Linking statistical registers for production of official statistics - Statistics on public sector employment -

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Expert meeting on data that leaves no one behind (2017. 8. 29) Linking statistical registers for production of official statistics - Statistics on public sector employment - Youngmi Lee (Statistical Research Institute) Expert meeting on data that leaves no one behind (2017. 8. 29) 1. 2. 3. Future plan of data integration for SDGs 1

Organization Legal basis Providing legal basis for obtaining and using administrative data Statistics Act ('07.10), Framework Act on National Taxes ('09.2) Article 24 (Provision of Administrative Data), Statistics Act 1 If necessary for the collection of statistics, the head of a central administrative agency or the head of a local government may request the head of a public institution to provide administrative data. 2 When the head of a public institution is requested to provide administrative data pursuant to paragraph 1,he/she shall comply therewith unless there is a good cause prescribed by Presidential Decree, such as the disclosure of, etc., national secrets or important secrets of individuals or enterprises. Article 81-13 (Confidentiality), Framework Act on National Taxes Provided, That in cases falling under any of the following subparagraphs, the tax official may offer the taxation information of taxpayers, insofar as it is appropriate for the purpose of use: 5. When the commissioner of the Korea National Statistical Office requests taxation information for compiling national statistics; 2

Administrative Data Acquisition Obtained 197 kinds of admin. data from about 70 institutions (as of 2016) Government Local Government Related Government Agency Public Enterprise Financial Business Association Public Institution Various Association Total Economic Statistics Bureau Social Statistics Bureau 64 18 5 4 1 9 101 68 3 8 1 1 3 5 89 Administrative Statistics 4 2 1 7 Total 136 3 28 6 5 5 14 197 Utilization of administrative data Replacement of survey item: 37 Among the 61 statistics of the National Statistical Office, the possibility of replacing survey items was examined based on "ease" and "utilization and as many as 37 survey items were replaced. Verification and supplementation of survey items : 13 In order to improve the quality of survey statistics, it is used for verification and supplementation of 13 items. Foreign employment survey, Household financial welfare survey, Farm household economy survey, Agriculture/Forestry and Fisheries survey, Agricultural Area Survey, Fishery economy survey, Fishery production trend survey, Fish culture trend survey, Household Trend Survey, Cattle trend survey, Construction industry survey, Statistics on cause of death, Grain consumption survey 3

Utilization of administrative data Producing new statistics using the administrative data Farm/Fishing Village returner statistics, Newly married couple statistics, Statistics of house ownership, Business establishment and dissolution administrative statistics, Job administration statistics, Retirement pension statistics, Profit Corporate Administrative statistics Enrollment census in 2015 12 items are replaced by administrative data Some items are only sample surveyed by 20% of the population Significant reduction of response burden (about 40 million people) Budget reduction (about 145 billion won) Challenge Still difficult to obtain admin. data Repeated acquisition and process with the holding organization every year Difficulties in obtaining statistical information from public authorities that do not adopt the statistical law : judicial authorities, banking associations, private institutions, etc. Personal financial income data No error feedback function in original data There is no quality improvement system to feedback the error of administrative data to the data holding organization 4

Future plan Provide microdata of administrative statistics Produce the customized statistics for policies - Education for multicultural children, supply of newly-married couple housing, reemployment of middleaged and elderly people, Profile analysis for employment of women with career cuts, college employment and workplace Changes Establish the statistical register based on administrative data population, household, business, housing, employment register Expert meeting on data that leaves no one behind (2017. 8. 29) 1. 2. 3. Future plan of data integration for SDGs 5

Decent work and economic growth Promote inclusive and sustainable economic growth, employment and decent work for all 8.5 By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal value Job Committee What : Generating new jobs and Improve job quality When : 2017.5. Who : President(Chair), 11 minister and 30 related organization including civil societies(member) Increasing the number of jobs in public sector Transforming temporary position to permanent position 6

Objective produce statistics for supporting a policy-making related to job in public sector Unit Filled employment position by worker in public sector item Worker : sex, age, status in employment Enterprise : type, number of workers, active years, KSIC, COFOG General Gov. Public Public Cop, Central Local Social security fund Nonfinancial Financial Reference period Yearly (base month : December) (UN 2008 SNA) Sources Social Insurance Tax National pension, Health insurance, Employment insurance, Industrial accident insurance etc. Business registration data, corporate tax, VAT, earned income, business income data Population Register Population and household DB (register census ) Others Establishment survey data 7

Personal items(6) Worker(7) Source Name Gender Age Acquisition of qualification date Loss of qualification date Status at work Type of work Type of work Acquisition of qualification date (Date of entering the company) Loss of qualification date Type of income Income Social insurance subscription status Item Name Gender Age Service period Service period Status at work Type of work Main/side jobs Length of service Length of service work, business, daily income income type of Social insurance Source Business registration number Place of business management number Corporation registration number Establishment industrial classification Item Forms of business Characteristics of place of business Characteristics of corporation Establishment industrial classification enterprise Enterprise industrial classification Corporation classification number number of workers in establishment number of workers in enterprise workers, sales foundation date closure date enterprise sales establishment sales Enterprise industrial classification public/non-public number of workers in establishment number of workers in enterprise type of enterprise Length of service Length of service enterprise sales establishment sales capital 8

1. Employment register 2. Database for employment statistics Collect administrative data Enterprise job Establish database (refine the data) Link and Integrate data Establish database (Workers and Enterprise) Edit and Imputation Employment Register ER t-1 Pin+ brn ER t Death Birth Active destrution creation Change creation destruction No change Share of public employment in total employment General Gov. 1,989 (7.6%) Share of maintaining employment in total (Public vs Non-public) Public cop. 346 (1.3%) Private Unit : thousands ( ) : Share of public employment in total employment 9

Public sector s employment by sex Composition of General Gov s employment by COFOG* * Classification of the Functions of Government Share of maintaining employment of Gov. by official 69.4 % 30.6 % 10

Proportion of employment of Gov. (by age, official) Proportion of employment of Gov. (by length of work, official) years old years Expert meeting on data that leaves no one behind (2017. 8. 29) 1. 2. 3. Future plan of data integration for SDGs 11

Future plan of data integration for SDGs Need to explore various data source such as cellphone data, satellite and GIS data and etc. Strong privacy protection environment Cost to acquire data (business model for private organization) Develop data security & privacy protection framework Establish the partnership between NSO and private organization SDGs is good chance for NSO to coordinate the data provision through communication with data providers including government, private sector, civil society and etc. which can provide data for SDGs indicators. 12