Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

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Projections of the dependent elderly population by age, sex, and household composition Scenarios for Belgium Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics °° University of Louvain (UCL)

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Projections of the dependent elderly population by age, sex, and household composition Scenarios for Belgium. Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics °° University of Louvain (UCL). Objectives. - PowerPoint PPT Presentation

Transcript of Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Page 1: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Projections of the dependent elderly population by age, sex, and household composition

Scenarios for Belgium

Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°°

° Warsaw School of Economics°° University of Louvain (UCL)

Page 2: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Objectives

• Projection of the dependent elderly population 65+ for Belgium

• By age, sex, and composition of household• For the period 2005-2050• Taking account of differences in rates of

dependency by household type, age, and sex• And of possible future declines in these rates

Page 3: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Data and methods

• Population projections: those of the Belgian National Institute of Statistics

• Composition of household: • National population register data• Data on institutions from Belgian national health

insurance (INAMI-RIZIV)

• Dependency rates and time trends by age, sex and composition of households: French HID survey

Page 4: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Table 1. Comparison of the institutionalized population 65+ by age and sexaccording to INAMI-RIZIV (2001) and the Belgian population register (2000)

Males 65-69 70-74 75-79 80-84 85-89 90+ Total 65+

a) INAMI 1799 2845 4401 4743 5498 4737 24023

b) Register 2468 3120 3951 3278 4308 2602 19727

Differenceb - a

+669 +275 -450 -1465 -1190 -2135 -4296

Females

a) INAMI 1984 5000 11887 17843 26092 27840 90646

b) Register 4091 6630 12317 14030 21761 17409 76238

Differenceb - a

+2107 +1630 +430 -3813 -4331 -10431 -14408

Both sexes

a) INAMI 3783 7845 16288 22586 31590 32577 114669

b) Register 6559 9750 16268 17308 26069 20011 95965

Differenceb - a

+2776 +1905 -20 -5278 -5521 -12566 -18704

(Source: INAMI-RIZIV and Belgian population register)

Page 5: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Table 2. Comparison of dependency rates (%) in the institutionalized population age and sex according to the French HID survey (EHPA 11-22 scale) and the Belgian INAMI-

RIZIV register (Katz scale, B+C) (circa year 2000)

Age Females Males

HID(EHPA 11-22)

INAMI-RIZIV

(Katz, B + C)

HID(EHPA 11-22)

INAMI-RIZIV

(Katz, B + C)

65-69 47 54 38 49

70-74 52 58 52 54

75-79 60 60 43 59

80-84 54 61 52 59

85-89 60 63 54 57

90-94 64 68* 57 59*

95+ 65 * Age group 90+

50 * Age group 90+

Page 6: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Annex Ia. HID dependency rates by age, household type, EHPA 11-22 scale, males

0

10

20

30

40

50

60

70

80

60-64 65-69 70-74 75-79 80-84 85-89 90-94 95-++

Age

One-person private household Multi-person private household Institution

Page 7: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Annex Ib. HID dependency rates by age, household type, EHPA 11-22 scale, females

0

10

20

30

40

50

60

70

60-64 65-69 70-74 75-79 80-84 85-89 90-94 95-++

Age

One-person private household Multi-person private household Institution

Page 8: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Fig 1a. Adjusted dependency rates by age, sex, and household type - Males.

0

10

20

30

40

50

60

60-64 65-69 70-74 75-79 80-84 85-89 90-94 95+

Age

One-person private household Multi-person private household Institution

Page 9: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Fig. 1b. Adjusted dependency rates by age, sex, and

household type - Females

0

10

20

30

40

50

60

70

60-64 65-69 70-74 75-79 80-84 85-89 90-94 95+

Age

One-person private household Multi-person private household Institution

Page 10: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Trends in dependency rates

• French HID central scenario by age and sex: rates shifted every 10 years by -1.3 years for males and -1.4 years for females between ages 60 and 79, and by -1.1 and -1.3 respectively for ages 80+.

• Same trends whatever the household type

Page 11: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Fig. 2. Numbers of dependent elderly 65+ by sex, scenarios with stable and variable rates - Belgium

0

50000

100000

150000

200000

250000

300000

2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Years

Females stable rates Females variable rates Males stable rates Males variable rates

Page 12: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Fig. 3a. Elderly females 65+ by age, household type and years (2005, 2025, 2050), variable rates – Belgium.

0

5000

10000

15000

20000

25000

30000

35000

40000

45000

50000

65-69 70-74 75-79 80-84 85-89 90-94 95+

Age2005 one-person private household 2025 one-person private household

2050 one-person private household 2005 multi-person private household

2025 multi-person private household 2050 multi-person private household

2005 institution 2025 institution

2050 institution

Page 13: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Fig. 3b. Elderly males 65+ by age, household type and years (2005, 2025, 2050), variable rates – Belgium.

0

2000

4000

6000

8000

10000

12000

14000

65-69 70-74 75-79 80-84 85-89 90-94 95+

Age

2005 one-person private household 2025 one-person private household

2050 one-person private household 2005 multi-person private household

2025 multi-person private household 2050 multi-person private household

2005 institution 2025 institution

2050 institution

Page 14: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Improving the projections

– A better registration of collective households by the national population register

– Use of the new 2004 Health Survey dependency rates

– Obtaining time trends (age, sex, household type)

– Projecting future composition of households– Shifting from prevalence to incidence rates

Page 15: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Results

• Great differences in dependency rates by household type (HID survey)

• An increase in the absolute numbers of dependent persons

• A much slower increase if declining dependency rates but an increase nevertheless

• A significant increase in the institutionalized population

Page 16: Anita Abramowska°, Catherine Gourbin°°, and Guillaume Wunsch°° ° Warsaw School of Economics

Conclusion

• One can expect a significant increase in the absolute numbers of institutionalized population especially at older ages, for males and for females, due to the aging of the population structure on the one hand, and the increase in dependency with age on the other hand.

• It might happen however that in the future, both the age schedule of dependency and the time-trend in dependency will become more favorable than now. In that case, our projections will hopefully be wrong.