Development of a framework for use of administrative data

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Presentation transcript:

Development of a framework for use of administrative data for business statistics Yanka Nikodimova 29.06.2009 Luxembourg Eurostat project “Implementation of a more efficient way of collecting data”

“Implementation of a more efficient way of collecting data” Content Reduction of respondents’ burden Register of insured persons Study and the identification of other administrative registers, containing useful data for business statistics 29.06.2009 Luxembourg Eurostat project “Implementation of a more efficient way of collecting data”

Reduction of respondents’ burden Priority of NSS development Wider use of administrative sources last amendments of Law on Statistics (November 2008) development of means for coordination of activities on building-up, maintaining and using administrative sources for statistical purposes within NSS; development of means for NSI conducting continuous monitoring of used methodologies and changes of the national registers and information systems and for estimating the possibilities of using data derived from them for statistical purposes Improving efficiency of statistical tools 29.06.2009 Luxembourg Eurostat project “Implementation of a more efficient way of collecting data”

Register of insured persons Analysis of differences between survey data and relevant administrative data Quality problems Proposals for improving quality 29.06.2009 Luxembourg Eurostat project “Implementation of a more efficient way of collecting data”

Register of insured persons Analysis of differences between statistical definitions and variables and relevant administrative definitions (1) Variable Statistical survey Register of insured persons Number of days worked Actually days worked Included actually days worked and days due to paid leave Number of hours worked Actually hours worked, including overtime hours worked Hours paid but not actually worked, such as for annual leave, public holidays and sick leave are excluded Included actually hours worked, overtime hours worked and hours paid but not actually worked, such as for annual leave and public holidays 29.06.2009 Luxembourg Eurostat project “Implementation of a more efficient way of collecting data”

Register of insured persons Analysis of differences between statistical definitions and variables and relevant administrative definitions (2) Variable Statistical survey Register of insured persons Social expenses Social expenses (including those paid in kind) paid by the employer to the employees such as food coupons; maintenance of holiday homes; one-time payments for medicines, childbirth, death in the family, transport, clothing, etc Social expenses which are due to social and health contributions Employer Enterprise, local unit Insurer – legal units, persons or branches/subsidiaries of legal units which pay social and health insurance contributions Comment: It is reflected to data by economic activity 29.06.2009 Luxembourg Eurostat project “Implementation of a more efficient way of collecting data”

Employees by Economic Activity Groupings in 2006 Average annual number of employees from statistical survey Average annual number of employees from Register of insured persons Total 2 267 727 2 322 299 Agriculture, hunting, forestry and fishing 66 120 64 518 Mining and quarrying 29 615 25 899 Manufacturing 626 452 609 989 Electricity, gas and water supply 55 533 54 691 Construction 166 259 165 077 Trade, repair of motor vehicles and personal and household goods 336 810 376 003 Hotels and restaurants 91 212 100 163 Transport, storage and communication 162 115 163 287 Financial intermediation 37 995 37 914 Real estate, renting and business activities 141 402 193 645 Public administration; compulsory social security 134 349 205 702 Education 190 789 132 671 Health and social work 126 954 113 942 Other community, social and personal service activities 102 122 77 855 Extraterritorial organizations and bodies - 943 29.06.2009 Luxembourg Eurostat project “Implementation of a more efficient way of collecting data”

“Implementation of a more efficient way of collecting data” Quality problems Double data records total records for 2006 - 32 946 015 records for employees - 28 531 155 double records for 142 701 insured persons Missing data for occupation, gross salary, net salary, tax income and number of hours worked occupation – 423 263 records for employees gross salary – 8 169 178 records for employees net salary – 1 718 081 records for employees tax income – 1 932 502 records for employees number of hours worked – 57 796 records Wrong data for number of hours worked Identification number of insurers 29.06.2009 Luxembourg Eurostat project “Implementation of a more efficient way of collecting data”

Proposals for improving quality of Register of insured persons Variables occupation, gross salary, net salary, tax income, tax on monthly salary and number of hours worked should be mandatory for all records for employees Change of content of the register - collect additional data for actually days/hours worked and identification number of employer 29.06.2009 Luxembourg Eurostat project “Implementation of a more efficient way of collecting data”

“Implementation of a more efficient way of collecting data” Study and the identification of other administrative registers, containing useful data for business statistics Administrative data for retail sales premises Administrative data from Communications Regulation Commission 29.06.2009 Luxembourg Eurostat project “Implementation of a more efficient way of collecting data”