United Nations Economic Commission for Europe Statistical Division How to Analyze the Impact of Migration on Individuals, Households, and Geographic Areas Jason Schachter, Statistician United Nations Economic.
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United Nations Economic Commission for Europe Statistical Division How to Analyze the Impact of Migration on Individuals, Households, and Geographic Areas Jason Schachter, Statistician United Nations Economic Commission for Europe Towards better Evidence on Migration and Development in Eastern Europe and Central Asia, Capacity-building Workshop on Migration Statistics Almaty, Kazakhstan, 31 October, 2013 Why are migration statistics needed? Better understand migration processes/experiences Monitor the conditions of migrants Improve policy making and planning • Immigration control and support, diaspora, remittances, etc. Inform public debate Jason Schachter - UNECE Statistical Division Slide 2 What type of data should be collected? Policy-driven research questions • ‘Size” of “migrant” population • “Characteristics” of migrants, e.g. for specific groups (refugees, highly skilled workers, characteristics of returnees, labour force experiences, etc.) • “Impact” of migration on people and areas (e.g. remittances and their development potential) Jason Schachter - UNECE Statistical Division Slide 3 Possible Positive Impact of Emigration Reduction of unemployment and stress on public services and infrastructure in country of origin Increase of income and standard of living of outmigrants and non-migrant household members (via remittances) Increase of trade and transnational relations through diaspora networks Return migrants bring back skills and resources acquired abroad Jason Schachter - UNECE Statistical Division Slide 4 Possible Negative Impact Leaves behind an older population (outmigration of the young, highly educated, and economically active) Outmigration of specific industries and occupations (e.g. health care), and loss of human capital (and wealth) Depopulation, with an impact on future development, employment opportunities, public infrastructure, taxes, health care services,etc. Jason Schachter - UNECE Statistical Division Slide 5 Possible Negative Impact, cont. Imbalanced regional development (rapid urbanization, depopulation in rural areas, etc.) Dependency on remittances Impact of remittances on the value of local currency, and its effect on trade November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 6 Units of Analysis National/Regional/Community • Socioeconomic and contextual data Household • All household members • Living conditions • Housing characteristics • Remittances Individual • Migration history • Personal characteristics (age, sex, education, etc.) • Reason for move • Economic activity (before and after move) • Social networks Jason Schachter - UNECE Statistical Division Slide 7 Dimensions of Analysis Size Characteristics Impact Jason Schachter - UNECE Statistical Division Slide 8 Size Stock of international migrants Size of diaspora Number of in-migrants over last 12 months Net migration rate Amount of money sent to household from outside the country Jason Schachter - UNECE Statistical Division Slide 9 Characteristics Demographic (e.g. age, sex, race) National origin/Nativity Education Marital status Labour force activity/employment status/income Remitter/remittance recipient Jason Schachter - UNECE Statistical Division Slide 10 Impact More difficult to measure “The action of one object coming forcibly into contact with another”/“a marked effect or influence” • Can impact positively or negatively • Data scarcer • November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 11 Impact of Migration (some dimensions) Economic • Education • Fertility, mortality, population growth/decline, etc. Health • Investment, attainment, quality, etc. Demographic • Income, poverty, economic growth, employment, etc. Healthcare, disease prevalence, etc. Social/Gender • Female migrants’ opportunities, gender roles, attitudes, family structure, cultural values, etc. Jason Schachter - UNECE Statistical Division Slide 12 Can have an impact on (units of analysis): Individuals • Current and return migrants Households/Families Geographic Areas (local and national) • Environment November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 13 How to Measure/Analyze Measurement of change since migration • Comparison of an individual’s current characteristic and characteristic just before move At either the individual or household level • Subjective (how was health before move/ how is health now) • Objective (level of education, labour force status, income levels) November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 14 Other Examples Household income with and without remittances, changes in wages, benefits of education, etc. Acquisition of skills since migration experience November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 15 How to Measure/Analyze Characteristics of both migrants and non-migrants (compare groups) • Comparison of migrant vs. non-migrant households Household income/expenditure Business ownership trends/entrepreneuriship Ability to save November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 16 Health example Migration could potentially harm health through exposure to poor nutrition, living conditions, lack of access to social services or exposure to new diseases. Migration may provide migrants with better living conditions and higher incomes than those in their home country, improving their health, increase expenditure on health care, etc. November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 17 Analysis for Geographic Areas Change in: • Population growth/decline • Aggregate characteristics (e.g. age structure, poverty rates, labour force composition,etc.) • Other contextual variables Strain on local infrastructure • Services, tax revenue, etc. Rural vs. Urban November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 18 Indirect Impacts of Migration Transfer of ideas Potential behaviorial changes (e.g. increase chance of migrating; field of education; language acquisition) Cultural changes • Change attitudes towards gender roles. November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 19 Analysis of Differences Descriptive • Measures of central tendencies (mean) and variation (deviation from mean) Inferential/Inductive • Probability that observed differences between groups are real General Linear Model (T-Test, ANOVA, Regression analysis, etc.) November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 20 If differences between groups are found causality issues to be aware of Reverse Causality • Self-Selection • Migration does not cause increased income, but increased income increases the possibility of migrating Comparisons between migrants and non-migrants are not valid, since migrants might be different from non-migrants Multivariate analysis and other analytical techniques can help control for these factors November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 21 Policy Needs vs. Data Availability Policy often needs rapid and definite answers and solutions • • Policy makers should be committed to evidence-based policy making Data not always available Quality research takes time and does not always provide definitive answers Often use results selectively Researchers need to be aware of policy contexts Need to present findings in easily accessible and comprehensible formats November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 22 Use of Indicators to measure impact at National (and Global) Level What is an indicator? • Indices, way to measure something (size) • Output (monitoring), outcome (evaluation), goals Set benchmarks and targets • Measure progress towards goals (performance) Monitor trends over time Quantitative vs. Qualitative (subjective) • Qualitative can be used to measure change/impact (selfperception) MDGs • Sustainable Development Goals November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 23 Post-2015 Development Agenda Indicators (SDGs) Set Targets • Clear, consise, objectively measured • Use easy to understand numerical scales • Able to aggregate to represent global and regional trends Used for Monitoring Progress November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 24 Criteria for Indicators «Outcome» indicators focused on long-term results • Measurable over time with data collected by countries • Use official statistics/stay within their capacity Inform policy Clear and easy to communicate to public Limited number • Levels and trends over time Should be within regular statistical output Consistency over time • Use international standards November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 25 Indicators for Post-2015 Agenda? How can impact of migration be measured within these pillars? • • • Social Environment Economic What other indicators would be useful? Should migration be included in SDGs? • • Data availability issues Lack of harmonization November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 26 IOM Indicators (broad categories) (2012) Economic and Assets Demography Education Health Gender Wider Social Governance and Rights Environment Other Transfers November 7, 2015 Jason Schachter - UNECE Statistical Division Slide 27