ed srv.cc.hit-u.ac.jp
|
|
|
- いちえい とべ
- 5 years ago
- Views:
Transcription
1 5 [ ] Two-Part Model contract decision frequency decision 1st Part nd Part Full Price Model Full Price Elasticity Two-Part Model
2 ed srv.cc.hit-u.ac.jp OECD Iwamoto
3 1985 (2000) (2002) (2002) a (2005) << >> Phelps and Newhouse 1974 Acton 1975 Coffey 1983 Cauley 1987 Gertler et al 1987 Puig-Junoy et al 1998 Bessho and Ohkusa Cauley 1987 time price Coffey 1983 Bessho and Ohkusa Cartwright et al (1992) Hurd and McGarry 1997 Deb and Traveri (1998) 4 Cullis et al 2000 waiting list problem
4 contact analysis frequency analysis << >> 3
5 Full Price Model Zweifel and Manning 2000 Full Price Model H C l U( H, C, l) (1) H Grossman(1972) H = H( M) (2) M U '( i) > 0 U ''( i) < 0 H'( M ) > 0 H''( M ) < 0 cpm + TC + C = Y0 + wh (3) c p M TC Y 0 w h tm + h + l = T (4) t M T Max U ( H ( M ), C, l ) st.. cpm + TC+ C= Y + wt ( l tm) 0 L( M, C, l, λ) = U ( H ( M ), C, l) + λ( Y + w( T l tm ) cpm TC C) (5) 0 4
6 L U H = ( cp wt) 0 M H M λ + = (6) L U = 0 C C λ = (7) L U = λw = 0 (8) l l L = Y 0 + w ( T l tm ) cpm TC C = 0 (9) λ M* M* = M( cp+ wt, TC, w, Y + wt) 10 0 Full Price Full Price = cp + wt + TC (11) Phelps and Newhouse(1974) (1990) (10) Full Price Elasticity ε dm M ε = d( cp+ wt+ TC) ( cp+ wt+ TC) 12 η Mc η Mc dm M dm M d( cp+ wt+ TC) ( cp+ wt+ TC) = = i dc c d( cp + wt + TC) ( cp + wt + TC) dc c cp = ε i ( cp + wt + TC) 13 η Mw η MTC 5
7 dm M wt ηmw = = εi 14 dw w ( cp + wt + TC) dm M TC ηmw = = εi 15 dtc TC ( cp + wt + TC) (10) (12) (15) 6
8 3.1. ( ) (10) M = θ + θ FullPrice + θ Ocost + θ Y + θ LInc + θ X + u (16) i 0 1 i 2 i 3 0,i 4 i 5 1, i i Pohlmeier and Ulrich Two-Part Model 5 Two-Part Model contact decision frequency decision (16) M 1st part 5 Jones 2000 Finite Mixture Model Deb and Trivedi b 7
9 6 2nd Part FullPrice* M (11) * * * * FullPrice = cp + wt +TC (17) cp* w 7 t* TC* 8 Ocost Y 0 LInc X u i
10 3.3 Cauley 1987 marginal value of time Heckman Heckman Regression Equation HLInc =γ +γ Female +γ Age +γ Educ + γ Disease + i 0 1 i 2 i 3 i 4, j i, j j= i Selection Equation Work v if Linc is observed i = δz i + 2, i > 0 i γ Disease * Acute + γ Pref +γ L +γ Mills + v 5, k i, k i, k 6, l i, l 7 8 i 1, i k= 1 l= 1 v1 N(0, σ) v 2 N(0,1) corr( v 1, v 2 ) = ρ (17) HLInc Female Age Educ Disease 12 Acute Pref L 1 Mills Work Z 13 v 1 v
11 << >> << >>
12 4.1 Two-Part Model (15) 3 Unbalanced Panel Data Random Effect 1st part 1 M Count Data 1 st, ij (15) Random Effect Negative Binomial Regression Model RENB M µ Poisson( µ ) ij ij ij µ π gamma( ω, 1/ π ) ij i i ωij = α0 + α1fullpriceij + α2ocosti + α3y0, i + α4linci + α5x1,i + u1, ij exp[ ] 1(1 + π i ) Beta( r, s) (18) u 1 2nd Part M (15) Random Effect Generalized Least Squares REGLS 2 nd, ij M = β + β FullPrice + β Ocost + β Y + β LInc + β X + u (19) u = e + ε 2 nd, ij 0 1 ij 2 i 3 0, i 4 i 5 1,i 2, ij 2,ij i it u 2 e ε 5 << 5 >> st part 2nd Part Model Full Price Model 11
13 15 << 6 >> 1st Part LR test RENB Model Full Price Model Model 2nd Part Model Full Price 1st part Model Model Model 15 2nd Part Model
14 << >> 12 1st Part nd Part Newhouse et al st Part nd Part st Part nd Part st Part nd Part
15 contract decision frequency decision 1st Part nd Part st Part nd Part st Part nd Part
16 15
17 References Vol ( ) Vol.10, No.2, , Vol.4, No.1, Vol.38 No a count data Vol.40 No b Finite Mixture Model Vol.14, No Vol.38 No DP1044 Acton, J.P. (1975) "Nonmonetary factors in the demand for medical services: some empirical evidence", Journal of Political Economy, Vol.83, No.3, pp Bessho, S. and Y. Ohkusa 2003 "What are the determinants of hospital choice time, costs, option demands and communication", mimeo. Cartwright, W.S., Hu, T-W., and Huang, L-F. (1992) "Impact of varying medigap insurance coverage on the use of medical services of the elderly", Applied Economics, vol.24, No., pp
18 Cauley, S.D. (1987) "The time price of medical care", Review of Economics and Statistics, Vol.69, No.1, pp Coffey, R.M. (1983) "The effect of time price on the demand for medical-care services", Journal of Human Resources, Vol.18, No.3, pp Cullis, J.G., P.R. Jones, and C.Propper (2000) "Waiting lists and medical treatment: analysis and policies", in A.J. Culyer and J.P. Newhouse eds., Handbook of Health Economics, Vol.1B, pp Deb, P. and P.K., Trivedi 1997 "Demand for medical care by the elderly: a finite mixture approach", Journal of Applied Econometrics, Vol.12, No.3, pp Deb, P. and P.K., Trivedi (2002) "The structure of demand for health care: latent class versus two-part model", Journal of Health Economics, Vol.21, pp Gertler, P., L.Locay, and W.Sanderson (1987) "Are user fees regressive? the welfare implications of health care financing proposals in Peru", Journal of Econometrics, Vol.36, No.1-2, pp Greene, W.H. (2003) Econometric Analysis, 5th edition, Prentice Hall. Grossman, M. (1972) "On the Concept of Health Capital and the Demand for Health", Journal of Political Economy, Vol.80, No.2, pp Heckman, J.J. (1974) "Shadow prices, market wages, and labor supply", Econometrica, Vol.42, pp Heckman, J.J. (1979) "Sample selection bais as a specification error", Econometrica, Vol.47, pp Hurd, M.D. and K.McGarry (1997) "Medical insurance and the use of health care services by the elderly", Journal of Health Economics, Vol.16, pp Iwamoto, Y. (2004) "Issues in Japanese health policy and medical expenditure", in T.Tachibanaki eds., The Economics of Social Security in Japan, pp Jones, A.M. (2000) "Health econometrics", in A.J. Culyer and J.P. Newhouse eds., Handbook of Health Economics, Vol.1A, pp Long, J.S. and Freese, J. (2003) Regression Models for Categorical Dependent Variables Using Stata, Revised edition, Stata Press. Newhouse, J.P. and the Insurance Experiment Group (1993) Free for all? Lessons from the RAND Health Insurance Experiment, Harvard University Press. Phelps, C.E. and J.P. Newhouse (1974) "Coinsurance, the price of time, and the demand for medical services", Review of Economics and Statistics, vol.56, No.3, pp Pohlmeier, W. and V. Ulrich (1995) "An econometric model of the two-part decisionmaking process in the demand for health care", Journal of Human Resources, Vol.30, No.2, pp Puig-Junoy, J., M.Saez, and E.Martines-Garcia (1998) "Why do patients prefer hospital emergency 17
19 visits? a nested multinominal logit analysis for patient-initiated contracts", Health Care Management Science, Vol.1, No.1, pp Winkelmann, R. (2003) Econometric Analysis of Count Data, 4th edition, Springer. Wooldridge, J. M. (2002) Econometric Analysis Cross Section and Panel Data, MIT Press. Zweifel, P. and Manning, W.G. (2000) Moral hazard and consumer incentives in health care, in A.J. Culyer and J.P. Newhouse eds., Handbook of Health Economics, Vol.1A, pp
20 Linear (OLS) (2) (2000) 1 Linear (RE) Linear (RE), OLS (2002) Two-Part Model (2nd) GLS (2002) Linear (FE) (3) Two-Part Model (1st) Probit Model (RE) ** Two-Part Model (2nd) Median Reression *** Two-Part Model (2nd) Median Reression *** Two-Part Model (2nd) Median Reression *** Two-Part Model (2nd) Median Reression *** 2004a Finite Mixture Negative Binomial Finite Mixture Negative Binomial Two-Part Model (1st) Probit Model Two-Part Model (2nd) Negative Binomial (2005) Two-Part Model (1st) Negative Binomial (RE) Two-Part Model (2nd) GLS (RE) (1) RE=Random Effect Model FE=Fixed Effect Model (2) (3) (4) (5) *** 19
21 2 Phelps and Newhouse (1974) OLS Time Price Acton (1975) Simultaneous Equations system 0.14*** 0.029*** using 2sls 0.23*** Coffey (1983) Logit Model time price *** ( ) 0.23*** 0.20** Logit Model time Price ** time Price *** 0.04 Tobit Model time Price time Price time Price *** 0.05 Cauley (1987) Poisson Regression *** *** Gertler et al (1987) Multinominal Logit model ( ) (##)-2.05*** Puig-Junoy et al (1998) Nested Multinominal Logit model ( ) Emergency 0.618**, GP:0.397** Specialist: 0.288** ( ) Emergency 0.066, GP:0.394** Specialist: 0.537** Bessho and Ohkusa (2004) Logit model ( ) (#) *** *** (#) *** *** ( ) (#) *** *** (#) *** *** ( ) (#) 0.010*** *** (#) *** *** ( ) (#) (2) *** (3) Time Price= 20
22 (1) ( ( ( ( ( ( ( ( ( ( ( (
23 *** ** *** ** * ** ** ** *** * * * ** * *** ( ( ( ( ** ( ( ( *** ( *** ( ( ( *** ( (3) ** *** Censored observations Uncensored observations ρ Wald test (zero slope) chi2(121) = *** (1) Heckman 2 (2) *** ** 5 * 10 22
24 (1) 5 ( ) First Part Second Part Number of observations Number of individuals
25 6 First Part Second Part Model 1 (RENB) Model 2 (REGLS) Model 1 (RENB) Model 2 (REGLS) Full Price *** *** *** ** *** ** *** *** ** ** ** *** *** * ** *** *** *** * * ** ** ** * ** * * *** *** *** *** * * r s σe σε Log Likelihood R-Squared (overall) Wald test(zero slope) chi2(74) = *** chi2(77) = *** chi2(74) = *** chi2(76) = *** LR test (Ho: Poisson Model) chibar2(01) = *** chibar2(01) = *** LR test (Ho: pooled regression) chibar2(01) = 92.05*** chibar2(01) = 94.64*** (1) *** ** 5 * 0 (2) (1) 1st part 2nd Part Full Price ε η Mc η Mw η MTC (2) 24
26 First Part Second Part Model 1 (RENB) Model 2 (REGLS) Model 1 (RENB) Model 2 (REGLS) Full Price *** *** *** ** * ** ** *** ** * ** ** *** *** * ** *** * * *** *** ** ** * * r s σe σε Log Likelihood R-Squared (overall) Wald test(zero slope) chi2(64) = *** chi2(67) = *** chi2(64) = *** chi2(66) = LR test (Ho: Poisson Model) chibar2(01) = *** chibar2(01) = *** LR test (Ho: pooled regression) chibar2(01) = 95.92*** chibar2(01) = 99.65*** (1) *** ** 5 * 0 (2) (1) 1st part 2nd Part Full Price ε η Mc η Mw η MTC (2) 25
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
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
2 Tobin (1958) 2 limited dependent variables: LDV 2 corner solution 2 truncated censored x top coding censor from above censor from below 2 Heck
10 2 1 2007 4 6 25-44 57% 2017 71% 2 Heckit 6 1 2 Tobin (1958) 2 limited dependent variables: LDV 2 corner solution 2 truncated 50 50 censored x top coding censor from above censor from below 2 Heckit
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
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
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
28
y i = Z i δ i +ε i ε i δ X y i = X Z i δ i + X ε i [ ] 1 δ ˆ i = Z i X( X X) 1 X Z i [ ] 1 σ ˆ 2 Z i X( X X) 1 X Z i Z i X( X X) 1 X y i σ ˆ 2 ˆ σ 2 = [ ] y i Z ˆ [ i δ i ] 1 y N p i Z i δ ˆ i i RSTAT
2 1,2, , 2 ( ) (1) (2) (3) (4) Cameron and Trivedi(1998) , (1987) (1982) Agresti(2003)
3 1 1 1 2 1 2 1,2,3 1 0 50 3000, 2 ( ) 1 3 1 0 4 3 (1) (2) (3) (4) 1 1 1 2 3 Cameron and Trivedi(1998) 4 1974, (1987) (1982) Agresti(2003) 3 (1)-(4) AAA, AA+,A (1) (2) (3) (4) (5) (1)-(5) 1 2 5 3 5 (DI)
Autumn II III Zon and Muysken 2005 Zon and Muysken 2005 IV II 障害者への所得移転の経済効果 分析に用いるデータ
212 Vol. 44 No. 2 I はじめに 2008 1 2 Autumn 08 213 II III Zon and Muysken 2005 Zon and Muysken 2005 IV II 障害者への所得移転の経済効果 17 18 1 分析に用いるデータ 1 2005 10 12 200 2 2006 9 12 1 1 2 129 35 113 3 1 2 6 1 2 3 4 4 1
Becker 1965 Gronau a a a
1 1 1 1 1 3.3 6 0.43 0.45 2 2002 Becker1965 Gronau1977 1 a 3.3 3.6 6.0 4.9 4.8 3.6 a 7.4 8.4 8.1 7.6 7.5 6.5 0.45 0.43 0.74 0.64 0.64 0.55 1995 a Vol. 42 No. 2 II III IV V VI VII 1 1998Nishioka 199820022002
COE-RES Discussion Paper Series Center of Excellence Project The Normative Evaluation and Social Choice of Contemporary Economic Systems Graduate Scho
COE-RES Discussion Paper Series Center of Excellence Project The Normative Evaluation and Social Choice of Contemporary Economic Systems Graduate School of Economics and Institute of Economic Research
untitled
2 book conference 1990 2003 14 Repeated Cross-Section Data 1 M1,M2 M1 Sekine(1998) Repeated Cross-Section Data 1 1. (1989), Yoshida and Rasche(1990), Rasche(1990), 19921997, Fujiki and Mulligan(1996),
LA-VAR Toda- Yamamoto(1995) VAR (Lag Augmented vector autoregressive model LA-VAR ) 2 2 Nordhaus(1975) 3 1 (D2)
LA-VAR 1 1 1973 4 2000 4 Toda- Yamamoto(1995) VAR (Lag Augmented vector autoregressive model LA-VAR ) 2 2 Nordhaus(1975) 3 1 (D2) E-mail b1215@yamaguchi-u.ac.jp 2 Toda, Hiro Y. and Yamamoto,T.(1995) 3
遺産相続、学歴及び退職金の決定要因に関する実証分析 『家族関係、就労、退職金及び教育・資産の世代間移転に関する世帯アンケート調査』
2-1. (2-1 ) (2-2 ) (2-3 ) (Hayashi [1986]Dekle [1989]Barthold and Ito [1992] [1996]Campbell [1997] [1998]Shimono and Ishikawa [2002]Shimono and Otsuki [2006] [2008]Horioka [2009]) 1 2-1-1 2-1-1-1 8 (1.
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)
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.
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
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
Attendance Demand for J-League õ Shinsuke KAWAI* and Takeo HIRATA* Abstract The purpose of this study was to clarify the variables determining the attendance in J-league matches, using the 2,699 J-league
DP
KEIO UNIVERSITY MARKET QUALITY RESEARCH PROJECT (A 21 st Century Center of Excellence Project) DP2004-13 * ** * ** Graduate School of Economics and Graduate School of Business and Commerce, Keio University
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
日本の高齢者世帯の貯蓄行動に関する実証分析
196 2017 * ** ** 1 2 3 JEL Classification Codes D14, D15, E21 Keywords * 28 Hyun- Hoon Lee Robert Owen Kwanho Shin ** 29 196 An Empirical Analysis of the Saving Behavior of Elderly Households in Japan
80 X 1, X 2,, X n ( λ ) λ P(X = x) = f (x; λ) = λx e λ, x = 0, 1, 2, x! l(λ) = n f (x i ; λ) = i=1 i=1 n λ x i e λ i=1 x i! = λ n i=1 x i e nλ n i=1 x
80 X 1, X 2,, X n ( λ ) λ P(X = x) = f (x; λ) = λx e λ, x = 0, 1, 2, x! l(λ) = n f (x i ; λ) = n λ x i e λ x i! = λ n x i e nλ n x i! n n log l(λ) = log(λ) x i nλ log( x i!) log l(λ) λ = 1 λ n x i n =
9 1 (1) (2) (3) (4) (5) (1)-(5) (i) (i + 1) 4 (1) (2) (3) (4) (5) (1)-(2) (1)-(5) (5) 1
9 1 (1) (2) (3) (4) (5) (1)-(5) (i) (i + 1) 4 (1) (2) (3) (4) (5) (1)-(2) (1)-(5) (5) 1 2 2 y i = 1, 2, 3,...J (1 < 2 < 3
4703ALL01
473201010 *** (1999) 16 2017 20023 2 1 2 1220 (1999a),(1999b) (1998), (2002) (2003)(1999)(2003) Conjoint Analysis Conjoint Analysis Willingness to PayStandard gamble Time trade-off Rating Scale Willingness
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
「スウェーデン企業におけるワーク・ライフ・バランス調査 」報告書
1 2004 12 2005 4 5 100 25 3 1 76 2 Demoskop 2 2004 11 24 30 7 2 10 1 2005 1 31 2 4 5 2 3-1-1 3-1-1 Micromediabanken 2005 1 507 1000 55.0 2 77 50 50 /CEO 36.3 37.4 18.1 3-2-1 43.0 34.4 / 17.6 3-2-2 78 79.4
Law and Economics Review vol.4,no.1(february 2009) 1998
Law and Economics Review vol.4,no.1(february 2009) 1998 1 500 No.93 1999114 2 195072119885021 19901991 3 Foreign Investment and National Security Act of 200720071024effective 1986 CFIUS2008831CFIUS web
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]
2 2 2 (Poisson Distribution) P (y = j) = e λ λ j λ > 0, j = 0, 1, 2... j! j! j E(y) = V ar(y) = λ λ y x λ = λ(x iβ) f(y i x iβ) = exp( exp(x i β)) exp
11 1 1 Cameron and Trivedi (1998,2005) Winkelmann(1997) 1 Bortkiewicz(1898) 1 2 2 2 (Poisson Distribution) P (y = j) = e λ λ j λ > 0, j = 0, 1, 2... j! j! j E(y) = V ar(y) = λ λ y x λ = λ(x iβ) f(y i x
46−ª3�=4�“ƒ‚S“·‚Ö‡¦
463420101 1. 1989, Yoshida and Rasche1990, Rasche1990, 19921997, Fujiki and Mulligan1996, 1996, Sekine1998, 2001, Fujiki2002, 2003, 2004 Bahmani-Oskooee and Shabsigh1996, Amano and Wirjanto2000, Bahmani-Oskooee
.. est table TwoSLS1 TwoSLS2 GMM het,b(%9.5f) se Variable TwoSLS1 TwoSLS2 GMM_het hi_empunion totchr
3,. Cameron and Trivedi (2010) Microeconometrics Using Stata, Revised Edition, Stata Press 6 Linear instrumentalvariables regression 9 Linear panel-data models: Extensions.. GMM xtabond., GMM(Generalized
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 3 2 4 r t = 3 4 2 Benefit view dp
( ) 62 1 1 47 2 3 47 2 e-mail:miyazaki@ngu.ac.jp 1 2000 2005 1 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 3 2 4 r t = 3 4 2 Benefit
p *2 DSGEDynamic Stochastic General Equilibrium New Keynesian *2 2
2013 1 nabe@ier.hit-u.ac.jp 2013 4 11 Jorgenson Tobin q : Hayashi s Theorem : Jordan : 1 investment 1 2 3 4 5 6 7 8 *1 *1 93SNA 1 p.180 1936 100 1970 *2 DSGEDynamic Stochastic General Equilibrium New Keynesian
untitled
Barro Regression Does social capital improve regional economic growth? - Investigation using prefectural cross-sectional data in Japan - Abstract The purpose of this research is to empirically examine
JFE.dvi
,, Department of Civil Engineering, Chuo University Kasuga 1-13-27, Bunkyo-ku, Tokyo 112 8551, JAPAN E-mail : atsu1005@kc.chuo-u.ac.jp E-mail : kawa@civil.chuo-u.ac.jp SATO KOGYO CO., LTD. 12-20, Nihonbashi-Honcho
y i OLS [0, 1] OLS x i = (1, x 1,i,, x k,i ) β = (β 0, β 1,, β k ) G ( x i β) 1 G i 1 π i π i P {y i = 1 x i } = G (
![y i OLS [0, 1] OLS x i = (1, x 1,i,, x k,i ) β = (β 0, β 1,, β k ) G ( x i β) 1 G i 1 π i π i P {y i = 1 x i } = G (](/thumbs/82/85163103.jpg "y i OLS [0, 1] OLS x i = (1, x 1,i,, x k,i ) β = (β 0, β 1,, β k ) G ( x i β) 1 G i 1 π i π i P {y i = 1 x i } = G (")
7 2 2008 7 10 1 2 2 1.1 2............................................. 2 1.2 2.......................................... 2 1.3 2........................................ 3 1.4................................................
文部科学省科学研究費補助金特定領域研究B
B 1 Micro Data Analysis on the Typical Diseases 2 2001 3 ( ) By Hippocrates,,, pp. 1017-1018. 1. 1 B ( ) Dr. Theodore Hitiris (The University of York) ( ) ( ) ( ) ( ) ( ) ( ) ( ) 2 Correspondence to: e-mail;
(1) (2) 27 7 15 (1) (2), E-mail: bessho@econ.keio.ac.jp 1 2 1.1......................................... 2 1.2............................... 2 1.3............................... 3 1.4............................
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 (
seminar0220a.dvi
1 Hi-Stat 2 16 2 20 16:30-18:00 2 2 217 1 COE 4 COE RA E-MAIL: ged0104@srv.cc.hit-u.ac.jp 2004 2 25 S-PLUS S-PLUS S-PLUS S-code 2 [8] [8] [8] 1 2 ARFIMA(p, d, q) FI(d) φ(l)(1 L) d x t = θ(l)ε t ({ε t }
1 CAPM: I-,,, I- ( ) 1 I- I- I- ( CAPM) I- CAPM I- 1 I- Jensen Fama-French 3 I- Fama-French 3 I- Fama-MacBeth I- SMB-FL, HML-FL Fama-MacBeth 1 Fama-Fr
1 CAPM: I-,,, I- ( ) 1 I- I- I- ( CAPM) I- CAPM I- 1 I- Jensen Fama-French 3 I- Fama-French 3 I- Fama-MacBeth I- SMB-FL, HML-FL Fama-MacBeth 1 Fama-French (FF) 3 [5] (Capital Asset Pricing Model; CAPM
Title 最適年金の理論 Author(s) 藤井, 隆雄 ; 林, 史明 ; 入谷, 純 ; 小黒, 一正 Citation Issue Date Type Technical Report Text Version publisher URL
Title 最適年金の理論 Author(s) 藤井, 隆雄 ; 林, 史明 ; 入谷, 純 ; 小黒, 一正 Citation Issue 2012-06 Date Type Technical Report Text Version publisher URL http://hdl.handle.net/10086/23085 Right Hitotsubashi University Repository
日本の教育経済学：実証分析の展望と課題.pdf
ESRI Discussion Paper Series No69 by October 2003 Economic and Social Research Institute Cabinet Office Tokyo, Japan 2 3 1 2 3 4 5 6 6 4 1 2 3 4 * 2003 8 7 B603 4 1 Schultz 1963 Becker 1964 human capital
【表紙】経済学論叢＿１８号／表１・３・背
Blanchard Solow Solow Galor and Tsiddon ,, , ,, ,,,,,, a if b c if if CES CES,,,,,,. Bowles Ciccone and Peri, .,, Bowles Hamermesh Antras Ciccone and Peri CES CES Krusell et al. Duffy et al. Hornstein
ボーナス制度と家計貯蓄率－サーベイ・データによる再検証－
ESRI Discussion Paper Series No.139 by May 2005 Economic and Social Research Instute Cabinet Office Tokyo, Japan * 400 : JEL classification: D12, E21 * 186-8603 2-1 042-580-8369 FAX 042-580-8333 1 Abstract
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
A5 PDF.pwd
Average Treatment Effect; ATE attributes Randomized Factorial Survey Experiment; RFSE cues ATE ATE Hainmueller et al. 2014 Average Marginal Component Effect ATE 67 4 2017 2 845 , ;, ATE, ;, ;, W 846 67
オーストラリア研究紀要 ３６号（Ｐ）☆／３．橋本
36 p.9 202010 Tourism Demand and the per capita GDP : Evidence from Australia Keiji Hashimoto Otemon Gakuin University Abstract Using Australian quarterly data1981: 2 2009: 4some time-series econometrics
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):
? * Bernheim(1991) Annuity Offset Model Keyword 6-1 Tel: Fax: *
Discussion Paper No. 518 2000 10 ? * Bernheim(1991) Annuity Offset Model Keyword 6-1 Tel: 06-6879-8581 Fax:06-6878-2766 E-mail: suzuki@iser.osaka-u.ac.jp * 1999 12 1 1997 1996 2000 E 1992 86 68% 1997 1
カルマンフィルターによるベータ推定（ ）
β TOPIX 1 22 β β smoothness priors (the Capital Asset Pricing Model, CAPM) CAPM 1 β β β β smoothness priors :,,. E-mail: koiti@ism.ac.jp., 104 1 TOPIX β Z i = β i Z m + α i (1) Z i Z m α i α i β i (the
2) 3) 2) Ohkusa, 1996 ; 1999 ; Ohtake and Ohkusa, 1994 ; La Croix and A. Kawamura, Reject American Economic Review, Journal of Political Econom
1) IOC Major League Baseball s MLB Blue Ribbon Panel Levin et al. 1) Yamamura and Shin, 2005 a ; 2005 b ; 2005 c communication 2) 3) 2) Ohkusa, 1996 ; 1999 ; Ohtake and Ohkusa, 1994 ; La Croix and A. Kawamura,
雇用と年金の接続 在職老齢年金の就業抑制効果と老齢厚生年金受給資格者の基礎年金繰上げ受給要因に関する分析 The Labour Market Behaviour of Older People: Analysing the Impact of the Reformed "Earning Test"
Powered by TCPDF (www.tcpdf.org) Title 雇用と年金の接続 : 在職老齢年金の就業抑制効果と老齢厚生年金受給資格者の基礎年金繰上げ受給要因に関する分析 Sub Title The labour market behaviour of older people: analysing the impact of the reformed "Earning test"
untitled
Horioka Nakagawa and Oshima u ( c ) t+ 1 E β (1 + r ) 1 = t i+ 1 u ( c ) t 0 β c t y t uc ( t ) E () t r t c E β t ct γ ( + r ) 1 0 t+ 1 1 = t+ 1 ξ ct + β ct γ c t + 1 1+ r ) E β t + 1 t ct (1
dvi
2017 65 2 185 200 2017 1 2 2016 12 28 2017 5 17 5 24 PITCHf/x PITCHf/x PITCHf/x MLB 2014 PITCHf/x 1. 1 223 8522 3 14 1 2 223 8522 3 14 1 186 65 2 2017 PITCHf/x 1.1 PITCHf/x PITCHf/x SPORTVISION MLB 30
Kobe University Repository : Kernel タイトル Title 著者 Author(s) 掲載誌 巻号 ページ Citation 刊行日 Issue date 資源タイプ Resource Type 版区分 Resource Version 権利 Rights DOI ごみ有料化は自治体の財政負担をどれだけ軽減するのか?(Does Unitbased Pricing of
橡DP9802.PDF
21 Japan s Labor Force in the Year 2020 2020 2020 600 30 60 65 30 21 20 20 2020 2020 (1) 1 (2) (3) 1 1992 9 2025 2025 1997 1 2050 10 2050-1 - consensus estimate 21 (1995) (1997) (estimation) calibration
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)
60 Vol. 44 No. 1 2 準市場 化の制度的枠組み: 英国 教育改革法 1988 の例 Education Reform Act a School Performance Tables LEA 4 LEA LEA 3
Summer 08 59 I はじめに quasi market II III IV V 1 II 教育サービスにおける 準市場 1 教育サービスにおける 準市場 の意義 Education Reform Act 1988 1980 Local Education Authorities LEA Le Grand 1991 Glennerster 1991 3 1 2 3 2 60 Vol. 44
I- Fama-French 3, Idiosyncratic (I- ) I- ( ) 1 I- I- I- 1 I- I- Jensen Fama-French 3 SMB-FL, HML-FL I- Fama-French 3 I- Fama-MacBeth Fama-MacBeth I- S
I- Fama-French 3, Idiosyncratic (I- ) I- ( ) 1 I- I- I- 1 I- I- Jensen Fama-French 3 SMB-FL, HML-FL I- Fama-French 3 I- Fama-MacBeth Fama-MacBeth I- SMB-FL, HML-FL Fama-MacBeth 2, 3, 5 I- HML-FL 1 Fama-French
,, Poisson 3 3. t t y,, y n Nµ, σ 2 y i µ + ɛ i ɛ i N0, σ 2 E[y i ] µ * i y i x i y i α + βx i + ɛ i ɛ i N0, σ 2, α, β *3 y i E[y i ] α + βx i
![,, Poisson 3 3. t t y,, y n Nµ, σ 2 y i µ + ɛ i ɛ i N0, σ 2 E[y i ] µ * i y i x i y i α + βx i + ɛ i ɛ i N0, σ 2, α, β *3 y i E[y i ] α + βx i](/thumbs/87/95421301.jpg ",, Poisson 3 3. t t y,, y n Nµ, σ 2 y i µ + ɛ i ɛ i N0, σ 2 E[y i ] µ * i y i x i y i α + βx i + ɛ i ɛ i N0, σ 2, α, β *3 y i E[y i ] α + βx i")
Armitage.? SAS.2 µ, µ 2, µ 3 a, a 2, a 3 a µ + a 2 µ 2 + a 3 µ 3 µ, µ 2, µ 3 µ, µ 2, µ 3 log a, a 2, a 3 a µ + a 2 µ 2 + a 3 µ 3 µ, µ 2, µ 3 * 2 2. y t y y y Poisson y * ,, Poisson 3 3. t t y,, y n Nµ,
( 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
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
No.9 3 4 4 5 6 9 9 13 15 15 17 21 23 27 31 2 1990 95 3 1 1 65 1 50 50 1 (2000) 4 1989 2 20% 26% 90 1 2 89 12 5 95 3 94 96 98 99 5 4 50 4 1 3 5 700 1,200 40 1,000 2 87 70% 15 60% 12 89 50% 5 3 95 1 4 90
第13回：交差項を含む回帰・弾力性の推定
13 2018 7 27 1 / 31 1. 2. 2 / 31 y i = β 0 + β X x i + β Z z i + β XZ x i z i + u i, E(u i x i, z i ) = 0, E(u i u j x i, z i ) = 0 (i j), V(u i x i, z i ) = σ 2, i = 1, 2,, n x i z i 1 3 / 31 y i = β
1990年代以降の日本の経済変動
1990 * kenichi.sakura@boj.or.jp ** hitoshi.sasaki@boj.or.jp *** masahiro.higo@boj.or.jp No.05-J-10 2005 12 103-8660 30 * ** *** 1990 2005 12 1990 1990 1990 2005 11 2425 BIS E-mail: kenichi.sakura@boj.or.jp
Winter 図 1 図 OECD OECD OECD OECD 2003
266 Vol. 44 No. 3 I 序論 Mirrlees 1971 Diamond 1998 Saez 2002 Kaplow 2008 1 700 900 1, 300 1, 700 II III IV V II わが国の再分配の状況と国際比較 OECD Forster and Mira d Ercole 2005 2006 2001 Winter 08 267 図 1 図 2 2000 2
!!! 2!
2016/5/17 (Tue) SPSS (mugiyama@l.u-tokyo.ac.jp)! !!! 2! 3! 4! !!! 5! (Population)! (Sample) 6! case, observation, individual! variable!!! 1 1 4 2 5 2 1 5 3 4 3 2 3 3 1 4 2 1 4 8 7! (1) (2) (3) (4) categorical
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
ミクロ・データによる家計行動分析： 将来不安と予備的貯蓄
subjective measures E-mailkeiko.murata@mfs.cao.go.jp subjective subjective measures Dardanoni Leland waiting option Browning and LusardiEngen and Gruber Carroll and Samwick PSIDPanel Study of Income Dynamics
AR(1) y t = φy t 1 + ɛ t, ɛ t N(0, σ 2 ) 1. Mean of y t given y t 1, y t 2, E(y t y t 1, y t 2, ) = φy t 1 2. Variance of y t given y t 1, y t
87 6.1 AR(1) y t = φy t 1 + ɛ t, ɛ t N(0, σ 2 ) 1. Mean of y t given y t 1, y t 2, E(y t y t 1, y t 2, ) = φy t 1 2. Variance of y t given y t 1, y t 2, V(y t y t 1, y t 2, ) = σ 2 3. Thus, y t y t 1,
Auerbach and Kotlikoff(1987) (1987) (1988) 4 (2004) 5 Diamond(1965) Auerbach and Kotlikoff(1987) 1 ( ) ,
,, 2010 8 24 2010 9 14 A B C A (B Negishi(1960) (C) ( 22 3 27 ) E-mail:fujii@econ.kobe-u.ac.jp E-mail:082e527e@stu.kobe-u.ac.jp E-mail:iritani@econ.kobe-u.ac.jp 1 1 1 2 3 Auerbach and Kotlikoff(1987) (1987)
(1) (Karlan, 2004) (1) (1973) (1978) (1991) (1991) 1
2004 1 8 2005 12 17 1 (1) (Karlan, 2004) 2 3 4 5 E-mail: aa37065@mail.ecc.u-tokyo.ac.jp (1) (1973) (1978) (1991) (1991) 1 2 2 2.1 (, 1978, 7 ) (2) (1988) 38 2 (3) (4) (2) (1986) 91 (1996) 2 1 (1993) 1
03.Œk’ì
HRS KG NG-HRS NG-KG AIC Fama 1965 Mandelbrot Blattberg Gonedes t t Kariya, et. al. Nagahara ARCH EngleGARCH Bollerslev EGARCH Nelson GARCH Heynen, et. al. r n r n =σ n w n logσ n =α +βlogσ n 1 + v n w
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.
1 Tokyo Daily Rainfall (mm) Days (mm)
( ) r-taka@maritime.kobe-u.ac.jp 1 Tokyo Daily Rainfall (mm) 0 100 200 300 0 10000 20000 30000 40000 50000 Days (mm) 1876 1 1 2013 12 31 Tokyo, 1876 Daily Rainfall (mm) 0 50 100 150 0 100 200 300 Tokyo,
(2004 ) 2 (A) (B) (C) 3 (1987) (1988) Shimono and Tachibanaki(1985) (2008) , % 2 (1999) (2005) 3 (2005) (2006) (2008)
,, 23 4 30 (i) (ii) (i) (ii) Negishi (1960) 2010 (2010) ( ) ( ) (2010) E-mail:fujii@econ.kobe-u.ac.jp E-mail:082e527e@stu.kobe-u.ac.jp E-mail:iritani@econ.kobe-u.ac.jp 1 1 16 (2004 ) 2 (A) (B) (C) 3 (1987)
1 Stata SEM LightStone 4 SEM 4.. Alan C. Acock, Discovering Structural Equation Modeling Using Stata, Revised Edition, Stata Press 3.
1 Stata SEM LightStone 4 SEM 4.. Alan C. Acock, 2013. Discovering Structural Equation Modeling Using Stata, Revised Edition, Stata Press 3. 2 4, 2. 1 2 2 Depress Conservative. 3., 3,. SES66 Alien67 Alien71,
untitled
2 21 1984 50 3500 4200 1 3 1 1985 1984 1 2 1984 50 3 2 3 4 1 1989 35 3 4 5 22 3 1 19811984 19841987 1989 1981 1985 13 1984 1984 1986 1985 20 10 1987 10 2 36 1989 65 1989 1953 1985 60 1933 6.71% 43 3.15%53
わが国のレポ市場について―理論的整理と実証分析―
GCGC SC GCSC SC SC E-mail: yasunari.inamura@boj.or.jp E-mail: naohiko.baba@boj.or.jp GC general collateralscspecial collateral Griffiths and Winters GCFF Jordan and JordanDuffie matched book GC GC SC DuffieKrishnamurthy
kubostat7f p GLM! logistic regression as usual? N? GLM GLM doesn t work! GLM!! probabilit distribution binomial distribution : : β + β x i link functi
kubostat7f p statistaical models appeared in the class 7 (f) kubo@eeshokudaiacjp https://googl/z9cjy 7 : 7 : The development of linear models Hierarchical Baesian Model Be more flexible Generalized Linear
2 / 24
2017 11 9 1 / 24 2 / 24 Solow, 1957 total factor productivity; TFP 5% 経済成長率の要因分解 4% 3% 2.68% 2.51% 2% 1% 0% 1.63% 1.50% 0.34% 0.42% 0.55% 0.97% 1.14% 0.86% 0.13% -0.59% -0.59% -0.09% 0.01% -1% 1970-80
1: 合計特殊出生率 出生率の推移 暦年 アメリカドイツフランス スウェーデン日本 Apps and Re
1 1 Galor and Weil (1996) (Sleebos, 2003) 2-1, E-mail: koba@econ.kobe-u.ac.jp 1 1: 合計特殊出生率 2.20 2.00 1.80 1.60 1.40 1.20 1.00 出生率の推移 1985 1987 1989 1991 1993 1995 暦年 アメリカドイツフランス スウェーデン日本 1997 1999 2001
わが国企業による株主還元策の決定要因：配当・自社株消却のインセンティブを巡る実証分析
* youichi.ueno@boj.or.jp ** naohiko.baba@boj.or.jp No.05-J-6 2005 4 103-8660 30 No.05-J-6 2005 4 * ** 1990 1 2 1990 * E-mailyouichi.ueno@boj.or.jp ** E-mailnaohiko.baba@boj.or.jp 1 1990 1 1990 1 [2004]
第3章.DOC
000 Ben-Akiva and Lerman, 1985 1996 1996 4 1997 Banister, 1978; Verplanken et al., 1998 1 5 1996 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)
,398 4% 017,
6 3 JEL Classification: D4; K39; L86,,., JSPS 34304, 47301.. 1 01301 79 1 7,398 4% 017,390 01 013 1 1 01 011 514 8 1 Novos and Waldman (1984) Johnson (1985) Chen and Png (003) Arai (011) 3 1 4 3 4 5 0
448 Vol. 44 No 図
Spring 09 447 概要 2004 1 2 I はじめに 19 2007 1. 34 2006 1. 32 90 1 90 Galor and Weil 1996 1996 1999 90 Sleebos 2003 Apps and Rees 2004 Martínez and Iza 2004 448 Vol. 44 No. 4 2. 20 2. 00 1. 80 1. 60 1. 40
x T = (x 1,, x M ) x T x M K C 1,, C K 22 x w y 1: 2 2
Takio Kurita Neurosceince Research Institute, National Institute of Advanced Indastrial Science and Technology takio-kurita@aistgojp (Support Vector Machine, SVM) 1 (Support Vector Machine, SVM) ( ) 2
「リストラ中高年」の行方
ESRI Discussion Paper Series No.10 by February 2002 Economic and Social Research Institute Cabinet Office Tokyo, Japan 1 ESRI 2 ABSTRACT * In this paper, based on the Employment Trend Survey in 2000 and
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
<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
医系の統計入門第 2 版 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. このサンプルページの内容は, 第 2 版 1 刷発行時のものです.
医系の統計入門第 2 版 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. http://www.morikita.co.jp/books/mid/009192 このサンプルページの内容は, 第 2 版 1 刷発行時のものです. i 2 t 1. 2. 3 2 3. 6 4. 7 5. n 2 ν 6. 2 7. 2003 ii 2 2013 10 iii 1987
自殺の経済社会的要因に関する調査研究報告書
17 1 2 3 4 5 11 16 30,247 17 18 21,024 +2.0 6 12 13 WHO 100 14 7 15 2 5 8 16 9 10 17 11 12 13 14 15 16 17 II I 18 Durkheim(1897) Hamermesh&Soss(1974)Dixit&Pindyck(1994) Becker&Posner(2004) Rosenthal(1993)
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
財政赤字の経済分析：中長期的視点からの考察
1998 1999 1998 1999 10 10 1999 30 (1982, 1996) (1997) (1977) (1990) (1996) (1997) (1996) Ihori, Doi, and Kondo (1999) (1982) (1984) (1987) (1993) (1997) (1998) CAPM 1980 (time inconsistency) Persson, Persson
こんにちは由美子です
1 2 . sum Variable Obs Mean Std. Dev. Min Max ---------+----------------------------------------------------- var1 13.4923077.3545926.05 1.1 3 3 3 0.71 3 x 3 C 3 = 0.3579 2 1 0.71 2 x 0.29 x 3 C 2 = 0.4386
..,,...,..,...,,.,....,,,.,.,,.,.,,,.,.,.,.,,.,,,.,,,,.,,, Becker., Becker,,,,,, Becker,.,,,,.,,.,.,,
J. of Population Problems. pp.,,,.,.,,. Becker,,.,,.,,.,,.,,,,.,,,.....,,. ..,,...,..,...,,.,....,,,.,.,,.,.,,,.,.,.,.,,.,,,.,,,,.,,, Becker., Becker,,,,,, Becker,.,,,,.,,.,.,, ,,, Becker,,., Becker,
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