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Possibilities to use administrative data sources for register based Census in Latvia

This presentation discusses the use of administrative data sources for estimating the population in Latvia, including the legal basis, methods used, and potential economic activity data sources. It also explores a grant project on using administrative data for the 2021 Census.

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Possibilities to use administrative data sources for register based Census in Latvia

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  1. Possibilities to use administrative data sources for register based Census in Latvia Ms. Maranda Behmane, Director, Social Statistics Department, CSB of Latvia Mr. Pēteris Veģis, Deputy Director, Social Statistics Department, CSB of Latvia Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  2. Plan of the presentation Register based population censuses in the Baltic countries in 2021; Legal basis for the use of administrative data; Use of administrative data in the estimation of the number of population in Latvia; Administrative data sources that characterize the economic activity of the population in Latvia; A pilot project on working out the quality system of administrative data. Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  3. Register based population censuses in the Baltic countries in 2021 Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  4. Legal basis for the use of administrative data The new Statistical Law isin force since January 2016: (2) A legal person governed by private law, an association of such persons or a State authority shall upon a substantiated request of the statistical institution provide data from its administrative data sources, including restricted access information needed for provision of official statistics. Data from administrative data sources of a State authority shall be provided free of charge. (4) A State authority, maintaining, planning, implementing and improving administrative data source structure and content, shall generate data so that the data meet the needs of provision of official statistics. Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  5. Useofadministrativedataintheestimationofthenumberofpopulationin Latvia In 2012 the CSB worked out a new method for estimating the number of population. The method is based on: • The Population Register, • other administrative register data. The aim of the method – to estimate the status of the actual or de facto place of residence at the beginning of the year for every resident registered (on individual level) in Latvia. Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  6. Use of administrative data in the estimation of the number of population in Latvia (2) The Logistic regression model had been developed to evaluate the residence status. With the help of administrative register data, on each person registered within The Population Register there are more than 200 characteristic variables developed. http://www.csb.gov.lv/sites/default/files/dati/demstat_metodologija_eng_gala.pdf Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  7. Use of administrative data in the estimation of the number of population in Latvia (3) At the beginning of 2016: 43 administrative data sources are used to estimate population. This year their number will be increased with information on a person’s level on: • students studying abroad; • visitors of libraries; • personalized e-ticket users in Riga; • seamen and diplomats. Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  8. Administrative data sources that characterize the economic activity of the population in Latvia Grant project: «Improvement of the use of administrative sources (ESS.VIP ADMIN WP6 Pilot studies and applications)» Objective: feasibility study on use of administrative data and information from statistical sample surveys to obtain data for the 2021 Census section on economic characteristics of population: • Current activity status; • Occupation; • Industry (branch of economic activity); • Status in employment. Population to be studied: Persons included in the Labour Force Survey (LFS) sample for 3rdand 4th quarter 2014 and 1st and 2nd quarter 2015. LFS data comparison with corresponding information available from administrative data sources. Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  9. Administrative data sources that characterize the economic activity of the population in Latvia (2) Current activity status Economically active population (age 15+) Employed persons: • In total data about 96% of employed persons found in administrative data sources. • State Revenue Service (SRS) contains data of sufficient quality to count employed persons. Additional metadata necessary to complete timeliness, relevance and comparability assessment. • Statistical Farm Register (SFR) gives contribution in identification of employed persons. Further investigations about criteria to be used should be performed. Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  10. Administrative data sources that characterize the economic activity of the population in Latvia (3) Current activity status Economically active population (age 15+) Unemployed persons: • Comparative analysis of definitions was carried out. • State Employment Agency (SEA) annual file should be used (situation on 31.12.). • SEA data represents typical age of unemployed persons (15 – 62) as just ~2% of unemployed persons are older in accordance with the LFS. • LFS shows higher number of unemployed persons as SEA (~15%). • Unemployed persons in accordance with the SEA partly have a different status in the LFS: ~4% employed, ~23% not seeking job. Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  11. Administrative data sources that characterize the economic activity of the population in Latvia (4) Occupation SRS collects data about occupation since 2014. Main Job: • ~80% of employed persons have just one job. Occupation: • Occupations with the highest compliance between LFS and SRS were: dentists; physiotherapists; customs and border inspectors; locomotive engine drivers; bus and tram drivers; general medical practitioners etc. • Occupations with the lowest compliance between LFS and SRS were: manufacturing supervisors; Web technicians; production clerks; handicraft workers not elsewhere classified; mixed crop growers etc. • Occupations, where more precise information available in the SRS: police officers, accountants, teachers etc. Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  12. Administrative data sources characterising economical activity of population in Latvia (5) Research during the 2nd half of the grant project will be done on: Currently not economically active population (Persons below working age (0-14); Pension recipients; Capital income recipients; Students; Others) • Research of State Social Insurance Agency, National Education Information System, Higher Education Institutions data. Industry (branch of economic activity) • Research of SRS, Statistical Business Register (SBR) and SFR data. Status in employment (Employees, Employers, Own account workers, Other members of the labour force) • Research of SRS, SBR and SFR data. Besides the Grant project includes detection of the "outliers" values, working out of proposals for further steps of administrative data processing and proposals for future work on imputation methodology to be used. Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  13. A pilot project on working out the quality system of administrative data Working out of the administrative data quality system was initiated in Latvia in 2016. Dutch experience is used as a model. A detailed analysis of the information included in The Population Register was made during the pilot project. Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

  14. Thank you for your attention! Budapest, Hungary, 21 – 22 April, 2016 ESSnet Workshop on Multisource Statistics

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