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2005 George Myers Memorial Lecture
H lth d it i t kHealth and its impact on work and dependency among theand dependency among the
elderly in graying Japan
Naohiro Ogawa
Nihon Universityy
Population Research institute
REVES 17 “Population Health and Health Expectancy-Policy Implications”
Total fertility rate (TFR) and ideal family size, Japan, 1947-2004
5
Birth1947-2004
4
4.5
2 5
3
3.5
1 5
2
2.5
0 5
1
1.5
0
0.5
1947 1951 1955 1959 1963 1967 1971 1975 1979 1983 1987 1991 1995 1999 2003
YearIdeal number of children TFR
Trends in Period Parity Progression Ratios in Japan, 1950-2000
1000
900
1000B to M
1 to 2
M to 1
700
800
1 to 2
600
400
500
2 to 3
300
4+ to 5+
100
200
3 to 4
4+ to 5+
19501955
19601965
19701975
19801985
19901995
2000
YEAR
0
lxChange in Survival Curve Over TimeChange in Survival Curve Over Time
10
82000
61891-98
4
2
010
2030
4050
6070
8090
100110
0
10 30 50 70 90 110
Age
Change in average age of death among 50 oldest persons in Japan, by sex 1950-2002
110
oldest persons in Japan, by sex 1950 2002
106
108
104
106
Age
102
98
100
981950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000
Year
25
20
Social security benefits / National15
Social security benefits / National income
10 Pension benefits / National income
5
Medical expenditure / National income
01951 1956 1961 1966 1971 1976 1981 1986 1991 1996 2001
a o a co e
Trends in expectation for old-age security from children and the number of legal cases of parentschildren and the number of legal cases of parents suing their children for support: Japan, 1950-2004
70 300
60 250
40
50
% 150
200
ses
Cases of parents suing their children
20
30
%
100
150
Cas
Expect to rely on children
10 50
01950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000
Year
0
Sources: Supreme Court, Annual Report of Judicial Statistics, various years. Population Problems Research Council of the Mainichi Newspapers, Changing Family Norms among Japanese Women in a Era of Lowest-low Fertility 2004.
Trends in Norms and Expectations about Care for the Elderly: Japan, 1950-2004
80
90
Ca e o t e de y Japa , 950 00
"Good Custom" or "Natural Duty“
70
50
60
Expect to Depend on Children
40
%
20
30
0
10
01950 1956 1962 1968 1974 1980 1986 1992 1998 2004
Year
Proportion of those who would take care of parents under any circumstances, when their parents get older and need some
(%)
help in their daily lives due to poor health, Japan, United States and China, 2005
84
80
90
68
60
70
43
40
50
20
30
0
10
S ChiJapan U.S. ChinaSource: Japan Youth Research Institute, High School Students' Lifestyle Survey, 2005.
Age Projected life expectancy at birth95
90 NUPRI 90% confidence level
85Government
8590% confidence level
NUPRI
80
75
Government
20002005
20102015
20202025
Year
75
TFR
Projected total fertility rate, 2000-2025
1.5
Government NUPRI
1.4
1.3
1.2
1 1
2000 2005 2010 2015 2020 2025
Year
1.1
Projected total population, 2000-2025
1.28
Billion
1.26
1.27
1 24
1.25
1.23
1.24
1.21
1.22
1.19
1.2
2000 2005 2010 2015 2020 2025
Year
2000年と2025年の人口ピラミッド(推計値)
男 女
出典:日本大学人口研究所、「人口・経済・社会保障モデルによる長期展望ー人的資本に基づくアプローチ-」。
The Bottom LineThe Bottom LineRapid aging appears to be virtually certain
Life expectancy continues to riseLife expectancy continues to riseLow fertility is resistant to policy Immigration is of limited helpImmigration is of limited help
How best do we accommodate the aging of our populations?
Th St t i f R diThree Strategies for Responding to an Aging Societyto an Aging Society
Strategy 1: Retire LaterStrategy 2: Expand Transfer ProgramsStrategy 3: Accumulate Pension FundsStrategy 3: Accumulate Pension Funds
Labor force participation rates for men and women aged 65 and over in selected countries 2000
40.0
aged 65 and over in selected countries, 2000
30.0
35.0
20.0
25.0
%
5 0
10.0
15.0
0.0
5.0
Germany Italy United States France Japany y p
Countries
Men Women
Source: ILO, Yearbook of Labour Statistics, various years.
Strong Trend toward Early Retirement in WestStrong Trend toward Early Retirement in West
80
90
)
60
70
Mal
es 6
5+)
USBritainFranceGermany
40
50
60
or F
orce
(M Germany
30
40
ent i
n La
bo
10
20
Perc
e
01840 1860 1880 1900 1920 1940 1960 1980 2000
S C t 1998 T bl 2A 2Source: Costa 1998, Table 2A.2.
Labor force participation rates aged 65 and over 1960 2003
70
over, 1960-2003
50
60
40
50
20
30
10
20
01960 1964 1968 1972 1976 1980 1984 1988 1992 1996 2000
Male FemaleSource: Statistics Bureau, Ministry of Public Management, Home Affairs, Post and Telecommunications, Annual Report on the Labour Force Survey 2003.
A i i J i i th T d t dAsia is Joining the Trend toward Early RetirementEarly Retirement
4550
354045
bor
forc
e
ChinaJapan
202530
65+
in la
b JapanIndiaUnited StatesG
51015
Perc
ent 6 Germany
France
05
1950 1960 1970 1980 1990 1995
P
Note: Male and female combined.
Mandatory retirement age in Japan, by firm size, 2003
90.0
100.0
2003
70.0
80.0
50.0
60.0
%
30.0
40.0
10.0
20.0
0.05000 or more 1000-4999 300-999 100-299 30-99
Firm size
55 56-59 60 61-64 65 66 and over Others
Source: Statistics and Information Department, 2004. Minister’s Secretariat, Ministry of Health, Labour and Welfare, Survey on Employment Management, 2004.
Average age of mandatory retirement in large firms
60 0
61.0Age
59.0
60.0
57 0
58.0
56.0
57.0
54 0
55.0
53.0
54.0
1965 1975 1985 1995
Year
Trends in reasons for quitting job for persons aged 65 and over: Japan, 1950-2004
60.0
70.0
80.0
p ,
MEN
30 0
40.0
50.0
%Retirement ageHealth problems
10.0
20.0
30.0
0.01977 1982 1987 1992 1997 2002
60 0
70.0
80.0
WOMEN
40.0
50.0
60.0
%Retirement age
10.0
20.0
30.0g
Health problems
0.01977 1982 1987 1992 1997 2002
YearSource: Statistics Bureau, Ministry of Public Management, Home Affairs, Posts and Telecommunications, Employment Status Survey,
Change in retirement age at large-scale businesses and life expectancies at age 20 for men and women: Japan,life expectancies at age 20 for men and women: Japan,
1965-2002
65.0
67.0
61.0
63.0
57.0
59.0Year
53.0
55.0
49.0
51.0
1965 1970 1975 1980 1985 1990 1995 20001965 1970 1975 1980 1985 1990 1995 2000
YearRetirement age Male life expectacy at age 20 Female life expectancy at age 20
MaleMandatoryretirement
Health Personal curtailment, liquidationor bankruptcy of the company Female
Mandatoryretirement
Health Personal curtailment, liquidationor bankruptcy of the company
Reason for quitting job Reason for quitting job
55-59 55-591982 29.3 13.4 13.4 1982 11.0 24.1 10.71992 14.7 14.3 14.4 1992 8.1 19.8 10.22002 5.7 9.0 28.2 2002 3.2 12.4 20.4
60-64 60-641982 50.0 18.5 7.9 1982 18.6 37.4 5.91992 54.1 15.8 6.2 1992 25.4 24.7 7.32002 46.1 10.3 16.7 2002 23.4 16.3 16.5
65-69 65-691982 43.8 32.5 6.6 1982 14.6 57.5 5.41992 57.6 22.0 4.4 1992 26.8 36.4 5.12002 52.4 17.9 10.7 2002 27.6 24.8 11.6
% of working among those who left job by mandatory retirement55-59 55-59
1982 67.4 1982 22.11992 77.5 1992 29.62002 74.4 2002 37.7
60-64 60-641982 51.4 1982 17.21992 52.3 1992 22.92002 41.3 2002 20.7
65-69 65-691982 41.5 1982 15.81992 40.7 1992 16.32002 32.4 2002 13.6
NUJLSOANUJLSOANihon University Japan Longitudinal
Study of Aging
Survey in 1999 , 2001 and 2003
Grouping for analysis
Y = 1 if the individual was not working in 1999
Y = 2 if the individual was working in 1999 but not in 2001
Y = 3 if the individual was working in 1999 and 2001, but not in 2003
Y = 4 if the individual was working in 1999, 2001, and 2003
Labor force transition by respondents aged 65-84
Men
63% 70%1999 2001 2003
Working (37%) Working Working 38% 30
%
Not working (63%) Not working Not working
92%8%
94%
6%
Women
Working (18%) Working Working51%
49%
66%
34%
1999 2001 2003
Not working (82%) Not working Not working
96%4%
96%
4%
96% 96%
Percent of respondents with difficulty in performing NAGI index activities in 1999 2001 and 2003NAGI index activities in 1999, 2001, and 2003
Lift i t l 10k bj t
Extend arms out in front as if to shake hands
Grasp with the fingers or move the fingers easily
Lift an approximately 10kg object
Stoop or bend the knees
Raise the hands above the head
Extend arms out in front as if to shake hands
Stand continuously for 2 hours
Sit continuously for 2 hours
Stoop or bend the knees
Walk 200 to 300 meters
Climb 10 steps without resting
Stand continuously for 2 hours
0.0 5.0 10.0 15.0 20.0 25.0 30.0 35.0 40.0
Walk 200 to 300 meters
Percent
1999 2001 2003
Composition of respondents change by NAGI score between 1999 and 2003
Men WomenChange in NAGI score (percent) (percent)
Between 1999 and 2001Improvement 16.6 24.1N h 62 7 44 8No change 62.7 44.8Deterioration 21.7 31.1
Between 2001 and 2003Improvement 11 5 21 2Improvement 11.5 21.2No change 65.3 50.4Deterioration 23.2 28.4
Percent of respondents expecting to rely on children by age in 1999, 2001, and 2003
Year of surveyMen
y g , ,
Age 1999 2001 200365-69 27.3 27.8 22.7
y
70-74 32.3 36.8 36.075-79 39.3 43.3 40.880 84 48 6 48 5 47 280-84 48.6 48.5 47.2
Women
Age 1999 2001 2003Year of survey
Women
Age 1999 2001 200365-69 35.7 38.4 37.070-74 45.9 47.6 42.375-79 57.8 58.7 56.380-84 68.0 69.6 63.9
Men WomenPredicted mean 32.8 16.3NAGI
Estimated effect on probabilities of working in 1999
NAGI score Some difficulty 20.7 ** 11.9 ** No difficulty+ 39.0 21.1Age 65-69 42.3 ** 26.4 ** 70-74 37.1 ** 20.1 ** 75-79 29.0 * 13.1 80-84+ 24.8 11.6Education Junior high or lower+ 28.8 15.3g Senior high 36.6 ** 17.8 Univ or Junior college 43.7 ** 22.2 **Marital status & spouse's health Married and spouse is healthy 34.2 18.8 *Married and spouse is not hea 25.2 ** 13.5 Married and spouse is not hea 25.2 13.5
Not married+ 35.8 15.5Longest job Self-employed or agriculture 55.0 ** 31.6 ** Others+ 21.7 7.6Living with childLiving with child Yes 33.7 16.0 No+ 32.1 16.8Living with pre-schooler Yes 32.6 17.6
N 32 8 16 2 No+ 32.8 16.2Current residence Urban 29.8 ** 14.7 ** Rural+ 37.0 17.9Home ownership Yes 32.9 16.3 No+ 32.3 15.8Log likelihood -888.6 -809.9Sample size 1691 2280
Men Women Men WomenFrom 1999 to 2001 From 2001 to 2003
Estimated effect on probabilities of workingMen Women Men Women
Predicted mean 64.5 56.0 74.2 69.4NAGI score in 1999 Some difficulty 58.3 * 54.2 58.9 * 66.7 No difficulty+ 65.5 56.8 76.1 70.4Change in NAGI from previous survey -3 (improvement) 75.6 * 69.3 ** 95.0 ** 90.3 ** 0 (no change) 65.1 * 57.4 ** 77.8 ** 72.6 ** +3 (deterioration) 52.9 * 44.4 ** 40.6 ** 46.4 **Age 65-69 77.7 ** 69.5 ** 76.4 77.9
70-74 63 2 61 1 ** 75 8 70 8 70 74 63.2 61.1 75.8 70.8 75-79 55.2 49.1 * 73.8 67.7 80-84+ 54.5 30.7 69.4 63.2Education Junior high or lower+ 61.0 57.7 68.8 61.8 Senior high 65.8 51.8 82.9 ** 87.3 ** Univ or Junior college 75.4 ** 69.9 74.9 44.5Marital status & spouse's health Married and spouse is healthy 64.8 58.8 73.5 67.0 Married and spouse is not hea 69.6 51.0 79.9 78.8 Not married+ 57.0 55.6 72.8 67.9Longest jobLongest job Self-employed or agriculture 70.4 ** 57.9 78.3 75.3 ** Others+ 57.0 51.8 69.3 54.5Living with child Yes 69.5 ** 53.3 74.8 73.7 No+ 59.4 59.7 73.6 64.4Li i ith h lLiving with pre-schooler Yes 54.9 28.4 80.7 46.0 No+ 65.0 56.8 74.0 70.4Current residence Urban 60.7 * 59.4 73.0 78.5 ** Rural+ 68.9 52.2 75.5 61.4Home ownership Yes 63.2 * 56.8 74.4 69.7 No+ 77.8 48.0 71.9 66.5Log likelihood -242.4 -153.6 -110.2 -54.0Sample size 400 248 221 121
Estimated effect on probabilities of men working sequentially, conditional on working in the previous survey period, by region
Urban Rural Urban RuralPredicted mean 61.0 65.8 75.0 72.1NAGI score in 1999 Some difficulty 59.2 51.6 * 35.1 ** 77.4
From 1999 to 2001 From 2001 to 2003
y No difficulty+ 61.3 68.6 79.1 71.3Change in NAGI from previous survey -3 (improvement) 59.6 89.1 ** 95.2 ** 95.4 ** 0 (no change) 60.9 67.5 ** 76.9 ** 77.7 ** +3 (deterioration) 62.1 35.5 ** 38.2 ** 41.7 **Age 65-69 70.9 ** 73.9 67.2 83.0 ** 70-74 74.8 ** 48.5 ** 85.1 79.3 75-79 48.3 54.0 ** 85.5 63.2 80-84+ 42.3 78.6 87.9 54.3EducationEducation Junior high or lower+ 55.6 65.2 73.7 66.0 Senior high 63.0 65.0 77.9 88.1 ** Univ or Junior college 69.1 78.0 72.2 83.2Marital status & spouse's health Married and spouse is healthy 62.8 68.3 ** 75.5 69.7 Married and spouse is not health 52.8 71.6 ** 66.1 83.5
Not married+ 59.0 43.6 76.2 64.9Longest job Self-employed or agriculture 68.3 ** 68.8 83.2 73.8 Others+ 54.8 59.4 70.0 68.3Living with childLiving with child Yes 64.8 70.1 77.4 74.6 No+ 57.6 60.4 73.2 68.4Living with pre-schooler Yes 49.9 60.0 48.7 …
No+ 61.4 66.2 75.5 … No+ 61.4 66.2 75.5 …Home ownership Yes 58.9 65.0 75.7 … No+ 73.5 93.9 69.8 …Log likelihood -139.3 -99.3 -48.1 -44.7Sample size 228 184 100 104
Estimated effect on probabilities of expecting to depend on children for old-age security, 2001 and 2003
2001 2003Men Women Men Women
Predicted mean 38.7 57.1 37.3 53.9NAGI score in previous survey Some difficulty 42.8 61.4 ** 39.1 56.1 No difficulty+ 37.4 53.1 36.6 51.8
2001 2003
yChange in NAGI from previous survey -3 (improvement) 33.3 50.2 ** 38.8 51.5 0 (no change) 38.6 56.9 ** 37.4 53.7 +3 (deterioration) 44.2 63.4 ** 36.1 55.9Age65-69 29 8 ** 49 2 ** 22 5 ** 51 1 65 69 29.8 49.2 22.5 51.1
70-74 39.9 53.4 ** 37.2 46.5 ** 75-79 39.8 58.7 * 40.6 56.4 80-84+ 44.5 64.6 37.3 57.9Education Junior high or lower+ 43.5 59.3 41.6 58.3Senio high 36 6 * 54 9 34 9 * 47 7 ** Senior high 36.6 * 54.9 34.9 * 47.7 **
Univ or Junior college 20.2 ** 40.5 ** 22.2 ** 32.4 **Marital status & spouse's health Married and spouse is healthy 36.7 ** 52.5 ** 33.3 ** 47.5 ** Married and spouse is not hea 40.1 53.9 * 39.3 ** 54.4 Not married+ 48.3 60.9 51.7 56.6Longest job Self-employed or agriculture 41.1 65.3 ** 41.1 58.7 ** Others+ 37.4 52.3 35.2 50.9Living with child Yes 50.7 ** 67.9 ** 46.6 ** 61.9 ** No+ 26.0 41.6 28.1 42.6Living with pre-schooler Yes 35.2 66.9 40.8 67.0 No+ 38.9 56.8 37.1 53.6Current residence Urban 32.7 ** 53.5 ** 33.7 ** 49.8 **Rural+ 48 3 63 4 43 0 60 4 Rural+ 48.3 63.4 43.0 60.4
Home ownership Yes 39.7 ** 58.1 * 38.9 ** 54.8 * No+ 28.2 49.6 17.4 45.2Log likelihood -532.2 -664.7 -494.0 -629.3Sample size 998 1169 882 1042
Si l tiSimulationsUse NUPRI Model:Use NUPRI Model:
Assume Mandatory Retirement Age raisedAssume Mandatory Retirement Age raised from 60 to 65
In response, employment rates for persons 60 to 64 rise to those of persons 55 to 59p
Based on these assumptions, use NUPRI p ,model to recalculate GDP and GDP per capita
sex differential i ll t f fertility
Population submodelInterrelationship among three submodels モデルの構成
in enrollment for university education
Population by age and sex
y
mortality
labor supplylabor force participation rate
Economic submodel
income share
price wage consumption investmentprice, wage consumption, investment
employment
pension schemesMedical insurance schemes
Social security submodel
medical benefits social security benefits pension benefitstotal medical expenditure
contribution to medical schemes contribution to social insurance schemes contribution to pension schemes
Economic Projections from NUPRI Model
Item Base Case Base Case MoreItem Base Case Base Case More Older
WorkersWorkers2005 2025 2025
Real GDP(Trillion
564.7 624.8 693.8
Yen)
Real GDP 4.43 5.2 5.74Real GDP Per Capita (million
4.43 5.2 5.74
(million yen)
The Second Dividend
Life expectancy is increasingp y gStimulates the accumulation of
lthwealthMore wealth leads to aMore wealth leads to a permanent increase in income
年齢別資産プロファイル
Source: Andrew Mason (2001).
Household Financial Assets
170
190
130
15019991994
110
130
yen
70
90
mill
ion
30
50
10
10
-10 15 25 35 45 55 65 75 85 95Age of household's head
190
Real Assets
170
190
130
150
90
110
on y
en
50
70mill
io
19991994
30
50
-10
10
15 25 35 45 55 65 75 85 95
Household head's age
Lifecycle Deficit by Age, Japan, 1999 Actual and 2025 Age Distribution
4000
6000g
2000
-2000
00 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 1999
2025
-4000
-8000
-6000
Age
Future Japanese elderly persons
will be wealthier!
Elderly population by heath status Japan 2000 25
30000Thousands
Elderly population by heath status, Japan 2000-25
25000
15000
20000
10000
15000
5000
02000 2025
YearUnhealthy assistace requried Unhealthy no need help Healthy
Future Japanese elderly persons
will be
not only wealthier but alsonot only wealthier but also healthier!healthier!
Future Japanese elderly persons
will be
wealthier healthierwealthier, healthier
dand
cleverer!
Length of demographic bonus period
Singapore
Japan
Chi
Democratic People's Republic of Korea
Republic of Korea
Sri Lanka
Thailand
China
Iran (Islamic Republic of)
Mongolia
Myanmar
Indonesia
Viet Nam
1950 1970 1990 2010
Malaysia
Myanmar
2030 2050 2070
Future Japanese elderly persons
may save
Japan!Japan!