.dk, , ph. +45 20 51 69 67 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Dansk Branchekode DB07, v3:2014-, January 1, 2014, December 31, 2024, Dansk Branchekode DB07, v2:2013, January 1, 2013, December 31, 2013, Dansk Branchekode DB07, v1:2008, January 1, 2008, December 31, 2012, Dansk Branchekode DB03, v1:2003, January 1, 2003, December 31, 2007, Dansk Branchekode DB93, v2:1996, January 1, 1996, December 31, 2002, Dansk Branchekode DB93, v1:1993, January 1, 1993, December 31, 1995, Danmarks Statistiks Erhvervsgrupperingskode 1977 (DSE77), v5:1989, January 1, 1989, December 31, 1992

    https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/db07?id=4222ca4f-2d4b-4725-b9f2-a944f8f3e750

    Classification by sector in the European system of accounts (ESA2010), v1:2014

    Name: , ESA2010_V1_2014 , Description: , ESA2010 sectors is a statistical classification. The sector code is used to group institutional units with the same primary activity and function. E.g. the primary activity and function describe if a unit produces market or non-market services. An institutional unit is characterized by decision-making autonomy in the exercise of its principal function. Institutional units are also called economical entities., The sector code divides the economy into six overall sectors:, The non-financial corporations sector, The financial corporations sector, General government, Household sector, Non-profit institutions serving households, Rest of the world, The sector division is based on the European sector classification, which is defined in the manual European System of Accounts (ESA 2010). This classification is consistent with the international sector classification defined in the System of National Accounts 2008 (SNA 2008). See also , ESR sectors, , which is Statistics Denmark’s own classification in the statistical business register., Valid from: , September 1, 2014 , Office: , Government Finances , Contact: , Helene Gjermansen, , hgj@dst.dk, , ph. +45 24 76 70 09 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification by sector in the European system of accounts (ESA2010), v1:2014, September 1, 2014, Still valid, Classification by sector in the Statistical Business Register (SBR), v1:2013, January 1, 2013

    https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/esa2010?id=6c0826d4-1f0a-4f09-b239-5d6e8b3bf953

    Home equity

    The statistics on the real estate of the households include market values on real estate, cooperative apartments and cars. The market value calculated using actual sales on the market. The wealth statistics can be used to identify the characteristics for the owners of real estate. , Introduction, The statistics throw light on the distribution of wealth related to real estate around the country, how it has developed over time and which municipalities that have been hit hardest by the financial crisis. It is possible to carry out a distribution analysis if the statistics is merged with registers containing information on individual’s income, socio-economic, geographic and educational characteristics. , Documentation, The market value on real estate is compiled by merging several administrative registers containing information on real estate. The business register is used to delimit the population to only include individuals and sole proprietorships in the household sector. , Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Market Value for Households Real Estate, Key figures, In Statbank Denmark, you can find more data on Real estate market value (EJDFOE1), In Statbank Denmark, you can find more data on Wealth in real estate and loans for families (EJERFOF1), Related content in Home equity, Tables in Statbank , Scheduled releases , Contact, Mikkel Bjerre Trolle, Phone: +45 29 36 68 25, Mail: , mit@dst.dk

    https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/formue/husholdningernes-formue-i-fast-ejendom

    Subject page

    Multiplier analysis

    As part of testing and analysing the model a set of , standard multipliers, , , first year effects,  and a , collection of examples, is presented with every model version. These give a broad overview of the analysis possibilities of ADAM. Multipliers are used to analyse the effects of economic and political changes.  A demand shock in ADAM affects both production, employment and consumption in the short run. In the long run the effect on employment disappears. In contrast, a supply shock will have a permanent effect on employment. This is in line with most models of small open economies with a fixed exchange rate policy and a Phillips curve. , In principle, there is no automatic monetary or fiscal policy reaction function in ADAM. This aspect should be taken into consideration in the comparison with other economic models. Furthermore the specific danish laws and rules modelled in ADAM could be important when comparing with models for other economies. , For every new model version a series of standard experiments are produced to enable the analysis of the model characteristics. At the same time, the experiments makes it possible to compare the characteristics of the new model version with previous ones. All multiplier analysis are based on a base line representing a solution with respect to the endogenous variables based on a stylized forecast of the exogenous variables. , standard multipliers,  are made by changing one or a few of the exogenous variables and afterward calculating the effect on the endogenous variables. , first year effects,  represents the short run. Focus is especially on fiscal policy and the characteristics are examined by comparing with the previous model version.,  ,  

    https://www.dst.dk/en/Statistik/ADAM/Multiplikatorer

    Create association agreement for users

    As an administrator, you can create association agreements for users., This is how you do it:, Click the tab ’My overview’ on your start page. Then select the institution where the user must be created., Click the tab ‘Associated users’. To the left of ‘Associated users’, you click the ‘+’ icon., Here you can add a pre-existing user by searching for the user, select the person and then click ‘Create association agreement’. If the user does not exist, go to step 5., Subsequently, a person responsible for authorisation or a substitute must approve the association agreement. This is done at the top of the institution under ‘Association agreements pending approval’., If the user does not exist, click the button ‘New user’. You must now complete the form with the correct information. If you choose a physical token, the user cannot be associated with the project until you have received the token by mail. Please note that physical tokens are only sent to addresses in Denmark., Press ’Create association agreement’. Research Services approves requests for new users on all working days., Once Research Services has given their approval, a person responsible for authorisation or a substitute must approve the association agreement. This is done at the top of the institution under ‘Association agreements pending approval’., If the person responsible for authorisation or the substitute wants to terminate an association agreement, he or she must click ‘My overview’ followed by ‘Institutions’. Then search for the name to find the relevant user, and click the three dots next to the user’s name. Click ‘Terminate’ to terminate the association agreement.

    https://www.dst.dk/en/TilSalg/data-til-forskning/brugeradgang/opret-tilknytningsaftale-til-brugere

    Documentation of statistics: Fertility database (Discontinued)

    Contact info, Population and Education , Lisbeth Harbo , +45 20 58 64 08 , LHB@dst.dk , Get documentation of statistics as pdf, Fertility database 2018 , Previous versions, Fertility database 2016, The fertility database contain information on births and the relation between children and their parents., Statistical presentation, These statistics are a yearly measurement of the number of newborn and the number of births, both live and stillborn. The average weight ant length are also published. These statistics are grouped by sex and type of birth, e.g. twin birth., Read more about statistical presentation, Statistical processing, Data from administrative sources are collected, matched and validated, before simple summarization, grouping and calculation of averages., Read more about statistical processing, Relevance, Public interest in knowledge about families and births. Medical and social science research., Read more about relevance, Accuracy and reliability, These statistics are based on administrative registers that are considered to almost fully the entire population. However, weight and length information is missing for up to half the stillborn., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approximately nine months after the end of the reference year. These statistics are published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, There is comparability over time for the published period. There are small differences in relation to the Medical Birth Register and the number of live born in the population statistics., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , Births, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/fertility-database--discontinued-

    Documentation of statistics