Quality assessment in a register-based census administrative versus statistical concepts in the case of households Danilo Dolenc Statistical Office of the Republic of Slovenia Q 2010, Helsinki, 6. 5. 2010
Introduction p First register-based census in Slovenia in 2011 n n Slovenia is a rare example of change of the main census method 2002 Census – the first step q Data p on persons only Development from 2002 n n n Real Estate Register and dwelling number Adding dwelling number to CPR Establishment of electronic Household Register q Exist before in paper form
Household Register p The only source for household and family data n n Household code (serial number) Relation to the reference person q Statistical p classification used in 2002 Census Great advantage in register based census approach n n In principle all obligatory topics from EU Regulation could be derived from relations Very unique comparing to the other countries
Classification Code Relation to the reference person 00 reference person 01 spouse 02 cohabiting partner 03 child 05 father / mother 06 father-in-law / mother-in-law 07 grandfather / grandmother 08 son-in-law / daughter-in-law 09 grandchild 10 brother / sister 11 nephew / niece 12 other relative 13 non-relative
Household matrix (simple) Relation H size F size 2 Ref. persons Cohabiting Daughter Son-in-law Grandchild Mother H type 6 persons 3 persons - Two or more family household F type H status Consen. union* Partner Married H/W couple H/W with res. children Child - Living** F statu s Partn er CU H/W * without resident children H/W Child ** with relatives (not in family nucleus) - Unique matrix for every single combination of relations in household
New household definition p Four dimensions n n p Statistical residence (based on registered one) Same dwelling Self-declared household Existing relation to the reference person (for family formation) A group of persons (or person living alone) living in the same dwelling with the same household number n Housekeeping concept
Quality aspects of HR data (1) p Maintaining of the HR n p Recently established source n p Purely administrative purposes Not used for the statistical purposes yet Legislation n Household data only for permanent residence q n Collective households not defined q p 5 % of population without basic household data 2 % of population Subjectivity n De facto and de iure residence q 10 % difference
Quality aspects of HR data (2) p Inconsistency and incompleteness n Missing data q Dwelling and household number q Relation to the reference person n Errors q Combination status, age relation to the reference person, marital – Most of mistakes are of subjective nature n Systematic inconsistency q Delay between CPR and HR data – Mostly in larger administrative units
Statistical vs. administrative (1) p Generation of institutional households n p Generation of private households n p Number of persons living at the address and type of living quarter as criteria Foreigners and citizens in statistically determined residence Statistically ‘’broken’’ households n n No reference person Reference person is under certain age
Statistical vs. administrative (2) p Complexity of relations in households n Multi-family households q Who belongs to the certain family q Too complicated matrixes p Not identifying relations n Relatives and non-relatives q Often p means cohabiting partner Misleading direct use of data n Case of monasteries
Quality analysis of the HR p Formally incorrect records - only 1 % n p Non-useful data for family formation – about 3 % n p Most common inverted relation comparing to the age Relatives, non-relatives, unknown relation Household/family generation n 86 % of population in complete (direct family formation only – simple matrixes) 8 % of population only households 6 % of population no generation at all
Household data quality assessment p Focus on improving quality of input data n Very close coopeation with administrative source q Priorities dwelling number and relation to the reference person p Statistical process n n p Unified and controlled by the same rules Introduction of quality indicators Comparability of data n Explanation of concepts and novelties q User oriented approach
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