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Statistical Coherence: Census Hub Hypercubes and IPUMS Microdata. UNECE Expert Group on Population and Housing Censuses Geneva, 23-26 September 2014 Lara Cleveland University of Minnesota, USA clevelan@umn.edu with Robert McCaa 1 , Matt Sobek 1 , Albert Esteve 2 , and Antonio Lopez 2
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Statistical Coherence: Census Hub Hypercubes and IPUMS Microdata UNECE Expert Group on Population and Housing Censuses Geneva, 23-26 September 2014 Lara Cleveland University of Minnesota, USA clevelan@umn.edu with Robert McCaa1, Matt Sobek1, Albert Esteve2, and Antonio Lopez2 1University of Minnesota, USA 2Autonomous University of Barcelona, Spain
CED Barcelona: IECM DWB: Jan 2015 Workshop for microdata researchers INGRID: June 2015 Workshop for IPUMS partners after Conference of European Statisticians Albert Esteve: aesteve@ced.uab.es
Census Hub and IPUMS Microdata Complementary means of dissemination Serve different constituencies Census Hub open access, counts, descriptive statistics IPUMS Microdata research or policy access, multivariate analysis
Relation to head Marital status Occupation Microdata Education
Microdata vs. Hub Data Both: harmonize data internationally; pooled output; provide metadata Microdata samples = flexibility (IPUMS/IECM) • Download data for analysis • Multivariate modelling • Denominator • Household-level samples: individual behavior in context
Household Microdata Example: Foreign-born persons in union with native-born (ca. 2000)
Statistical Coherence Comparison of Hub and IPUMS Data • Coherence Hub and IPUMS/IECM sample data • Between sources • Across census years • Method: cohort analysis • By birth year • Proportion completed secondary education • Expected Results: Results should match for each year of birth • Between sources from the Hub and IPUMS/IECM • Across censuses from different years • Net of some effect of migration and mortality
Secondary Education Completed: Austria 83% of people born in 1986 completed secondary 40% of people born in 1922 completed secondary
Results and Reflections IPUMS/IECM census microdata High degree of correspondence with official totals Census microdata dissemination benefits • High quality documentation • Persistent data quality assessment • Large research and policy impact • Excellent user support
Researchers and the IPUMS goals • Preservation NSO: Current and future Res: Change over time – empirically • Harmonization NSO: Standards in National Context Res: Cross-country and cross-temporal • Dissemination NSO: Specific format Res: Single format across all data sources • Serves small specialty audience
Thank you! ipums.org clevelan@umn.edu