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8/14/2019 Social Security: LUTZ
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Key Factors in Future International MigrationImmigration Forum, Social Security Advisory Board,
Dirksen Senate Office Buildung
Wolfgang Lutz, Leader, World Population Program
International Institute for Applied Systems Analysis (IIASA),Laxenburg, Austria
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Outline
• Demographic uncertainties: We know more thannothing
• More immigrants versus higher fertility
• Long-term prospects for human capital:projecting population by age, sex and education
• Importance of policies: What forces shapenational immigration policies
• The force of cultural identity in limiting migration
• Immigration and unemployment
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0.0 1.0 2.0 3.0 4.0
2050
2045
2040
2035
2030
2025
2020
2015
2010
2005
2000
1995
1990
1985
1980
1975
1970
1965
19601955
1950
1945females
0.01.02.03.04.0
0
5
10
15
20
25
30
35
40
45
50
5560
65
70
75
80
85
9095
100
105
European Union, 2050
Population (millions)
males
Age Period of Birth
Sergei's DELL PIII, file: C:\Sergei\Cur rent\Run\20 02\EU\[make_pyramid_to_file2_EU2 .xls],21-May-02 14:36
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Uncertainty Range of Future Support Ratio in theEuropean Union 2000-2050
European Union, Support ratio
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
2 0 0 0
2 0 0 5
2 0 1 0
2 0 1 5
2 0 2 0
2 0 2 5
2 0 3 0
2 0 3 5
2 0 4 0
2 0 4 5
2 0 5 0
Year
S u p p o r t r
a t i o
0.8
0.4
0.2
0.025
0.975
Median0.6
Fractiles
Sergei's DELL PIII, file: C:\Sergei\Share\EU\[presentation02.xls],21-May-02 13:56
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Western Europe, Uncertainty Distribution ofProportion above Age 80 (2000-2100)
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
2 0 0 0
2 0 0 5
2 0 1 0
2 0 1 5
2 0 2 0
2 0 2 5
2 0 3 0
2 0 3 5
2 0 4 0
2 0 4 5
2 0 5 0
2 0 5 5
2 0 6 0
2 0 6 5
2 0 7 0
2 0 7 5
2 0 8 0
2 0 8 5
2 0 9 0
2 0 9 5
2 1 0 0
Year
P r o p o r t i o n a
b o
v e
a g e
8 0
0.8
0.4
0.2
0.025
0.975
Median
0.6
Fractiles
ergei's DELL PIII, file: E:\Current\R un\2000\NewTech ique\Simul\[pop_new21_4_de l1_sing5_c1.xls],06-Jun-01 07:36
UN “low”
UN “high”
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Can Migration Compensate for the Missing Births?Alternative Projections of the Old Age Dependency Ratio for the EU-15 in 2050 based on
different Fertility and Migration Assumptions (Black line gives the level in 2000)
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1 1.2 1.4 1.6 1.8 2 2.2
Total fertility rate
O l d - a g e d e p e n d e n c y r a t i o
MIG=0 MIG=400,000 MIG=800,000 MIG=1,200,000 Year 2000
z
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1,200
800
400
0
2000 2015 2030 2000 2015 2030 2000 2015 2030
Estimated population aged 20-64 years (in millions) by levels of education,according to the “ICPD” scenario, 2000-30, in three economic mega-regions
Western and Eastern
Europe and North
America
China and Centrally
Planned Asia South Asia
No education Primary Secondary Tertiary
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Policies Matter: But Who Determines Migration Policy?Diverging Interests in Receiving Countries
Three different dimensions tend to shape the process:
A: Interest of employers/ customers of local services – theywant cheap labor and high supply of labor – want more
immigration
B: Interest of workers – want higher wages, tight supply oflabor (differs by skill) – want less immigration
C: Interest in cultural homogeneity and preservation ofnational identity
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Which of the forces dominate in politics and migration policy making ?
• Economic and political elites are often close to interests ofemployers (A)
• Middle class often has dual interests (A+B): Less competition forown employment, cheap availability of personal services
• For workers typically the interest in less competition/higher wagesdominates (B)
• Age pattern of interests:- young adults looking for jobs should want less competition
- young families should want cheap services
- Older working adults want less competition
- Retired persons want cheap services but also cultural homogenity
• Interests by level of education: Typically the higher the education theless the competition through immigrants
Changes in the composition of these interest groupscan shape national migration policy
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National and cultural identity: A strong force in shapingnational immigration policies
• One might expect that it is a stronger force for small nations / language groups who have to fear about their survival (e.g. Finland).
• For bigger nations it can be driven by rivalry/dominance (France-Germany).
• National/cultural identity can become an all dominating force that ismore important than economic standing.
Example of Japan: Little to no immigration despite of most advancedpopulation aging, high wages, highest degree of automation.
Robots instead of immigrants
This could also be the future in several European countries
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Does rapid population aging necessarily lead to a need for more immigration ?
• The proportion of the population of conventional working age (20-60) is onthe decline in many industrialized countries. Does this automatically lead toa “need” for immigrants to fill the “gap”, as is often claimed?
BUT:• In Europe unemployment is still on the rise, particularly among young adults
whose cohort size is already shrinking due to past low fertility (contradictionto Easterlin hypothesis).
• Unemployment is particularly high among the immigrants stock, typicallytwice the level of native born.
• Unemployment is clearly highest among the less educated.
• Why would Europe now need more of the same immigrants ?
• In 20 years, when the baby boom generation retires the situation may bedifferent.
• Even if there is no need for migrants today, the policy instruments should bein place to regulate more immigration when it may be needed.