2006年06月15日
A puzzle: Levitt's favorite
ECONɒʂF畷̂ǁCCLevittCu̓䂪CJPEɍڂĂvƌĉĂpuzzleƂ̂ƁB
ǂbƂƁCuȂCAJł́CsYcommission feéCǂɍsĂC6-7%ʂňȂ̂HvƂǂĉCƂ́B
sYɂRXgȂāC啔Œpłǂł債ĕςȂ͂CRXgʂlCႦCNŶ悤ȂƂł́CႭȂCn̒Ⴂnł́Ȃ̂fBtɌCNŶ悤ȂƂ6-7%̎萔葱ĂCVKQĂэŎ萔Ă͂Ȃ̂ɁCȂȂȂ̂H
CuĂvƂƂ͊ȒPŁCy[p[ɂBǂCꌩɌ錻CύtԂƂĐ́C͂邩ɓBߋɉ炩variationexogenous shockC肪ɂȂ邯ǁCSȂ炵B
[ށB
���e�� hatsuru : 18:28 | �g���b�N�o�b�N
2006年05月17日
kidnapping Myerson
Heckman̎Ƃ́CCԃI[o[Ŏ̎Ǝԑтɂ܂ŐHނ̂ǁCHCuMyerson̂xCƂĂvB
ŁĆCI߂ȂāCCĂ̂ŁC
uNMyerson30قǗUĂCA+B
C5Nԓ邩Ȃǁv
Ƃ̂܂܂.....
���e�� hatsuru : 20:48 | �g���b�N�o�b�N
2006年05月16日
List
Heckman̎Ƃ́CHeckmanx݂ŁCςListB
workshopƂł悭ꏏɂȂĂ̂Ŋ͒mĂǁCƂ͏߂āBȂȂyƂĂ܂B
̐lC10N20Nɂ̓m[x肻ȁBuVKJvŁB
���e�� hatsuru : 09:50 | �R�����g (2) | �g���b�N�o�b�N
2006年05月02日
being famous
Econapplication WSł́CAcemoglu̓oꂾB
ԂɍsCȂSĖ܂ĂāCvԂɒnׂłWSQB˂BǂCcoreŃy[p[ǂ܂uLlvWSŕƂȂƁCuƂ肠炾łq݂ɍsvƂ݂ȍl̂낤H OShleifer̂ƂǁB
̌́CDOCŁCTn܂fJ[OV[Y̏F
Monday, May 1 - 7:00
Decalogue #1/#2
Krzysztof Kieslowski, 1989 - 55m/59m
In I Am the Lord Thy God, Thou Shalt Have No Other God Before Me, the dramatic opening episode of the Decalogue series, a scientist at a local University has faith in the rational explanations of science over a more spiritual path, but when his faith in science causes a family tragedy, he is forced to question his rational approach to life. In Episode Two, Thou Shalt Not Take the Name of the Lord Thy God in Vain a woman caught between her terminally ill husband and her lover wants an abortion for a child of unknown origin, and a doctor must decide how to handle the potential life of an unborn child.
[Ctrois coleursB̂Ƃς蓯lȂȂCƂ̂܂ˁBmɌ点`ʂ̎dƂCb̋ƂB#2́̕Cutrois coleurs炵炱WJɂȂ邾낤ȁvƂ\z̒ʂɁCbWJ܂B
���e�� hatsuru : 07:13 | �g���b�N�o�b�N
2006年04月13日
Taylor expansion
HeckmanHCuecnometricśiႵasymptotic theoryj́CTaylor expansionɐsvłCŋ߁C܂łȂCƂ̍u`Ă܂.....
���e�� hatsuru : 19:28 | �g���b�N�o�b�N
2006年04月05日
Proof by poetry
{Heckman̎ƂŃoJĂꖋBNłmĂCbChebyschevłF
���e�� hatsuru : 21:40 | �R�����g (5) | �g���b�N�o�b�N
2006年04月04日
teaching skill
Econ312̎ƂŁCւ܂CȑOǂł̂ƓeCƋ삯̂ǁCςCǂ̕CuIɗv\͂ɒĂȂ...
���e�� hatsuru : 10:38 | �g���b�N�o�b�N
2006年02月15日
understanding IV
Ƃ̂CHeckmañ}\Ɓi3...jł̂ǁĆBIVāCvɉȂ̂CǂIV͎s邱Ƃ̂iɎs킯ł͂ȂG܂jCƂ̂悭B
Structural Approach܂ł́CKvȂȁCƎvȂƂĂǁĈĂ܂ƁCHeckman[CƊSĂ܂BāCHeckmanCLevittƂ̂Ă邱Ƃւꈵ̂Ci悤ȋCjBłCĺCLevittDǁB
Ȃ݂ɁCHeckmanUofCɗ́C[6C[12܂ł̎ƂĂƂBׂ...
���e�� hatsuru : 11:27 | �g���b�N�o�b�N
2006年02月07日
Fortran
HeckmanTA sessionŁCTACcoding̉Ăꂽ̂ǁCނgĂ̂Fortran (Compaq Visual Fortran)B
łCނ́CStataMatlabmȂāCFortranȂmĂ邩CFortranŏCƂŁCʂɁCproblem set́CStatałMatlabłCłFortranłłOKCƁB
ȂCƎvȂR[hĂǁCCFortranɂȂ݂̂lǂꂭ炢̂CȂ^BɁCFortranāCȂȂĂƂȂ͂ŁCJBw݂ȃAJf~bNñJ^OȂC邩ȂǁB܂CĆCuR[fBO~XĂ\댯ႢvƂ_ł́CuSvȌł͂ijB
ȂCStataRŏ葁BBGFSƂCRɂoptim()Ŏg邵BC茳ɁCCFortranCnĂȂBC/C++ȂCLinuxBSDCgccBcygwinɂ...
���e�� hatsuru : 21:46 | �R�����g (2) | �g���b�N�o�b�N
2006年01月30日
micro lunch
Tmicro luncḧēCGۃ[̃XpɕނĂ̂
ŃXpɂȂ̂ƌ
spam word:"teen+sex+http:"
[ށB
���e�� hatsuru : 17:34 | �g���b�N�o�b�N
regression from age of 10
���e�� hatsuru : 13:38 | �g���b�N�o�b�N
2006年01月27日
hedonic regression
T́CJŁChedonic regressionɐG@B
Iɂ́CȁCƂ㕨Bꂪ҂tBbg̈邯ǁCuɁvꂪǂiFB/SBjƂقǂ̂̂łȂ悤ȋCBsubjective value등댯ƂiwelfareɊ܂߂邩ǂc_̗]n邯ǁjɂ́C܂gȂȂ...
���e�� hatsuru : 11:08 | �R�����g (2) | �g���b�N�o�b�N
2006年01月23日
Bayesian
Hansen̎ƂCLLNɓāCeconometrics炵ȂĂBMCƂn܂̂ŁCȂBayesian}jAbNXɑݍƁCL̖{𒍕...@͂͂B
���e�� hatsuru : 11:35 | �R�����g (1) | �g���b�N�o�b�N
2006年01月20日
Re: Hansen PS
PSĂāCȁCƎvĂCo~XBǂC̎Ƃł́CTAPS̍쐬SĂĂ炵Bdue dateŁCēxoB
���e�� hatsuru : 16:25 | �g���b�N�o�b�N
2006年01月16日
hansen ps
Hansen̍ŏPS\\́CŏCANZXłiނCguestƂĖlchalkɓo^Ăj\\Ă邯ǁCρCeconometricsłȂȂ... ܂CestimatorƂ̘bł͂̂
���e�� hatsuru : 12:47 | �g���b�N�o�b�N
2006年01月11日
TA session
CHeckman̎ƂTA session̂ǁC{l₷BRoy model̐CƐǂĂāC[CȂقǁ[CƎvȂ畷Ă܂B
ɂĂCHeckmanƂĂƁCuLevittƑeȂ낤ȂvƂ̂CЂЂƓ`ėB
CHanseń̕CC߂āCW[NiHjBuȂƂĂāCǂtime series econometricsȂƎvȂǁvƌoāCŏƂꂽBúCeconometricsȂvłB͂B
���e�� hatsuru : 10:43 | �R�����g (1) | �g���b�N�o�b�N
2006年01月09日
freezing
āCHansenƒɕMOC悻SďȂB̋t́C킹̂܂lC]vڗB܂ɊǁC炵S̉kCƂĂĂBĂĂ܂ɒɁXCƂɏWCƂv̂...
Hansen̎Ƃ́Ceconometricŝ͂Ȃ̂ɁCȂCŏ4́Cdecision theoryCƂBꎩ̂̈Ӗ͕̂ǁCǂeconometricsƂȂĂ̂́C܂ȂBxTA sessionŕĂ݂邩ȁB
���e�� hatsuru : 13:16 | �R�����g (1) | �g���b�N�o�b�N
2006年01月07日
finance
VF
̐lCȂƂɂoĂ̂[B
���e�� hatsuru : 13:45 | �g���b�N�o�b�N
2005年12月07日
Estimating tax avoidance
LSƂGSB͐TŎƂIōTexam weekłCPhDseminar͍TBƂ킯ŁCTLevitt̃NX́Cstudent presentationɓ˓B̒̈ɊŷB
VAlC"Estimating Tax Avoidance in Russia"CƔ\BdʼnȂāCǂestimateHƎvǁCނideǎBCȃoCAXĂ̂ŁCdecompose邱Ƃ܂܂KvǁCideâ͖ʔiɁC͂łpublicɂ͏ȂjB
ACfA͂ƂCf[^͂ǂCƂƁCuMoscowɋAƂ̂łvƂČĂꂽdata set͂܂BMoscowśCOEZEpX|[gԍE[ŊzEEƓSĂĂf[^x[XI@Ȃ̂ǂœłCƂƁC~~h炢CMoscowł́C"data stolen from the authority"ȒPɎɓCƁBƂChicago炵research\\VenkateschiԂ肠ĂHjɓT^IɌ悤ɁCSoci/Econ/SSAȂǁC̈Ƃɂ荞ށ\\BC͔̉QB
CƖʔȂƎv̂C{ȂƂ͏tCƂƂ낾B{̒ЂƁCЖ@̏J͑SMpłȂāiMpoJƂjCMł͍̂łɒoނCƂ̂͂悭mĂ鎖BVAƁCłɏoނɃE\CǁC̃f[^͐MpłîƂ͔ނideaȂ̂ŕ܂jCƂ͖̂ʔB
���e�� hatsuru : 21:11 | �g���b�N�o�b�N
2005年11月28日
problem set (last) fin!
Schennnach̍Ōproblem setIB́[BɂĂCquestion 1Ƃȍ~́C̖ʓ|̗͂ǁ[CƂBɁCquestion 3/4́CQĂĂł邺IiłȂ...jĂ炢ȒPȂ̂...
ćCtake home finalȂ̂ǁCǂ悤C܂łȂBauditɂ炸CTA̐lƍ̓_ĕԂĂ...
���e�� hatsuru : 18:54 | �R�����g (9) | �g���b�N�o�b�N
2005年11月19日
empirical econ
Levitt"polarized"ƑOułĂ݂dF
- reduced form
Cambridge/Princeton/PF/Labor/Chicago GSB
- structured
Stanford/Minn/Penn/IO/Yale
[BChicago EconmixedƂ̂ƂŁCHeckman̂悤ɁC"ultimate structuralist"CLevittĝ悤reduced formniȂ݂ɁCultimate reduced forḿCAngristB܂[jB
lgǂnƂƁiʂEconłȂ̂ǁjCstructuredقecon̏CsςłȂ̂ŁCKRIreduced formɂȂ肻BہC@nempirical paperĂ̂voĂCقƂǂreduced formnȂ悤ȋCB
ɂĂC{̌oϊw҂炱敪Ƃ܂łȂBǂ炩ƂƁC{̌oϊwҁimicroj́C܂炸\\ꕔɗO͂邯ǁ\\Cf\zɐoĂBĂC{Œm荇oϊw҂ŁCl̊Ȃ̂łBނ̒ŁCPennAĂlCambridgeAĂlƂłႢ邩CƌƁC܂ႢȂi[CłCmPennAĂlStructured̂ɂ邩jBChicagoł́CقƂǂ̐l܂ł̂ɑāB炭C̕_ɒ邩B
PS. ӂ́CDOCŁCCharlie and the chocolate factoryB߂Ō܂łقڏ]Ă܂BpꂪĺC̎ƒ܂傤BJohnny DepṕCLasse Hallstroem/Juliet BinocheChocolatɑă`RCƎvǁĆCChocolatƈāCIɁu`RH`vƂCɂ͂ȂȂBɂĂCTim BurtońCEdwards: ScissorhandsɑāĈDȂȂ...@̓l̑gݍ킹́CEd Wood/Sleepy HollowiAJɂ͖{ɂ̒nɂjCSƂɂȂBȂ̓IXJ[ƂȂĂłB
���e�� hatsuru : 07:48 | �R�����g (6) | �g���b�N�o�b�N
2005年11月17日
panel by R
RpanelłȂƂƂǁCӁCRhelpĂāC@F
ႦC
state_base <- paste("state", 1:51, sep="")
formula <- as.formula(paste("y ~ ", paste(state_base, collapse= "+")))
ƂƁCformulaɁCstate FE܂iĈ܂܂ƁCrank conditionŗ̂ŁCǂꂩ_~[ƂjB2iKłƖʓ|ǁCŁCstate trendƂ邱ƂłBstateƁC51Ȃ܂ǁCcompany FEƂ300Ƃ500Ƃꍇɂ́C傢ɃRXg팸ɂȂł傤B
ReconometricsɉMĂ܂B
���e�� hatsuru : 08:16 | �g���b�N�o�b�N
2005年11月16日
coding stata
Levittproblem setĂāCstatado fileĂ̂ǁCȂĂ܂B
gen law_change= year if (divlaw==1 & divlaw[_n-1]==0)
replace law_change= 1968 if (divlaw==1 & year==1968)
replace law_change= 0 if (divlaw==0 & year==1988)
replace law_change= law_change[_n-1] if (divlaw==1 & divlaw[_n-1]==1)
replace law_change= law_change[_n+(1988-year)]
ƂɁB@̃_~[ϐCNϐlaw_change肽̂ǁCǂȂB51̏BɁC21Ñ_~[(1968-1988)Ă̂ǁCƂꂢȕ@͂Ȃ̂B
problem setICRłǂȂHƎĂ݂āCrō܁BCStataȂC
reg drate divlaw iyear* inumstate* divx* [aweight=pop]
łނƂ낪CRƁC
r <- lm(drate~divlaw+divx1+divx2+divx3+divx4+divx5+divx6+divx7+divx8+divx9+ divx10+divx11+divx12+divx13+divx14+divx15+divx16+divx17+iyear2+iyear3+ iyear4+iyear5+iyear6+iyear7+iyear8+iyear9+iyear10+iyear11+iyear12+iyear13+ iyear14+iyear15+iyear16+iyear17+iyear18+iyear19+iyear20+iyear21+inumstate2+ inumstate3+inumstate4+inumstate5+inumstate6+inumstate7+inumstate8+inumstate9+ inumstate10+inumstate11+inumstate12+inumstate13+inumstate14+inumstate15+ inumstate16+inumstate17+inumstate18+inumstate19+inumstate20+inumstate21+ inumstate22+inumstate23+inumstate24+inumstate25+inumstate26+inumstate27+ inumstate28+inumstate29+inumstate30+inumstate31+inumstate32+inumstate33+ inumstate34+inumstate35+inumstate36+inumstate37+inumstate38+inumstate39+ inumstate40+inumstate41+inumstate42+inumstate43+inumstate44+inumstate45+ inumstate46+inumstate47+inumstate48+inumstate49+inumstate50+inumstate51,weights=pop)
ɂȂBłłāC51̏Bfixed effectĂāCu_`vƂȂĂ܂BStataxi:*݂ȃR}hCRɂ͂Ȃ낤BȂƂȂƁCformulaɓKȕϐݒ肵āCfor[vē...
���e�� hatsuru : 07:29 | �g���b�N�o�b�N
2005年11月13日
brain wash?
Schennahproblem set 4Iv̂ǁC
Cmatrix algebraŕlyɂȂĂĂB̂bɂȂWooldridge̋LqȂȂĂB̂CEcon Core̐]ʂƂł̂ȂB
���e�� hatsuru : 19:37 | �g���b�N�o�b�N
2005年11月11日
best books of 2005
Congratulations!
Editors's Picks Top 50 no. 3
Customers' Favorites: Top 50 Books no.4
ƑÓCIC̔ɂprice differencȅkƂ̃y[p[̔\[NVbvŁC傤ǖ{̒li͑ΏۂɂȂĂƂCLevittu͂̑OC߂Ė{1ǁCli̓͌ĂȂBco-author͋̕CɂȂ݂ŁCT̂悤ɒli̕ϓ[ĂǁCSĂviꔚjB
lƂiNOHjCقljĂȂ̂ł́B
���e�� hatsuru : 16:54 | �g���b�N�o�b�N
2005年11月10日
Re: non-regression
OɁCLog-LinearĈ́CregressionłȂ炾CƏǁCregressionɓĂςCBłƍlĂ݂āC{B
Econometricsł́Cl̍sɉAsB܂CestimatếCႦC
y = x b + e
Ƃ`łāCxƂindependent var̃xN^ɂāCyƂ̍sEۂǂ܂Őł邩estimateB̍sEۂɂāC̃fĂ͂߁Cleast squaresȂmaximum likelihoodȂestimateĂ킯B
ǂCSociPsychoł́C\ƂȂBɁCregressionłĂCleft hand side var.Cʂ̍sEۂł͂ȂāC܂Ƃ߂uWvł邱Ƃ̂B
ƁCƊĂǎ́Cu@_Il`vɗ̂Ȃ̂CƂƂɂނ날炵B
���e�� hatsuru : 08:25 | �g���b�N�o�b�N
2005年11月03日
Non-regression
R搶Log-Linear Analysis (Categorical Data Analysis)2ڂassignmentIB
[ށCregressionł͂Ȃilog-linearlog-multiplicativegĂĵǁCǂCnon regression^Cv͂́̕CȂBŏeconometricsregressionĂ܂C@wɌoςȂsfāCÅ`ł̕\`ƂĂregressionfCƂłĂ邹CӖł́ufvwiɎȂnon regressiońCǂɂȂBCSȂŕ͂ĂӖ͂Ȃ̂ŁCuƁ~~̏őւĂ͂vȂǂ̉wɎȂ番͂킯ǁCeconometricsɔׂƁCۓxiāC肱ȂB
Levitt̎Ƃ̋A蓹CECON̊wƘbĂāCuꂩprof. Yamaguchi̎ƂȂvƂƁCuނ̂ƂmĂBނ͂ƂĂsmart@guyǁCɂ͔ނ̌Ă邱ƂقƂǕȂvƌꂽBuȂ˂CeconometricsƂcompletely differentȂǁC@n͂̕ɂ́Ccategorical data͂̎̕dmĂ낤CƂĂvƕԎB
���e�� hatsuru : 13:45 | �g���b�N�o�b�N
2005年10月30日
battle sequence
̑O̎ƂłCȂȂʔ퓬F
1) Caroline M. Hoxby, 1994, Does competition among public schools benefit students and tax payers?, NBER WP
2) Caroline M. Hoxby, 2000, Does competition among public schools benefit students and tax payers?, AER
3) Jesse Rothstein, 2005, DOES COMPETITION AMONG PUBLIC SCHOOLS BENEFIT STUDENTS AND TAXPAYERS? A COMMENT ON HOXBY (2000), NBER WP
4) Caroline M. Hoxby, 2005, COMPETITION AMONG PUBLIC SCHOOLS: A REPLY TO ROTHSTEIN (2004), NBER WP
Hoxby(1994) -> Hoxby(2000)̗lς̎d̂ǁiLevittHCuĂǁC2őS͈͂ƂĂȂ͂B܂ŕςƂ͕̂ʂ蓾ȂvBƌĂCHoxby (1994)first stage regressionIĂjC2005Nbattle܂B
܂CRothsteinǂŁCu[CȂƂĂ蓾́HvƂт肳BԃVbLOƂƁCuf[^ZbgɑāCSStatavO(by Hoxby)𑖂点ƁC1ɈقȂ錋ʂoBŁCRothstein1iHjCStatavO𑖂点āCdistribution`Ă݂vƂBLevittC"most embarassing part"ƌĂǁCƐMȂB
ɑĂHoxby̔_܂Bŏ̃pOtiƂCabstractjǂݎn߂ĂCuĖ{academic paperHvƌȂقǁCIB܂ŊIȃy[p[́C߂Č܂B̃x̂́̕C݂ƂƒƂŌׂƂłāił܂ŊIɂ͌ȂClłjCy[p[ŏƂȂˁBO搶ClUɂȂ悤ȏ͂ȂBOғIɂ́CǂłāiӖjŷǁ\\TIȈӖŁB
ƂCeʂł́CRothstein̓˂݂ɑāCقڊɔ_ĂāCǂ{BCԑ厖ȓ_\\Hoxby (2000)first stageŁCȂƂĂ̂ł͂ȂH\\ɂẮCȂBŁCǁCŏIIɂ͂ǂ͕̂炸܂ɂȂĂ܂ĂB
ŁČm[K[ȟŁCǂƂƁCLevitt]ł́CuHoxby͊SɊvBł傤˂Bł́Bg͗ǂ̂... āCuRothsteińĈ܂܂y[p[ĂC͏オvBĺCƂƂʂ̂ȁCƊĂ̂ǁCł͂Ȃ炵B
PS. Schennah́CregressionO̍Ōproblem setI`I@Ȋb̂́CvԂBTOLSɓŁCKEiformalȕjB
���e�� hatsuru : 18:22 | �R�����g (1) | �g���b�N�o�b�N
2005年10月28日
Proposing a dinner date
B̓MOłB
Proposing a dinner date: analysis by rank-dependent expected utility
Gilbert W. Bassett, Jr.
���e�� hatsuru : 06:43 | �g���b�N�o�b�N
Ownership concentration and executive compensation
ςȃy[p[B
Yan-Leung Cheung, Aris Stouraitis and Anita W.S. Wong
Ownership concentration and executive compensation in closely held firms: Evidence from Hong Kong
uabstractǂŁCǂlĂԈĂƎvimplicit assumption2i܂͂ȏjwEȂvƉЖ@̎ŏoCǂ̂炢o邩H@Ж@̍u`ŁC̕V̂ƂȂC𗦂BȂƂ̒x̂Ƃ́Cw̍u`łb̂ŁB
���e�� hatsuru : 06:38 | �g���b�N�o�b�N
2005年10月22日
one of the best papers in JPE history
LevittRgĂy[p[B
EMILY F. OSTER
Hepatitis B and the Case of the Missing Women
(JPE fothcoming)
mɁC@ACfA̎aVCAWꂽf[^ꂢɂ̃ACfAT|[gĂCBpxf[^ɔāCconvincingȕ͂WJĂCƂ_ň|IB
ɂĉĂ܂SenCȂ芴IȔᔻĂ炵ǁCȂ̂͊ȒPɐĂ܂قǐIȃy[p[B
Ȃ݂ɁCޏC1UofC EconɗƂ̂ƁB
���e�� hatsuru : 08:40 | �R�����g (6) | �g���b�N�o�b�N
2005年10月19日
reputation
{Levitt̎Ƃ̖`ŁCjShleiferpresentation]āCς肠ꂶ႟ȂCƎvoB
HCe[}܂ŁCShleiferCꂾ̊ϋqĉƂ`ɂȂĂǁCuN͐ɂȂ̂Ă̓_BShleifeȑꍇ́COcredibility邩C̐lĂ邯ǁCN͂܂˂Ă͂ȂvBƂł܂B
bɂĂCujob marketł̘b͍ňB܂˂Ă͂ȂBނ́Cߋjob marketɂāCƑĂ͂vƂ̃RgB
ςCNł邱Ƃ͓炵B
���e�� hatsuru : 16:59 | �g���b�N�o�b�N
2005年10月17日
Shleifer
Application WŚCAndrei Shleifer̂oꂾB
Ll̂琥Ƃs˂CRosenwald܂ōsĂ݂CݗlBiCEconWŚCRO329ƂƋ߂̕ł̂ǁiLaw School͂ƍLłjCꂪBRO329̓CXȂĒnׂɍ荞łloC̍T܂ŐlӂCƑ吷BȂCƍL\\ႦCStuart 101/102ƂłĂƂ̂ɁB܂CGSBCWSHPC3K̋߂̃Z~i[[ł邱Ƃ炱Ȃ̂B
ŁC̐S̒g͂ǂƂƁCe[}ƌÂā\\ꉞCucausationɂĐVtheoryovƎ咣Ăǁ\\C낳ƂĂ͂܂B̂߂C˂݂Cǂ炩ƂׂeNjJȓ_āiCBecker͂ȂȂjC[ށB
ɂĂCShleifeřCǂŔɂ悭LBmCLaw&Econ WSŁCςBostonn̒N悤ȁBWXƗ}gȂׂāCᔻĂǂŖĉ䂪˂B
CLaw&Econ WSƂCpaperyskimminĝǁC܂Bbehavioral economicsñoCAXwEāChate crimeɂĘ_Ă̂ǁChate crime[炷RXgExltBbgɂāC̃oCAXɗR݂̂̂ɒڂĂāCƓɔΕɓRXgSɖYĂBނ̎wEoCAX炷ƁCuƂ@[]܂vƂĂ̂ǁC̔ΕɓRXglɓăRXgExltBbgŜlCǂǂdominate邩͈Tɂ͌ȂiO̒uŌ_ς肤͂jCEݑB
łC̃oCAX̂́C܂ŒmȂ̂Ȃ̂ŁCꉞCɍsȁB
���e�� hatsuru : 21:29 | �g���b�N�o�b�N
2005年10月13日
how long does it take to write a paper?
u5xv\\ꂪLevitt̓ǁC܂ClȂ́B
̕ӂ́Cpaper̃^Cvɂ̂ǁCl̂悤ɁuACfAꔭ^vŐĂlԂɂ́CʓIɁC
ZԂŏpaperقǁCǂpaperłCԏĂႮᏑpaper͎낵Ȃ
Ƃ@Ă͂܂B@wn̓`́Cu[C[vƂЂ˂ĂЂ˂ďČʂ[ƕׂ̂ŁCX邯ǁiĺuԌ_v́C15000x30x3-4JŁC55BeLXgt@C(TeX)ɂ1MBɒB镶͂ȂǁCxƏCNȂjCACfAꔭ^́CuACfAvāCT|[ĝW܂CƏBCuZ`͍IHv́Cm2炢ŏCu҂̌`vC3炢ŏĂ͂BupuRĂǁ[v́C1TԂŁCƒB
ĆCuIɏv߂̎ԂłāC̑OɁCACfAɂǂ蒅T|[ĝ߂̎TEf[^Zbg\zƂɂ́CȂ̎Ԃ͂ĂBû͈CvB
Cʂ̖@w҂́CƂĂ̂Ȃ낤Bĺuʂ̖@wҁvłȂ̂ŁBƂC낻Cu@wҁvƌĂȂȂĂĂ邩Ȃ...
PS. MTC3.2-ja release 2ɃAbvf[g܂Bx͂ǂH
���e�� hatsuru : 17:12 | �R�����g (2) | �g���b�N�o�b�N
2005年10月11日
complex number
Z̐wŏKcomplex numberC܂łǂłgƂ낪Ȃ̂ǁC{Schennah̎Ƃŏ߂đB
ȂقǁCƂŎgˁCƔ[Bupv܂łɉƒNoƂB
���e�� hatsuru : 15:16 | �R�����g (4) | �g���b�N�o�b�N
2005年10月05日
Chicago <-> Harvard/MIT (ECON)
Levitt̎Ƃ́CɗCƂĂʔ̂ǁC܂ł3̎Ƃ̒ŁCxJԂꂽZtɁC
uŃCHarvardMITłȂāCChicagoɂ邱ƂɂāCadvantageĂv
Ƃ̂B
ǂƂƂƁCLevitt̘b̂܂܍ڂƁC
uziނ̉pĂƁC{̕悤ȋCj́Cidentificationc_ȂBǂCNChicagoɂ̂Ceconomics邱ƂłBBv
ƂƁB
܂œǂƂ̂econometricsȂempiricalpapervNƁCmɂȌX悤ȋCĂ܂Ƃ낪B
CŃCUofCNobel LaureatoȂ... OTVc2006o[W...ij
���e�� hatsuru : 17:06 | �R�����g (6) | �g���b�N�o�b�N
2005年07月15日
Stata
{C{CStata͂܂Bversion 9łBĂversion 8̂ƎvĂC̊ԂɂVversionoĂł˂B
vpbP[WāC10~炢̂ŁCȂȂȂBŔĂāCCDregistration dataĂ̂łB{ȂCLaLonde̎ƂCCXg[ԂŎ̂ǁC܂BŔCpl̈sȂ̂ŁiƂĂ̎ŃvO~Oނ̂ǁjCpliƃNXEZNVjɋStatag悤ɂȂ̂́CB
Ȃ݂ɁCWIṔupuRĂǁ[Hv́CƂŃhtgM܂Bf[^x[X\ẑ͐j炢ɏIāiLiorɁuI[IvČC"The hardest part is beyond you"ƌꂽBȂ˂jCregressionƎM𑱂Ă܂BCj炢ɂ͂łăAbv[hꕔ̐lɂ̓Rg߂circulateł̂ł́B
regression techniquéCǁCordered probitMNL܂ŎgĂ܂BMNPꉞ̂ǁCMCMC{点ă`FbN̂ʓ|Ȃ̂ŁCy[p[ɂ͐ʂoĂ܂BMNLƌ_ςȂBɁC܂ď߂ďeconometricsy[p[ŁCȂBayesianĝȂCƂȂ̂ŁB
̖͓eB@ɂ̓AJf~bN邵ƒ̂ŁCς薯ȂBłC^Cṽy[p[āC܂œ{̎@w҂͒NĂȂ̂ŁCҏWψƓǂł邩ǂCB
���e�� hatsuru : 16:59 | �g���b�N�o�b�N
2005年06月12日
Econometrics on R
LaWikiɁCV@XXژ^/Reconometricslj܂BbIȂ̂ĂȂǁB
���e�� hatsuru : 19:07 | �R�����g (4) | �g���b�N�o�b�N
Re: Security Design
Oɗ\ĂSecurity DesigñT[xCChtgł܂B
ŁCċx݂̗\ۑ4̂C1Ƃ肠IB
���e�� hatsuru : 15:57 | �g���b�N�o�b�N
2005年06月06日
utility of TeX
͂͂͂́B
LaLondẽNXTA烁[ĂāC
a) oG
b) tH[}bg
CȑOC̃uOɂAbvProblem Set4TeXt@Canswer keÿꕔƂĎg킹ĂCƁB
Cނ̖{́Cb)̂ƂɂāCł݂Ȃ\\WordTeX̕ł݂yƂ͌Cłʓ|\\낤CƂ͕̂邯ǁi܂a)͂BɏĂjCłĈB
lMathx͂قƂǍZxǁCłEconĈłB
���e�� hatsuru : 15:58 | �g���b�N�o�b�N
2005年05月31日
LaLooooooooonde!!!
̎ƂŁCuProblem SetTłv
.
.
.
.
.
.
.
.
.
���e�� hatsuru : 13:52 | �g���b�N�o�b�N
2005年05月30日
Final Assignments: Zingales + LaLonde
Spring QuarterŌ3Aassignment̂CZingalesLaLondeIB́CRasinskiSurvey Questionnaire쐬ĉ݁B
LaLondéCrandomized surveylikelihood functionƂ̉@Ă݂܂傤CSEMCduration dataBŏ2͉łȂǁCduration dataɂƎԎBāCƂbehind schduleŁCduration datáCΗjƍŏIjɋ삯ňC̐jassignment dueƂ`ɂȂĂ̂ŁCƊwKvBOHarris̎ƂłɂȂāCHarrisuƂxĂ邯ǎŕĖ̂ɂȂvƊJ蔭ĂǁCLaLonde͉mentionȂB
ŁCpaper3{GreeneЂԂȂǂމHڂɁBdurationāCGreenełԍŌ10łƂGĂȂ̂ŁCƕȂBłCǂłāCmɁCBiometricsproduct quality managementŐɔB@Ƃ̂͗ł邯ǁisurvivor analysisjC@w̎ؕ͂łȂɎg낤CƂ_͂^B|Y葱甲oduration̐肭炢ȁH@łCsample sizeāCʃf[^durationcoĂ܂B
ɂCƂɂĂ܂Bhazard functionlogisitic distɏ]ƎwĂ邯ǁĈ܂ܕʂlogistic function荞ނƁChazard functionEオɂȂċĈŁCdensity functioň`ɂœĂ͂߂ꍇ̌_ĂBʂ... ̎ƂĂC悤BȂ݂ɁCł́Cdiscretehazard rate肳Ă邪߂ɁCʂȂĂ܂iȏ̐߂Ă ^o^jBcontinuousdifferentiableƉ肷ƁCŌ8łɏ悤ɁC炵ꂢȌʂɂȂB\͈̑傾...
ZingaleśCŏAbstract
Instrumenting culture with a linguistic variable on@pronoun drop yields consistent results, indicating a significant influence of culture on@governance.
ƂڂɓƂ́CuЂƂēdgnHvƎv̂́Cǂł݂ƈĊO܂ƂB̂ȕϐCǂĂȂȂIV̓K悭BUԂĂ݂CeconometricsōłIV̎g܂ƕ]paperł́CilotteryjIVɎgĂ̂CȂɕςł͂Ȃ̂ȂBŌnj_́CuC̕Kv肾NJ{IacceptvBdynamic and micro analysisljĂˁCƂRgtȂ̂ŁCÂ߂ȂB]җɎg邩CƂϓI]ɍĂ\ijB
Ȃ݂ɁC{ł́C2SLSƌĂ邯ǁCIV̂悤ȋCB[B܂Cwording͂ǂłB
ɂĂCpaperCٗlR-squaredBō.89ĂlBȐCȏ̒ɂoĂȂƎvĂ...
���e�� hatsuru : 18:29 | �g���b�N�o�b�N
2005年05月25日
REJECT!
{dueZingales̍ŏreferee reporť_B^[QbǵCpaperB theoretical model邱ƂȂCempirical analysis̕ڂڂB PoliSci̐lǁCuȂrWlXĂ܂HvƌȂBȂ݂ɁCŌ̗]vȈꌾ
The paper is not qualified as a good academic paper, although it could be a good report for rating agencies.
ȂāBCʂɖlߌƂ킯ł͂ȂCł₩ȕł́H ݂ȁCreferee reportł́C \yʼnߌȕ̂ŁBꂪChicago炵̂ȂB
���e�� hatsuru : 05:30 | �g���b�N�o�b�N
REJECT!
{dueZingales̍ŏreferee reporť_B^[QbǵCpaperB theoretical model邱ƂȂCempirical analysis̕ڂڂB PoliSci̐lǁCuȂrWlXĂ܂HvƌȂBȂ݂ɁCŌ̗]vȈꌾ
The paper is not qualified as a good academic paper, although it could be a good report for rating agencies.
ȂāBCʂɖlߌƂ킯ł͂ȂCł₩ȕł́H ݂ȁCreferee reportł́C \yʼnߌȕ̂ŁBꂪChicago炵̂ȂB
���e�� hatsuru : 05:30 | �g���b�N�o�b�N
2005年05月23日
Different Utility
ȂOɁCProfessor's stipendɂďCLaLonde̎ƂŁCނ悤ȘbW[NɂĂBPɁC random coefficient modelŁCcoefficientlɂĕςC Ƃ̗o߂̂ɂ炸C{ԏUg[NB
MPP/MBA/JDȂƂꍇƁCPhD5NꍇƂŁCpecuniary incentive͈Ⴄ̂ɉŌNiMPPƂł͂ȂCPhDƁj͂Ȃ̂ẮH@ƂC USprofessor̋́C̏ɔׂ͂邩ɍ̂ǁCłUS̑̐EƂ͒ႭC ͂ȂƂƁC炭prestigełĂ̂CƁBłChypothesisC USňԋႭȂ̂͂ǂH@炭Harvard̂͂ǁCۂɂHarvard͈|IɍށBŁH ƂƁCuBoston͊댯HvBɑbɂȂijBBostońCsouth side͊댯ǁCCambridge͈SB댯ȂNew HavenH ChicagoC 댯xłȂ瑊Ă͂ǁCLaLondeɂƁCKevin MurphýC CaliforniaĂčŏDan Ryan~Hyde ParkɗƂCuȂĂ炵ꏊIv ƌ炵B唚B{ȂCMurphy͂ۂǕςutility functionɈႢȂB
���e�� hatsuru : 12:05 | �R�����g (2) | �g���b�N�o�b�N
2005年05月17日
book for categorical data
Amazonused$40łѐ搶econometricsςς猩ĂCJeSJf[^̈܂肳ĂȂ̂ŁCƎcOBĂresearchɔāCJeSJf[^̃eLXg1ĂƍlĂ̂ǁCǂꂪ̂... GreeneŊԂɍ킹Ƃ̂肾ǁB
Ƃ肠3ŁC
1) Powers/Xie, "Statistical Methods for Categorical Data Analysis"
spring quarterSOCI̎R搶̎Ƃŋȏw肳Ă
Amazon̓ǎ҃r[ł́Cthe most intuitiveƂȂĂ
3) Alan Agresti, "Categorical Data Analysis (Wiley Series in Probability and Statistics)"
Amazon̓ǎ҃r[ł́CłԗIǃ^tdemandingCƂȂĂBb̂łĂl̃t@XpƂH ЂƂƓ\B
ƂƂBǂȂł傤H
���e�� hatsuru : 16:32 | �g���b�N�o�b�N
2005年05月16日
Math -> TeX
LaLondȅh肪ƊBtwo stageregressionŁCone stepڂmissing data̕fitted valuesRĂȂ̂łǂ̂CƂYŒT܂Cone stepڂregressionŁCna.action=na.excludew肵ĂCƋCÂCȂBf[^t[̈ꕔfor loopNA荞ƂĂԂ͂ǂ...
ŁCproblem set́COproblem setƈāCtH[}ɐƂvĂ̂ŁCWordł͂ȂTeXŐBȊɂȂB
ςCƁCWord̐GfB^ł܂CTeXłƏCyCTeX̋łu\쐬ʓ|vƂƂCRɂ́CHmiscpbP[WLaTeXł̕\o̓R}hpӂĂāCCyB
ȂCPŚC蕶߂Â炢BQuestion 2́CǂlĂƏƂ̊Ԃdependent variables̎w肪HĂ邵CQuestion 3C܂ɂB3(a)͔Ô߁CP蔲OLS̑ɁCProbitłIVĂB̕ӂ̂Cyaudit̗ǂiHjłijB
CԈႢƂiCŏQuestion 1̌vZ~X͂ȂƎv...jCĂBȂ݂ɁCdue͐jǁĈɂ͒oĂ܂\B
���e�� hatsuru : 18:56 | �R�����g (1) | �g���b�N�o�b�N
2005年05月13日
Avner Greif
CGreifLS"Fulton Lecture"Ƃ@j̓ʍu`ɗāCĂɔƂ{̈͂ɂĘbĂB
ŁCꂪ炵ʔ̂łBl̂悤Ɂu@[̊OvDȐlԂɂ͂܂ȂB
@[ȂƂŁi12I[bpjCɂēssԂ̎̂CƂƂCȖȎWƌoσfŐĂBCommunity Responsibility SystemƂfŁC{҂ĂȂĺC"Institutions and Impersonal Exchange: The European Experience"̂悢B
���e�� hatsuru : 11:32 | �R�����g (3) | �g���b�N�o�b�N
2005年05月03日
ESS
Data Cleaningɂ́Ceɂ邨bāC]̂߂ǂɁu@ȂȁvCRANT[`ĂCESSȂĂ̂BOB
ESSƂ̂́C"Emacs Speaks Statistics"̗ŁCCEnglish Speaking Society̗ł͂ȂB
Ƃ肠EmacsKvȖˁCWinEmacsTɏoĂ݂ƁCŐVł2000N炢ōXV~܂ĂmeadowB4NȏCo[WAbvĂȂƂɂȂB[CWindowsEmacsgƂj[Y͈ȑOɔׂƒႭȂĂ̂H@gCLinuxăfAu[gɂ邩CMac OS XiLinux̂́jɂCƂƂȂ낤BmɁCn[hfBXNɗ]TCUnixnlCeB̕FXƎg₷͂邯ǁBNOɔׂāCWindowsOS芪ωĂƂ̌Ȃ̂ȂB
܂CƂ肠meadow/usr/local/ɃCXg[BCESŚ̕Ctar ball̉𓀂͂̂ǁC܂CǂƁE[܂̏Ă܂BƂCꂽemacŝǂƁE[܂IWiɏ̂āC\Ԃ̂ŁiJX^}CYjCZ͂ĂȂ̂łB
���e�� hatsuru : 07:56 | �g���b�N�o�b�N
2005年05月01日
midterm season
{GW炵ǁCUofCł́CT痈TɂāCSǂǂƉĂBmidterm seasonȂ̂łB
܂CyjɁCdowntownŁCaccounting and financial analysis IImidtermBfall quarterȗCvX̃eXgB͂ȂCfinancial accountingaccounting and financial analysis IƂĂȂĂƂȂBCO̔ӂ́CߑO1܂ŕKĂǁB
ŁCƂ肠midtermڂÎŁC
Saturday, April 30, 2005UNIVERSITY SYMPHONY ORCHESTRA
"Spring Forth!" - The exuberance of the season explodes in Beethoven's playful, buoyant Symphony No. 2 in D Major, Ravel's evocative impressions of the spirit of Spain in Rapsodie Espagnole, and Arturo Marquez's nostalgic and sensuous Danzon No. 2 (1994), a nostalgic and sensuous dance that begins slowly and accelerates throughout. Barbara Schubert conducts.
Mandel Hall, 8 pm, $10 adults, $5 students
ЂƂƂ낪JǁC\ǂB㔼̑IȂUS炵ƂUS炵ȂB
āC̗[CLaLondeProblem SetɎgŁCɂȂĂƏIBregression͑債ƂȂǁCƂĂCdummyčŏ̑ł݂ʓ|F
lm(formula = I(log(wage)) ~ school + I(aged - school - 6) + I((aged -
school - 6)^2) + tenure + I(race == 1) + I(race == 2) + I(urban ==
1) + I(urban == 2) + I(urban == 3) + I(region == 1) + I(region ==
2) + I(region == 3) + I(married == 1) + I(married == 2) +
I(married == 3) + I(married == 4) + I(sex == 1) + I(occup ==
1) + I(occup == 2) + I(occup == 3) + I(occup == 4) + I(occup ==
5) + I(occup == 6) + I(occup == 7) + I(occup == 8) + I(occup ==
9) + I(occup == 10) + I(occup == 11) + I(occup == 12))
Residuals:
Min 1Q Median 3Q Max
-3.486559 -0.243535 0.003588 0.245751 2.414315
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5.351e+00 4.450e-02 120.237 < 2e-16 ***
school 5.939e-02 1.844e-03 32.205 < 2e-16 ***
I(aged - school - 6) 1.983e-02 1.092e-03 18.169 < 2e-16 ***
I((aged - school - 6)^2) -3.936e-04 2.136e-05 -18.431 < 2e-16 ***
tenure 1.513e-02 5.703e-04 26.535 < 2e-16 ***
I(race == 1)TRUE 7.085e-03 2.029e-02 0.349 0.7269
I(race == 2)TRUE -3.800e-02 2.384e-02 -1.594 0.1110
I(urban == 1)TRUE 8.061e-02 1.192e-02 6.763 1.42e-11 ***
I(urban == 2)TRUE 8.545e-02 1.068e-02 8.004 1.32e-15 ***
I(urban == 3)TRUE -1.041e-01 1.158e-02 -8.989 < 2e-16 ***
I(region == 1)TRUE 1.484e-04 1.137e-02 0.013 0.9896
I(region == 2)TRUE -9.326e-02 1.124e-02 -8.297 < 2e-16 ***
I(region == 3)TRUE -1.207e-01 1.087e-02 -11.106 < 2e-16 ***
I(married == 1)TRUE 1.016e-01 1.082e-02 9.395 < 2e-16 ***
I(married == 2)TRUE 1.443e-02 5.530e-02 0.261 0.7941
I(married == 3)TRUE 4.754e-02 2.250e-02 2.113 0.0346 *
I(married == 4)TRUE 9.298e-02 1.484e-02 6.267 3.82e-10 ***
I(sex == 1)TRUE 2.282e-01 8.533e-03 26.738 < 2e-16 ***
I(occup == 1)TRUE 4.868e-01 3.445e-02 14.131 < 2e-16 ***
I(occup == 2)TRUE 4.396e-01 3.487e-02 12.609 < 2e-16 ***
I(occup == 3)TRUE 4.885e-01 3.752e-02 13.018 < 2e-16 ***
I(occup == 4)TRUE 2.035e-01 3.409e-02 5.968 2.47e-09 ***
I(occup == 5)TRUE 2.512e-01 3.368e-02 7.460 9.29e-14 ***
I(occup == 6)TRUE -3.232e-01 5.937e-02 -5.443 5.34e-08 ***
I(occup == 7)TRUE 2.886e-01 4.188e-02 6.891 5.84e-12 ***
I(occup == 8)TRUE -3.330e-02 3.394e-02 -0.981 0.3265
I(occup == 9)TRUE 3.402e-01 3.385e-02 10.052 < 2e-16 ***
I(occup == 10)TRUE 2.058e-01 3.475e-02 5.922 3.26e-09 ***
I(occup == 11)TRUE 2.171e-01 3.678e-02 5.903 3.68e-09 ***
I(occup == 12)TRUE 7.927e-02 3.716e-02 2.133 0.0329 *
---
Residual standard error: 0.4036 on 11781 degrees of freedom
Multiple R-Squared: 0.4996, Adjusted R-squared: 0.4983
F-statistic: 405.5 on 29 and 11781 DF, p-value: < 2.2e-16
ĂȊB
łCLaLondeɎEӂ̂́Cdata cleaningB܂Cutop/bottom1%cleanvƌĂققƏƂC̖ŁułCɁCׂłȂ̂܂܂Ă邩ȂBS`FbNBv
[B̃f[^ZbgC12lŁĈ㉺2C240l̃f[^ɂāCsR̗L`FbNĂƂłH
...`FbNI_ŁC_Iɂ܂Ղ܂CSB
���e�� hatsuru : 15:53 | �R�����g (1) | �g���b�N�o�b�N
2005年04月29日
faculty's book
Levitt̖{FFreakonomics : A Rogue Economist Explores the Hidden Side of EverythingoĂBe[}͔ނ̍܂ł̘_ƂĂ悤ǁCW[iXgƂ̋ɂȂĂ邩CCʌɃCgĂƎvB̗Lȑ告o̘_^B
���e�� hatsuru : 06:43 | �R�����g (4) | �g���b�N�o�b�N
R -> econometrics
܂CmReconometricŝ͐ȂǁCς蓝vpbP[W͍iExcel͓vpbP[WłȂƑOjB{ŎƂƂɁCwɔ킹orĂin͗\ZtȂjƂI͕s\Ȃ̂łB
łCCł낤Ƃl͌\炵CFarnsworth-EconometricsInR.pdf ͂Ȃ֗BKellog̐搶ɂ̂ǁCGreenŃJo[Ă邱ƂCǂ̃R}hĝCƂƂƐĂB
CO猟Ă݂ƎvĂɕKvȃf[^\ȂƂ̂ŁC`WĂ݂悤B̃f[^Cdependent variablediscreteiꉞorderedjȂ̂ŁCŋ߂܂LaLonde̎ƂłĂdependent=dummyƏ̃eNjbNimultinomial logisiticjKvBĕȂȂ...
���e�� hatsuru : 06:37 | �R�����g (2) | �g���b�N�o�b�N
2005年04月27日
Wooldridge
Rl^̂ŁCłɂqɂāB
WooldridgeIntroductory EconometricsɕtĂf[^ZbǵCmissing data"."ŕ\Ă̂ŁĈ܂RŏƁCwarningĐɌvZĂȂB
Ƃ킯ŁC".""NA"ɕϊĂ邱ƂKvɂȂBőOɍ̂C̏Gۃ}NF
iWooldridgeNA.macƂłOtĕۑj//gq.raw.txtɕϊ
$file_path ="";
$file_name = basename2;
#f_len =strlen($file_name );
#cnt =#f_len -1;
while(#cnt >0 ){
$str =midstr($file_name,#cnt,1 );
if($str ==".")break;
#cnt =#cnt -1;
}
$file_name =leftstr($file_name,#cnt )+".txt";
$file_name =$file_path +$file_name;
// . NAɒu
replaceallfast " . "," NA ";
//Ōɕۑ
saveas $file_name;
//I
exit;
ŁCϊŁCgqRAWtxtɕςĎIɕۑĂB́iDOSgĂjȂCsedperlŏbatch fileɂĂ(UnixȂshell scriptjCWindowssedperlĂl͑Ȃł낤ƂlāCGۃ}NɁB
���e�� hatsuru : 17:23 | �g���b�N�o�b�N
Econometrics <-> Statistics
Econometrics̕RgȂi߂ĂƁCʔƂɋCtB܂CEconometricsāCStatisticŝق̈ꕔijɂȂȂCƂƁB
ႦClogitprobitRłǂ̃R}hgCCRANŃT[`Ă݂ƁiȂ݂logitglmCprobitglmȂpolrjCR̃[OXgł̖ʔ|B
EconometricianCuEconometrics̃NXRgBŁCw̕X̂߂ɁColsƂlogitƂprobitƂR}hĂ͂ǂvƒĂƂCR̃eiXSҁistatisticianjCuȗpEconometricsjargonŁCStatisticsʂɂ͒ʗpȂ炩čBpBvƉBv킸Ă܂B
CLaLonde̎ƂłCu̍u`ICEconEconometrics̎ƂȂƂȁBStat̎ƂƂvƌꂽBmɁCUofCStat̃x͍(WisconsinǁjCacademic yearɂ͂Ƃ낤ƍlĂ̂ŁC㉟CB
���e�� hatsuru : 06:06 | �R�����g (4) | �g���b�N�o�b�N
2005年04月23日
Tracking Stock
̑Oɑ嗬sāĆCSR͂ȂȂĂ܂l^̈ɁCTracking StockBSonyɂTSsB̎Ƃē{őSgȂȂ̂́CSonyTS܂肤܂@\ȂƂɂ邯ǁCł́Cł܂@\Ȃ̂H@̖₢ƂāCUSłTSs̎ႪĂ̂H
R͐FXl邯ǁCl闝R̈́CUSł̎ۂ̔sώ@Ă݂ƐłB
SonyTSɁCuUSł̔svƂĂ悭pĂ̂CGMɂEDSHughesɔsꂽClass EClass HBǂTSCĂ݂ƁCSonyTSƂ͏傫ႤƂɂÂB
- ǂCɁC^[QbgЊɑāC̑ΉƂĒꂽ
- ǂ̏ꍇCEDS̑劔EHughes̑劔Ƃnegotiation̏Ŕsꂽ
- Hughes̏ꍇɂ͑劔Ƃ̊Ԃgurantee contractiTS̎sꉿizCGM͂̍zUȂȂȂjCEDS̏ꍇɂnontransferable noteiTS̎sꉿỉiĂȂCGM͂̍zUȂȂȂjsꂽ
ɌƁC
- PɎB̂߂ɁCqЋƐтtrackĈʂɔs
- protectionȂ
ƂSonyTSƂ͑SRႤB
m̂悤ɁCTSvoting right[debtɋ߂CǂdefaultȂ̂debt̓ĂƂCƂuȂv݂BCdebtcovenantslC_IȎ蓖FXƕKvɂȂ킯ǁCႦCuqЂ̋ƐтɘAĔz܂vƏƂĂCuqЂ̋Ɛсv́ivjȂĊȒPɂłĂ܂킯ŁCTŚCou[ȑ݂iȂƂŔƂ͐ɎvȂjB
GM̃AWǵC_C
- gurantee̐ݒ
- 劔Ƃj^[i̔\͂CZeBj̑
Ƃ`ŏzĂ̂ǁCSonýC_SzȂCƂƂɂȂB
Cȏ̋c_́Cu蓾v̈ɂCꂪƂۏ͂ȂBłCႦCԂTS̉iωC劔̑ہEgurantee̗LƂdummyregressĂ݂ƂƖʔȂB܂CɂFXvariablescontrollKv肻CuƔhq肾vňpBarber-Lyon̎Lyon-Barber-Tsai, "Improved Methods for Tests of Long-Run
Abnormal Stock Returns" (JF1999)ȂĂC\ʓ|ǁB
���e�� hatsuru : 14:27 | �R�����g (1) | �g���b�N�o�b�N
2005年04月14日
Does Tender Offer create value?
tH[AbvB܂CȂB
Sanjai Bhagat, Ming Dong, David Hirshleifer and Robert Noah
CӖŃG[WFV[RXg𗠕tF
Thomas Moeller
���e�� hatsuru : 08:49 | �g���b�N�o�b�N
2005年04月10日
R
LaLondȅh߂ɁCvXRgB
قone quarterԂɎĝŁCɃR}hƂYĂǁCgomBHarriśCStata{Ȃ̂ǁCRStatãf[^̂܂ܓǂݍ߂邵CvB
f[^dummy variableɕϊ@vȂ̂ŁC߂ǂƁC(durtrain != 0)łĂ܂B낤CǂijBTRUE/FALSEɂĕԂCRɂĂ...͂B
���e�� hatsuru : 15:58 | �g���b�N�o�b�N
2005年03月26日
book order
߂ėāCvXɖ{̒FAmazon.com: Books: Lawlessness and Economics : Alternative Modes of Governance (The Gorman Lectures)
l̃CƁCdȂ邩dȂȂCȂƂ낾B
���e�� hatsuru : 09:55 | �g���b�N�o�b�N
2005年02月17日
and more
łɁCgNɁCȂ݂̂̑ĂF
University of Michigan Law School: Centers and Programs
łBvۂRďĂ݂H
���e�� hatsuru : 14:09 | �g���b�N�o�b�N
"Family Firms"
ʌpaperTĂāC܂ܓ˂paperF
Family Firms
ד搶Ƃ́Cassumption˂Bassumption̕قrealisticƎv̂ǁB
���e�� hatsuru : 14:00 | �g���b�N�o�b�N
2005年01月19日
legal rules may not matter
ȊoĂiȂƂCGɊւẮjlǁCȎāCȂƂɂFCan foreign firms bond themselves effectively by renting U.S. securities laws?
łɁCCk݂ȁiłCɉ_ł͂j_F
Land inheritance rules: theory and cross-cultural analysis
V䐽搶ȂԂȁBupvꂻȋĈŁCmȂVAZȂB
ƌ̘_ɂĕ⑫B
uk݂ȁvƏǁC悭悭lĂ݂ƌ\_Iɂ͖ʔāCʁCƑ@ƂƕIʂ炵߂ȂȂĂ܂ǁĆCƑ@Љoς̂ɉe^ĂȁiƂ͂C{ƗƂǂ炪悩̖͂jCƂƂĔĂ_ł͂B̈Ӗł͗LӋ`ȂBȂC̕Ř_Ă݂悤ƂCN邩ȂB
uȂvłH@ƂC͂܂NĂ܂BSiHjĂB
���e�� hatsuru : 18:53 | �g���b�N�o�b�N
2005年01月09日
Theft and Taxes
xLE WSGSBZingalespaperB
̖Cppƒ߂ĂāC\ʔƔBꌾŌu@lł݂̑́Cdouble monitoring modelŐłvƂƂȂ̂ǁivHjCf̃Vvi܂łȂoό҂́u͋Ɓvɗfł͂Ȃj܂āCӁ[ƂCɂĂB{̉Ж@łCLȁuȂzېŘ_vǁiߋ`Ȃ̂͑gDĕҐŐłقƂǏjCł̋c_ɒʂƂ낪悤ɂB@lłƂgN̏_邯ǁC̒ɂ̎_͏ĂH@voȂiƓǂ͂Ȃ̂ɁĵŁCRgtĔނɏĂB
CCɂȂƂāC
1) outcomeƂĂcorporate governanceƁCƗϐƂĂcorporate govenance systemƂƂɍĎgĂBЖ@҂ƂẮCcorporate governance system̂endogenousɑ郂fĉĂƂɂ肪ǁC͍]݂H
2) IRSɂ郂j^ÕRXg[ƂOĂ邱ƁiĂȂǑjBIɂ́CIRS̃j^OƃAEgTC_[̃j^O̒ނ荇eȂ̂ŁCĂ̂͂^BCIRS̕j^O̎͂邩ɍi̓_͌yjCIȑOƑĂ̂B
3) ɂẮCLLSV݂Ȍ`œƗϐݒ肵ĂB@w̑͑"notorious"LLSVȂ̂ǁCt@CiX̑LLSV͂܂ƂȂ낤H
4) S corporationȂƁCgovernance system͂܂ƂłȂ̂ŁijCt̋c_ɂȂ悤ȋC...
5) ̃^CgC̗L"Debt and Taxes"Ă邯ǁCƖCBuHarris̃^CgĂĂꂽvƂCmDebtTheftʼnCʂĂČC͂BǂCTheft͂remoteɂB̃^CgĂƁCuBecker搶HvȂĎvĂ܂B
Ƃ_B
ƂŁCZingalesCspring quarterɂƂ낤ƎvĂGSBTheory of Financial Decision III̒S̈lBlDiamondŁC炭CDiamondbankingCZingalesinternal capital marketƎviľ삩炵đjBTheory of Financial DecisionV[YCŏEugene Famȁ،ii͂܂苻Ȃ̂ŃpXjCKaplañR[|[gt@CiXCčŌDiamond/ZingalesƁCߑo悤ȃX[p[utwBUofCɂ邱Ƃ̍KBoĂKaplanCiMBA̐lɂ͊߂ȂjBassignpapeȓIŁC\Kɂǂł邾łƂĂɂȂB̓ǂpaperłĂC܂VȔāCVNB
���e�� hatsuru : 08:10 | �g���b�N�o�b�N
2004年12月22日
journal of socio-econ
ʔȘ_B
ScienceDirect - Journal of Socio-Economics : Size matters: the standard error of regressions in the American Economic Review
^CgƋC̗i|jɂȂĂƂyBAJ̘_āCVѐŜ^Cgt邱ƂǁC{ł͂ȂȂĂlȂB܂߂B
abstractǂǁCmɁCstatistical siginificancei܂*/**/***ttȂjł͂ȂC厖Ȃ̂ɁC݂*CɂĂȂCƂ͈ȑO犴Ă܂BCܔ鑊肪AERilCAGł͂Ȃj炩CǂǂǂƃRgtĂāC͓̍WɂȂĂB
PS. Ȃ݂ɁC{̒́CC-13CC̊C-20CBj銴ŁC傤ǁC~̎R`RiR`XL[̃[vEG[̈ԏォCkŏĂƂBshort skiSœoC~Ă܂BꉞCi֎~̍邯...jɂ悭ĂBقNJ͂ȂBȂƌĂC1500mŔCB
CɁC23`25́CŒCCFŃ}CiXɂȂ\BB
���e�� hatsuru : 07:05 | �g���b�N�o�b�N
2004年12月04日
summary of the 1st quarter
ŁCfall quarter̎ƂI܂iGSBfinal1WIP1cĂ邯ǁjBƂ킯ŁCzB
a) law school
1. secured transaction
[XN[ŗB܂ƂɏoĂƁBRasmussenʔC{ł܂ĂȂicorporationȂ͌\mĂ邵ĵŁC悭mĂȂ˂iށCƂ̂悩B̎ƂƂɁC_1{íC1{M肷jBǁC̕C{IUCCŘbi݁Cʂ̃R[łȂCƂ\NeXE\bhł͂ȂB\NeXx̌ɓ{ɋAĂ̂ijB
2. workshop on legal scholarship
uw҂ɂȂ肽lpWSvBGSBregressionƏdȂĂ̂ŁCoĂȂǁCAJł̘_̏Ez̓ɂāCFXQlɂȂB
3. workshop on law and economics
OɂǂŏǁCoutsiderɑagressivełB߂ɋ߂BǂC@ɊĂƁCoჂĂƂ낪낵B
4. WIP
facultyp̃Z~i[Bȕ̘bьC̑̑ɂȂBȃCXs[V邵C̐lɂ悭Ă̖̂nCɊBŔ\ł悤ɂȂ肽Ȃ...
b) GSB (MBA)
1. applied regression analysis
ɗOɁCF搶CuChicagõrWlXXN[̂Ƃ́C܂߂ȎƂĂƂvƌCÓuHHHv̂ǁCĂ݂ĕBrWlXXN[MBAR[XāCʂ邢łBMBAmasteriCmĵ͂Ȃ̂ɁCûǂCmIvƌȂ邱ƂiClaw schoolJDāCuǂmIvƌȂjBN搶urWlXXN[ׂ͂Ƃv̂悤ȂƁiLsmjĂǁCw@Ƃ͐EƌPwZHilaw schoolj
̎ƂCstat̒ł́uтadvancedvR[X̂͂Ȃ̂ɁCȂʂ邢BuTł(*1)regressionvƂBrŏô߂āCeconometrics̃eLXg̓Ɗwɕς悤ƂvǁC搶ɐeߊôƁCuvʂ͏K芵v炵̂ŁCeLXgɂ͕KĂȂuv݂Ȃ̂邩ƎvāCŌ܂ŏo܂i炢IjBɂCvʂ́C{ł͂قƂǂĂȂiŵƂ̊mv~܂ĵŁC̐ɂ͑傫vBłCw̗v]ɂ킹ĎƃXs[hx点߁Clogitprobit܂łǂ蒅ȂC͂ꂩƊwŃ}X^[˂B
c) GSB(PhD)
1. economics of information
PhDR[XCChicagoɂȂu܂߁vȃR[XB{econw@iƂĂCM搶ƓkĨ[~oƂȂǁj̓ɂȂ܂B
Ђ琔ŐiގƁBĂ̕yƂijB̃[~́CȂNVJȃy[p[i70-80N㒆Sjǂ܂܂BSĊSɗ邱Ƃ͂łȂǁC܂econ̋ȏǂłĕȂƂCĕ悤ɂȂ̂͂ꂵBɁC܂ŁCǂ̋ȏǂłCrevelation principlëӖłȂ̂ǁCC߂ĕ܂BHarrisgCurevelation principléCC[ŕ֗vƌĂǁC̒ʂCĂ܂COCƂBŁCʂ̃eLXg͂ɉĂȂȁB
(*1)Tł... ľȂ̈B֑\iuȒPvƂӖȂjȂ̂ŁC܂[ɎȂ悤ɁB̌ȂƂāu|Ď̂ĂviuvƂӖȂjƂ̂BgpF - Tłcorporate financeiBrealy/MyerŝƁj - Tłi@i̕ɈˑB[~̈݉ŌCɊẘԂɁu͂ĂvƍL܂炵BO̕ŁBj - gȂ_|Ď̂Ăقǂ - |Ď̂Ăقǂ邦qi^ɑ|̂Ă͖̂lłj
���e�� hatsuru : 08:59 | �g���b�N�o�b�N
2004年10月30日
an error
LȘ_ł܂ɂłB\KĂ猩Ă܂BRothschild/Stigliz (1976) QJE 91:636BW1W2RtBmCT̎ƂłCHarrisCHolmstrom̌vZ~XĂBC̒x̃~XłÓT̉l킯ł͑SRȂǁCl̂悤ȏ҂́Culł~XvƂƈSijBʁCoόnłreview邩C܂肱~X͂Ȃ̉ǂȂB
Ȃ݂ɁC̘_CvXɂق̂ڂ́B̏T́C_Ƃ90%͐Řbi݁CЂЂȂĂĂ̂ŁCɕ͂ƃOt̂ŐȒPƁC̒̃IAVXijB
���e�� hatsuru : 15:20 | �g���b�N�o�b�N
2004年10月11日
Cann't agent's utility be negative?
Ƃ̂CHarrisEconomics of InformatioñZ~i[ŘbɂȂĂ܂B
OiIRjH~[ɂCoptimalȒ_̉ŁCagent̊Ҍp[ɂȂˁCƂbĂCẅliEconPh.D. candidatejCuꂾƁCagentoptimalȓw͐ȊOIƂagent̊ҌpnegativeɂȂāCȂƂ͂蓾ȂCƂCCZeBȂvƌoāCHarrisuCȂقǁvƌoĂ܂܂B
ʂɂ͂ȂƎvǂȂFύtł́CIRoCh邩CȂ͓̂OŁiʂH~=0łȂĂC͔jCagentutilitydefineiςCnormalizej̘bƎvłB
Ɣ̂ǁCHarriśCu܂łɍlĂvBł̂ijB
���e�� hatsuru : 12:25 | �g���b�N�o�b�N
2004年09月27日
Milt
ꂩCMilton Harris"Economics of Informatin"Economics(Gradute Level)EGSB֓ˌłBvȂB
Ȃ݂ɁCɏoƁCBaird"Corporation Law"ƃobeBÔŁCɂ͏oȂȂijB
���e�� hatsuru : 08:48 | �R�����g (2) | �g���b�N�o�b�N