第3章.DOC

Size: px
Start display at page:

Download "第3章.DOC"

Transcription

1 000 Ben-Akiva and Lerman,

2 1997 Banister, 1978; Verplanken et al.,

3 () (I n ) 1 18 I n n P n (1) P n ( 1) = exp exp ( Vn 1 ) I n 1 ( V ) + exp µ ln exp ( V ) n1 + i= ni (3.1) V n1 V ni (i =,3,,I n ) Vn ( +1) I n µ P n (i) (i =,3,,I n ) P n (I n + 1) 6

4 P n ( i) exp µ ln = exp n1 exp( Vni ) I + 1 n i= ( V ) n ( V ) + exp µ ln exp( V ) exp ( V ) ni I + 1 n i= exp I + 1 i= ni ni i =, 3,, I n + 1 (3.) McFadden (1978) (3.1),(3.) V ni (i =, 3,, I n + 1) V ni / µ Daly (1987) Koppelman and Wen (1998) McFadden McFadden µ, 3,, I n + 1 µ µ = 1 µ = 0 µ µ µ µ Baht, 1997 ( ) µ = µ 0 exp αx n (3.3) µ 0 α X n 7

5 (3.3) (3.1) (3.) , % 859 3,171 1, % 3, (6.3) (1.8) (0.) (-) (8.4) (6.3) (11.1) (1.8) (0.) (19.4) (3.8) (14.7) (4.1) (0.8) (3.3) (3.4) (18.5) (6.) (1.4) (9.5) (1.) (7.6) (3.6) (1.) (13.6) (0.4) (.6) (1.8) (0.9) (5.8) (1.5) (56.3) (17.7) (4.5) (100.0) ( ): -:

6 Coef. t * ,3,, I n ,3,, I n ,3,, I n ,3,, I n ,3,, I n I n I n I n µ , L(0) = -8.0, L(β) = , χ = 46.7 (df = 0) 3 χ

7 µ (= 1.03 exp(-0.80)) 0.17 (= 1.03 exp(-1.79)) (= 1.03 exp( )) 3 3 L(β)

8 χ 9.8 (= - {(-163.6) (-158.7)}) (df = ) (3.4) S E i C j S C i i = (3.4) j S C j C i i S i i C j = j = i NL ML C j = j = i NL ML C j = j 1 i NL ML

9

10 33

11 3 Banister, D. (1978) The influence of habit formation on modal choice a heuristic model, Transportation, Vol. 7, pp Bhat, C. (1997) Covariance heterogeneity in nested logit models: econometric structure and application to intercity travel, Transportation Research B, Vol.31, No.1, pp Ben-Akiva, M. and Lerman, S. R. (1985) Discrete Choice Analysis: Theory and Application to Travel Demand, The MIT Press, Massachusetts. Daly, A. (1987) Estimating tree logit models, Transportation Research B, Vol. 1B, pp Koppelman, F. S. and Wen, C.-H. (1998) Alternative nested logit models: structure, properties and estimation, Transportation Research B, Vol. 3B, pp McFadden, D. (1978) Modeling the choice of residential location, Transportation Research Record, No. 67, pp Verplanken, B., Aarts, H., van Knippenberg, A. and Moonen, A. (1998) Habit versus planned behaviout: a field experiment, British Journal of Social Psychology, Vol. 37, pp mimeograph No. 536/IV-31, pp No. 569/IV-36, pp No.13, pp

Step 1) Step 2) X (Verplanken & Aarts, ) ) (Gärling, et al., ) ) X BI Step 1) Step 2) Step 1) - - (Verplanken,et al.,

Step 1) Step 2) X (Verplanken & Aarts, ) ) (Gärling, et al., ) ) X BI Step 1) Step 2) Step 1) - - (Verplanken,et al., 1 1 152-8552 2-12-1 2002 BI 2001 BI BI - - BI Key Words: behavioral intention method, travel demand forecasting, behavior-intention consistency behavioral intention 5 1 BI 2002 6 BI 2 2002 6) BI (Behavioral

More information

untitled

untitled * 2009 6 15 2006 10 24 MNP MNP MNP MNP MNP 18% 2.6% Keywords: Mobile Number Portability (MNP), Switching Cost, Nested Logit Model, Choice-based Sampling JEL Classification: D12, L96 1. 2006 10 24 (Mobile

More information

KATO, Hironori ONODA, Keiichi KIMATA, Masaki Becker DeSerpa 7 8 value of saving time Value of Travel Time Saving VTTS 002 Vol.

KATO, Hironori ONODA, Keiichi KIMATA, Masaki Becker DeSerpa 7 8 value of saving time Value of Travel Time Saving VTTS 002 Vol. KATO, Hironori ONODA, Keiichi KIMATA, Masaki 1 2 3 4 5 6 2 2.1 Becker 1 26 DeSerpa 78 value of saving time Value of Travel Time Saving VTTS 2 Vol.9 No.2 26 Summer 2.2 9111 X T xt Pt i i c i i I T ˆt i

More information

わが国企業による資金調達方法の選択問題

わが国企業による資金調達方法の選択問題 * takeshi.shimatani@boj.or.jp ** kawai@ml.me.titech.ac.jp *** naohiko.baba@boj.or.jp No.05-J-3 2005 3 103-8660 30 No.05-J-3 2005 3 1990 * E-mailtakeshi.shimatani@boj.or.jp ** E-mailkawai@ml.me.titech.ac.jp

More information

Hi-Stat Discussion Paper Series No.248 東京圏における 1990 年代以降の住み替え行動 住宅需要実態調査 を用いた Mixed Logit 分析 小林庸平行武憲史 March 2008 Hitotsubashi University Research Unit

Hi-Stat Discussion Paper Series No.248 東京圏における 1990 年代以降の住み替え行動 住宅需要実態調査 を用いた Mixed Logit 分析 小林庸平行武憲史 March 2008 Hitotsubashi University Research Unit Hi-Stat Discussion Paper Series No.248 東京圏における 1990 年代以降の住み替え行動 住宅需要実態調査 を用いた Logit 分析 小林庸平行武憲史 March 2008 Hitotsubashi University Research Unit for Statistical Analysis in Social Sciences A 21st-Century

More information

No.12‡¨‡à‡Ä

No.12‡¨‡à‡Ä S MORICHI, Shigeru TODOROKI, Tomoyuki 1 1964 3 5 1 71 8 2 2.1 1 Koppelman 2 3 4 5 6 7 8 Vol.4 No.1 21 Spring 8 Diffusion 591 5,6,9,1 2.2 1 2 2 1 11 5 2 1 3 3.1 1 2 1 1 5 155 15 3 15 13 1 1 3 1 1 1 3 Vol.4

More information

1 はじめに 85

1 はじめに 85 1 はじめに 85 2 ジョイント スペースによるブランド選択の分析 2.1 ジョイント スペース マップ 86 2.2 ジョイント スペースとマーケティング変数を組み込んだブランド選択モデル hjt exp hjt exp hit h jt hjt hjt hjt hjt hk hjkt hjt k k hk h k hj hmt jm. m m hmt h m t jm m j hjt jm hmt.

More information

59-1・2 鳥居昭夫・春日教測 .pwd

59-1・2 鳥居昭夫・春日教測 .pwd logit JEL Classifications: D10, M30, L82 Wilbur 2008 Shishikura et al. 2018 and de Gracia 2012 Bayraktaroglu et al. 2018 Carare and Zentner 2012 Carare and Zentner 2012 Train et al. 1987 Hendel 1999 Spence

More information

BB 報告書完成版_修正版)040415.doc

BB 報告書完成版_修正版)040415.doc 3 4 5 8 KW Q = AK α W β q = a + α k + βw q = log Q, k = log K, w = logw i P ij v ij P ij = exp( vij ), J exp( v ) k= 1 ik v i j = X β αp + γnu j j j j X j j p j j NU j j NU j (

More information

橡同居選択における所得の影響(DP原稿).PDF

橡同居選択における所得の影響(DP原稿).PDF ** *** * 2000 13 ** *** (1) (2) (1986) - 1 - - 2 - (1986) Ohtake (1991) (1993) (1994) (1996) (1997) (1997) Hayashi (1997) (1999) 60 Ohtake (1991) 86 (1996) 89 (1997) 92 (1999) 95 (1993) 86 89 74 79 (1986)

More information

( β K ) p β W W p β K K aβ β W W β β K K ) 1/(βW +β K ) 3 ln C =lnα + 1 β W + β K ln Q (3) 1/(β W + β K ) ( β W + β K ) 4 ( ) ( ) (1998 2 1 3 ) ( 1998

( β K ) p β W W p β K K aβ β W W β β K K ) 1/(βW +β K ) 3 ln C =lnα + 1 β W + β K ln Q (3) 1/(β W + β K ) ( β W + β K ) 4 ( ) ( ) (1998 2 1 3 ) ( 1998 3 1 1993-1995 ( Cobb-Douglas ) (1998 2 3 ) ( ) 17 (1998 2 1 ) 1 Christensen, Jorgensonand Lau (1973) 1983 ( ) 2 W = K = β W,β K > 0 Q = aw βw K βk (1) C = αq 1/(βW +βk) (2) 10 ( (A) (A03) ) ( ) ( ) 1 2

More information

Cost-Effectiveness Analysis

Cost-Effectiveness Analysis IWAKURA, Seiji IEDA, Hitoshi 1 9 9 7 10 3 1 59 10 1 WG 30 2 3 1960 4 1 002 Vol.1 No.3 1999 Winter 2 5. 4. Cost-Effectiveness Analysis 1 2 8 11 7 139 8 11 29 9 4 4 9 1 29 9 4 4 57 9 7 9 6 3 9 6 19 9 8 6

More information

JAPAN MARKETING JOURNAL 111 Vol.28 No.32008

JAPAN MARKETING JOURNAL 111 Vol.28 No.32008 Japan Marketing Academy JAPAN MARKETING JOURNAL 111 Vol.28 No.32008 JAPAN MARKETING JOURNAL 111 Vol.28 No.32008 JAPAN MARKETING JOURNAL 111 Vol.28 No.32008 JAPAN MARKETING JOURNAL 111 Vol.28 No.32008 Japan

More information

Micro-D 小型高密度角型コネクタ

Micro-D 小型高密度角型コネクタ Micro- 1 2 0.64 1.27 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1 2 3 4 5 6 7 8 9 10 11 12 13 1.09 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 3 4 J J

More information

産衛誌57-4たより.indb

産衛誌57-4たより.indb A89 26 7 1 9 4 33 1 87 A90 24 A91 23 ACOH2014 A92 4 1 2 3 4 5 6 7 A93 A94 A95 A96 A97 A98 A99 A100 A101 27 8 1 9 A102 4 33 A103 A104 26 3 140 27 1 A105 27 A106 A107 A108 A109 A110 A111 A112 A113 et al

More information

112 sequential aliment method (a) V in = β 1 x 1in + β 2 x 2in + + β K x Kin (3.120) V in n i x kin n i k β k k (x kin ) (β k ) (3.120)

112 sequential aliment method (a) V in = β 1 x 1in + β 2 x 2in + + β K x Kin (3.120) V in n i x kin n i k β k k (x kin ) (β k ) (3.120) 112 sequential aliment method 3.2 3.2.1 (a) V in = β 1 x 1in + β 2 x 2in + + β K x Kin (3.120) V in n i x kin n i k β k k (x kin ) (β k ) (3.120) 3.2 113 U in = β 1 x 1in + β 2 x 2in + + β K x Kin + ϵ

More information

Vol. 42 No pp Headcount ratio p p A B pp.29

Vol. 42 No pp Headcount ratio p p A B pp.29 1990 2003 2005 2000 1998 2004 2001 2 2000 2001 2000 1 Vol. 42 No. 2 2005 pp.21-22 25 25-29 30-34 1999 1 Headcount ratio 2 1995 20-25 25-30 2005 p.25 2005 2000 2 15 34 2003 p.3 15 34 A B 3 4 3 3 2003 pp.29-332001

More information

CO CO2 1 CO2 CO2 CO2 CO CO2 CO2 CO2 9 3CO2 CO2 a, b2 a a1 a2 a3 a4 b a 3 ELC-CO2 CO2 CO2 CO2 Vol.2 No Spring 3

CO CO2 1 CO2 CO2 CO2 CO CO2 CO2 CO2 9 3CO2 CO2 a, b2 a a1 a2 a3 a4 b a 3 ELC-CO2 CO2 CO2 CO2 Vol.2 No Spring 3 CO2 CO2 CO2 LCA HAYASHI, Yoshitsugu KATO, Hirokazu UENO, Yoichi 1 CO2 2 CO2 1 3 2 1 1 8 6 4 2 4 2 % 89 1975 198 199 CO2 CO2 2 CO2 1 1989 35,7 CO2 21 26. 5 1 15 19971 19.4 115. 12.6 117.2 1,5cc1,2kg15 12km/l1,km1

More information

平成19年度

平成19年度 1 2 3 4 H 3 H CC N + 3 O H 3 C O CO CH 3 CH O CO O CH2 CH 3 P O O 5 H H H CHOH H H H N + CHOH CHOH N + CH CH COO- CHOH CH CHOH 6 1) 7 2 ) 8 3 ) 4 ) 9 10 11 12 13 14 15 16 17 18 19 20 A A 0 21 ) exp( )

More information

Evaluation of a SATOYAMA Forest Using a Voluntary Labor Supply Curve Version: c 2003 Taku Terawaki, Akio Muranaka URL: http

Evaluation of a SATOYAMA Forest Using a Voluntary Labor Supply Curve Version: c 2003 Taku Terawaki, Akio Muranaka URL: http 14 9 27 2003 Evaluation of a SATOYAMA Forest Using a Voluntary Labor Supply Curve 1 1 2 Version: 15 10 1 c 2003 Taku Terawaki, Akio Muranaka URL: http://www.taku-t.com/ 1 [14] 3 [10] 3 2 Andreoni[1] Duncan[7]

More information

フィナンシャルレビュー 第80号

フィナンシャルレビュー 第80号 March Eichner et al. Tobit Tobit Buntin and Zaslavsk Duan et al.hay and Olsen Mullahy Tobit ARMA Feenberg and Skinner French and Jones Eichner et al. Eichner et al i t m i,t Em i,t Prm i,t!prm i,t Em i,t

More information

1 913 10301200 A B C D E F G H J K L M 1A1030 10 : 45 1A1045 11 : 00 1A1100 11 : 15 1A1115 11 : 30 1A1130 11 : 45 1A1145 12 : 00 1B1030 1B1045 1C1030

1 913 10301200 A B C D E F G H J K L M 1A1030 10 : 45 1A1045 11 : 00 1A1100 11 : 15 1A1115 11 : 30 1A1130 11 : 45 1A1145 12 : 00 1B1030 1B1045 1C1030 1 913 9001030 A B C D E F G H J K L M 9:00 1A0900 9:15 1A0915 9:30 1A0930 9:45 1A0945 10 : 00 1A1000 10 : 15 1B0900 1B0915 1B0930 1B0945 1B1000 1C0900 1C0915 1D0915 1C0930 1C0945 1C1000 1D0930 1D0945 1D1000

More information

P-12 P-13 3 4 28 16 00 17 30 P-14 P-15 P-16 4 14 29 17 00 18 30 P-17 P-18 P-19 P-20 P-21 P-22

P-12 P-13 3 4 28 16 00 17 30 P-14 P-15 P-16 4 14 29 17 00 18 30 P-17 P-18 P-19 P-20 P-21 P-22 1 14 28 16 00 17 30 P-1 P-2 P-3 P-4 P-5 2 24 29 17 00 18 30 P-6 P-7 P-8 P-9 P-10 P-11 P-12 P-13 3 4 28 16 00 17 30 P-14 P-15 P-16 4 14 29 17 00 18 30 P-17 P-18 P-19 P-20 P-21 P-22 5 24 28 16 00 17 30 P-23

More information

2 (S, C, R, p, q, S, C, ML ) S = {s 1, s 2,..., s n } C = {c 1, c 2,..., c m } n = S m = C R = {r 1, r 2,...} r r 2 C \ p = (p r ) r R q = (q r ) r R

2 (S, C, R, p, q, S, C, ML ) S = {s 1, s 2,..., s n } C = {c 1, c 2,..., c m } n = S m = C R = {r 1, r 2,...} r r 2 C \ p = (p r ) r R q = (q r ) r R RF-004 Hashimoto Naoyuki Suguru Ueda Atsushi Iwasaki Yosuke Yasuda Makoto Yokoo 1 [10] ( ). ( ) 1 ( ) 3 4 3 4 = 12 deferred acceptance (DA) [3, 7] [5] ( ) NP serial dictatorship with regional quotas (SDRQ)

More information

Preliminary Version Manning et al. (1986) Rand Health Insurance Experiment Manning et al. (1986) 3 Medicare Me

Preliminary Version Manning et al. (1986) Rand Health Insurance Experiment Manning et al. (1986) 3 Medicare Me Preliminary Version. 600 * 14530029 12-1- Preliminary Version. 1 70 1 1997 9 1020 70 1 3 2 70 1 Manning et al. (1986) Rand Health Insurance Experiment 25 50 Manning et al. (1986) 3 Medicare Medicare Medicare

More information

Stepwise Chow Test * Chow Test Chow Test Stepwise Chow Test Stepwise Chow Test Stepwise Chow Test Riddell Riddell first step second step sub-step Step

Stepwise Chow Test * Chow Test Chow Test Stepwise Chow Test Stepwise Chow Test Stepwise Chow Test Riddell Riddell first step second step sub-step Step Stepwise Chow Test * Chow Test Chow Test Stepwise Chow Test Stepwise Chow Test Stepwise Chow Test Riddell Riddell first step second step sub-step Stepwise Chow Test a Stepwise Chow Test Takeuchi 1991Nomura

More information

And Business

And Business Discussion Papers In Economics And Business Discussion Paper 03-06 Graduate School of Economics and Osaka School of International Public Policy (OSIPP) Osaka University, Toyonaka, Osaka 560-0043, JAPAN

More information

Hansen 1 2, Skinner 5, Augustinus 6, Harvey 7 Windle 8 Pels 9 1 Skinner 5 Augustinus 6 Pels 9 NL Harvey ML 11 NL

Hansen 1 2, Skinner 5, Augustinus 6, Harvey 7 Windle 8 Pels 9 1 Skinner 5 Augustinus 6 Pels 9 NL Harvey ML 11 NL HANAOKA, Shinya 1 3 Hansen1, 2 1 2 3 Hansen 2 3 4 5 2 2.1 002 Vol.5 No.4 2003 Winter 3 4 2.2 Hansen 1 2, Skinner 5, Augustinus 6, Harvey 7 Windle 8 Pels 9 1 Skinner 5 Augustinus 6 Pels 9 NL Harvey 10 2.3

More information

136 pp p µl µl µl

136 pp p µl µl µl 135 2006 PCB C 12 H 10-n Cl n n 1 10 CAS No. 42 PCB: 53469-21-9, 54 PCB: 11097-69-1 0.01 mg/m 3 PCB PCB 25 µg/l 136 pp p µl µl µl 137 1 γ 138 1 γ γ γ µl µl µl µl µl µl µl l µl µl µl µl µl l 139 µl µl µl

More information

Jan. 2005 Jan. 2005 2 4 12 13 23 29 42 47 52 58 59 68 95 96 69 72 77 78 83 84 2 / 3 4 Vol.78 No.1 2005 5 6 Vol.78 No.1 2005 A040728 0043 7 V 8 Vol.78 No.1 2005 9 µ 10 Vol.78 No.1 2005 µ 11 12 Vol.78 No.1

More information

untitled

untitled -- -- -3- % % % 6% % % 9 66 95 96 35 9 6 6 9 9 5 77 6 6 5 3 9 5 9 9 55 6 5 9 5 59 () 3 5 6 7 5 7 5 5 6 6 7 77 69 39 3 6 3 7 % % % 6% % % (: ) 6 65 79 7 3 36 33 9 9 5 6 7 3 5 3 -- 3 5 6 76 7 77 3 9 6 5

More information

untitled

untitled NO. 2007 10 10 34 10 10 0570-058-669 http://www.i-nouryoku.com/index.html (40 ) () 1 NO. 2007 10 10 2.2 2.2 130 70 20 80 30 () () 9 10 () 78 8 9 () 2 NO. 2007 10 10 4 7 3 NO. 2007 10 10 40 20 50 2 4 NO.

More information

untitled

untitled ADSLFTTH P2P CDN(Contents Delivery Network) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55

More information

164 2006 1995 1990 2001, 2005 1991 897 1,733 2011 35.2% 3 1985 4 1997 2009 : 197-198 13 1986 16 96 26 99 2004 1 07 3 3 23

164 2006 1995 1990 2001, 2005 1991 897 1,733 2011 35.2% 3 1985 4 1997 2009 : 197-198 13 1986 16 96 26 99 2004 1 07 3 3 23 均 等 法 世 代 の 男 女 格 差 片 瀬 一 男 1. 20 2002 2010 : 2010 1975 76 85 10 86 3 85 87 1 91 94 99 1999 2000 2010 : 129-135 2 1970 1997 1 3 20 60 130 3 38 2 2010 2001 25% 40% 2006 2010 2010 : 131-135 2010 : 135 21

More information

73 p.1 22 16 2004p.152

73 p.1 22 16 2004p.152 1987 p.80 72 73 p.1 22 16 2004p.152 281895 1930 1931 12 28 1930 10 27 12 134 74 75 10 27 47.6 1910 1925 10 10 76 10 11 12 139 p.287 p.10 11 pp.3-4 1917 p.284 77 78 10 13 10 p.6 1936 79 15 15 30 80 pp.499-501

More information

308 ( ) p.121

308 ( ) p.121 307 1944 1 1920 1995 2 3 4 5 308 ( ) p.121 309 10 12 310 6 7 ( ) ( ) ( ) 50 311 p.120 p.142 ( ) ( ) p.117 p.124 p.118 312 8 p.125 313 p.121 p.122 p.126 p.128 p.156 p.119 p.122 314 p.153 9 315 p.142 p.153

More information

日経テレコン料金表(2016年4月)

日経テレコン料金表(2016年4月) 1 2 3 4 8,000 15,000 22,000 29,000 5 6 7 8 36,000 42,000 48,000 54,000 9 10 20 30 60,000 66,000 126,000 166,000 50 100 246,000 396,000 1 25 8,000 7,000 620 2150 6,000 4,000 51100 101200 3,000 1,000 201

More information

122011pp.139174 18501933

122011pp.139174 18501933 122011pp.139174 18501933 122011 1850 3 187912 3 1850 8 1933 84 4 1871 12 1879 5 2 1 9 15 1 1 5 3 3 3 6 19 9 9 6 28 7 7 4 1140 9 4 3 5750 58 4 3 1 57 2 122011 3 4 134,500,000 4,020,000 11,600,000 5 2 678.00m

More information

29 2011 3 4 1 19 5 2 21 6 21 2 21 7 2 23 21 8 21 1 20 21 1 22 20 p.61 21 1 21 21 1 23

29 2011 3 4 1 19 5 2 21 6 21 2 21 7 2 23 21 8 21 1 20 21 1 22 20 p.61 21 1 21 21 1 23 29 2011 3 pp.55 86 19 1886 2 13 1 1 21 1888 1 13 2 3,500 3 5 5 50 4 1959 6 p.241 21 1 13 2 p.14 1988 p.2 21 1 15 29 2011 3 4 1 19 5 2 21 6 21 2 21 7 2 23 21 8 21 1 20 21 1 22 20 p.61 21 1 21 21 1 23 1

More information

Microsoft Word - 映画『東京裁判』を観て.doc

Microsoft Word - 映画『東京裁判』を観て.doc 1 2 3 4 5 6 7 1 2008. 2 2010, 3 2010. p.1 4 2008 p.202 5 2008. p.228 6 2011. 7 / 2008. pp.3-4 1 8 1 9 10 11 8 2008, p.7 9 2011. p.41 10.51 11 2009. p. 2 12 13 14 12 2008. p.4 13 2008, p.7-8 14 2008. p.126

More information

() L () 20 1

() L () 20 1 () 25 1 10 1 0 0 0 1 2 3 4 5 6 2 3 4 9308510 4432193 L () 20 1 PP 200,000 P13P14 3 0123456 12345 1234561 2 4 5 6 25 1 10 7 1 8 10 / L 10 9 10 11 () ( ) TEL 23 12 7 38 13 14 15 16 17 18 L 19 20 1000123456

More information

戦後の補欠選挙

戦後の補欠選挙 1 2 11 3 4, 1968, p.429., pp.140-141. 76 2005.12 20 14 5 2110 25 6 22 7 25 8 4919 9 22 10 11 12 13 58154 14 15 1447 79 2042 21 79 2243 25100 113 2211 71 113 113 29 p.85 2005.12 77 16 29 12 10 10 17 18

More information

2 2 3 4 5 5 2 7 3 4 6 1 3 4 7 4 2 2 2 4 2 3 3 4 5 1932 A p. 40. 1893 A p. 224, p. 226. 1893 B pp. 1 2. p. 3.

2 2 3 4 5 5 2 7 3 4 6 1 3 4 7 4 2 2 2 4 2 3 3 4 5 1932 A p. 40. 1893 A p. 224, p. 226. 1893 B pp. 1 2. p. 3. 1 73 72 1 1844 11 9 1844 12 18 5 1916 1 11 72 1 73 2 1862 3 1870 2 1862 6 1873 1 3 4 3 4 7 2 3 4 5 3 5 4 2007 p. 117. 2 2 3 4 5 5 2 7 3 4 6 1 3 4 7 4 2 2 2 4 2 3 3 4 5 1932 A p. 40. 1893 A p. 224, p. 226.

More information

LCC LCC INOUE, Gaku TANSEI, Kiyoteru KIDO, Motohiro IMAMURA, Takahiro LCC 7 LCC Ryanair 1 Ryanair Number of Passengers 2,000,000 1,800,000 1,

LCC LCC INOUE, Gaku TANSEI, Kiyoteru KIDO, Motohiro IMAMURA, Takahiro LCC 7 LCC Ryanair 1 Ryanair Number of Passengers 2,000,000 1,800,000 1, LCC LCC INOUE, Gaku TANSEI, Kiyoteru KIDO, Motohiro IMAMURA, Takahiro 1 23 LCC 7 LCC Ryanair 1 Ryanair Number of Passengers 2,, 1,8, 1,6, 1,4, 1,2, 1,, 8, 6, 4, 2, 1985 1987 199 1993 1996 1998 Barrett

More information

2 3 4 II. 8 10 12 14 20 8 6,000 3,695 61.6 10 6,000 3754 62.6 12 5,010 3,111 62.1 149,000558362.0 62% 4 2059 ++5 4 78.3 (2%) 2002 3 8 10,12 14 8

2 3 4 II. 8 10 12 14 20 8 6,000 3,695 61.6 10 6,000 3754 62.6 12 5,010 3,111 62.1 149,000558362.0 62% 4 2059 ++5 4 78.3 (2%) 2002 3 8 10,12 14 8 453200810 I. Dicks-Mireaux and King (1983)Hubbard (1985) Dicks-Mireaux and King (1983)Hubbard (1985)(1990)(2000) Attanasio and Brugiavini(2003), Attanasio and Rohwedder(2003) (unobservable) heterogeneity

More information

Microsoft Word - 論説(山本).doc

Microsoft Word - 論説(山本).doc 離散選択モデルの発展と今後の課題 Development of Discrete Choice Models and Future Tasks 山本俊行 * 1. はじめに大学の授業などで, 多項ロジット (MNL) モデルで重要な IIA 特性, すなわち,2 つの選択肢の選択確率の比は, その選択肢の確定効用にのみ影響を受け, 選択肢集合に含まれる他の選択肢の影響を受けない, という 無関係な選択肢からの選択確率の独立性

More information

みさき_1

みさき_1 2 3 4 5 6 7 1F 2F 8 9 10 11 17 18 19 20 21 22 23 24 31 25 26 27 28 29 30 8 1 2 3 4 5 6 7 6 8 7 16 7 8 9 10 11 12 14 15 13 17 23 Vol.41 8 6 20 11 7 15 7 23 7 7 7 16 23 23 8 13 18:00 22:00 722

More information

Vol..3 2010 2 10 2

Vol..3 2010 2 10 2 1 Vol..3 2010 2 10 2 Vol..3 2010 2 10 3 Vol..3 2010 2 10 4 Vol..3 2010 2 10 5 Vol..3 2010 2 10 6 Vol..3 2010 2 10 7 Vol..3 2010 2 10 8 Vol..3 2010 2 10 9 Vol..3 2010 2 10 10 Vol..3 2010 2 10 11 Vol..3

More information