4 2 p = p(t, g) (1) r = r(t, g) (2) p r t g p r dp dt = p dg t + p g (3) dt dr dt = r dg t + r g dt 3 p t p g dt p t r t = Benefit view dp
|
|
|
- るるみ みつだ
- 7 years ago
- Views:
Transcription
1 ( ) miyazaki@ngu.ac.jp
2 4 2 p = p(t, g) (1) r = r(t, g) (2) p r t g p r dp dt = p dg t + p g (3) dt dr dt = r dg t + r g dt 3 p t p g dt p t r t = Benefit view dp dt Benefit view dg (4) 2
3 New view dr dt Wassmmer (1993) Carroll and Yinger (1994) p it = p(t it, H it, L it, K it, G it, A it ) (5) r it = r(t it, H it, L it, K it, G it, A it ) (6) T it p it G it r it H it L it H it A it H it Wassmmer (1993) L it H it 3
4 2 A it log p it = a 1 log T it + a 2 log K it + a 3 log H it + a 4 log K it +a 5 log G it + a 6 log A it + α i + λ t + ɛ pit (7) log r it = b 1 log T it + b 2 log K it + b 3 log L it + b 4 log K it +b 5 log G it + b 6 log A it + α i + λ t + ɛ rit (8) α i λ t ɛ pit ɛ rit With-in (7) b a 4
5 (7) Baltagi (2001) the error component two-stage least squares EC2SLS Hausman (1978) 1 2 Hausman Hausman p 5% 1% b b 1 (= ) (= ) 5
6 1999 a a 1 dp a 5 dt d log p d log t = a d log G 1 + a 5 d log t (9) 3 dg 3 dt dlngi dlnt GI 6
7 3.3.1 log GI it = c 1 log T it + c 2 log L it + b 3 log A it +α i + λ t + ɛ GIit (10) 10 Wassmmer 1993 = 3 Hausman d log G d log t a 1 1a a 5 1a d log p d log t Benefit view dg dt E = t P T B (11) E t PTB 7
8 de dt = t dp T B + P T B dt t dp T B = P T B + P T B P T B dt t dp T B = c 1 P T B dt de dt = (1 + d 1)P T B (12) 11 d d 1 d log GI d log t = dgi t GI dt = dg t de de GI dt E dgi de de dt 12 d log GI 9 d log t a a t GI d log p d log t 0.1 Benefit view 8
9 4 New view Wassmmer (1993)
10 A [1] 2002 Discussion Paper USM [2] pp [3] pp
![USM-01-02 [2] 1999 15 3](/docs-images/41/22565322/images/page_10.jpg "pp.19-35 [3] 1996 41 pp.")
11 [4] [5] pp [6] pp [7] [8] (2003b) 169 pp [9] (2003a) 171 pp [10] pp.3-26 [11] Baltagi, B. H. (2001)Econometric Analysis of Panel Data, 2nd ed., Chichester: John Wiley & Sons. [12] Carroll, R. J. and J. Yinger. (1994) Is the Property Tax is a Benefit Tax? The Case of Rental Housing, National Tax Journal vol 47 (2), pp [13] Hausman, J. A. (1978) Specification Tests in Econometrics, Econometrica, 46, pp [14] Wassmer, R. W. (1993) Property Taxation, Property Base, and Property Value: an Empirical Test of the New View, National Tax Journal vol 46 (2), pp
![The Case of Rental Housing, National Tax Journal vol 47 (2), pp.295-316. [13] Hausman, J. A. (1978) Specification Tests in Econometrics, Econometrica, 46, pp.](/docs-images/41/22565322/images/page_11.jpg "1251-1271. [14] Wassmer, R. W. (1993) Property Taxation, Property Base, and Property Value: an Empirical Test of the New View, National Tax Journal vol 46 (2), pp.")
12 1a: ( ) = =188 independent variable Fixed Random log T it (0.046) (0.044) log H it (0.567) (0.293) log L it (0.491) (0.139) log K it (0.076) (0.058) log G it (0.186) (0.107) log OW N it (0.566) (0.329) log P OP it (1.115) (0.265) log DENSIT Y it (0.824) (0.048) Hausman chi2(8)=59.39 p ) 1% 5% 10% 1b: ( ) = =141 independent variable Fixed Random log T it (0.135) (0.078) log H it (1.534) (0.352) log L it (0.940) (0.149) log G it (0.457) (0.144) log OW N it (0.934) (0.376) log P OP it (2.234) (0.337) log DENSIT Y it (1.050) (0.055) Hausman chi2(8)=31.58 p ) 1% 5% 10% =log T it log G it log H it =log P T B it 1 log T it 1 log G it 1 log H it 1 log L it log K it log OW N it log P OP it log DENSIT Y it 12
13 2a: ( ) = =188 independent variable Fixed Random log T it (0.029) (0.034) log H it (0.355) (0.232) log L it (0.308) (0.110) log K it (0.048) (0.045) log G it (0.117) (0.084) log OW N it (0.355) (0.260) log P OP it (0.699) (0.209) log DENSIT Y it (0.517) (0.038) Hausman chi2(8)=34.17 p ) 1% 5% 10% 2b: ( ) = =141 independent variable Fixed Random log T it (0.034) (0.036) log H it (0.625) (0.247) log L it (0.491) (0.114) log K it (0.068) (0.053) log G it (0.224) (0.100) log OW N it (0.451) (0.278) log P OP it (1.012) (0.225) log DENSIT Y it (0.565) (0.041) Hausman chi2(8)=8.88 p ) 1% 5% 10% =log G it,log H it =log r it 1 log G it 1 log T it log H it 1 log L it log K it log OW N it log P OP it log DENSIT Y it 13
14 3: = =188 independent variable Fixed Random log T it (0.029) (0.047) log L it (0.247) (0.116) log S it (0.125) (0.070) log P OP it (1.529) (0.130) log DENSIT Y it (1.312) (0.064) Hausman chi2(5)=61.63 p ) 1% 5% 10% 4: = =188 independent variable Fixed Random log T it (0.035) (0.039) log H it (0.434) (0.275) log L it (0.376) (0.131) log K it (0.058) (0.528) log G it (0.143) (0.099) log OW N it (0.434) (0.307) log P OP it (0.854) (0.248) log DENSIT Y it (0.632) (0.046) Hausman chi2(8)=55.44 p ) 1% 5% 10% 14
15
株式保有構成と企業価値 ─コーポレート・ガバナンスに関する一考察─
q E-mail: kenji.nishizaki@boj.or.jp E-mail: kurasawa@ynu.ac.jp OECD Vives Tirole Shleifer and Vishny q %% %% % % Allen and Gale %% % Admati, Pfreiderer and Zechner Burkart, Gromb and Panunzi Cremer 1995Pagno
4.9 Hausman Test Time Fixed Effects Model vs Time Random Effects Model Two-way Fixed Effects Model
1 EViews 5 2007 7 11 2010 5 17 1 ( ) 3 1.1........................................... 4 1.2................................... 9 2 11 3 14 3.1 Pooled OLS.............................................. 14
,255 7, ,355 4,452 3,420 3,736 8,206 4, , ,992 6, ,646 4,
30 8 IT 28 1,260 3 1 11. 1101. 1102. 1103. 1 3 1,368.3 3 1,109.8 p.5,p.7 2 9,646 4,291 14.5% 10,p.11 3 3,521 8 p.13 45-49 40-44 50-54 019 5 3 1 2,891 3 6 1 3 95 1 1101 1102 1103 1101 1102 1103 1 6,255
Microsoft Word - 計量研修テキスト_第5版）.doc
Q10-2 テキスト P191 1. 記述統計量 ( 変数 :YY95) 表示変数として 平均 中央値 最大値 最小値 標準偏差 観測値 を選択 A. 都道府県別 Descriptive Statistics for YY95 Categorized by values of PREFNUM Date: 05/11/06 Time: 14:36 Sample: 1990 2002 Included
Ishi
Ishi HPhttp: // www.mof.go.jp / jouhou / syuzei / siryou /.htm.. or ERTA, TRA ERTA Economic Recovery Tax Act TRA Tax Reform Act Mroz Triest Lindsey Burtless Navrati Lindsey Burtless Navrati CPS Current
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
Mantel-Haenszelの方法
Mantel-Haenszel 2008 6 12 ) 2008 6 12 1 / 39 Mantel & Haenzel 1959) Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J. Nat. Cancer Inst. 1959; 224):
1 2 2005 1983 1 ()1984 2 1947 1950 19791996 1
KEO Discussion Paper No.104 19451947 * ** 2006 11 19451947 * ** 1 2 2005 1983 1 ()1984 2 1947 1950 19791996 1 4 A A A A A 3 3 1990 19952003A2003B 4 2 198719941997 1995 1995 3 5 6 1998: 30 40 19701992 7
Brennan, G. and Lomasky, L., Democracy and Decision : The Pure Theory of Electoral Preference, Cambridge: Cambridge U. P., 1993. Campbell, A., Converse, P. E., Miller W. E., and Stokes, D. E., Elections
JCOAL journal_Vol4（表紙）_0603
JCOAL Journal vol.4 2006.3 01_ 02_ 12_ 25_ 29_ 33_ 01 JCOAL Journal JCOAL Journal 02 03 JCOAL Journal JCOAL Journal 04 05 JCOAL Journal JCOAL Journal 06 07 JCOAL Journal JCOAL Journal 08 s s s s s s s
Autumn 06 1 2005 100 100 1 100 1 2003 2005 10 2003 2005 2
2005 25-2 17 395.6 149.1 1 2004 2 2003p.13 3 Autumn 06 1 2005 100 100 1 100 1 2003 2005 10 2003 2005 2 Vol. 42 No. 2 2 100 20052005 2002 20052005 3 2005 10 1 II III IV 1 1 1 2 1 4 15-2 30 4,091 54.5 2
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 (
M&A Brav et al.(2005) TOPIX Core30 4 TOPIX Core
1 2 ROE PBR 1 2 3 3.1 3.2 3.3 4 2006 1 2 1906 49.5 90 M&A Brav et al.(2005) 3 2 3 4 2006 1 TOPIX Core30 4 TOPIX Core30 30 5 3 18 12 14 5 4 http://www.tse.or.jp/topix/core30/index.html 5 2001 2005 5 30
取扱説明書[d-01G]
![取扱説明書[d-01G]](/thumbs/40/20690255.jpg "取扱説明書[d-01G]")
d-01g 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 T 18 1 2 19 3 1 2 4 3 4 20 21 1 2 3 4 22 1 T 2 T 1 T 2 T 23 1 T 1 2 24 25 1 2 26 1 T 27 1 2 3 1 2 3 28 29 30 1 2 1 2 31 1 2 3 32 1 2 3 4 5 1 2 3 4 33 1
FASB Revenue and Expense View Asset and Liability View FASB, FASB Discussion Memorandum, An Analysis of Issues related to Conceptual Framework for Financial Accounting and Reporting: Elements of Financial
Microsoft Word - 慶應義塾大学 山田篤裕研究会 社会保障政策分科会A（雇用形態に対応した年金制度を求めて～国民年金納付率の分析からの厚生年金適用拡大~）.doc
1 A 1 1 2 1961 50 2011 3 20 1 1 2 3 1 20 70 2 3 4 3 4 1 1 2 3 4 2 1 2 1 2 1 1 2 20 3 2 5 2010 23.1%2050 40% 2 1961 50 3 2005 1.26 2 23 3 21 6 1 1 1 1961 1985 1990 1 2 3 3 1 1 2011.10.28 http://www.mhlw.go.jp/topics/nenkin/zaisei/01/
本邦株式市場の流動性に関する動学的考察―東京証券取引所のティック・データ分析―
tightnessdepth resiliency BIS Market Liquidity: Research Findings and Selected Policy Implications BISWorld Wide Web http://www.bis.org E-mail: jun.muranaga@boj.or.jp Muranaga and Shimizu O Hara Muranaga
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
JAPAN MARKETING JOURNAL 112 Vol.28 No.42009
JAPAN MARKETING JOURNAL 112 Vol.28 No.42009 JAPAN MARKETING JOURNAL 112 Vol.28 No.42009 JAPAN MARKETING JOURNAL 112 Vol.28 No.42009 JAPAN MARKETING JOURNAL 112 Vol.28 No.42009 JAPAN MARKETING JOURNAL 112
４ 小川／小川
B p p B pp M p T p M p Tp T pt T p T p T p p Tp T T p T p T pt p Tp p p p p p p p p T p p T T M M p p p p p p T p p p T T p T B T T p T T p T p T T T p T p p T p Tp T p p Tp T p T Tp T T p T p T p T p
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
....671-......3.Z...QXD (Page 1)
http://www.mhlw.go.jp/topics///tp- /.html , ..,,, .......... p. p. p. p. p. p. p. p. p http://bktp.org/news/. pp.- pp. -. pp. -. pp.-. COE pp.-. pp.-. pp.-. pp. -. pp.-. pp.-. ESRI Discussion
ビールと発泡酒の税率と経済厚生
RIETI Discussion Paper Series 12-J-019 RIETI Discussion Paper Series 12-J-019 2012 年 6 月 ビールと 発 泡 酒 の 税 率 と 経 済 厚 生 * 慶 田 昌 之 ( 立 正 大 学 ) 要 旨 本 稿 では, 近 年 ビール 系 飲 料 として 販 売 されている 発 泡 酒 の 登 場 によって 発 生 している
untitled
IV 1 IV 2 (i) 2 0.13 0.23 1 (i) 3 ( 0.11 0.19 0.5% 2 (ii) 1% (ii) 1,000, 1,000 (1 Q) G A 0.02 {e i ) 1} Q (e 5 1) 0.02 β Ρ (iii) 1 1 QG {e ig ( i G ) 1} QG (e 5 1) Ρ e in e i G n Q e in 1 e i G n 1 1 1
( 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
C. R. McKenzie 2003 3 2004 ( 38 ) 2 2004 2005 (Keio Household Panel Survey) control group treatment group 1
KEIO UNIVERSITY MARKET QUALITY RESEARCH PROJECT (A 21 st Century Center of Excellence Project) DP2005-020 * C. R. McKenzie** 2003 3 2004 ( 38 ) 2 2004 2005 (Keio Household Panel Survey) control group treatment
Microsoft Word - Šv”|“Å‘I.DOC
90 ª ª * E-mailshinobu.nakagawa@boj.or.jp i ii iii iv SNA 1 70 80 2 80 90 80 80 90 1 80 90 98 6 1 1 SNA 2 1 SNA 80 1SNA 1 19931998 1 2-190 1,2 2 2-2 2-3,4 3 2-5 4 2030 2-3 3 2-15 97 20 90 2-15 9198 1.
P.5 P.6 P.3 P.4 P.7 P.8 P.9 P.11 P.19
MOST is the best! P.5 P.6 P.3 P.4 P.7 P.8 P.9 P.11 P.19 P.14 1 2 P.14 1 2 12,036 17,025 P.14 3 P.14 4 NEW P.12P.14 5 P.12P.14 6 P.12 P.15 7 NEW P.15 8 P.15 9 P.15 7 P.15 10 P.15 10 NEW P.12 P.15 11 P.15
<96D889BA904D2E696E6464>
615 379 1 1995 10 OECD 1995 380 616 57 3 1993 4 3071 2003 1 3247 10 10 4 1 1990 2000 2003 10 617 381 2002 2 3 4 5 2 1 1990 1995 1995 12 1995 IPP Independent Power Producer 1 2004a, b 2005a, b 382 618 57
A 24 B 27 C 29 D 32 E 35 F
JILPT Discussion Paper 10-03 2010 4 (a) (c) (d) (b) 1 2 3 3 5 10 16 16 17 17 17 18 21 24 A 24 B 27 C 29 D 32 E 35 F 38 42 42 42 45 46 47 49 54 54 54 55 59 61 63 2002 1) 2007 225 886 161 2) 3) 1 2005 2007
42 3 u = (37) MeV/c 2 (3.4) [1] u amu m p m n [1] m H [2] m p = (4) MeV/c 2 = (13) u m n = (4) MeV/c 2 =
![42 3 u = (37) MeV/c 2 (3.4) [1] u amu m p m n [1] m H [2] m p = (4) MeV/c 2 = (13) u m n = (4) MeV/c 2 =](/thumbs/73/68712188.jpg "42 3 u = (37) MeV/c 2 (3.4) [1] u amu m p m n [1] m H [2] m p = (4) MeV/c 2 = (13) u m n = (4) MeV/c 2 =")
3 3.1 3.1.1 kg m s J = kg m 2 s 2 MeV MeV [1] 1MeV=1 6 ev = 1.62 176 462 (63) 1 13 J (3.1) [1] 1MeV/c 2 =1.782 661 731 (7) 1 3 kg (3.2) c =1 MeV (atomic mass unit) 12 C u = 1 12 M(12 C) (3.3) 41 42 3 u
J-LEAGUE 8000 V.Kawasaki Urawa.R 5000 J-LEAGUE
The Demand for J-League with Fixed Effect Tobit Model: Effects toward Community Formation Tomonori Ito and Yoichiro Higuchi The J-League was established in 993 expecting to encourage the community to form
2004 2 µ i ν it IN(0, σ 2 ) 1 i ȳ i = β x i + µ i + ν i (2) 12 y it ȳ i = β(x it x i ) + (ν it ν i ) (3) 3 β 1 µ i µ i = ȳ i β x i (4) (least square d
2004 1 3 3.1 1 5 1 2 3.2 1 α = 0, λ t = 0 y it = βx it + µ i + ν it (1) 1 (1995)1998Fujiki and Kitamura (1995). 2004 2 µ i ν it IN(0, σ 2 ) 1 i ȳ i = β x i + µ i + ν i (2) 12 y it ȳ i = β(x it x i ) +
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
IMES DISCUSSION PAPER SERIES Discussion Paper No. 99-J- 9 -J-19 INSTITUTE FOR MONETARY AND ECONOMIC STUDIES BANK OF JAPAN
IMES DISCUSSION PAPER SERIES Discussion Paper No. 99-J- 9 -J-19 INSTITUTE FOR MONETARY AND ECONOMIC STUDIES BANK OF JAPAN 100-8630 03 IMES Discussion Paper Series 99-J- 9 -J-19 1999 6 * * [1999] *(E-mail:
JAPAN MARKETING JOURNAL 116 Vol.29 No.42010
JAPAN MARKETING JOURNAL 116 Vol.29 No.42010 JAPAN MARKETING JOURNAL 116 Vol.29 No.42010 JAPAN MARKETING JOURNAL 116 Vol.29 No.42010 JAPAN MARKETING JOURNAL 116 Vol.29 No.42010 JAPAN MARKETING JOURNAL 116
Vol. 29, No. 2, (2008) FDR Introduction of FDR and Comparisons of Multiple Testing Procedures that Control It Shin-ichi Matsuda Department of
Vol. 29, No. 2, 125 139 (2008) FDR Introduction of FDR and Comparisons of Multiple Testing Procedures that Control It Shin-ichi Matsuda Department of Information Systems and Mathematical Sciences, Faculty
18 Rental Commodity Catalog Vol
Rental Commodity Catalog Vol.517 18 Rental Commodity Catalog Vol.5 708570 00170-000749 708560 00170-000745 708550 00170-000747 708565 00170-000746 708555 00170-000748 708620 00170-000739 708610 00170-000735
() 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
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.
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
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
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
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
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
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
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
スプレッド・オプション評価公式を用いた裁定取引の可能性―電力市場のケース― 藤原 浩一,新関 三希代
403 81 1 Black and Scholes 1973 Email:kfujiwar@mail.doshisha.ac.jp 82 404 58 3 1 2 Deng, Johnson and Sogomonian 1999 Margrabe 1978 2 Deng, Johnson and Sogomonian 1999 Margrabe 1978 Black and Scholes 1973
O157 6/23 7/4 6 25 1000 117,050 6 14:00~15:30 1 2 22 22 14:30~15:30 8 12 1 5 20 6 20 10 11 30 9 10 6 1 30 6 6 0 30 6 19 0 3 27 6 20 0 50 1 2 6 4 61 1 6 5 1 2 1 2 6 19 6 4 15 6 1 6 30 6 24 30 59
税制改正にともなう家計の所得弾性値 : 高齢者パネルデータによる実証分析
Kwansei Gakuin University Rep Title Author(s) 税制改正にともなう家計の所得弾性値 : 高齢者パネルデータによる実証分析 Uemura, Toshiyuki, 上村, 敏之 ; Kitamura Takayuki, 金田, 陸幸 Citation 経済学論究, 69(4): 1-16 Issue Date 2016-3-20 URL http://hdl.handle.net/10236/14671
082_rev2_utf8.pdf
3 1. 2. 3. 4. 5. 1 3 3 3 2008 3 2008 2008 3 2008 2008, 1 5 Lo and MacKinlay (1990a) de Jong and Nijman (1997) Cohen et al. (1983) Lo and MacKinlay (1990a b) Cohen et al. (1983) de Jong and Nijman (1997)
取扱説明書
ED-601 ED-501 ED-401 2 3 4 23 14 5 6 18 10 7 1 2 6 3 4 8 9 16 16 16 12 1 2 18 10 2 1 5 12 11 1 2 1 2 12 1 2 13 16 14 3 2 4 1 1 2 16 3 4 18 15 1 2 16 2 3 1 1 2 3 18 17 18 22 19 D A C 20 A B 22 B C D 22
![.V...z.\](/thumbs/40/20575037.jpg ".V...z.\")
取引銀行の破綻が企業経営に及ぼす影響について－阪和銀行破綻の事例分析－
2 JEL Classification: G21, G14 Key words: e-mail y-murakami@aria.ocn.ne.jp 1 The Effect of Bank Failure on Client Firms A Study on the Hanwa Bank s Failure By Yoshiko Murakami Abstract The financial theories
(p.2 ( ) 1 2 ( ) Fisher, Ronald A.1932, 1971, 1973a, 1973b) treatment group controll group (error function) 2 (Legendre, Adrian
2004 1 1 1.1 Maddala(1993) Mátyás and Sevestre (1996) Hsiao(2003) Baltagi(2001) Lee(2002) Woolridge(2002a), Arellano(2003) Journal of Econometrics Econometrica Greene(2000) Maddala(2001) Johnston and Di-
untitled
N N X=[ ] R IJK R X R ABC A=[a ] R B=[b ] R C=[c ] R ABC X =[ ] R = a b c X X X X X D( ) D(X X )= log + D( ) a a b b c c b c b c a c a c a b a b R X X A a t =a b c a = t a R i i = a =. a I R = a = b =
untitled
18 1 2,000,000 2,000,000 2007 2 2 2008 3 31 (1) 6 JCOSSAR 2007pp.57-642007.6. LCC (1) (2) 2 10mm 1020 14 12 10 8 6 4 40,50,60 2 0 1998 27.5 1995 1960 40 1) 2) 3) LCC LCC LCC 1 1) Vol.42No.5pp.29-322004.5.
サービス付き高齢者向け住宅賠償責任保険.indd
1 2 1 CASE 1 1 2 CASE 2 CASE 3 CASE 4 3 CASE 5 4 3 4 5 6 2 CASE 1 CASE 2 CASE 3 7 8 3 9 10 CASE 1 CASE 2 CASE 3 CASE 4 11 12 13 14 1 1 2 FAX:03-3375-8470 2 3 3 4 4 3 15 16 FAX:03-3375-8470 1 2 0570-022808
２００７ １月号×／セミナー（扉）
Appraisal & Finance Appraisal & Finance Appraisal & Finance Appraisal & Finance Appraisal & Finance α Appraisal & Finance α Appraisal & Finance Appraisal & Finance Appraisal & Finance Appraisal & Finance