IPUMS-International: Migration analysis using integrated census migration

1
Integrated census microdata a valuable,
virgin source for statistical analysis of
internal and international migration
www.ipums.org/internationalRobert McCaa,
rmccaa_at_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 dark green anonymized,
harmonized and disseminating 74 countries, 238
samples, 540 millon person 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 countriesthank
you UkrSTAT!)
Africa Africa Americas Americas Asia Asia Europe Europe
Burkina Faso 2 Argentina 5 Armenia 1 Austria 4
Cameroon 3 Bolivia 3 Bangladesh 3 Belarus 1
Egypt 2 Brazil 6 Cambodia 2 France 7
Ghana 1 Canada 4 China 2 Germany 4
Guinea 2 Chile 5 Fiji 5 Greece 4
Kenya 5 Colombia 5 India 5 Hungary 4
Malawi 3 Costa Rica 4 Indonesia 9 Ireland 8
Mali 2 Cuba 2002 1 Iran 1 Italy 1
Moroco 3 Ecuador 6 Iraq 1 Netherlands 3
Rwanda 2 El Salvador 2 Israel 3 Portugal 3
Senegal 2 Haiti 3 Jordan 1 Romania 3
Sierra Leone 1 Jamaica 3 Kyrgyz Republic 2 Slovenia 1
South Africa 3 Mexico 7 Malaysia 4 Spain 3
South Sudan 1 Nicaragua 3 Mongolia 2 Switzerland 4
Sudan 1 Panama 6 Nepal 1 Turkey 3
Tanzania 2 Peru 2 Pakistan 3 United Kingdom 2
Uganda 2 Puerto Rico 5 Palestine 2
Saint Lucia 2 Philippines 3
United States 7 Thailand 4
Uruguay 5 Vietnam 3
Venezuela 4
More countries and samplesadded yearly
6
NSI entrusts census metadata and anonymized
microdata to MPC
MPC integrates metadata and confidentializes
microdata samples
.
IPUMS-International manages access and entrusts
researchers with custom-tailored ltddigt , SAS,
STATA, and SPSS metadata and microdata extracts
for any combination of countries, censuses,
sub-populations, and variables
.
IPUMS-International microdata extract
system Trusted researcher downloads customized
extracts
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 2011523532
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 18541869 Caroline S.
Archambault. Utrecht University, Utrecht, The
Netherlands Joost de Laat. World Bank,
Washington, USA Eliya Msiyaphazi Zulu. African
Institute for Development Policy (AFIDEP).
11
IPUMS-International registered citations , Total
600Migration 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, Çaglar Özden, Christopher
  Parsons, Erhan Artuc. 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
14
Integrated migration variables (IPUMS-Internationa
l)
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/internationa
l-action/variables/NATIVTYcomparability_section
17
Example of integrated variable NativityCodes
(case-count view aids in constructing extracts)
18
Outline of presentation
19
Conclusion Invitation to participatehelp make
census microdata universal

• Invitation to participate
• Uniform Memorandum of Understanding for each
  partner
• IPUMSI does the integration workboth 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