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Model versions

Continuous work with the model ensures that both equations and data are developed and improved. A new model version will typically collect the results of research efforts in several areas. A new model version is thus associated with testing, error detection and documentation. Before releasing a new model version, users are invited to test a beta version throughout a period of approximately 3 months. After the beta period the new model is finalised and serves as the official model version., A model version is a package with a new model, new data bank and revised forward projections and base line. In addition it is often necessary to revise many of the tools and smaller models that are offered together with ADAM. Documentation of equations, data and model characteristics are renewed in connection with the production of a new model version. The model versions are typically released every 1-2 years. The frequency varies depending on the number of changes in equations and data. It can be more frequently, for example in connection with main revisions in the National Accounts.,  

https://www.dst.dk/en/Statistik/ADAM/Modellen-ADAM/Modelversionsnyt

Documentation of statistics: Charges for child care

Contact info, Population and Education, Social Statistics , Annemarie Schriver , +45 40 18 43 54 , RIE@dst.dk , Get documentation of statistics as pdf, Charges for child care 2025 , Previous versions, Charges for child care 2024, Charges for child care 2023, Charges for child care 2022, Charges for child care 2021, Charges for child care 2020, Charges for child care 2019, Charges for child care 2018, Under construction., Statistical presentation, Under construction., Read more about statistical presentation, Statistical processing, Under construction., Read more about statistical processing, Relevance, Under construction., Read more about relevance, Accuracy and reliability, Under construction., Read more about accuracy and reliability, Timeliness and punctuality, Under construction., Read more about timeliness and punctuality, Comparability, Under construction., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Childcare, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/charges-for-child-care

Documentation of statistics

First year effects

Effects of fiscal policy is an important part of the usage of ADAM. The short run effects are affected by changes in the model and data bank. The short run characteristics are thus analysed regularly - typically in connection with , new model versions, . The model properties are analysed by comparing with the previous model version and focus on the differences in the models properties coming from changes in the model and data bank. Analysis of the short run characteristics is similar to the , standard multiplier analysis, . the main difference is that focus is on the effects in the first couple of years with emphasis on the connection between fiscal policy and aggregated economic activity., More on first year effects in ADAM, (Danish only).

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

Agendas for meetings

Below is an overview of the agenda for model group meetings (documents in Danish only)., Dagsorden september 2017, Dagsorden april 2017, Dagsorden november 2016, Dagsorden februar 2016, Dagsorden oktober 2015, Dagsorden februar 2015, Dagsorden september 2014, Dagsorden marts 2014, Dagsorden september 2013, Dagsorden maj 2013, Dagsorden oktober 2012, Dagsorden september 2012, Dagsorden april 2012, Dagsorden oktober 2011, Dagsorden maj 2011, Dagsorden december 2010, Dagsorden oktober 2010, Dagsorden marts 2010, Dagsorden oktober 2009, Dagsorden maj 2009, Dagsorden februar 2009, Dagsorden oktober 2008, Dagsorden april 2008, Dagsorden december 2007, Dagsorden oktober 2007, Dagsorden juni 2006, Dagsorden februar 2006, Dagsorden december 2005, Dagsorden november 2004, Dagsorden juni 2004, Dagsorden februar 2004, Dagsorden december 2003, Dagsorden september 2003, Dagsorden maj 2003

https://www.dst.dk/en/Statistik/ADAM/Om-ADAM-gruppen/Dagsordner

Mission and values

ADAM is and should continue to be the central economic model when analyzing economic policy in Denmark., The , prerequisite,  for this is that the model , - is able to analyze current economic-political challenges, - is consistent with widely accepted economic theory, - reflects all structural economic relationships, - is empirically based on the latest Danish official statistics, To be central in formulating the Danish economic policy, the model should be used in the economic ministries. ADAM should also be known and used by other major players in the economic political debate., It is a prerequisite for the empirical basis, that the databank is always up to date with the newest official statistics and that it contains as long and consistent timeseries as possible. In order to be ready for use for current analysis of important issues, a new model version is published every 1-2 year., We cooporate with users of the model, data suppliers and other modelling environments, in Denmark and internationally, to ensure the highest level of professionalism and usability of the model.

https://www.dst.dk/en/Statistik/ADAM/Om-ADAM-gruppen/Vaerdier

Data banks

ADAM's data bank contains economic key figures which give a suitable and detailed description of the Danish economy. It contains more than 3000 key figures on an annual basis covering the period from the most recent national accounts year back to 1966. The data bank is produced for model use and the time series are therefore consistent and cleared for breaks in data. , The data bank contains data from national accounts, labour market, public finances and financial key numbers. It is updated three times annually and is delivered to the costumers at the same time as the latest National Accounts figures are released. , General description of ADAM's data bank., Information related to specifik data banks (available in Danish only).

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

The model ADAM

ADAM (Annual Danish Aggregate Model) is a macroeconomic model developed by the macroeconomic modelling unit of Statistics Denmark. The model gives a simplified mathematical description of the interactions in the Danish economy., The main users of ADAM are the Danish ministries of finance and of economic affairs. In addition a number of interest organisations and financial institutions use the model., It is important that the model is empirically based and most of the behavioral equations are estimated on national accounts data. ADAM is characterised by being a large and disaggregated model., The model is constantly developed and changes are collected in model versions published on average every second year. It can be more often if data is changed, for example during main revisions of the national accounts., For more information contact, Economic models,  

https://www.dst.dk/en/Statistik/ADAM/Modellen-ADAM

Relevant links

Links to other economic modeling environments, Danish Rational Economic Agent Model, DREAM, SMEC, Model used by the Economic Council, DØRS, MONA, quarterly model used by the Centralbank of Denmark (pdf), Nationalbanken, Netherlands Bureau for Economic Policy Analysis, CPB,  , Statistisk sentralbyrå, Norway, SSB,  , The modeling unit participates in the international co-operation project LINK.  , Projekt LINK, Economic Policy Research Unit, EPRU,  , Other links, The Ministry of Finance,  , The Ministry of Economic affairs , Department of Economics, University of Copenhagen, Gekko is the simulationsoftware used to run experiments with ADAM, developed by T-T analyse. The software is available free of charge on, Gekko's homepage, .,  

https://www.dst.dk/en/Statistik/ADAM/Relevante-links

Documentation of statistics

Each of the statistical products is described in Documentation of statistics., Browse documentation of statistics, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, Education and research, Educational status of the population, Highest Education Attained, The Student Registre, Full-time education programmes, Bachelor and long cycle higher education, Foreign Students, Highest Education Attained, Medium-Cycle Higher Education, Primary and lower secondary education, Research Education, Short-Cycle Higher Education, Teacher-student register for primary school, The Student Registre, Upper-Secondary Education, Vocational Education, Educational pathways, From Primary and Lower Secondary and General Upper Secondary School to Further Education, The Education Transition Register, The Exit Register, The Student Registre, Adult education and continuing training, Adult education and continuing training, Adult Education Survey (AES), Continuing Vocational Training Survey (CVTS), Folk high school courses, Participation at folk high schools, Research, development and innovation, Business Enterprise Research and Development (BERD), Government budget allocations for research and development, Innovation in the private sector, Patents (Discontinued), Public Sector Innovation, Research and development in the public sector

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics?subject=5

Regions, provinces and municipalities, v1:2007-

Name: , NUTS_V1_2007_DK , Description: , With the Danish Structural Reform, which came into force on 1 January 2007, The counties were abolished and replaced by 5 new regions. In addition, 98 municipalities were formed, which replaced the previous 271. For statistical purposes, the 5 regions are further divided into 11 provinces., The reform resulted by law in a new local and regional structure of the whole country with two administrative levels - regions and municipalities - and thereby a change of administrative units. Of the 98 municipalities, 32 municipalities retained the same municipal code and title before and after the reform., This classification includes Christiansø (code 411). Christiansø does not belong to a municipality, but is managed directly by the state via the Ministry of Defense., The geographical breakdown of regions and provinces is consistent with the Nomenclature of territorial units for statistics (NUTS).Municipalities correspond to local administrative units (LAU), which complement the NUTS nomenclature., Valid from: , January 1, 2007 , Office: , Methodology and Analysis , Contact: , Søren Kristensen, , skr@dst.dk, , ph. +45 20 51 64 42 , Codes and categories, Open hierarchy, Download , CSV, DDI, 084: Capital Region of Denmark, 01: Province City of Copenhagen, 101: København, 147: Frederiksberg, 155: Dragør, 185: Tårnby, 02: Province Copenhagen environs, 165: Albertslund, 151: Ballerup, 153: Brøndby, 157: Gentofte, 159: Gladsaxe, 161: Glostrup, 163: Herlev, 167: Hvidovre, 169: Høje-Taastrup, 183: Ishøj, 173: Lyngby-Taarbæk, 175: Rødovre, 187: Vallensbæk, 03: Province North Zealand, 201: Allerød, 240: Egedal, 210: Fredensborg, 250: Frederikssund, 190: Furesø, 270: Gribskov, 260: Halsnæs, 217: Helsingør, 219: Hillerød, 223: Hørsholm, 230: Rudersdal, 04: Province Bornholm, 400: Bornholm, 411: Christiansø, 085: Region Zealand, 05: Province East Zealand, 253: Greve, 259: Køge, 350: Lejre, 265: Roskilde, 269: Solrød, 06: Province West and South Zealand, 320: Faxe, 376: Guldborgsund, 316: Holbæk, 326: Kalundborg, 360: Lolland, 370: Næstved, 306: Odsherred, 329: Ringsted, 330: Slagelse, 340: Sorø, 336: Stevns, 390: Vordingborg, 083: Region of Southern Denmark, 07: Province Fyn, 420: Assens, 430: Faaborg-Midtfyn, 440: Kerteminde, 482: Langeland, 410: Middelfart, 480: Nordfyns, 450: Nyborg, 461: Odense, 479: Svendborg, 492: Ærø, 08: Province South Jutland, 530: Billund, 561: Esbjerg, 563: Fanø, 607: Fredericia, 510: Haderslev, 621: Kolding, 540: Sønderborg, 550: Tønder, 573: Varde, 575: Vejen, 630: Vejle, 580: Aabenraa, 082: Central Denmark Region, 09: Province East Jutland, 710: Favrskov, 766: Hedensted, 615: Horsens, 707: Norddjurs, 727: Odder, 730: Randers, 741: Samsø, 740: Silkeborg, 746: Skanderborg, 706: Syddjurs, 751: Aarhus, 10: Province West Jutland, 657: Herning, 661: Holstebro, 756: Ikast-Brande, 665: Lemvig, 760: Ringkøbing-Skjern, 779: Skive, 671: Struer, 791: Viborg, 081: North Denmark Region, 11: Province North Jutland, 810: Brønderslev, 813: Frederikshavn, 860: Hjørring, 849: Jammerbugt, 825: Læsø, 846: Mariagerfjord, 773: Morsø, 840: Rebild, 787: Thisted, 820: Vesthimmerlands, 851: Aalborg, All versions, Name, Valid from, Valid to, Regions, provinces and municipalities, v1:2007-, January 1, 2007, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/nuts