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See handouts: Card for list of samples and usage statistics

Explore the valuable source of integrated census microdata for statistical analysis of internal and international migration. Learn how to access, analyze, and interpret this data for in-depth migration studies. Benefit from a wealth of published examples and available metadata.

sharoncarter
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See handouts: Card for list of samples and usage statistics

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  1. Integrated census microdata: a valuable, virgin source for statistical analysis of internal and international migration www.ipums.org/internationalRobert McCaa, rmccaa@umn.edu • See handouts: • Card for list of samples and usage statistics • Pamphlet for list of participating statistical offices and tips for using integrated microdata and metadata

  2. Buenos Aires beats the Big Apple (NYC) --and the mini-Apple too (Minneapolis)! Traffic to the IPUMS-International websiteGoogle Analytics, Aug 1 – Sep 15, 2013

  3. Outline of presentation • Introduction: • IPUMSI 100 partners and 238 integrated samples • How IPUMSI adds value to microdata • B. Migration analysis using integrated microdata • Published examples: many countries, one • Topics of migration analysis • C. How integration works • Integrated variables names and codes • Integrated metadata: comparability and codes • D. Invitations: • NSOs: participate in IPUMSI • Researchers: download and analyze samples

  4. IPUMS-International: 2013 IPUMS-International darkgreen = anonymized, harmonized and disseminating74 countries, 238 samples, 540 millonperson recordsmedium green = integrating (25 countries, 75 censuses, 100 mill.)light green = negotiating Mollweide projection

  5. 238 samples, 74 countries, 540 million person records (2014: ~260 samples, 80 countries—thank you UkrSTAT!) More countries and samplesadded yearly

  6. NSI entrusts census metadata and anonymized microdata to MPC MPC integrates metadata and confidentializes microdata samples IPUMS-International MPC …. IPUMS-International manages access and entrusts researchers with custom-tailored <ddi> , SAS, STATA, and SPSS metadata and microdata extracts for any combination of countries, censuses, sub-populations, and variables NSI 100+ NSI 1 …. IPUMS-International microdata extract system Trusted researcher downloads customized extracts Trusted researcher Trusted researcher Trusted researcher

  7. How IPUMS-International adds value to census microdata • Conditions of access to census microdata are the same for all countries and users (registration required, free of cost). • Statistical confidentiality and security – disclosure controls, access restricted to researchers • Integration/harmonization – census microdata and metadata • E.g.: migration since birth, last 1/5/10 years, previous residence • Dissemination – custom tailored extracts: country(ies), census(es), sub-populations, variables, sample density, metadata – all are customizable by the researcher • Sharing - • Microdata with national statistical office partners • Research results with other researchers, NSOs, etc.

  8. Outline of presentation • Introduction: • IPUMSI 100 partners and 238 integrated samples • How IPUMSI adds value to microdata • B. Migration analysis using integrated microdata • Published examples: many countries, one • Topics of migration analysis • C. How integration works • Integrated variables names and codes • Integrated metadata: comparability and codes • D. Invitations: • NSOs: participate in IPUMSI • Researchers: download and analyze samples

  9. Applied research example: Brain drain may lead to brain gain Docquier, Defoort and Beine. World Development, April 2011:523–532

  10. Policy finding: Migrants have lots of young children needing services “Urban Services and Child Migration to the Slums of Nairobi” World Development. Volume 40, Issue 9, September 2012, Pages 1854–1869 Caroline S. Archambault. Utrecht University, Utrecht, The Netherlands Joost de Laat. World Bank, Washington, USA EliyaMsiyaphazi Zulu. African Institute for Development Policy (AFIDEP).

  11. IPUMS-International registered citations , Total = 600+“Migration” = 97 • Internal migration 41 International migration 56 • Single country 44 Global/Developing/OECD 38 • Topics: • Brain drain 5 • Human capital 22 • Stocks and flows 21 • Example citations: • Docquier, Frédéric, ÇaglarÖzden, Christopher Parsons, ErhanArtuc. 2012. “A Global Assessment of Human Capital Mobility: the Role of non-OECD Destinations.” • Sander, Nikola, Jana Vobecka. 2012. “A Cross-National Comparison of the Spatial Structure of Internal Migration by Level of Educational Attainment.”

  12. Topics of Migration Research International and internal migration Lifetime migration – birthplace Migration during past 1, 5 or 10 years Period migration – previous residence Return migration – birthplace and previous residence Comparison of migrants to non-migrants in receiving area demography, occupation, education, housing, assets Comparison of migrants to non-migrants from sending area Migrant living arrangements – family structure Migrant access to services – electricity, plumbing Second generation – native-born children of migrants Intermarriage native and non-native Contextual effects – e.g., local migrant concentration

  13. Outline of presentation • Introduction: • IPUMSI 100 partners and 238 integrated samples • How IPUMSI adds value to microdata • B. Migration analysis using integrated microdata • Published examples: many countries, one • Topics of migration analysis • C. How integration works • Integrated variables names and codes • Integrated metadata: comparability and codes • D. Invitations: • NSOs: participate in IPUMSI • Researchers: download and analyze samples

  14. Integrated migration variables (IPUMS-International) Variable No. Internal migration Place of residence 1/5/10 years ago 113 Place of previous residence 67 Years residing in current locality 71 Reason for migration 22 Major administrative division of birth 145 International migration Country of residence 1/5 years ago 55 Country of previous residence 41 Nativity 175 Country of birth 130 Citizenship status 111 Country of Citizenship 76 Year of immigration 46

  15. 14 Integrated migration variables for 16 selected countries

  16. Example of integrated variable: NativityComparability (click tabs for other metadata) See: https://international.ipums.org/international-action/variables/NATIVTY#comparability_section

  17. Example of integrated variable: NativityCodes (case-count view aids in constructing extracts)

  18. Outline of presentation • Introduction: • IPUMSI 100 partners and 238 integrated samples • How IPUMSI adds value to microdata • B. Migration analysis using integrated microdata • Published examples: many countries, one • Topics of migration analysis • C. How integration works • Integrated variables names and codes • Integrated metadata: comparability and codes • D. Invitations to: • NSOs: participate in IPUMSI • Researchers: download and analyze microdata

  19. Conclusion: Invitation to participatehelp make census microdata universal • Invitation to participate • Uniform Memorandum of Understanding for each partner • IPUMSI does the integration work—both microdata and metadata • IPUMSI is responsible for dissemination approvals and monitoring • Benefits • Use census microdata for policy planning and scientific research • Plan with dependable, meaningful data to improve the common good • Promote the census as a national, scientific enterprise above politics, region, religion or sectarianism • Build statistical capacity for technical staff • Swell national pride • Blame IPUMSI when something bad happens • Researchers: register and download the data as needs require

  20. The end.Thank you • Introduction: • IPUMSI 100 partners and 238 integrated samples • How IPUMSI adds value to microdata • B. Migration analysis using integrated microdata • Published examples: many countries, one • Topics of migration analysis • C. How integration works • Integrated variables names and codes • Integrated metadata: comparability and codes • D. Invitations: • NSOs: participate in IPUMSI • Researchers: download and analyze samples

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