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The Evolution of Global Bilateral Migration 1960-2000 Caglar Ozden Christopher Parsons Maurice Schiff Terrie Walmsley The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not


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The Evolution of Global Bilateral Migration 1960-2000

Caglar Ozden Christopher Parsons Maurice Schiff Terrie Walmsley

The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the World Bank, its Executive Directors or the governments they represent.

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Motivation

 Migration an issue of increasing international

importance

 Surprisingly little data, especially when compared to

financial or trade statistics

 Therefore one of the priorities of the World Bank

program on International Migration and Development

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Previous Work

 OECD-centric:

 Docquier & Marfouk (2006): Brain Drain  Docquier et al (2007): Gendered assessment of the Brain

Drain

 Docquier & Rapoport (2007): Control for age of entry  Harrison et al (2003): Stocks and remittances

 For the 2000 census round only:

 Parsons et al (2005, 2007): 226*226  Ratha and Shaw (2007)

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Who are migrants?

 Numerous definitions:

 Country of birth  Country of citizenship  Purpose of visit or visa type  Place of last permanent residence  Duration of stay

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Who are migrants?

 Why prioritize foreign born definition?

 Physical movement more appropriate

 Dependencies

 Changing nationality possible  Naturalization rates vary  Aggregate categories smaller in magnitude  Disputed territories more easily assigned

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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How are migrants recorded?

 Censuses vs. Populations Registers  Why prioritize censuses?

 Commonly conducted  Standardized questions  Comprehensive coverage, designed to

enumerate all residents

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Raw Data I

 Global Migration Database – UNPD

 3,500 census records  Over 230 destinations  Time, gender, age

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Raw Data II

Census Round

  • No. Birthplace

Sources

  • No. Nationality

Sources Total No. National Sources

  • No. Birthplace by

Gender

  • No. Nationality by

Gender 1960 102 68 141 95 63 1970 91 55 124 82 46 1980 126 87 156 112 79 1990 134 113 182 112 96 2000 126 120 169 103 96 TOTAL 579 443 772 504 380

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Raw Data III

Number of missing census rounds Number of Destination Countries Percentage of World Migration, in 2000 Percentage of World Migration in 2000, (excluding migrations within the former Soviet Union) 49 47 57 1 49 6 8 2 41 17 20 3 52 21 13 4 29 8 2 5 6 1 Total 226 100 100

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Challenge I – Defining Countries

 Issue: Tracking migrants meaningfully

  • ver time

 Break-ups: Soviet Union, India  Reunification: Germany, Yemen  Independence: Africa, Caribbean, Oceania

 Solution: 226*226 master list, over time

 203 sovereign nations +23 additions

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Challenge II – Recording and recoding

 Issue: Standardizing origin regions:

 A. Specific single entities: Vatican, Wake

Island, Isle of Man

 B. Aggregates: South America, Ex-French

Africa

 C. Miscellaneous: Born at sea, Unknown,

Stateless

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Challenge II – Recording and recoding

 Solution:

 Relabeling (10,000  522)  A. Aggregate single entities (226 from

Master list, 65 others)

 B. Disaggregate agglomerated categories

(231)

 C. Treat equally miscellaneous entries

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Challenge III – Standardizing Origins

 Issue: Disaggregating geographic

aggregates

 Solution:

 Identification  Propensity measures

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Challenge III – Standardizing Origins

 Equation 1 – Average Destination

Country Shares

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley 1970 , 1970 " " , , 1970 , , , 1970 , Australia n SovietUnio k n SovietUnio i total k Australia i k total k Australia Armenia total Australia Armenia

M M M M            

 

  

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Challenge III – Standardizing Origins

Origin Country listed in 2001 Australian census Total immigrants to Australia in 2001 Share of USSR migration to Australia in 2001 Number migrants allocated in 1966 across constituent countries Azerbaijan 145 0.3% 93 Armenia 899 2.0% 576 Belarus 1,041 2.3% 667 Estonia 2,386 5.2% 1,529 Georgia 310 0.7% 199 Kazakhstan 438 1.0% 281 Kyrgyzstan 101 0.2% 65 Latvia 6,690 14.6% 4,287 Lithuania 3,689 8.1% 2,364 Moldova 483 1.1% 309 Russian Federation 15,022 32.8% 9,625 Tajikistan 41 0.1% 26 Turkmenistan 26 0.1% 17 Ukraine 14,062 30.7% 9,010 Uzbekistan 412 0.9% 264 TOTAL USSR 45,745 100% 29,311

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Challenge III – Standardizing Origins

 Equation 2. Average Regional Shares

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

t Morocco Africa AcrossWest t k a NorthAfric f Africa AcrossWest i k f i t k a NorthAfric f k f Ghana t Morocco Ghana

M M M M

, , , ,

           

   

    

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Challenge III – Standardizing Origins

 Equation 3. Global Shares

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

  

  

          

J i t d i t k f i t f i t k f t f

  • t

d

  • M

M M M

, , , ,

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Challenge IV – Unharmonized Survey dates

 Issue: Census dates are not harmonised  Solution: Nothing

 Different version

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

Census Round % Censuses by birthplace % Censuses by Nationality 1960 75 71 1970 66 73 1980 73 70 1990 76 70 2000 84 76

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Challenge V – Missing Gender Splits

 Issue: Assigning gender splits to

aggregate data missing

 Solution: Propensity measures

 Regional shares  Regional shares over time

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Challenge VI – Combining Definitions

 Issue: Cannot easily combine Foreign

Born and Nationality data

 Solution: Prioritise foreign born (156)

 Not so much of an issue in Middle East and

East Asia

 Always choose if three or more census

rounds with foreign born data

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Challenge VII – Missing Census Data

 Issue: Many census rounds missing,

why?

 Lack of expertise  Some only very recent  Expensive  Conflict or Political upheaval  Politicised  Alternative definition

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Challenge VII – Missing Data

Issue 1: Missing in-between decades

Solution (42 country-years):

Interpolation

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Challenge VII – Missing Data

Issue 2: Missing end decades

Solution (115 country-years):

Missing year same composition as closest decade for which we have data

Apply bilateral shares to „total‟

Total either:

Given in census where no bilateral data

Closest decade adjusted for growth (refugees)

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Challenge VII – Missing Data

Issue 3: Very poor data (<3 censuses)

Solution (86 cases):

Adjust to United Nation‟s “Trends in World Migrant Stock” data

Consistent over time

Apply bilateral shares

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Challenge VII – Missing Data

Issue 4: Missing countries

Afghanistan, China, Eritrea, Lebanon, the Maldives, Qatar, Somalia, the People‟s Republic of Korea and Vietnam.

Solution (9 cases):

Calculate propensity of countries in the sub-region to accept migrants – disaggregate totals.

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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What the Data Show I

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

50 100 150 200 1960 1970 1980 1990 2000 Millions

Figure 1. The Evolution of the Global Migrant Stock, 1960-2000

Total Migrant Stock Total Stock excluding intra-Soviet Union and intra-South Asia migration

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What the Data Show II

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

5 10 15 20 25 30 35 1960 1970 1980 1990 2000 Millions

Figure 2a Growth of Migrant Stocks in selected regions

EU_15_EFTA HIGH_MENA AUS/NZ/CAN USA

5 10 15 20 25 30 35 40 1960 1970 1980 1990 2000 Millions

Figure 2b Growth of Migrant Stocks in selected regions

AFR ECA SAS

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What the Data Show II

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

0.00 5.00 10.00 15.00 20.00 25.00 30.00 35.00 40.00 45.00 1960 1970 1980 1990 2000 Millions

Figure 2c. Growth in migrant stocks from selected regions

MENA ECA EU_15_EFTA 0.00 5.00 10.00 15.00 20.00 25.00 30.00 1960 1970 1980 1990 2000 Millions

Figure 2d. Growth in migrant stocks from selected regions

EAP AFR LAC SAS

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What the Data Show III

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

0.00 0.50 1.00 1.50 2.00 2.50 3.00 1960 1970 1980 1990 2000 Percent

Figure 3. The World Migrant Stock as a Percentage of the World Population, 1960-2000

Total Migrant Stock Total Stock excluding intra-Soviet Union and intra-South Asia migration

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What the Data Show IV

Ranking 2000 Destination Immigrants Population % Dom. Pop. Ranking 1960 Destination Immigrants Population % Dom. Pop. 1 United States of America 32,700,000 284,153,738 12 1 United States of America 10,400,000 186,158,251 6 2 Russian Federation 13,400,000 146,709,971 9 2 India 9,056,684 442,344,099 2 3 Germany 7,296,817 82,344,434 9 3 Pakistan 6,350,297 46,259,285 14 4 France 6,227,127 59,278,011 11 4 France 3,798,656 45,684,002 8 5 India 6,166,931 1,021,084,243 1 5 Canada 2,718,023 17,909,009 15 6 Canada 5,418,261 30,689,036 18 6 Argentina 2,604,447 20,616,010 13 7 Saudi Arabia 5,130,983 21,484,344 24 7 Poland 2,424,881 29,637,546 8 8 United Kingdom 4,865,559 58,669,738 8 8 Australia 1,778,780 10,276,477 17 9 Ukraine 4,493,458 49,005,222 9 9 Indonesia 1,756,368 95,931,096 2 10 Australia 4,105,680 19,071,458 22 10 United Kingdom 1,657,157 51,571,997 3 11 Côte d'Ivoire 4,000,047 16,734,951 24 11 Hong Kong 1,636,761 3,075,097 53 12 Hong Kong 2,703,495 6,636,944 41 12 Russian Federation 1,615,981 119,631,633 1 13 Pakistan 2,640,947 142,648,139 2 13 Uganda 1,333,707 6,620,496 20 14 United Arab Emirates 2,285,643 3,247,000 70 14 Brazil 1,252,467 72,742,370 2 15 Uzbekistan 2,263,093 25,041,821 9 15 Israel 1,201,911 2,114,020 57

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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What the Data Show V

Ranking 2000 Origin Emigrants Population % Orig. Pop Ranking 1960 Origin Emigrants Population % Orig. Pop. 1 India 9,570,124 1,021,084,243 1 1 India 9,439,894 442,344,099 2 2 Mexico 9,304,050 100,087,890 9 2 Pakistan 8,572,667 46,259,285 19 3 Russian Federation 8,343,918 146,709,971 6 3 China 5,184,991 657,491,789 1 4 Ukraine 5,924,687 49,005,222 12 4 Italy 4,356,983 50,199,700 9 5 China 5,652,519 1,273,979,365 5 United Kingdom 3,181,852 51,571,997 6 6 Bangladesh 4,850,889 128,915,876 4 6 Ukraine 2,454,969 42,644,035 6 7 United Kingdom 4,134,576 58,669,738 7 7 Germany 2,379,150 72,673,000 3 8 Kazakhstan 3,861,836 15,032,140 26 8 Russian Federation 1,986,446 119,631,633 2 9 Pakistan 3,803,422 142,648,139 3 9 Spain 1,799,465 30,455,155 6 10 Germany 3,447,478 82,344,434 4 10 Poland 1,622,498 29,637,546 5 11 Turkey 3,275,787 68,234,388 5 11 Canada 1,103,039 17,909,009 6 12 Italy 3,219,676 57,714,838 6 12 Algeria 1,042,597 10,799,997 10 13 Philippines 2,919,212 75,766,144 4 13 Portugal 1,028,855 8,857,719 12 14 Burkina Faso 2,383,317 11,291,615 21 14 France 1,023,165 45,684,002 2 15 Egypt 2,221,031 67,285,498 3% 15 Belgium 972,241 9,153,489 11

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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What the Data Show VI

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

Figure 4. Immigrant Population as a Fraction of Destination Country Population, 2000

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What the Data Show VII

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

Figure 5. Emigrant Population as a Fraction of Origin Country Population, 2000

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What the Data Show VIII

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

10 20 30 40 50 60 70 80 1960 1970 1980 1990 2000 Millions

Figure 6a. The Evolution of Migrants Stocks Between the 'North' and the 'South', 1960-2000

South-South South-North North-South North-North

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What the Data Show IX

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

10 20 30 40 50 60 70 1960 1970 1980 1990 2000 Percent

Figure 6b. The Proportion of Global Migration accounted for by the North and the South

South-South South-North North-South North-North

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What the Data Show X

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

Intra-region 10 million+ Intra-region 5 million+ Intra-region 1-5 million Main Inter-region migrations

Figure 7. South-South inter- and intra-regional migration, 2000

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What the Data Show XI

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1960 1970 1980 1990 2000

Figure 8. The Composition of Immigration in the United States, 1960-2000

HIGH_MENA AFR AUS/NZ JPN CAN MENA SAS EAP ECA EU_15_EFTA LAC

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What the Data Show XII

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1960 1970 1980 1990 2000

Figure 9. The Composition of Immigration in Western Europe, 1960-2000

AUS/NZ HIGH_MENA JPN CAN USA SAS EAP LAC AFR MENA ECA EU_15_EFTA

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What the Data Show XIII

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1960 1970 1980 1990 2000

Figure 10. The Composition of Immigration in the High MENA region, 1960-2000

JPN USA AUS/NZ HIGH_MENA EU_15_EFTA EAP AFR CAN LAC MENA ECA SAS

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What the Data Show XIV

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1960 1970 1980 1990 2000

Figure 11. The Composition of Immigration in Australia , New Zealand and Canada, 1960-2000

JPN AUS/NZ MENA AFR CAN HIGH_MENA LAC SAS USA ECA EAP EU_15_EFTA

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What the Data Show XV

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1960 1970 1980 1990 2000

Figure 12. The Composition of Emigration from East Asia and the Pacific, 1960-2000

ECA MENA SAS LAC EU_15_EFTA AUS/NZ AFR HIGH_MENA CAN JPN USA EAP

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What the Data Show XVI

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1960 1970 1980 1990 2000

Figure 13. The Composition of Emigration from Eastern Europe and Central Asia, 1960-2000

AUS/NZ EAP AFR CAN LAC HIGH_MENA MENA SAS USA EU_15_EFTA JPN ECA

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What the Data Show XVII

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1960 1970 1980 1990 2000

Figure 14. The Composition of Emigration from Latin America and the Caribbean, 1960-2000

MENA SAS HIGH_MENA JPN EAP ECA AFR AUS/NZ CAN EU_15_EFTA LAC USA

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What the Data Show XVIII

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1960 1970 1980 1990 2000

Figure 15. The Composition of Emigration from North Africa and the Middle East, 1960-2000

LAC ECA CAN AFR EAP AUS/NZ USA MENA HIGH_MENA EU_15_EFTA SAS JPN

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What the Data Show XIX

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1960 1970 1980 1990 2000

Figure 16. The Composition of Emigration from Sub-Saharan Africa, 1960-2000

SAS JPN EAP AUS/NZ CAN ECA LAC MENA USA HIGH_MENA EU_15_EFTA AFR

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What the Data Show XX

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1960 1970 1980 1990 2000

Figure 17. The Composition of Emigration from South Asia, 1960-2000

AUS/NZ LAC JPN EAP AFR CAN ECA MENA USA EU_15_EFTA HIGH_MENA SAS

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What the Data Show XXI

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

4 4.5 5 5.5 6 6.5 7 1960 1970 1980 1990 2000

Log Migrant Stock

Figure 18. Selected Migration Corridors to the North, 1960-2000

MEX-USA TUR-DEU PHL-USA DZA-FRA GBR-AUS

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What the Data Show XXII

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

4 4.5 5 5.5 6 6.5 7 1960 1970 1980 1990 2000

Log Migrant Stock

Figure 19. Selected Migration Corridors to the South, 1960-2000

USA-MEX ITA-ARG BFA-CIV PAK-IND MLI-CIV

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What the Data Show XXIII

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

30 40 50 60 70

Percent

Figure 20a. Proportion of males in destination immigrant stocks, 1960 and 2000

1960 2000

30 40 50 60 70

Percent

Figure 20b. Proportion of males in origin emigrant stocks, 1960 and 2000

1960 2000

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Conclusion

 Pragmatism vs. accuracy  Assumptions?

The Evolution of Global Bilateral Migration, 1960-2000 Ozden, Parsons, Schiff and Walmsley

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Conclusion

NEVER ENDING STORY?