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かずひろたつざわ
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1 41, 2, Income Disparities and Behavior of People Born in 1950s Outline and Analysis of Internet Survey on the Individual Records of Regular Pension Coverage Notice Seiichi Inagaki 1950 [1] [2] [3] [4] [5] [6] The Nenkin Teikin Bin (Regular Pension Coverage Notice), which is sent to the residents in Japan on a regular basis, includes the pension participation, wage, and the payment history of the pension premium from the first job to present. I attempted to compile an accurate long-term panel data by conducting an Internet survey in order to correlate it with the administrative data and life events such as marriage, child bearing, and living with parents that it was thought that memorized surely. This paper shows that the Internet survey method is very effective for compiling panel data and further, it analyzes income disparity and behavior of people who were born in the 1950s. The analysis shows not only the well-known behavior of all generations but also special tendencies of the 1950s generation. :

2 ) ,100 40% 21 2) 1 3) 1) 2) 21 4

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5 289 1 % 2,071 1,035 1,036 1, [1] 4 [2] 4 [3] 3 [4] 84.7% (1) [1] [2] 1 3 [3]50 [4]50 [5] 1 [6] [7] 4

6 [8] 4 13 (2) [1] [2] [3] [4] 1 [5] [6] [7] (3) [1] 2 [2] 2 [3] ) (2005) % 30.4% ) 22, % % % % ,014, , % ( (2011))

7 % % % % % % % % % % % % % % % % % 2 0.4% % % ,935 2, % 2, % 1, % % 2,671 1, % 1, % 1, % % 2,045 1, % % % % % % % % % % % % % % % % % 7 1.5% % 6 1.6% % % % % % % % % % % % % % % % % % % % 3 0.8% % 69.6% 50 59

8 ,603 2, % 2, % 1, % % % % % % 1, % % % % % % % % % % % % 1, % % % % % % % 2 0.2% % % % % % % % % % % % % % % % % % % % % % % % % % % % % 10.3% 16.9% 8.3% % 33.6%

9 ,964 2, % 2, % 1, % % % % % % % % % % 2,590 1, % % % % 1, % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % ,902 2, % 2, % 1, % % 1, % % % % 2,733 1, % % % % % % % %

10 % ,458 5, % 8) ) % ) 26.5% % (= 8.7% (100% 26.5%)) % 9)

11 % % 81.4% 13.7% 7.5%

12 ) % % % % 11) % % % % % % ) )

13 (3.9) (3.1) (2.7) (2.4) (2.3) (2009) ) (2009) ) 12) 3.3

14 (1996) 16 (2010) ) [1] 4 13) (1996) 14)

15 299 [2] 2 [3] [4] 60 [5] (1) A1 (3.1) A2 (3.2) A1 = t A2 = t NP s(t) (t) 12 (3.1) NP s(t) (t) 12 MP (t) (3.2) NP s (t) t s MP (t) t s(t) t 4 (3.1) (3.2) A3 (3.3) A3 = A2 C NP A1 (3.3) C NP 60 A4 1 (3.4) A4 = t NP s(2009) (t) 12 (3.4)

16 P V NP (3.5) P V NP = A3 + A4 (3.5) (2) B2 (3.6) % B2 = P R(t) EP I(t) 12 MP (t)+ P R(t) 1.3 EP I(t) 12 M P (t) (3.6) t<2003 t 2003 P R(t) t 4 EP I(t) t MP (t) t 2 12 (3.6) B3 (3.7) B3 = B2 D EP I N EP I 12 (3.7) D EP I 2 N EP I 60 B4 2 (3.8) B4 = t P R(2009) 1.3 EP I(t) 12 (3.8) P V EP I (3.9) P V EP I = B3 + B4 (3.9)

17 (3) premium (3.10) (4) premium = P V NP + P V EP I (3.10) ) 3.11 BP t<2010 BP = 792,100 NM(s(t)) + t 2010 NM(s(2009)) + 2,400 NF (3.11) 40 NM(s) s NF 60 (5) ER (3.12) 16) ER = P R(t) MP (t) D EP I N EP I 12 + P R(2009) MP (t) t<2010 t (3.12) ) ) 65

18 (6) % % (3.13) benefit benefit = (NP + ER + ADD) 1 vn 1 v ADD v = ( ) 1 n (3.13)

19 )

20 % % % ) ) % 18)

21 % 35.8% 3 792, % 19) 50% ) 40

22 % ) %

23 ,297 2, % ,191 1, % , % % 37 3, % 43 4, % 60% 80% % % 4 1.4% % % ) 20) 1 50% 21) 4

24 % 81.3% 84.6% 77.2% ) ) 22) ) ,020

25 % 27.3% 24.0% 12.1% ) [1 ] [2 ] [3 ] )

26 % 50.6% 85.8% 68.3% 25.7% 43.5% 13.8% 55.4% % 7.5% 8.9% 8.9% 100.0% % 41.9% 87.5% 56.0% 58.6% 36.8% 100.0% % 87.3% 88.1% 36.6% 68.2% 16.0% 45.5% % 88.7% 89.1% 21.7% 69.3% 10.9% 60.5% % 85.5% 89.8% 85.7% 20.7% 69.2% 12.7% 58.0% % 74.3% 88.9% 73.3% 23.5% 74.3% 15.0% 71.7% % 53.5% 84.2% 72.0% 22.0% 65.4% 14.4% 59.4% % 48.0% 79.4% 62.9% 16.6% 43.1% 11.8% 41.8% % 47.2% 72.0% 60.0% 11.8% 38.1% 8.1% 27.7%

27 ) ) 25

28 ) % % % % % % JMP8.0 27) 26) ) JMP

29 313 28) 29) 30) 31) 32) 33) 19 5% (1999) ) ) 29) [1] [2] 30) [1] [2] [3] 31) [1] [2] 32) 33) [1] [0] 34) 1960

31 ) % 35) 23

32 (2010) 22 ) (1999). (2010). 21 (2011). info/pdf/ web.pdf (2005). 17. (2009). 19

33 317 (2008) (2009). 19 (2011) pdf/hr pdf (1996). (2010).

Ⅱ 方法と対象 1. 所得段階別保険料に関する情報の収集 ~3 1, 分析手法

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