aging with growth: implications for productivity and the ......positive net migration helps balance...
TRANSCRIPT
Aging with Growth:
Implications for
Productivity and the Labor
Force
Emily Sinnott
Emily Sinnott, Senior Economist,
The World Bank
Tallinn,
June 18, 2015
Presentation structure
1. Growth, productivity and aging
2. Barriers to employment at older ages
3. Supporting more balanced demographics
4. Turning aging into an opportunity
2
1. …decreases the share of the labor force in
the total population (growth concern)
• Shrinking labor force
• Expanding inactive older population
2. …alters the structure of labor force
(productivity concern)
• Out-dated skills
• Less dynamism: less job reallocation across
occupations, sectors, and places
Concern: An aging population…
3
Dependency ratios not fixed: Size and
composition of the labor force can be altered by
higher participation
4
Projected changes in the size of the labor force under different labor force participation scenarios, by age
category, Central Europe and Baltics, 2010–60
Note: Data are based on past estimates of participation rates in 1990–2010, projections of the International Labour Organization (ILO) for
2015–30 based on past trends, and scenarios for 2035–60 developed by the World Bank for this report (female participation convergence to
male participation rates and working life gradually increases by ten years)
Sources: Based on ILO (2013) and UN Population Division (2013)
-12
-10
-8
-6
-4
-2
0
2
4
6
Constant participationprofile
Female to maleconvergence
Increase in worklife by10 years
Ch
an
ge
in
la
bo
r fo
rce
, %
15-39 40-64 65+
Dependency ratios can remain relatively stable
if labor market participation rises
5
Ratio of inactive over active people aged 15 and older, by scenario, Central Europe and the
Baltics, 1990-2060
Note: Data are based on past estimates of participation rates in 1990–2010, projections of the International Labour Organization (ILO) for
2015–30 based on past trends, and scenarios for 2035–60 developed by the World Bank for this report (female participation convergence to
male participation rates and working life gradually increases by ten years)
Sources: Based on ILO (2011) and UN Population Division (2013)
50
60
70
80
90
100
110
1990 2000 2010 2020 2030 2040 2050 2060
Ra
tio
of in
active
to
active
po
pu
latio
n
ag
ed
15
+
Constant participation
Increase work lives by 10 years
Female to male convergence
Potential for rise in stock of human capital, even
as working-age population falls, in some countries
6
Working-age population and stock of human capital
EU28, 1990-2060
Source: Calculations based on Lutz, Butz, and KC 2014.
60
70
80
90
100
110
120
130
1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050 2055 2060
Ind
ex 1
99
0=
10
0
Working-age population
Stock of years of education
The aging brain can compensate
Source: Daselaar and Cabeza (2004)
Better-performing older participants compensated for age-related memory
decline by reorganizing the episodic retrieval network
7
Employers take advantage of new strengths
Source: Calculations based on data in Cai and Stoyanav 2014; UN Comtrade.
8
-0,25-0,2
-0,15-0,1
-0,050
0,050,1
0,150,2
0,25
Central Europe and the Baltics (Oldcountries)
Central Asia and Turkey (Young countries)
Age-appreciating cognitive skills Age-depreciating cognitive skills Physical ability
Change in the skill contents of exports, 2000-2010
Confronting three myths about work at older ages...
1. Myth 1: Older workers do not want to work and prefer
retirement – Fact: 2/3 prefer options of gradual retirement
and part time work (Evidence for 27 EU countries)
2. Myth 2: Older workers are less productive, more difficult
hires – Mixed evidence, but policies can be put in place to
alleviate lower productivity or even increase it (e.g.: age-
diverse teams)
3. Myth 3: Lump of labor fallacy; older workers take jobs from
young – Well, it’s a fallacy
But older workers do face some barriers when looking for work
and in the workplace…9
Presentation structure
1. Growth, productivity and aging
2. Barriers to employment at older ages
3. A move to more balanced demographics
4. Turning aging into an opportunity
10
Determinants of labor supply in the EU:
regression-based evidence
Source: Estimates based on SHARE..
11
*
***
***
***
***
***
-0,6 -0,5 -0,4 -0,3 -0,2 -0,1 0 0,1 0,2 0,3
Household members under age 6, number
Household members aged 60–80, number
Household members above 80
ADL z-score (with difficulty)
IADL z-score (with difficulty)
High school and above
Eligible for old-age and early retirementpension
Other public support
Spouse working
Poland
Women
Men
***
***
***
***
***
***
***
***
***
**
-0,6 -0,5 -0,4 -0,3 -0,2 -0,1 0 0,1 0,2 0,3
Estonia
• The receipt of a pension or other public support is strongly
correlated with exit from work in CEB countries.
• Changes in the official retirement age or benefit structure have
potential to incentivize later retirement Examples: Austria and
Germany.12
0
.2
.4
.6
.8
1
rate
45 50 55 60 65 70 75 80 85age
Male
0
.2
.4
.6
.8
1
rate
45 50 55 60 65 70 75 80 85age
Female
Source: SHARE 2011
Receiving Other Pension Receiving Old Age and Early Retirement Pension
Working/Total
Determinants of labor supply in the EU: Benefit
eligibility plays a large role in reducing participation
• Deterioration in
health and the ability
to live independently
is associated with
exit from work.
• Care responsibilities
interact with older
worker’s labor
supply.
• Higher likelihood to
work if the spouse is
working: preference
for joint retirement.
13
Barriers to Employment: Attitudes of Employers,
Health status and household structure
Perceived barriers for employment after 55:
% reporting each reason as very, fairly, not very, not at all important, 2011
Source: Eurobarometer 2012.
0% 20% 40% 60% 80% 100%
Family care obligation
Retire with partner
Lack of modern skills
Places are not adapted
Pensions/tax systems
Attitudes of employers
No gradual retirement
Excluded from training
Retire with partner
Family care obligation
Pensions/tax systems
Lack of modern skills
Places are not adapted
No gradual retirement
Excluded from training
Attitudes of employers
EU
15
EU
11
Very important Fairly important Not very important Not important at all
The importance of making older age healthier
0 10 20 30 40
Sweden
Norway
Iceland
Malta
Luxembourg
Denmark
United Kingdom
Ireland
Switzerland
Bulgaria
Greece
France
Belgium
Spain
Czech Republic
Netherlands
Cyprus
Finland
Poland
Austria
Lithuania
Germany
Croatia
Slovenia
Estonia
Hungary
Latvia
Portugal
Romania
Slovakia
Female life expectancy at age 50
Heathy Life Years at Age 50
Life Expectancy at Age 50
0 10 20 30 40
Sweden
Norway
Iceland
Malta
Switzerland
Denmark
Ireland
United Kingdom
Cyprus
Belgium
Luxembourg
Greece
Spain
Netherlands
France
Bulgaria
Czech Republic
Finland
Austria
Portugal
Germany
Poland
Lithuania
Croatia
Slovenia
Romania
Hungary
Estonia
Latvia
Slovakia
Male life expectancy at age 50
Heathy Life Years at Age 50
Life Expectancy at Age 50
Source: Eurostat 14
Age not a concept fixed over time: “60” as the
new “70”… but not everywhere
How old you have to be today to have the same mortality as a
person of 60 in 1959
Source: World Bank staff’ calculations for all ECA countries with data available using Human Mortality Database. University of
California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany), www.mortality.org
15
57
57
58
59
60
60
62
65
68
71
56 61 66 71Age
Males
France
Slovenia
Czech Republic
Poland
Slovakia
Bulgaria
Hungary
Lithuania
Latvia
Estonia
Dependency measured as disability diverges
from chronological age definition
Japan
Japan
Hungary
Hungary
0
5
10
15
20
25
30
35
40
Old-age dependency ratio Adult disability dependency ratio
In p
erce
nt
Notes: Adult disability dependency ratio (ADDR) defined as the number of adults at least 20 years old with disabilities, divided by the
number of adults at least 20 years without them.
Source: Sanderson and Scherbov (2010). 16
Stock of human capital has room to increase
17The World Bank—European Commission Joint Workshop on Active Ageing
Index of the Size of the Working-Age Population and Its Stock of Years of Schooling, Central Europe and Baltics and EU-15 (1990-100), 1990–2060
Note: Working-age population here defined as 15 to 64 years old.
Source: Based on Lutz, Butz, and K. C. 2014.
60
70
80
90
100
110
120
130
140Central Europe and Baltics
WAP Total years of education in WAP
60
70
80
90
100
110
120
130
140 EU-15
WAP Total years of education in WAP
Presentation structure
1. Growth, productivity and aging
2. Barriers to employment at older ages
3. A move to more balanced demographics
4. Turning aging into an opportunity
18
Aging from below due to shrinking younger
generations vs. aging from above due to longevity
19
Cumulative population change 1990-2010, in percent
Source: Based on United Nations (UN) Population Division (2013).
Natural increase Net migration
Larger imbalance in size of generations where
emigration high and fertility low
20
EU-15
Source: Eurostat.
85+
80 - 84
75 - 79
70 - 74
65 - 69
60 - 64
55 - 59
50 - 54
45 - 49
40 - 44
35 - 39
30 - 34
25 - 29
20 - 24
15 - 19
10 - 14
5 - 9
0 - 4
Age Distribution of Population, 2012 vs. 2030 (in percent)
Males Females
0.0 1.5 3.0 4.5 6.0
2030
2012
0.01.53.04.56.0
Generations are set to be more equally sized in
the EU-15Young cohorts are expected to shrink further in
Estonia by 2030
85+
80 - 84
75 - 79
70 - 74
65 - 69
60 - 64
55 - 59
50 - 54
45 - 49
40 - 44
35 - 39
30 - 34
25 - 29
20 - 24
15 - 19
10 - 14
5 - 9
0 - 4
Estonia: Age Distribution of Population, 2012 vs. 2030 (in percent)
Males Females
0.0 1.5 3.0 4.5 6.0
2030
2012
0.01.53.04.56.0
Central Europe and the Baltics aging differently:
Lives cut short
21
Life expectancy gains lag behind the EU-15
Italy gained 14 years of life expectancy since 1960 and Latvia just 4 years
60
65
70
75
80
85
Lif
e e
xp
ec
tan
cy a
t b
irth
, ye
ars
Life expectancy at birth 2012 Life expectancy at birth 1960
Source: Based on World Bank’s World Development Indicators.
Bulgaria’s labor force would be 13% bigger in 2010 if
mortality had declined as in France from 1950
Source: World Bank calculations using UN (2013).
400 200 0 200 400
00-04
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
population (thousands)
22
Presentation structure
1. Growth, productivity and aging
2. Barriers to employment at older ages
3. A move to more balanced demographics
4. Turning aging into an opportunity
23
Positive net migration helps balance demographics
now; fertility changes contribute (but longer term)
.
m. 24
Table 1. Changing Profile of EURES Clients in Latvia, 2004-2010
2004-2007 2008-2010
Planning to move alone Planning to move with family
Looking for temporary, low-skilled job Looking for permanent, skilled job
Minimal knowledge of foreign languages Better knowledge of foreign languages, higher
qualifications
Planning to return Interested in legal employment and social security
Note: Based on the daily records of European Employment Services (EURES) consultants in Latvia. Source: Hazans (2013: Table 4.6)
• Macro and micro econometric evidence suggests families in less rich EU countries
don’t have the critical second child due partly to not having adequate incomes
• Some evidence of a re-increase in fertility occurring at high country income
threshold and that stable employment for mothers may play a role
• Supporting families can also play a role in stemming out-migration
Achieve healthier aging by reducing inequality and
achieving the “cardiovascular revolution”
Source: Based on Eurostat.
m. 25
Gap in life expectancy at 50 years old between those
with high and low education, by gender, 2010
Notes: Data for 2010. EU-14 is Eu-15 group of countries excluding Luxembourg for which data is not available.Source: Based on the WHO Mortality Database.
Excess deaths due to diseases of the circulatory
system
0 5 10 15
Czech Rep.
Hungary
Estonia
Bulgaria
Slovenia
Poland
Romania
Croatia
Norway
Italy
Denmark
Finland
Sweden
Malta
Portugal
Women Men
0 200 400 600 800
ItalySpain
FranceSweden
NetherlandsIrelandAustria
United KingdomGreece
GermanyFinland
BelgiumPortugal
Denmark
SloveniaCzech Republic
PolandCroatiaEstonia
SlovakiaHungary
LatviaRomaniaLithuaniaBulgaria
Age-standardized death rates per 100 000 population
Total deaths if mortalityfrom diseases of thecirculatory system(DCS) equaled EU-14average
Gap in deaths due toexcess DCS
Focus on skills development across the life
cycle
Source: Bodewig, 2014.
OECD’s PIAAC reveals
younger adults perform
better than older adults
across all countries (with
large differences in
certain countries)
- increased educational
attainment of younger
cohorts
- But also probably skills
depreciation over life
cycle (need for better
and more adult training
and lifelong learning)
26The World Bank—European Commission Joint Workshop on Active Ageing
Employer interventions: Age-specific staffing
strategies can help
• Firms have tried many approaches:
– Age-specific equipment or work place adaptation
– Age-specific tasks for old workers
– Mixed-age working teams
– Working time reductions/flexibility
– Age-specific training/human resource management
strategies
– Evidence that some do work (in red)
• Adoption rates are unknown
– Scope for dissemination
27
Productivity: BMW 2017 production line pilot in
Bavaria
Help Older Workers be as Productive as
Younger Staff
Initial condition: Aging assembly line
workforce
Result 7% productivity improvement in 1
year, similar to that of lines staffed by
younger workers
How?
• 70 changes to workplace equipment
reduced physical strain
• Job rotation across workstations during a
shift in order to balance the load
• Physiotherapist developed exercises for
workers to do every day
Cost-effective: US$40,00028
Stepping up response to aging
29
Increase labor force
participation at all ages
Increase healthy life
expectancy and reduce
health inequalities
Invest in skills and adapt
to older labor force
Plan now for public
spending trade-offs
Target those who will be
vulnerable to elderly
poverty early on
Support immigration; support families and
female integration in the labor market
Thank you
World Bank Group
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Washington, DC 20433