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Standard multipliers

The multiplier experiments are carried out by changing one or a few of the exogenous variables. Then the model is simulated to calculate the effect on the endogenous variables. There is no provision for possible ties between the exogenous variables. This means that one has to be careful when interpreting the experiments as real world economic events are rarely confined to changes in one exogenous variable., All experiments expand economic activity. In some experiments the effect is temporary and in others the effect is permanent. In general, a demand shock in ADAM like an additional public purchase of goods, affects production and employment in the short run. However, in the long run a demand shock has no effect on employment. In contrast, a supply shock such as an increase in the labor force has a permanent effect on employment. This is in line with most models of a small open economy with a fixed exchange rate and a Phillips curve., There is no monetary reaction function and there is no fiscal reaction function in ADAM, which should be taken into consideration when comparing to models for other countries. Also the specific laws and rules modelled in ADAM (e.g. regulatory mechanisms in taxes and transfers) affect the comparison with other countries., ADAM multipliers - October 2015 (preliminary version), Starting with the October 2015 version, the labour supply multiplier is also calculated with increased export price elasticity in the model., The calculations are made with the model version October 2015 using the baseline lang15., ADAM multipliers - October 2014, The calculations are made with the model version October 2014 using the baseline lang14., ADAM multipliers - June 2014, From the June 2014 version and onwards, all shocks to economic policy instruments have been scaled to represent 0.1 per cent of GDP at constant prices. For multipliers on earlier model versions, the policy shock represented 1000 mill. Dkr. at constant prices., The calculations are made with the model version June 2014 using the baseline lang14., ADAM multipliers - July 2013, The calculations are made with the model version July 2013 using the baseline lang13., ADAM multipliers - October 2012, The calculations are made with the model version October 2012 using the baseline lang13., ADAM multipliers - December 2009, From the December 2009 version and onwards, two multipliers (the public purchase multiplier and the labour supply multiplier) have also been calculated under a budget constraint to illustrate the consequences of a fiscal rule., The calculations are made with the model version December 2009 using the baseline lang11.

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

Ghana 2019-2023

 , Statistics Denmark is implementing the first phase of a Strategic Sector Program financed by the Ministry of Foreign Affairs in Ghana. Our partner is the Ghana Statistical Service (GSS) which is the main producer of official Statistics in Ghana., The overall objective of the Strategic Sector Program in Ghana is to lay the foundation for a statistical system that needs fewer surveys, while at the same time having more and higher quality data. To reach this objective the cooperation supports Ghana in:, strengthening the foundation of evidence-based decision making at all levels in Ghana by reinforcing the quality, dissemination and communication of relevantstatistics to users in Ghana andinternational organisations working with Ghana,, boosting the modernisation of the nationalstatistical system in Ghanaby strengthening data and quality management and new data sources in the entire statistical production process, , improving the monitoring and reporting of the UN Sustainable Development Goals in Ghana., The project is structured around seven outcomes and associated outputs:, A. Use of Administrative Data Sources for Statistical Production Increased, Output A1: Analysis of demographic data available in GSS, BDR and NIA, Output A2: Ghana Immigration Service data transferred in second pilot, Value and use of administrative data demonstrated to decision-makers and media, B. Improved IT with focus on data storage and dissemination (databases and databank)., Output B1: IT system setup for pilot data transfer and storage defined, Output B2: Statistical Databank developed and launched, C. Quality and methodology in statistical production are imptoved and harmonised throughout institution., Output C1: Structure and processes for quality principles are formalised and standardized, Output C2: Change towards increased unified methodology mapped and roadmap finalised, D. Accuracy and Coverage of Economic Statistics improved., Output D1: , Consumer Price Index transformed from 10 to 16 r, egions and updated, Output D2: Unit Value Index updated and improved , Output D3: National Accounts Database System introduced, Output D4: Input/Output tables methodology introduced, Output D5: Environmental Accounts/Green GDP methodology introduced, E. Staff trained in general statistical competences, Output E1: , Staff trained in R or Python software, Output E2: Staff trained in Generic Statistical Business Process Model (GSBPM), Output E3: Staff trained in Sampling Technique,  , Watch the video about the Strategic Sector Cooperation in Ghana between Statistics Denmark and Ghana Statistical Service

https://www.dst.dk/en/consulting/projects/ghana-morocco-and-vietnam-2019-2024/ghana-2019-2023

Vietnam 2022-2024

 , Statistics Denmark is implementing the first phase of a Strategic Sector Program in Vietnam financed by the Ministry of Foreign Affairs. Our partner is the General Statistics Office of Viet Nam (GSO). The GSO is an organization under the Ministry of Planning and Investment (MPI) performing the advisory function for the MPI Minister on state management in statistics and providing social and economic information to national and international organizations and individuals. The GSO also plays a key role in monitoring the SDGs., The overall objective, The overall objective of the Strategic Sector Program is to contribute to the development process of the Viet Nam by providing adequate and trustworthy statistics complying with the international standards and trends. , The project plays an important role in the process to informed decision-making by supporting the development of at least four areas:, Modernizing the data collection methods for population and migration statistics so that Viet Nam can improve the quality of demographic statistics and gain more reliable information on the developments m the population, Developing education statistics with the ambition that an education sector will have an informed platform to base daily operations and future development, Introducing Big Data as a new data source in Viet Nam and producing experimental statistics in order to provide more knowledge on the Vietnamese society, Developing the GSO's capacity to develop environmental-economic accounts, hence increase available knowledge on the environmental situation in Viet Nam and improve monitoring and reporting of the environmental-related SDGs., The project is structured around four outcomes and associated outputs:, A. , Foundation for using administrative data for producing population statistics information improved., Output A: Administrative data for compilation population statistics analyzed, B. Quality of education statistics is strengthened by the consistent use of administrative data on education., Output B: Administrative data on education is case studied, C. Big Data is used as a new data source for producing statistics in Viet Nam., Output C: At least one pilot experimental statistics based on Big Data is produced, D. System of environmental-economic accounts is studied, Output D: Environmental-economic accounts are compiled to have more indicators for SDG monitoring indicators are available for SDG monitoring

https://www.dst.dk/en/consulting/projects/ghana-morocco-and-vietnam-2019-2024/vietnam-2022-2024

Documentation of statistics: Households, Families and Children (Discontinued)

Contact info, Population and Education , Get documentation of statistics as pdf, Households, Families and Children 2017 Month 01 , Previous versions, Households, Families and Children 2016, Households, Families and Children 2014, The statistics describe the resident population in Denmark. Statistics are produced covering three different kinds of units: households, families and persons. The statistics describe these units on the basis of household- and family-related variables (e.g. type of family, type of family with children, size of family, type of household)., Statistical presentation, The statistics on households and families describe the total population living in Denmark. Statistics are produced covering three different kinds of units: households, families and persons. The statistics describe these units on the basis of household- and family-related variables (e.g. type of family, size of family, type of household). The basis for the statistics consists solely of CPR data on sex, age, marital status, references to spouses and parents, and address specification. The address data form the basis of the division into households, municipalities and regions., Read more about statistical presentation, Statistical processing, Daily deliveries from the Central Population Register (CPR) provide the basis for the statistics., No corrections are made., Read more about statistical processing, Relevance, The statistics are used by municipalities, regions, ministries, labour market organizations, international organizations, the media and private persons for public and private planning purposes and as basis for public debate., Read more about relevance, Accuracy and reliability, It is very important for the primary data of the statistics that the address information is reliable. The statistics are influenced by the extent to which the population is not registered in the CPR register at correct addresses. No estimates are made of the scale of this problem, and it is not possible to make corrections for this., Read more about accuracy and reliability, Timeliness and punctuality, Statistics on households and families are published approx. 45 days after January 1st. Statistics on families with children are published approx. 135 days after January 1st., Read more about timeliness and punctuality, Comparability, The definition of families was changed in 2008. Statistics on families based on the new definition are accessible from the database Statbank Denmark back to 1986. These data cannot be compared to family statistics published before 2008., Read more about comparability, Accessibility and clarity, News from Statistics Denmark (Nyt fra Danmarks Statistik), Population and Elections (Statistical News (Statistiske Efterretninger)), StatBank Denmark (Danmarks Statistikbank). Statistical Yearbook, Statistical 10-year Review, the annual publication Vital Statistics (Befolkningen Udvikling).*, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/households--families-and-children--discontinued-

Documentation of statistics

Documentation of statistics: Lunch schemes in daycare institutions (Discontinued)

Contact info, Population and Education , Jens Bjerre , +45 29 16 99 21 , JBE@dst.dk , Get documentation of statistics as pdf, Lunch schemes in daycare institutions 2018 , Previous versions, These statistics show the children's lunch schemes in daycare institutions. The figures can be used for cross-municipal comparison. This survey is compiled for the first time in 2018, with figures for 2018., Statistical presentation, This survey is an annual estimate of who is responsible for lunch schemes in daycare institutions, including whether the lunch scheme is organized by the municipality, the parents, the daycare institution itself or the children themselves bring packed lunches. These statistics are grouped by type of institution, age groups and municipalities., Read more about statistical presentation, Statistical processing, Information on lunch schemes have been collected through a combination of interviews including web surveys, telephone interviews and direct interviews with municipalities and institutions. Validation primarily consist of re-contact with the municipalities and institutions in question., Read more about statistical processing, Relevance, The survey can be used for comparison across lunch-schemes in municipalities. It can further be used by parents to assess who is arranging lunch-schemes in the municipality where their children goes to day-care institution. These statistics are compiled on the basis of an agreement between the Ministry of Children and Social Affairs and Statistics Denmark. , Read more about relevance, Accuracy and reliability, There is uncertainty in the with few answers from the day-care facilities . Such errors are not systematically and have little effect to the accuracy. The accuracy might further be affected by not representing all day-care facilities in Denmark. The elimination of day-care facilities in the data processing and the limits to the survey design implies that some day-care facilities are missing in the data., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are initially published on 30 November 2018 with figures for 2018. 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, These statistics are comparable between municipalities. These statistics have so far only been produced for the year 2018. Comparability over time is thus not yet possible., Read more about comparability, Accessibility and clarity, The statistics are published on Statistikbanken under Institutions in the tables FROK2 and FROK3., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/lunch-schemes-in-daycare-institutions--discontinued-

Documentation of statistics

Documentation of statistics: Migration to and from Denmark (Discontinued)

Contact info, Population and Education , Get documentation of statistics as pdf, Migration to and from Denmark 2016 , Previous versions, Migration to and from Denmark 2015, Migration to and from Denmark 2013, The purpose of the statistic is to describe the total immigration to Denmark and emigration from Denmark which have occurred during the period., Statistical presentation, The statistic describes immigration to Denmark and emigration from Denmark. A newsletter is published when the statistic is ready. The statistic is published each quarter. With the dissemination of the 4th quarter statistics an annual statistic for entire year is also published., At the same time tables in the Statbank are updated. Immigration and emigration can be broken down by age, sex, municipality, citizenship and country of origin or country of destination., Read more about statistical presentation, Statistical processing, CPR (central population register) is the source for information about migration., Data is processed 30 days after the end of the reference year and published shortly after. For 2013 the statistic was published 11 February 2014., Read more about statistical processing, Relevance, Municipalities, regions, ministries, organizations, research institutions, private enterprises, news media and individuals are among the users., Read more about relevance, Accuracy and reliability, Emigration numbers are systematically underestimated. This is due to the fact that many people move abroad without telling the authorities. It is the municipalities who are responsible for the maintenance of the CPR. The correct numbers for emigration is estimated to be about 15-20 percent higher than the published., A similar problem is not an issue for immigration where the underestimation is about 1-2 percent., Therefore it is not possible to have a correct measure for net migration simply by subtracting emigration from immigration. That would overestimate net migration., Persons who take up residence in Denmark without being registered in the CPR are not included among immigrated in the statistic., Asylum seekers are not included among immigrated in the statistic. It is only when they get a residence permit and are registered in the CPR that they will counted as immigrated., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approximately 6 weeks after the end of the reference period. These statistics have always been published as planned., Read more about timeliness and punctuality, Comparability, There is a break in the series in 2007, where a new way of calculating the annual immigration and emigration was introduced. The changes are particularly relevant for emigration where the new method results in lower numbers., Read more about comparability, Accessibility and clarity, Statistic is published in newsletter and tables in the Statbank., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/migration-to-and-from-denmark--discontinued-

Documentation of statistics

Documentation of statistics: Census of Buildings

Contact info, Short Term Statistics , Paul Lubson , +45 23 45 47 32 , PAL@dst.dk , Get documentation of statistics as pdf, Census of Buildings 2022 , Previous versions, Census of Buildings 2019, Census of Buildings, 1 January 2018, Census of Buildings, 1 January 2017, Census of Buildings, 1 January 2016, Census of Buildings, 1 January 2015, Census of Buildings, 1 January 2014, The statistics yearly describe the stock of buildings in Denmark. The Census of buildings - together with the Census of Housing - is since 1981 and based on administrative registers a continuing of the questionnaire based Census on Population and Housing., Statistical presentation, The statistics are compiled from a full-scale census, 1st January. Before 2011 are small buildings (e.g. garages, carports, outhouses) excluded from the stock. The statistics describe the stock of buildings analyzed by type of use, size, ownership, heating installation, roof covering and external cladding materials, water and effluent installations, and year of construction. The statistic is used by municipals, ministries, the press, companies and private people., Read more about statistical presentation, Statistical processing, The statistic covers all buildings in the Registry of buildings and Dwellings. Data is validated at the building level. The aggregated numbers are checked against earlier years., Read more about statistical processing, Relevance, The statistic is used by municipalities, counties, government departments, private and semi- private organizations and firms, the news media and private persons. It is used for public and private planning, education and public debate., Read more about relevance, Accuracy and reliability, The quality of the statistic is believed to be high. A survey of the overall accuracy of the Central Register of Buildings and Dwellings has never been conducted. But the degree of unknown variables is small., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published medio July, normally on time., Read more about timeliness and punctuality, Comparability, With some exceptions the data are consistent back to January 1, 1986(see comparability over time). A complete comparability with the statistic of constructions is, for several reasons, not possible., Read more about comparability, Accessibility and clarity, The newest numbers are published at [STATBANK] https://www.dst.dk/en/Statistik/emner/byggeri-og-anlaeg/bygninger.aspx). The numbers are also used in The Statistical Yearbook and in the Statistical Ten-Year Review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/census-of-buildings

Documentation of statistics

Documentation of statistics: Danish Vessels

Contact info, Food Industries, Business Statistics , Charlotte Spliid Hansen , +45 29 41 97 76 , chh@dst.dk , Get documentation of statistics as pdf, Danish Vessels 2024 , Previous versions, Danish Vessels 2022, Danish Vessels 2020, Danish Vessels 2019, Danish Vessels 2018, Danish Vessels 2017, Danish Vessels 2016, Danish Vessels by Region, Unit, Type of Vessels, Length and Tonnage 2015, Danish Vessels by Region, Unit, Type of Vessels, Length and Tonnage 2013, The purpose of these statistics is a description of vessels registered in Denmark as fishing vessels. Data are provided by The Danish Fisheries Agency's register., Statistical presentation, Statistics for the Danish fleet of fishing vessels are based on those vessels that are registered in The Danish Fisheries Agency as commercial fishing vessels. A registration is needed for commercial fishing., Read more about statistical presentation, Statistical processing, The administrative register for fishing vessels have records of all vessels with permission to commercial fishery. Data are reported from owners of vessels on the form from the Fisheries Agency. Data are checked for inconsistencies., Read more about statistical processing, Relevance, Landing data is used to manage fishing and quota reporting of Danish fishing etc., Read more about relevance, Accuracy and reliability, This statistics covers all Danish commercial fishery vessels. Reporting to the register is mandatory and thus the statistics covers all legally reported fishing vessels. Recreative fishery is not included. There is a close cooperation with fishermen in relation to validation of data. Annually campaigns are made regarding applying of rules and reporting valid data. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 3 months after the end of the reference period. The statistics are published without delays in relation to planned publication times., Read more about timeliness and punctuality, Comparability, On the calculated level of aggregation, there is no significant data breach., Read more about comparability, Accessibility and clarity, These statistics feature in a Danish press release , Nyt fra Danmarks Statistik, and are published in the StatBank under , Fishery and aquaculture, . For further information look at , Fiskeri, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/danish-vessels

Documentation of statistics

Documentation of statistics: Sales of Alcohol and Tobacco

Contact info, Prices and Consumption , Christian Lindeskov , +45 21 22 28 57 , CHL@dst.dk , Get documentation of statistics as pdf, Sales of Alcohol and Tobacco 2022 , Previous versions, Sales of Alcohol and Tobacco 2021, Consumption and sales of Alcohol and Tobacco 2020, Consumption and sales of Alcohol and Tobacco 2019, Consumption and sales of Alcohol and Tobacco 2015, Consumption of Alcohol and Tobacco 2012, The purpose of the statistics is to describe the sale of tobacco and alcohol in Denmark. The sale statistics has been produced since 1939 and goes back to 1921., Statistical presentation, The , sale of alcohol and tobacco, is a yearly statistic based on the duty paid to SKAT. The statistics is split by type of goods in the first transaction stage, i.e. typically sale from producer or wholesale to retail., Read more about statistical presentation, Statistical processing, Data is retrieved from the Danish tax authorities, whom also conduct basic data validation. The data is corrected for the breweries moderation scheme prior to publication. The taxable sale is, therefore, the sale of alcohol and tobacco to the retail trade. The revenue from the taxes are recalculated to volumes on the basis of the Danish Ministry of Taxation's tax classes., Read more about statistical processing, Relevance, The statistic provides an overview for institutions, e.g. industry organisations and producers of the sector for production of alcohol and tobacco, and others with an interest for the subject., Read more about relevance, Accuracy and reliability, The data covers the taxable sale of alcohol and tobacco. Only the final numbers are published., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published yearly and usually published according to the announced time without delay., Read more about timeliness and punctuality, Comparability, Statistics Denmark have calculated different versions of this statistics since 1921. Data breaks occur whenever there are changes to the rules and taxes on alcohol and tobacco. No directly comparable statistics internationally are known., Read more about comparability, Accessibility and clarity, The statistic is published in ", Nyt fra Danmarks Statistik", . In the Statbank the numbers are published in the tables , ALKO2, , , ALKO3, and , ALKO4, . Furthermore, the numbers are included in yearly publications of Statistical Yearbook and Statistical Ten-Year Review. Se more on the statistics' website , Consumption of alcohol and tobacco, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-alcohol-and-tobacco

Documentation of statistics

Classification of education (DDU), completed educations, v1:2026

Name: , DDU_AUDD_V1_2026 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit completed educations code, called AUDD-code, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , February 1, 2026 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DDU), completed educations, v1:2023, December 1, 2023, January 31, 2026

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-audd