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その他のタイトル Productive Information Gathering and Optimal Banking Contracts

著者 宇惠 勝也

雑誌名 關西大學商學論集

巻 58

号 4

ページ 1‑30

発行年 2014‑03‑10

URL http://hdl.handle.net/10112/8167

(2)

ੜ࢈త৘ใऩूͱ࠷దି෇ܖ໿

Ӊɹዳɹউɹ໵ ɹ

֓ཁ

ຊߘͰ͸ɼ Cr´emer, Khalil, and Rochet ʢ 1998 ʣʹ฿͍ɼاۀ͸ࣗΒͷλΠϓΛ஌ͬͯ

͍Δͱ͍͏Ծఆʹ୅͑ͯɼͦΕΛ஌ΔͨΊʹ͸৘ใऩूίετ e Λෛ୲͠ͳ͚Ε͹ͳΒͳ

͍ͱԾఆ͢Δ͜ͱͰɼӉዳʢ 2013 ʣͷϞσϧΛ֦ு͢Δɽ͜ͷԾఆͷԼɼۜߦ͸ e ͷ஋ʹ ґଘ͢ΔܗͰɼاۀʹ৘ใΛऩूͤ͞Δܖ໿·ͨ͸ऩूͤ͞ͳ͍ܖ໿Λఏࣔ͢Δ͜ͱͱͳ Δɽࢿۚར༻ͷޮ཰ੑͱ৘ใϨϯτͷؒͷτϨʔυΦϑʹ͍ͭͯɼ৴༻ׂ౰ʹয఺Λ߹ͤ

ͳ͕Βߟ࡯͢Δɽ

Ωʔϫʔυɿି෇ɼੜ࢈త৘ใऩूɼ৘ใऩूίετɼ৴༻ׂ౰ɼ࠷దܖ໿ઃܭ

1 ͸͡Ίʹ

ຊߘͰ͸ɼ Cr´emer, Khalil, and Rochet ʢ 1998 ʣͷ෼ੳʹ฿͍ɼ৘ใࣗମʹؔ͢Δඇରশੑ

ͱ͍͏ΑΓ͸Ή͠Ζɼ৘ใऩूίετʹؔ͢Δඇରশੑ͕࠷దି෇ܖ໿ͷઃܭʹٴ΅͢Өڹʹ

͍ͭͯ෼ੳ͢Δɽ͢ͳΘͪɼاۀ͸ҰఆͷίετΛ͔͚Ε͹৘ใΛऩूͰ͖Δͷʹର͠ɼۜߦ

͕৘ใΛಘΔʹ͸ېࢭతͳίετ͕͔͔Δͱ͍͏ঢ়گΛ૝ఆ͠ɼ͜ͷঢ়گʹ͓͚Δ࠷దܖ໿ઃ

ܭͷ໰୊Λ෼ੳ͢Δɽ

ຊߘͰ૝ఆ͢Δͷ͸ɼۜߦ͕ି෇Λ࣮ߦ͢ΔͨΊʹɼ౤ࢿϓϩδΣΫτͷ࣮ࢪΛܭը͍ͯ͠

Δاۀʹରͯ͠ି෇ܖ໿Λఏࣔ͢Δͱ͍͏ঢ়گͰ͋Δɽ౰ॳɼاۀ͸౤ࢿϓϩδΣΫτͷऩӹ

ੑ͕ͲΕ΄Ͳͷ΋ͷͰ͋Δ͔Λ஌Βͳ͍ɽ͔͠͠ͳ͕Βɼاۀ͸ίετΛෛ୲͢Δ͜ͱͰͦΕ Λ஌Δ͜ͱ͕Ͱ͖ΔɽҎԼͰ͸ɼاۀͷ౤ࢿϓϩδΣΫτͷऩӹੑΛύϥϝʔλ θ Ͱද͠ɼ͜

ΕΛاۀͷλΠϓʢ type ʣͱݺͿɽ΋͠اۀ͕৘ใΛऩू͠ͳ͍͜ͱΛબͿͳΒ͹ɼاۀ͸ࣗ

ΒͷλΠϓΛ஌ΔલʹआೖֹΛܾఆ͠ͳ͚Ε͹ͳΒͳ͍

2

ɽҰํɼ΋͠اۀ͕৘ใΛऩू͢Δ ͷͰ͋Ε͹ɼۜߦʹΑͬͯఏࣔ͞ΕΔܖ໿Λॴ༩ͱͯ͠ɼࣗΒͷརӹΛ࠷େʹ͢ΔΑ͏ʹआೖ

ֹΛબ୒Ͱ͖Δɽ͜͜Ͱɼ৘ใऩू͸ۜߦʹͱͬͯ͸؍࡯ෆՄೳͰ͋Γɼاۀ͸৘ใΛऩू͠

ͯ΋ɼͦͷ৘ใΛۜߦʹରͯ͠৴པͷஔ͚Δ࢓ํͰ఻͑Δ͜ͱ͸Ͱ͖ͳ͍ͱԾఆ͢Δ

3

ɽ

௕೥ʹΘͨΓԹ͔͘وॏͳޚڭࣔɼޚॿݴΛ༩͑ଓ͚ͯͩͬͨ͘͞ਆށେֶ໊༪ڭतɾੴ݈֞Ұઌੜʹର͠ɼ஭

৺ΑΓײँͷҙΛද͠·͢ɽ

2

΋ͪΖΜɼࣄޙతʹ͸ɼاۀ͸ձܭ࢜Λ௨ͯࣗ͡ΒͷλΠϓΛ஌Δ͜ͱʹͳΖ͏ɽ

3

͜ͷΑ͏ͳ৘ใ͸Ұൠʹɼ soft information ͱݺ͹Ε͍ͯΔɽͳ͓ɼཱূෆՄೳͳ৘ใͰ͋Δ soft information

(3)

ຊߘͰ͸ɼاۀ͸ܖ໿Λ݁Ϳલʹ৘ใऩूΛߦΘͳ͚Ε͹ɼࣗΒͷλΠϓΛ࠷ޙ·Ͱ஌Δ͜

ͱ͕Ͱ͖ͳ͍ͱԾఆ͢Δɽͦͷ݁Ռɼ΋ۜ͠ߦ͕اۀʹ৘ใΛऩूͤ͞ΔΑ͏ʹܖ໿Λઃܭ͢

ΔͳΒ͹ɼआೖֹ͸λΠϓΛ൓ө͢ΔͨΊ૬ରతʹޮ཰తʹͳΔ͕ɼ͔͠͠ɼاۀ͸ͦͷ৘ใ Λར༻ͯ͠৘ใϨϯτΛҾ͖ग़͢͜ͱ͕Ͱ͖ΔͰ͋Ζ͏ɽଞํɼاۀʹ৘ใΛऩूͤ͞ͳ͍ܖ

໿͸ɼλΠϓʹԠͨ͡आೖܾఆΛෆՄೳʹ͢ΔͨΊɼआೖֹ͸૬ରతʹޮ཰తͰͳ͘ͳΔ΋ͷ ͷɼاۀʹ͸Ϩϯτ͕·ͬͨ͘ɼ͋Δ͍͸΄ͱΜͲ࢒Βͳ͍͜ͱʹͳΔɽ͜ͷΑ͏ʹຊߘͰ

͸ɼࢿۚར༻ͷޮ཰ੑͱ৘ใϨϯτͷؒͷτϨʔυΦϑΛߟ࡯͢Δɽͦͷࡍɼࢿۚར༻ͷޮ཰

ੑͷ௿Լ͕Ұछͷ৴༻ׂ౰ͷܗΛͱΔ͜ͱʹ஫໨͠ɼ৘ใΛऩूͤ͞Δܖ໿ͱͤ͞ͳ͍ܖ໿ͱ Ͱ͸ɼੑ࣭ͷҟͳΔ৴༻ׂ౰͕ൃੜ͠ಘΔ͜ͱΛࣔ͢

4

ɽ౰વͷ͜ͱͰ͸͋Δ͕ɼ৘ใऩू͸ͦ

ͷίετ͕খ͍͞ͱ͖ʹߦΘΕɼେ͖͍ͱ͖ʹ͸ߦΘΕͳ͍ͷͰ͋Δ͕ɼ͔͠͠ͳ͕Βɼຊߘ ͷ෼ੳ͸ۜߦͷઃܭ͢Δܖ໿ͷ࣋ͭڵຯਂ͍ಛ௃Λ໌Β͔ʹ͢Δ͜ͱͱͳΔɽ

্Ͱड़΂ͨΑ͏ʹຊߘͰ͸ɼܖ໿క݁Ҏલͷ৘ใऩूͷޮՌΛ෼ੳ͢Δ͕ɼͦͷࡍʹॏཁͳ ͷ͸ɼ৘ใऩू͕ࣾձతʹ๬·͍ܾ͠ఆ͔൱͔ͱ͍͏఺Ͱ͋ΔɽຊߘͰߟ࡯͢Δ৘ใऩू͸ɼ आೖֹΛͦͷλΠϓʹదԠͤ͞ΔͷʹඞཁͰ͋Δ͜ͱ͔Βɼࣾձతʹ๬·͍͠ޮ཰తͳܾఆͱ ͳΔՄೳੑ͕͋ΔͨΊɼ ʮੜ࢈త৘ใऩूʯ ʢ productive information gathering ʣͱݺ͹ΕΔɽ

͜Εʹରͯ͠ɼӉዳʢ 2010 ɼୈ 5 ষʣʹ͓͚ΔΑ͏ʹɼԾʹܖ໿લʹ৘ใऩूΛߦΘͳ͔ͬͨ

ͱͯ͠΋ɼܖ໿͕క݁͞ΕऔҾ͕ਐߦ͢ΔաఔͰίετΛ͔͚ͣʹ৘ใ͕ར༻ՄೳͱͳΔΑ͏

ͳ৔߹ʹ͸ɼܖ໿લͷ৘ใऩू͸ɼاۀ͕୯ʹϨϯτγʔΩϯάͱ͍͏ઓུతͳཧ༝Ͱߦ͏ʹ

͗ͣ͢ɼͦΕނɼࢿݯΛ࿘අ͢Δ͚ͩͷࣾձతʹ๬·͘͠ͳ͍ܾఆͱͳΔͨΊɼ ʮઓུత৘ใऩ

ूʯ ʢ strategic information gathering ʣͱݺ͹ΕΔ

5

ɽ

ۜߦͷ࠷దܖ໿ઃܭͷ໰୊Λ෼ੳ͢ΔͨΊӉዳʢ 2013 ʣͷϞσϧΛجૅʹஔ͖ɼ͜ͷϞσϧ ͷ࠷దܖ໿ΛηΧϯυϕετʢ second-best; SB ʣܖ໿ͱݺͿɽ͜ͷϞσϧͰ͸ɼۜߦ͕اۀͱ

ି෇ܖ໿Λక݁͢Δࡍʹɼ͢Ͱʹاۀ͕౤ࢿϓϩδΣΫτͷऩӹੑʹؔ͢Δ৘ใΛࢲతʹอ༗

͍ͯ͠Δঢ়گ͕૝ఆ͞Ε͍ͯΔɽ͕ͨͬͯ͠ɼ΋͠΋৘ใ͕ίετΛ͔͚ͣʹར༻ՄೳͰ͋Δ ʢ e = 0 ʣͳΒ͹ɼۜߦ͸اۀʹରͯ͠ SB ܖ໿Λఏࣔ͢Δ͜ͱͱͳΓɼ͜ͷܖ໿͸͢΂ͯͷλ ΠϓͷاۀʹඇෛͷϨϯτΛ΋ͨΒ͢ɽ࣮ࡍɼ e e

1

ͳΔ͢΂ͯͷ e ʹର͠ɼ SB ܖ໿͕اۀ ʹ৘ใΛऩूͤ͞ɼ͔ͭ࠷దͱͳΔΑ͏ͳਖ਼ͷ e

1

͕ଘࡏ͢Δ͜ͱΛࣔ͢͜ͱ͕Ͱ͖Δɽ e ͕Α Γେ͖͘ɼ e

1

< e < e

2

ͷ৔߹ʹ͸ɼ SB ܖ໿Λఏࣔ͞Εͨاۀ͸৘ใΛऩू͠ͳ͍ɽΑͬͯɼ

΋͠৘ใΛऩूͤ͞ΔͷͰ͋Ε͹ɼमਖ਼͞Εͨ SB ܖ໿Λఏࣔ͢Δ͜ͱͱͳΔɽ·ͨɼ e ͕ඇ

ͱཱূՄೳͳ৘ใͰ͋Δ hard information ʹؔͯ͠͸ɼLaffont and Tiroleʢ1993, Chapter 14ʣΛࢀরɽ

4

৴༻ׂ౰ʹؔ͢Δ୅දతͳݚڀͱͯ͠͸ɼ Jaffee and Modigliani ʢ 1969 ʣ ɼ Smith ʢ 1972 ʣ ɼ Jaffee and Russell ʢ1976ʣ ɼ Keaton ʢ1979ʣ ɼ Fried and Howitt ʢ1980ʣ ɼ Stiglitz and Weiss ʢ1981ʣ ɼ Blackwell and Santomero ʢ 1982 ʣ ɼ Bester ʢ 1985 ʣ ɼ De Meza and Webb ʢ 1987 ʣΛڍ͛Δ͜ͱ͕Ͱ͖Δɽ·ͨɼ৴༻ׂ౰ʹؔ͢Δαʔ

ϕΠͱͯ͠͸ɼJaffee and Stiglitzʢ1990ʣ͓Αͼ Freixas and Rochetʢ1997, Chapter 5ʣΛࢀরɽ

5

ੜ࢈త৘ใऩूͱઓུత৘ใऩूʹ͍ͭͯ͸ɼҏ౻ʢ 2003 ɼୈ 2 ষʣ΋ࢀরɽ

(4)

ৗʹେ͖͘ɼ e e

3

ͷ৔߹ʹ͸ɼۜߦ͸اۀʹରͯ͠ɼ৘ใΛऩूͤͣ͞ɼฏۉతͳλΠϓʹ Ԡͨ͡ʢͭ·ΓλΠϓ͔Β͸ಠཱͳʣआೖܾఆΛଅ͠ɼ͔ͭɼϨϯτΛ࢒͞ͳ͍ܖ໿ʢ͜ΕΛ

ࣄલޮ཰తܖ໿ͱݺͿʣΛఏࣔ͢Δɽ e ͕ΑΓখ͘͞ɼ e

2

< e < e

3

ͷ৔߹ʹ͸ɼࣄલޮ཰తܖ

໿Λఏࣔ͞Εͨاۀ͸৘ใΛऩू͢ΔɽΑͬͯɼ΋͠৘ใΛऩूͤ͞ͳ͍ͷͰ͋Ε͹ɼमਖ਼͞

Εͨܖ໿͕ఏࣔ͞ΕΔ͜ͱͱͳΔɽ͜ͷमਖ਼͸ɼاۀʹΑΓগͳֹ͍ۚΛआೖΕͤ͞ɼ͔͠΋

৔߹ʹΑͬͯ͸ϨϯτΛ࢒͢ͱ͍͏ܗͰͳ͞ΕΔɽ

ຊߘͷߏ੒͸ɼҎԼͷ௨ΓͰ͋Δɽ·ͣୈ 2 અͰɼϞσϧͷجຊతͳઃఆΛઆ໌͢Δɽ͍࣍

Ͱୈ 3 અͰ͸ɼ৘ใऩू͕๬·͍͠ͱԾఆ্ͨ͠Ͱɼ৘ใΛऩूͤ͞Δ࠷దܖ໿Λಛ௃෇͚Δɽ ٯʹୈ 4 અͰ͸ɼ৘ใऩू͕๬·͘͠ͳ͍ͱԾఆ্ͨ͠Ͱɼ৘ใΛऩूͤ͞ͳ͍࠷దܖ໿Λಛ

௃෇͚Δɽ͞Βʹୈ 5 અͰ͸ɼୈ 3 અͱୈ 4 અͷ෼ੳ݁ՌΛ૊Έ߹ͤΔ͜ͱʹΑΓɼ࠷దܖ໿

Λ৘ใऩूίετ e ͷؔ਺ͱܾͯ͠ఆ͢Δɽ࠷ޙʹୈ 6 અͰ͸ɼຊߘͷ෼ੳΛ௨ͯ͠ಘΒΕͨ

ओཁͳ݁ՌΛཁ໿͢Δɽ

2 Ϟσϧͷجຊతઃఆ

ຊߘͰ͸ɼӉዳʢ 2013 ʣͷϞσϧʹاۀͷ৘ใऩूܾఆΛಋೖ͢Δɽ

2.1 ۜߦͱاۀͷߦಈ

λΠϓۭؒ͸ Θ = [θ

0

, θ

1

] ɼ 0 < θ

0

< θ

1

ͱ͍͏࣮਺ू߹্ͷด۠ؒͱԾఆ͢Δɽاۀͷޮ

༻ؔ਺͔Β໌Β͔ʹͳΔΑ͏ʹɼλΠϓ θ

0

ͷاۀ͕ʮ࠷΋ඇޮ཰తʯͳاۀͰ͋Γɼ θ ͷ஋͕

େ͖͍اۀ΄Ͳ૬ରతʹޮ཰తͳاۀͰ͋Δɽ౰ॳɼۜߦ΋اۀ΋ڞʹ θ ͷ஋Λ஌Βͳ͍͕ɼ

͔͠͠ Θ ্ͷ֬཰෼෍ؔ਺ F(θ) ͸྆ऀͷڞ༗஌ࣝͰ͋Δɽ F (θ) ͸֬཰ີ౓ؔ਺ f (θ) Λ࣋

ͪɼ f (θ) ͸ඍ෼ՄೳͰ೚ҙͷ θ Θ ʹରͯ͠ f (θ) > 0 ΛԾఆ͢ΔɽຊߘͰ͸ɼ͢΂ͯͷظ଴

E[ · ] ͸ F ʹؔͯ͠ͱΒΕΔɽ

اۀ͕બ୒͢Δआೖܾఆ l L = [ 0, ˜ l ] ͸ཱূՄೳͰɼۜߦ͸ࢦఆֹͨۚ͠ΛआΓೖΕͨ

اۀ͔Βݩར߹ܭֹ r Λ௃ऩ͢Δ

6

ɽۜߦͷޮ༻͸ V (l, r) = r c(l) ɼλΠϓ θ ͷاۀͷޮ

༻͸ U (l, r, θ) = θl r Ͱ༩͑ΒΕΔɽ͜͜Ͱɼۜߦͷඅ༻ؔ਺ c( · ) ͸ 2 ճ࿈ଓඍ෼ՄೳͰɼ c(0) = 0 ɼ೚ҙͷ l < ˜ l ʹରͯ͠ c

(l) > 0 ɼ c

(0) = 1 + i M /(1 κ) ɼ c

( ˜ l ) = + ɼ͓Αͼ೚

ҙͷ l L ʹରͯ͠ c

′′

(l) > 0 ΛԾఆ͢Δ

7

ɽͳ͓ɼ i M ͸ࢢ৔རࢠ཰ɼ κ ͸ۜߦͷࢧ෷४උ཰

Ͱ͋Δʢ 0 < κ < 1 ʣ ɽ

ຊߘͷϞσϧͰ͸ɼۜߦͷޮ༻ؔ਺ͱاۀͷޮ༻ؔ਺͸͍ͣΕ΋४ઢܗؔ਺Ͱ͋ΔͱԾఆ͠

6

˜ l ͸ɼۜߦͷઃఆ͢Δ࠷େՄೳି෇ֹͰ͋ΔͱղऍͰ͖Δɽ

7

අ༻ؔ਺ c(·) ʹؔ͢Δৄࡉ͸ɼӉዳʢ 2013 ʣୈ 1 ষΛࢀরɽ

(5)

͓ͯΓɼۜߦ΋اۀ΋ڞʹϦεΫதཱతͰ͋Δɽ྆ऀͷ՟ฎʹର͢Δݶքޮ༻͸ҰఆͰ͔ͭ౳

͍͠ͷͰɼ૯༨৒͸྆ऀͷؒͰड౉͠͞ΕΔݩར߹ܭֹʢҠసֹʣʹ͸ґଘ͠ͳ͍ɽ·ͨɼۜ

ߦͱاۀͷཹอޮ༻͸͍ͣΕ΋֎ੜతʹ༩͑ΒΕɼڞʹθϩͱԾఆ͢Δ

8

ɽ

͞Βʹɼ࣍ͷೋͭͷ৚݅ΛԾఆ͢Δɽୈ 1 ͷ৚݅͸ඪ४తͳԾఆͰ͋Γɼ d

( 1 F(θ) f (θ)

)

0, θ Θ (1)

Ͱ͋Δɽ͜Ε͸ʮ୯ௐةݥ཰৚݅ʯ ʢ monotone hazard rate condition ʣͱݺ͹ΕΔ

9

ɽଞํɼ

ୈ 2 ͷ৚݅͸ɼ

θ

0

1

f

0

) > c

(0) (2)

Ͱ͋Γɼ͜Ε͸৚݅ (1) ͷԼͰϞσϧͷ࠷దղ͕಺఺ղͱͳΔͨΊͷ৚݅Ͱ͋Δɽ͜ͷ৚݅͸ɼ ࢢ৔རࢠ཰ i M ͕௿͍΄Ͳɼ͋Δ͍͸ۜߦͷࢧ෷४උ཰ κ ͕௿͍΄Ͳɼຬͨ͞ΕΔՄೳੑ͕ߴ

·Δ

10

ɽ

͍·ɼԾʹاۀͷλΠϓ͕ۜߦʹ΋اۀʹ΋஌ΒΕ͍ͯΔ΋ͷͱ͠Α͏ɽͦ͏͢ΔͱɼϑΝʔ ετϕετʢ first-best; FB ʣͷआೖֹ l f b (θ) ͸࣍ࣜΛຬͨ͢

11

ɽ

θ = c

(l f b (θ)), θ Θ (3)

2.2 ৘ใߏ଄

ۜߦ͕ܖ໿Λఏࣔͨ͠ޙɼܖ໿Λక݁͢Δ͔Ͳ͏͔Λܾఆ͢Δલʹاۀ͸ɼࣗ෼ͷλΠϓʹ

͍ͭͯ৘ใऩूΛߦ͏͜ͱ͕Ͱ͖Δɽ৘ใऩू͢Δ৔߹ʹ͸اۀ͸ίετ e > 0 Λࢧग़͠ͳ͚

Ε͹ͳΒͳ͍͕ɼͦͷ݁Ռࣗ෼ͷλΠϓΛ௚ͪʹ஌Δ͜ͱ͕Ͱ͖Δɽଞํɼ৘ใऩू͠ͳ͔ͬ

ͨ৔߹ʹ͸ίετ͸͔͔Βͳ͍͕ɼ͔ࣗ͠͠෼ͷλΠϓΛ஌Βͣʹܖ໿Λड͚ೖΕΔ͔Ͳ͏͔

Λܾఆ͠ͳ͚Ε͹ͳΒͳ͍ɽ͜ͷ৘ใऩू͸ۜߦʹ͸؍࡯ෆՄೳͱԾఆ͢ΔɽҙࢥܾఆͷλΠ ϛϯά͸ҎԼͷ௨ΓͰ͋Δɽ

1. ۜߦ͕اۀʹܖ໿Λఏࣔ͢Δɽ

2. اۀ͕ίετ e Λ͔͚ͯࣗ෼ͷλΠϓΛ؍࡯͢Δ͔Ͳ͏͔Λܾఆ͢Δɽ΋͠؍࡯͢Δͷ Ͱ͋Ε͹ɼاۀ͸ਅͷλΠϓΛ஌Δʢ e ͸ۜߦͱاۀͷ྆ऀʹͱͬͯط஌ͱͳΔʣ ɽ΋͠

͜ͷ࣌఺Ͱ؍࡯͠ͳ͍ͷͰ͋Ε͹ɼاۀ͸ೋ౓ͱ৘ใऩूΛߦΘͳ͍ɽ

8

ۜߦͷཹอޮ༻ʢͭ·Γޮ༻ͷ֎෦ػձਫ४ʣ͸ɼۜߦͷόϥϯεγʔτ੍໿Λ௨ͯۜ͡ߦͷඅ༻ؔ਺ c( · ) ʹ

͢΂ͯ൓ө͞Ε͍ͯΔɽ

9

͜ͷ৚݅ʹؔͯ͠͸ɼӉዳʢ2013ʣ ɼBolton and Dewatripontʢ2005, Chapter 2ʣ͓Αͼҏ౻ʢ2003ɼୈ 1 ষʣΛࢀরɽ

10

͜ͷ৚݅ʹؔͯ͠͸ɼӉዳʢ2013ʣΛࢀরɽ

11

͜ͷ఺ʹؔ͢Δৄࡉʹ͍ͭͯ΋ɼӉዳʢ 2013 ʣΛࢀরɽ

(6)

3. اۀ͸ۜߦͷܖ໿Λड͚ೖΕΔ͔Ͳ͏͔Λܾఆ͢Δɽاۀ͕ܖ໿Λड͚ೖΕͳ͍৔߹ʹ

͸ɼήʔϜ͸ऴྃ͢Δɽاۀ͕ܖ໿Λड͚ೖΕͨ৔߹ʹ͸ɼ࣍ͷεςʔδʹਐΉɽ 4. اۀ͸आೖֹ l Λબͼɼܖ໿Ͱࢦఆ͞Εͨฦࡁֹ r Λࢧ෷͏ɽ

2.3 ܖ໿ͷ࣮ߦՄೳू߹

ۜߦ͸ܖ໿Λ௨ͯ͡اۀʹ৘ใΛऩूͤ͞Δ͜ͱ΋͋Ε͹ɼͦ͏Ͱͳ͍͜ͱ΋͋Δɽ΋ۜ͠

ߦ͕اۀʹ৘ใΛऩूͤ͞ΔͷͰ͋Ε͹ɼاۀʹΑΔआೖֹͷܾఆ͸ਅͷλΠϓ θ Λ൓өͨ͠

ޮ཰తͳܾఆͱͳΔՄೳੑ͕͋Δɽ͢ͳΘͪɼ৘ใΛऩूͤ͞ΔͷͰ͋Ε͹ɼද໌ݪཧΑΓɼ

ۜߦ͸اۀʹ θ ͷ஋Λਃࠂͤ͞ɼआೖֹͱฦࡁֹΛ͜ͷਃࠂʹج͔ͮͤΔͷ͕࠷దͱͳΔ

12

ɽ

͞ΒʹҎԼͰ͸෼ੳΛਐΊΔ্Ͱͷศ্ٓɼ՝੫ݪཧʢ taxation principle ʣΛԉ༻͠ɼ༠Ҽ྆

ཱతͳ௚઀ද໌ϝΧχζϜͷ୅ΓʹɼฦࡁֹΛआೖֹʹ݁ͼ͚ͭΔʮεέδϡʔϧʯ R i (l) Λ

ۜߦ͕اۀʹఏࣔ͢ΔͱԾఆ͢Δ

13

ɽ

Ұํɼ΋ۜ͠ߦ͕اۀʹ৘ใΛऩूͤ͞ͳ͍ͷͰ͋Ε͹ɼاۀʹΑΔआೖֹͷܾఆ͸ਅͷλ Πϓ θ Λ஌ΒͣʹߦΘΕΔͨΊ θ ͔Β͸ಠཱʹͳΓɼΑͬͯۜߦ͕اۀʹఏࣔ͢Δܖ໿͸ɼ୯ ҰͷआೖֹͱฦࡁֹΛࢦఆ͢ΔϖΞ (l, r) ͱ͍͏ܗࣜΛͱΔɽ

Ҏ্ͷܖ໿͸͍ͣΕ΋ɼ࣍ͷҙຯͰ༠Ҽཱ྆తͰͳ͚Ε͹ͳΒͳ͍ɽ͢ͳΘͪɼاۀ͸ɼ R i (l) ͕ఏࣔ͞Εͨͱ͖ʹ͸৘ใΛऩू͢Δ͜ͱΛબ୒͢΂͖Ͱ͋Γɼଞํɼ (l, r) ͕ఏࣔ͞Ε

ͨͱ͖ʹ͸৘ใΛऩू͠ͳ͍͜ͱΛબ୒͢΂͖Ͱ͋Δɻ·ͨɼاۀ͕ೋͭͷબ୒ͷؒͰແࠩผ Ͱ͋Δͱ͖ʹ͸ɼۜߦͷબ޷ʹैͬͯબ୒͢ΔͱԾఆ͢Δɽ

اۀ͕৘ใΛऩू͢ΔͷͰ͋Ε͹ɼ θ Λ஌ͬͨޙʹआೖֹΛબ୒͢Δɽ͜ͷͱ͖ͷआೖܾఆ l(θ) ͱؒ઀ޮ༻ U i (θ) ͸࣍ͷΑ͏ʹ༩͑ΒΕΔɽ

l(θ) arg max

l

L (θl R i (l)) U i (θ) max

l∈L (θl R i (l)) (4)

ଞํɼاۀ͕৘ใΛऩू͠ͳ͍ͷͰ͋Ε͹ɼاۀͷظ଴ޮ༻͸࣍ࣜͰ༩͑ΒΕΔɽ

U u E[θl r] = θ m l r (5)

ͨͩ͠ɼ θ m ͸ θ ͷظ଴஋Ͱ͋Γɼ࣍ࣜͰఆٛ͞ΕΔɽ

θ m E(θ) =

θ

1

θ

0

θf(θ)dθ

12

͜ͷ఺ʹؔ͢Δৄࡉͳ෼ੳʹ͍ͭͯ͸ɼӉዳʢ2013ʣΛࢀরɽ

13

՝੫ݪཧͱ͸ɼλΠϓۭؒ Θ ͕࿈ଓͳΒ͹ɼ༠Ҽཱ྆తͳ௚઀ද໌ϝΧχζϜ (l(θ), r(θ)) ʹରͯ͠ɼͦΕͱ ಉ͡഑෼Λ࣮ݱ͢Δඇઢܗࢧ෷εέδϡʔϧ R

i

(l) = r(l

1

(l)) ͕ଘࡏ͢Δɼͱ͍͏ཧ࿦Ͱ͋Δɽ՝੫ݪཧʹ

ؔͯ͠͸ɼҏ౻ʢ 2003 ɼୈ 8 ষʣ ɼ Guesnerie ʢ 1981 ʣΛࢀরɽ

(7)

࣍ʹɼاۀͷࢀՃ੍໿Λ໌Β͔ʹ͠Α͏ɽԾఆΑΓɼاۀͷཹอޮ༻͸֎ੜతʹθϩͰ͋Δɽ ΑͬͯɼࢀՃ੍໿͸ɼ৘ใΛऩूͤ͞Δͱ͖ʹ͸

U i (θ) 0, θ Θ (PCI)

ͱͳΓɼଞํɼ৘ใΛऩूͤ͞ͳ͍ͱ͖ʹ͸

U u 0 (PCU)

ͱͳΔɽ

͜͜Ͱɼ৘ใऩूʹؔ͢Δ༠Ҽ੍ཱ྆໿Λಋೖ͠Α͏ɽ·ͣɼاۀ͕εέδϡʔϧ R i (l) Λఏࣔ͞ΕΔέʔε͔Βߟ࡯͢Δɽ͜ͷͱ͖ɼاۀͷظ଴ޮ༻͸ɼاۀ͕৘ใΛऩू͢

ΔͷͰ͋Ε͹ɼ (4) ΑΓ E[U i (θ)] ͱͳΔɽଞํɼ৘ใΛऩू͠ͳ͍ͷͰ͋Ε͹ɼ (5) ΑΓ E[θl R i (l)] = θ m l R i (l) ͱͳΔ͜ͱ͔Βɼ͜ͷظ଴ޮ༻Λ࠷େʹ͢Δआೖֹ l Λاۀ͸બ

୒͢Δɽ͜ͷआೖֹ͸ɼ (4) ΑΓ l(θ m ) ʹ౳͘͠ͳΓɼظ଴ޮ༻͸ U im ) ͱͳΔɽ͕ͨͬ͠

ͯɼاۀ͸ɼ

E[U i (θ)] U im ) e (ICI)

͕੒ΓཱͭͳΒ͹ɼ৘ใऩू͢Δ͜ͱΛબ୒͢Δɽ

࣍ʹɼاۀ͕୯ҰͷआೖֹͱฦࡁֹͷϖΞ (l, r) Λఏࣔ͞ΕΔέʔεΛߟ࡯͢Δɽ͜ͷͱ͖ɼ

৘ใΛऩू͢ΔͷͰ͋Ε͹ɼ θl r < 0 ͱͳΔλΠϓͷاۀ͸ܖ໿Λड͚ೖΕͳ͍͜ͱ͔Βɼ اۀͷظ଴ޮ༻͸ E[max(θl r, 0)] ͱͳΔɽଞํɼ৘ใΛऩू͠ͳ͍ͷͰ͋Ε͹ɼاۀͷظ଴

ޮ༻͸ (5) Ͱ༩͑ΒΕ͍ͯΔɽΑͬͯɼاۀ͸ɼ

E[max(θl r, 0)] U u e (ICU)

͕੒ΓཱͭͳΒ͹ɼͭ·Γɼ৘ใͷՁ஋͕ͦͷऩूίετ e Λ্ճΒͳ͚Ε͹ɼ৘ใऩू͠ͳ

͍͜ͱΛબ୒͢Δɽ

3 ৘ใΛऩूͤ͞Δܖ໿

ຊઅͰ͸ɼاۀʹ৘ใΛऩू͍ͤͨۜ͞ߦ͕ఏࣔ͢Δܖ໿Λಛ௃෇͚Δɽޙʹূ໌͞ΕΔΑ

͏ʹɼ͜ͷܖ໿͸৘ใऩूίετ e ͕খ͍͞ͱ͖ʹ࠷దͱͳΔɽ e ͕ඇৗʹখ͍͞৔߹ʹ͸ɼ SB ܖ໿͕࠷దͱͳΓɼ͔ͭاۀͷ৘ใऩूΛ΋ͨΒ͢ɽ͔͠͠ɼ e ͕େ͖͘ͳΔͱɼ࠷దܖ໿

͸ SB ܖ໿͔Β֎Εͯ͠·͏ɽ

ۜߦͷ໰୊Λઃఆ͢Δʹ͸ɼؒ઀ޮ༻ؔ਺ U i (θ) ͱआೖؔ਺ l(θ) Λ༻͍ͯ෼ੳ͢Δͷ͕ศར Ͱ͋Δɽ͜ΕΒΛ༻͍Δͱɼฦࡁֹ͸࣍ࣜΛ༻͍ͯٻΊΒΕΔɽ

R i (l(θ)) = θl(θ) U i (θ)

(8)

Αͬͯɼۜߦͷظ଴ޮ༻͸࣍ͷΑ͏ʹද͞ΕΔɽ

E[θl(θ) U i (θ) c(l(θ))]

՝੫ݪཧΑΓɼλΠϓۭؒ Θ ͕࿈ଓͳΒ͹ɼ༠Ҽཱ྆తͳ௚઀ද໌ϝΧχζϜ ν = (l(θ), r(θ)) ʹରͯ͠ɼͦΕͱಉ͡഑෼Λ࣮ݱ͢Δඇઢܗࢧ෷εέδϡʔϧ R i (l) ͕ଘࡏ͢Δɽ͜͜ͰɼӉ ዳʢ 2013 ʣΑΓɼ ν ͕༠Ҽཱ྆తͱͳΔͨΊͷඞཁे෼৚݅͸ɼ࣍ͷೋͭҰ૊ͷ৚݅Ͱ༩͑Β ΕΔ

14

ɽҰͭ͸ɼ୯ௐੑ৚݅ʢ the condition of monotonicity ʣ

dl

(θ) 0, θ Θ (M)

Ͱ͋Γɼ͍·Ұͭ͸ɼแབྷઢ৚݅ʢ the envelope condition ʣ dU i

(θ) = l(θ), θ Θ (EC)

Ͱ͋Δɽ͜ΕΒ 2 ৚͕݅ຬͨ͞ΕΔͳΒ͹ࢧ෷εέδϡʔϧ R i (l) ͕ଘࡏ͠ɼ l = l(θ) ʹର͠

ͯ (4) ͕ຬͨ͞ΕΔɽҎԼͰ͸ɼ৚݅ (M) ɾ (EC) ΛԾఆͯ͠෼ੳΛਐΊΑ͏ɽ

͜͜Ͱɼ U i ( · ) ͕࿈ଓඍ෼ՄೳͰ͋Δ͔Βɼ (EC) ͷ྆ลͷੵ෼Λͱͬͯ΋౳߸͕੒ཱ͠ɼ࣍

ࣜΛಘΔɽ

U i (θ) = U i

0

) +

θ θ

0

l(s)ds, θ Θ (EC’)

͞Βʹɼ৚݅ (EC’) Λ༻͍ͯ෦෼ੵ෼Λ࣮ߦ͢Δͱ͕࣍ࣜಘΒΕΔɽ

E[U i (θ)] = U i

0

) +

θ

1

θ

0

l(θ)[1 F (θ)]dθ (EC”)

ͦ͜Ͱɼ৚݅ (EC’) ɾ (EC”) Λ༻͍ͯ৘ใऩू੍໿ (ICI) Λॻ͖௚ͤ͹࣍ࣜΛಘΔɽ

θ

1

θ

0

l(θ)[1l θ>θ

m

F(θ)]dθ e (ICI’)

͜͜Ͱɼ 1l

͸ɼ໋୊ ͕ਅͳΒ͹ 1 ɼِͳΒ͹ 0 ʹ౳͍͠ɽ

Ҏ্ͷ෼ੳΑΓɼۜߦͷ௚໘͢Δ໰୊͸ɼ࣍ͷ੍໿෇͖࠷େԽ໰୊ͱͯ͠ఆࣜԽͰ͖Δɽ

໰୊ʢ P I ʣ

max l(

·)

E[θl(θ) U i (θ) c(l(θ))] (6)

subject to dl

(θ) 0, θ Θ (M)

14

ຊߘͰ͸ɼӉዳʢ 2013 ʣͷؒ઀ޮ༻ؔ਺ U(l(θ), r(θ), θ) Λ U

i

(θ) ͱදه͍ͯ͠Δɽ

(9)

E[U i (θ)] = U i

0

) +

θ

1

θ

0

l(θ)[1 F (θ)]dθ (EC”)

U i (θ) 0, θ Θ (PCI)

θ

1

θ

0

l(θ)[1l θ>θ

m

F(θ)]dθ e (ICI’)

ҎԼͰ͸ɼӉዳʢ 2013 ʣͱಉ͡खॱʹैͬͯ໰୊ʢ P I ʣΛղ͘͜ͱʹ͠Α͏ɽ·ͣɼ (EC) Α Γɼۜߦ͕ͲͷλΠϓͱ΋ܖ໿Λ݁ͼ༥ࢿΛߦ͏ݶΓ U i ( · ) ͸ݫີͳ૿Ճؔ਺ͱͳΔ͜ͱ͔Βɼ (PCI) ͸

U i

0

) 0 (PCI’)

ʹஔ͖׵͑ΒΕΔɽ࣍ʹɼ໨తؔ਺ (6) ͷ U i (θ) ͸ɼ (EC”) Λ༻͍ͯফڈͰ͖Δɽͦ͏͢Δ ͱɼ໰୊ʢ P I ʣ͸࣍ͷΑ͏ʹॻ͖׵͑ΒΕΔɽ

໰୊ʢ P I

ʣ

max l(

·)

E [

θl(θ) c(l(θ)) 1 F (θ) f (θ) l(θ)

]

U i

0

) (7) subject to

dl

(θ) 0, θ Θ (M)

U i

0

) 0 (PCI’)

θ

1

θ

0

l(θ)[1l θ>θ

m

F (θ)]dθ e (ICI’)

͜ͷ໰୊ͷղ͸ɼ໌Β͔ʹࢀՃ੍໿ (PCI’) Λ౳߸Ͱຬͨ͢ɽ͔ͯ͘͠ɼۜߦͷ໰୊͸࣍ͷΑ

͏ʹॻ͖௚͞ΕΔɽ

໰୊ʢ P

I

ʣ

max l(

·)

E [

θl(θ) c(l(θ)) 1 F (θ) f (θ) l(θ)

]

(8) subject to

dl

(θ) 0, θ Θ (M)

θ

1

θ

0

l(θ)[1l θ>θ

m

F(θ)]dθ e (ICI’)

(10)

໰୊ʢ P

I

ʣ͸ɼෆ౳ࣜੵ෼੍໿ (ICI’) ͱ୯ௐੑ৚݅ (M) ͷ੍໿ͷԼͰ໨తؔ਺Λ࠷େԽ͢Δ

໰୊Ͱ͋Δɽͦ͜Ͱ·ͣ৚݅ (M) Λແࢹͯ͠໰୊Λղ͖ɼ͍࣍Ͱ͜ͷ৚͕݅ຬͨ͞ΕΔͨΊͷ

৚݅Λ໌Β͔ʹ͢Δͱ͍͏खॱͰ෼ੳΛਐΊΑ͏ɽ࣍ͷΑ͏ͳؔ਺Λఆٛ͢Δɽ

Γ(θ) =

θ θ

0

l(s)[1l s>θ

m

F(s)]ds (9)

ͨͩ͠ɼ

Γ(θ

0

) = 0, Γ(θ

1

) e (10)

Ͱ͋Δɽ͜͜Ͱɼ (9) ΑΓ࣍ࣜΛಘΔɽ

Γ

(θ) = l(θ)[1l θ>θ

m

F (θ)] (11) Αͬͯɼ໰୊ʢ P

I

ʣ͸࣍ͷΑ͏ʹॻ͖௚ͯ͠΋ಉ஋Ͱ͋Δɽ

໰୊ʢ P

I

ʣ

max l(

·)

θ

1

θ

0

[

θl(θ) c(l(θ)) 1 F (θ) f (θ) l(θ)

]

f (θ)dθ (12)

subject to dl

(θ) 0, θ Θ (M)

Γ

(θ) = l(θ)[1l θ>θ

m

F (θ)], θ Θ Γ(θ

0

) = 0, Γ(θ

1

) e

͜ͷ໰୊Λղͨ͘Ίʹɼϥάϥϯδϡؔ਺Λ࣍ͷΑ͏ʹද͢ɽ

L = [

θl(θ) c(l(θ)) 1 F(θ) f (θ) l(θ)

]

f (θ) + λ(θ) { l(θ)[1l θ>θ

m

F (θ)] Γ

(θ) } (13)

ͦ͏͢Δͱɼ࠷େԽͷҰ֊৚݅͸࣍ͷΑ͏ʹٻΊΒΕΔɽ

L l d L l

=

[

θ c

(l(θ)) 1 F (θ) f(θ)

]

f (θ) + λ(θ)[1l θ>θ

m

F (θ)] = 0, θ Θ (14)

L

Γ

d

L

Γ

= d

λ(θ) = 0, θ Θ (15)

[L

Γ

] θ=θ

1

= λ(θ

1

) 0, Γ(θ

1

) e, [Γ(θ

1

) e][L

Γ

] θ=θ

1

= 0 (16)

ͨͩ͠ɼ L x = ∂L /∂x Ͱ͋Δɽ (15) ΑΓ λ(θ) ͸ θ ͔ΒಠཱͰ͋Δͱ͍͏ҙຯͰఆ਺Ͱ͋Δ

͜ͱʹ஫ҙ͢Ε͹ɼҰ֊৚݅͸࣍ͷΑ͏ʹཁ໿Ͱ͖Δɽ

θ = c

(l(θ)) + 1 F (θ) f (θ) λ

f (θ) [1l θ>θ

m

F (θ)], θ Θ (17)

(11)

λ 0 ʢ λ ͸ఆ਺ʣ , Γ(θ

1

) e, λ[Γ(θ

1

) e] = 0 (18)

͕ͨͬͯ͠ɼ৘ใऩू੍໿ (ICI’) ͕༗ޮͰͳ͍৔߹ʹ͸ɼ໰୊ʢ P

I

ʣ͸Ӊዳʢ 2013 ʣͷ໰୊

ʢ P’ ʣʹؼண͢Δɽͦ͜ͰຊߘͰ͸ɼޙऀͷ໰୊ʢ P’ ʣͷ࠷దղΛηΧϯυϕετʢ second-best;

SB ʣܖ໿ͱݺͿ͜ͱʹ͠Α͏ɽҎԼͰ͸ɼ৘ใऩू੍໿ (ICI’) ͕༗ޮͰͳ͍ʢ λ = 0 ʣ৔߹ͱ

༗ޮͳʢ λ > 0 ʣ৔߹ͱʹ͍ͭͯɼॱʹ෼ੳΛਐΊΔɽ

3.1 ৘ใऩू੍໿ (ICI’) ͕༗ޮͰͳ͍৔߹ͷܖ໿ɿ SB ܖ໿

͜ͷ߲Ͱ͸ɼ SB ܖ໿͕ e [0, e

1

] ʹରͯ͠৘ใऩू੍໿ (ICI’) Λݫີͳෆ౳߸Ͱຬͨ͢Α

͏ͳ e

1

ͷଘࡏΛ໌Β͔ʹ͢Δͱڞʹɼ SB ܖ໿͕ e [0, e

1

] ʹରͯ͠࠷దͱͳΔ͜ͱΛࣔ͢ɽ

৘ใऩू੍໿ (ICI’) ͕༗ޮͰͳ͍৔߹ʹ͸ λ = 0 Ͱ͋Δ͔Βɼ࠷େԽͷҰ֊৚݅͸ (17) Α Γ࣍ࣜͰ༩͑ΒΕΔɽ

θ = c

(l sb (θ)) + 1 F (θ)

f (θ) , θ Θ (19)

Ծఆ c

′′

(l) > 0 ΑΓ໨తؔ਺ (8) ͷඇੵ෼ؔ਺͕ݫີͳԜؔ਺ͱͳΔ͜ͱ͔Βɼೋ֊৚͕݅ຬ

ͨ͞ΕΔͱڞʹɼ࠷దղ͸Ұҙʹఆ·Δɽ·ͨɼԾఆʹΑΓ৚݅ (2) ͕ຬͨ͞ΕΔͨΊɼ࠷ద ղ͸಺఺ղͱͳΔɽ͞ΒʹɼԾఆʹΑΓ୯ௐةݥ཰৚݅ (1) ͕ຬͨ͞ΕΔͨΊɼ࠷దͳ l sb (θ)

͸ θ ͷݫີͳ૿Ճؔ਺ͱͳΔ͜ͱ͔Βɼ୯ௐੑ৚݅ (M) ΋ຬͨ͞ΕΔ

15

ɽ

࠷దղʹ͓͍ͯ͸ U i

0

) = 0 Ͱ͋Δ͔Βɼแབྷઢ৚݅ (EC’) ΑΓɼλΠϓ θ ͷ৘ใϨϯτ

͸࣍ͷΑ͏ʹͳΔɽ

U sb (θ) =

θ θ

0

l sb (s)ds (20)

͢ͳΘͪɼ࠷΋ඇޮ཰తͳλΠϓ θ

0

͸ཹอޮ༻ʢθϩʣʹ౳͍͠ޮ༻ΛಘΔʹա͗ͳ͍͕ɼ͠

͔͠ɼ θ

0

Ҏ֎ͷاۀ͸ཹอޮ༻Λ্ճΔ৘ใϨϯτΛ֫ಘ͠ɼ͔͠΋ɼ͜ͷϨϯτ͸ࣗ෼ΑΓ ඇޮ཰తͳλΠϓͷआೖֹʹؔ͢Δ૿Ճؔ਺Ͱ͋Δɽ θ

0

Ҏ֎ͷاۀʹਖ਼௚ʹࣗ෼ͷλΠϓΛਃ

ࠂͤ͞ΔͨΊʹ͸ϨϯτΛ࢒͟͞ΔΛಘͳ͍͕ɼͦͷϨϯτΛઅ໿͢ΔͨΊʹɼλΠϓ θ

1

Λ আ͘λΠϓͷआೖֹ͕ͦͷϑΝʔετϕετͷਫ४ʹൺͯ͠աগͱͳΔ͜ͱΛ (19) ͸ࣔͯ͠

͍ΔͷͰ͋Δɽ͔ͯ͘͠ɼआೖֹͷେ͖͞ʹԠͯ͡اۀΛεΫϦʔχϯά͢Δ͜ͱ͸ɼ࠷΋ޮ

཰తͳλΠϓ θ

1

Ҏ֎ͷاۀʹର͢ΔҰछͷ৴༻ׂ౰ͱͳΔ

16

ɽ

l sb (θ) ͸ θ ͷݫີͳ૿Ճؔ਺Ͱ͋Δ͔Β U sb (θ) ͸ݫີͳತؔ਺ͱͳΓɼ͕ͨͬͯ͠ΠΣϯ ηϯͷෆ౳ࣜʢ Jensen’s inequality ʣ͕࣍ͷΑ͏ʹ੒ཱ͢Δɽ

e

1

E[U sb (θ)] U sbm ) > 0

15

͜ͷ఺ʹؔ͢Δৄࡉͳ෼ੳʹ͍ͭͯ͸ɼӉዳʢ2013ʣΛࢀরɽ

16

͜ͷ఺ʹؔ͢Δৄࡉͳ෼ੳʹ͍ͭͯ΋ɼӉዳʢ 2013 ʣΛࢀরɽ

(12)

͕ͨͬͯ͠ɼ೚ҙͷ e [0, e

1

] ʹରͯ͠৘ใऩू੍໿ (ICI) ɼͦͯͦ͠Εނɼ (ICI’) ͸ݫີͳ ෆ౳߸Ͱ੒ཱ͢Δɽ

ิ୊ 1 ɿ 0 e e

1

ͷ৔߹ɼ SB ܖ໿͸৘ใΛऩूͤ͞Δܖ໿ʹؚ·Εɼ͔ͭ࠷దͰ͋Δɽ ͲͷλΠϓͷϨϯτ΋ඇෛͰ͋Δ͔Βɼاۀ͕৘ใΛऩू͢Δͷ͸ʮࣄޙʯͷଛࣦΛڪΕͯ

ͷ͜ͱͰ͸ͳ͍ɽاۀ͸ɼೖखͨ͠৘ใΛ༻͍ͯඇޮ཰తͳλΠϓͷ;ΓΛ͢Δ͜ͱʹΑͬͯ

རӹΛಘΒΕΔΑ͏ʹͳΔͷͰ৘ใΛऩू͢ΔͷͰ͋Δɽ

3.2 ৘ใऩू੍໿ (ICI’) ͕༗ޮͳ৔߹ͷܖ໿ɿमਖ਼͞Εͨ SB ܖ໿

e > e

1

ͷ৔߹ʹ͸ɼϥάϥϯδϡ৐਺͸ਖ਼ͷఆ਺ʢ λ > 0 ʣͱͳΓɼแབྷઢఆཧΑΓɼ λ ͸ɼ

৘ใऩूίετ e ͕ݶքతʹ૿Ճ͢Δ͜ͱ͔Βੜ͡ΔۜߦͷϖΠΦϑͷݶքతͳݮগʹ౳͠

͍ɽ͜͜ͰϖΠΦϑؔ਺ͱ͸ɼ࠷దղͰධՁ͞Εͨ໨తؔ਺ͷ࠷େ஋ؔ਺Ͱ͋Δ

17

ɽ৘ใऩू

੍໿ (ICI’) ͸౳߸Ͱ੒ཱ͢Δ͜ͱ͔Βɼ࠷େԽͷҰ֊৚݅͸ (17) ͱ (18) ΑΓ࣍ͷΑ͏ʹද͞

ΕΔɽ

θ = c

(l(θ)) + 1 F (θ) f (θ) λ

f (θ) [1l θ>θ

m

F (θ)], θ Θ (17)

θ

1

θ

0

l(θ)[1l θ>θ

m

F(θ)]dθ = e (ICI”)

࠷దղ͸͜ΕΒ 2 ࣜΑΓ༩͑ΒΕΔɽ·ͣ (17) Λղ͘͜ͱͰؔ਺ l(θ) ͕ λ Λύϥϝʔλͱ͠

ͯٻΊΒΕɼ͍࣍Ͱ͜ͷղΛ (ICI”) ʹ୅ೖ͠ܭࢉ͢Δ͜ͱͰ λ ͕ಘΒΕΔɽ·ͨɼ࠷దղʹ

͓͍ͯ͸ U i

0

) = 0 Ͱ͋Δ͔Βɼแབྷઢ৚݅ (EC’) ɾ (EC”) ΑΓɼاۀͷϨϯτͱظ଴Ϩϯ τ͸֤ʑɼ࣍ͷΑ͏ʹٻΊΒΕΔɽ

U i (θ) =

θ θ

0

l(s)ds (21)

E[U i (θ)] =

θ

1

θ

0

l(θ)[1 F (θ)]dθ (22)

͍·΍ λ > 0 Ͱ͋Δ͔Βɼ࠷దͳआೖֹ l(θ) ͸ɼ θ = θ

0

ͱ θ = θ

1

ͷέʔεΛআ͍ͯηΧϯ υϕετͷղ l sb (θ) ͱ͸ҟͳΓɼ࿪Έ͕ੜ͡Δɽͦ͜Ͱɼ͜ͷ৔߹ͷ࠷దܖ໿Λɼमਖ਼͞Εͨ

ηΧϯυϕετܖ໿ͱݺͿɽԼͷิ୊ 2 ΑΓɼ λ 1 Ͱ͋Γɼ༗ޮͳ৘ใऩू੍໿ (ICI”) ʹ ΑΓ࠷దͳआೖֹ l(θ) ͸࣍ͷΑ͏ʹͳΔʢਤ 1 Λࢀরʣ ɽ

17

(17) ͱ (ICI”) ͷ 2 ࣜΛ࿈ཱͤͯ͞ղ͍ͨ࠷దղΛ໨తؔ਺ʹ୅ೖͯ͠ಘΒΕΔϖΠΦϑؔ਺͸৘ใऩूίε

τ e ͷݫີͳݮগؔ਺ͱͳΓɼͦͷඍ෼܎਺ͷઈର஋͸ϥάϥϯδϡ৐਺ λ ʹҰக͢Δɽ͜ͷ఺ʹؔ͢Δৄࡉ

ͳ෼ੳʹ͍ͭͯ͸ɼิ࿦ A Λࢀরɽ

(13)

l

fb

θ

θ

m

FB: l ( ) θ

SB: l ( ) θ

修正された

θ

SB: l

sb

( ) θ

ਤ 1 आೖεέδϡʔϧɿ e (e

1

, e

2

) ͷέʔε

l(θ) = l sb (θ) for θ ∈ { θ

0

, θ

1

} l(θ) < l sb (θ) for θ

0

< θ θ m

l(θ) (l sb (θ), l f b (θ)] for θ m < θ < θ

1

(23)

͜͜Ͱ஫ҙ͢΂͖͜ͱ͸ɼ θ m ʹ͓͚Δෆ࿈ଓੑͰ͋Δɽ͜ͷෆ࿈ଓੑ͕ൃੜ͢Δཧ༝Λߟ͑

ΔͨΊʹɼ৘ใऩू੍໿ (ICI) Λ࣍ͷΑ͏ʹॻ͖௚͢ɽ E[U i (θ)] U im ) + e

৘ใΛऩू͍ͤͨۜ͞ߦ͸৘ใऩू੍໿ͷӈลͷ஋Λখ͍ͨ͘͞͠ɽͦ͏͢ΔͨΊʹ͸ɼۜߦ

͸ฏۉతͳλΠϓͷاۀͷϨϯτ U im ) Λ௿Լͤ͞ͳ͚Ε͹ͳΒͳ͍ɽ (21) Λߟྀ͢Ε͹ɼ

͜ͷ௿ԼΛ࣮ߦ͢ΔͨΊʹۜߦ͸ɼฏۉҎԼͷඇޮ཰తͳλΠϓʢ θ θ m ʣʹࢦఆ͢Δआೖֹ

l(θ) Λݮগͤ͞Δ͜ͱͱͳΔɽಉ༷ʹɼ (22) ΋ߟྀ͢Δͱɼ৘ใऩू੍໿ͷࠨลͷ஋Λେ͖͘

͢ΔͨΊʹ͸ɼۜߦ͸ฏۉΑΓ΋ޮ཰తͳλΠϓʢ θ > θ m ʣʹࢦఆ͢Δआೖֹ l(θ) Λ૿Ճ͞

ͤΔ͜ͱͱͳΔɽ͜ͷΑ͏ʹͯ͠ θ m ʹ͓͚Δෆ࿈ଓੑ͕ੜ͡ΔͷͰ͋Δ

18

ɽ

18

ಉ༷ͷཧ༝ʹΑΓɼ Lewis and Sappington ʢ 1993 ʣͰ͸ੜ࢈εέδϡʔϧʹ͓͍ͯෆ࿈ଓੑ͕ൃੜ͍ͯ͠Δɽ

l

fb

θ θ

m

FB: l ( ) θ

SB: l ( ) θ

修正された

θ

SB: l

sb

( ) θ

(14)

ۜߦ͕اۀʹఏࣔ͢Δआೖεέδϡʔϧ (23) ΛΑΓৄ͘͠ݕ౼͢ΔͨΊʹɼ (17) Λ࣍ͷΑ

͏ʹॻ͖௚͢ɽ

c

(l(θ)))f (θ) = (1 F (θ)) λ[1l θ>θ

m

F (θ)] (24)

͜ͷࣜͷࠨล͸ɼ l(θ) ͷݶքతͳ૿Ճ͕૯༨৒ͷظ଴஋ʹٴ΅͢ΠϯύΫτΛද͢

19

ɽଞํɼ ӈลͷୈ 1 ߲͸ɼ l(θ) ͷݶքతͳ૿Ճ͕اۀͷظ଴Ϩϯτʹٴ΅͢ΠϯύΫτΛද͢ɽͳͥͳ Βɼ (21) ΑΓɼλΠϓ θ ͷϨϯτ͕ θ ΑΓඇޮ཰తͳλΠϓͷआೖֹͷ૿Ճؔ਺Ͱ͋Δ͜ͱʹ

஫ҙ͢Ε͹ɼ l(θ) ͷ 1 ୯Ґͷ૿Ճ͸ θ ΑΓޮ཰తͳ͢΂ͯͷλΠϓͷϨϯτʹ͓͚Δ 1 ୯Ґ ͷ૿ՃΛҙຯ͠ɼޙऀͷλΠϓͰ͋Δ֬཰͸ 1 F (θ) ͱͳΔ͔ΒͰ͋Δɽ࠷ޙʹɼӈลͷୈ

2 ߲͸ɼ৘ใͷՁ஋͕ e ʹ౳͍͜͠ͱΛอূ͠ͳ͚Ε͹ͳΒͳ͍ίετΛ൓ө͢Δɽ θ ͕ θ m ΑΓେ͖͍͔খ͍͔͞ʹґଘͯ͠ɼ l(θ) ͷ૿Ճ͕৘ใͷՁ஋ʹରͯ͠༗͢ΔޮՌ͸ਖ਼൓ରͱͳ ΔɽҎԼɼ৘ใऩू੍໿ (ICI) ʹ஫໨͠ͳ͕Βɼ͜ͷޮՌΛৄ͘͠ݕ౼͠Α͏ɽ l(θ) ͷ૿Ճ͸

E[U i (θ)] Λ 1 F(θ) ͚ͩ૿Ճͤ͞ɼ৘ใऩू੍໿Λ؇࿨ͤ͞Δɽ͜͜ͰɼฏۉΑΓޮ཰తͳ λΠϓͱฏۉҎԼͷඇޮ཰తͳλΠϓͱͰ͸ɼ l(θ) ͷ૿Ճ͕ U im ) ʹ༩͑ΔޮՌɼͦͯͦ͠

Εނɼ৘ใऩू੍໿ (ICI) ʹٴ΅͢ޮՌ͕ҟͳͬͯ͘Δ͜ͱʹ஫ҙ͠ͳ͚Ε͹ͳΒͳ͍ɽฏۉ ΑΓޮ཰తͳλΠϓʢ θ m < θ < θ

1

ʣʹ͍ͭͯ͸ɼ l(θ) ͷ 1 ୯Ґͷ૿Ճ͸ U im ) ʹԿΒͷӨ ڹ΋ٴ΅͞ͳ͍ͨΊɼ্هͷ৘ใऩू੍໿Λ؇࿨ͤ͞ΔޮՌͷΈ͕ੜ͡ΔɽଞํɼฏۉҎԼͷ ඇޮ཰తͳλΠϓʢ θ

0

< θ θ m ʣʹ͍ͭͯ͸ɼ l(θ) ͷ 1 ୯Ґͷ૿Ճ͸ U im ) Λ 1 ୯Ґ͚ͩ

૿Ճͤ͞ΔͨΊ৘ใऩू੍໿ΛҾకΊΔޮՌ͕ੜ͡ɼ 1 F (θ) < 1 ΑΓɼ͜ͷҾకޮՌ͸্

هͷ؇࿨ޮՌΛ྇կ͢ΔͨΊɼ݁ہɼ l(θ) ͷ૿Ճ͸৘ใऩू੍໿ΛҾకΊΔ͜ͱͱͳΔɽͨ͠

͕ͬͯɼۜߦ͕اۀʹఏࣔ͢Δआೖֹ l(θ) ͸ɼฏۉҎԼͷඇޮ཰తͳλΠϓʹ͍ͭͯ͸ηΧϯ υϕετͷआೖֹ l sb (θ) ΛԼճΓɼٯʹɼฏۉΑΓޮ཰తͳλΠϓʹ͍ͭͯ͸ l sb (θ) Λ্ճΔ

͜ͱ͔ΒɼฏۉతͳλΠϓ θ m ʹ͓͍ͯෆ࿈ଓͱͳΔͷͰ͋Δɽ

͜ͷෆ࿈ଓੑʹΑΓɼฏۉΑΓ΋ޮ཰తͳλΠϓͷاۀʹର͢Δ৴༻ׂ౰͕؇࿨͞ΕΔҰ

ํɼඇޮ཰తͳλΠϓͷاۀʹର͢Δ৴༻ׂ౰͕ڧԽ͞ΕΔ͜ͱ͸஫໨ʹ஋͢Δʢਤ 1 Λࢀ

রʣɽ৘ใऩूίετ e ্͕ঢ͢ΔʹͭΕͯɼ৘ใͷՁ஋͸૿Ճ͠ͳ͚Ε͹ͳΒͳ͍ɽ৘ใͷ Ձ஋ͷ૿Ճ͸ɼฏۉΑΓ΋ޮ཰తͳλΠϓ޲͚ͷआೖֹΛ૿Ճͤ͞Δͱڞʹඇޮ཰తͳλΠϓ

޲͚ͷआೖֹΛݮগͤ͞Δ͜ͱʹΑͬͯ੒͠਱͛ΒΕΔɽ͕ͨͬͯ͠ɼ৘ใऩूίετ e ͷ্

ঢ͸ɼฏۉΑΓ΋ޮ཰తͳλΠϓͱඇޮ཰తͳλΠϓͷؒʹ͓͍ͯ৴༻ׂ౰ʹؔ͢Δ֨ࠩΛ֦

େ͢Δํ޲ʹ࡞༻͢Δ͜ͱͱͳΔɽ

ຊઅͷ෼ੳΑΓಘΒΕͨ݁ՌΛҎԼʹཁ໿͓ͯ͜͠͏ʢূ໌͸ิ࿦ A Λࢀরʣ ɽ

ิ୊ 2 ɿ ϥάϥϯδϡ৐਺ λ ͸৘ใऩूίετ e ͷ࿈ଓ͔ͭݫີͳ૿Ճؔ਺Ͱ͋Δɽ λ ͸ɼ

19

૯༨৒ S ͸ۜߦͷޮ༻ͱاۀͷޮ༻ͷ࿨ V + U Ͱ͋Γɼ S = θl c(l) ͱͳΔɽ

(15)

e e

1

ͷͱ͖͸θϩʹ౳͘͠ɼ e > e

1

ͷͱ͖͸ݫີʹਖ਼ͱͳΓɼ 1 ҎԼͷ஋ΛͱΔɽ

͜͜Ͱɼ e e

1

ͷͱ͖ɼ l(θ) ͸ l sb (θ) ʹऩଋ͢Δ͜ͱʹ஫ҙ͠Α͏ɽ

໋୊ 1 ɿ ۜߦ͕اۀʹ৘ใΛऩू͍ͤͨ͞ͷͰ͋Ε͹ɼҎԼͷ݁Ռ͕੒ཱ͢Δɽ

1. e e

1

ͷͱ͖ɼ࠷దͳ l(θ) ͸ (19) Ͱ༩͑ΒΕΔηΧϯυϕετεέδϡʔϧ l sb (θ) ͱ ͳΔɽۜߦͷϖΠΦϑ͸ e ͔ΒಠཱͰ͋ΓɼηΧϯυϕετܖ໿͔ΒಘΒΕΔۜߦͷϖ ΠΦϑʹ౳͍͠ɽ

2. e > e

1

ͷͱ͖ɼ͔ͭɼ (17) ͷӈล͕૿Ճؔ਺Ͱ͋Δͱ͖ʹ͸ɼ࠷దͳ l(θ) ͸৚݅ (17) ɾ

(ICI”) ʹΑͬͯ༩͑ΒΕΔɽۜߦͷϖΠΦϑ͸ e ͷݫີͳԜ͔ͭݫີͳݮগؔ਺Ͱ

͋Δɽ

৚݅ (17) ͸ɼ୯ௐةݥ཰৚݅ (1) ΛԾఆ͢Δ͚ͩͰ͸ l(θ) ͷ୯ௐੑΛอূ͢Δͷʹे෼Ͱ ͳ͍͜ͱΛ͍ࣔͯ͠Δɽಛʹɼ৘ใऩूίετ e ͕े෼େ͖͍ͱ͖ʹ͸෇͚ՃΘ߲͕ͬͨࢧ഑

తͱͳΔͨΊɼ l(θ) ͕ݫີͳ૿Ճؔ਺ͱͳΔͨΊͷे෼৚݅͸࣍ͷ௨ΓͱͳΔɽ d

( F (θ)

f (θ) )

< 1 for θ θ m (25)

4 ৘ใΛऩूͤ͞ͳ͍ܖ໿

ຊઅͰ͸ɼۜߦ͕اۀʹ৘ใΛऩूͤͨ͘͞ͳ͍ͱ͖ʹఏࣔ͢Δܖ໿ʹ͍ͭͯ෼ੳ͢Δɽ৘

ใΛ࣋ͨͳ͍اۀʹܖ໿΁ͷࢀՃΛଅ͢ʹ͸اۀͷظ଴ޮ༻͕ඇෛʹͳΓ͑͢͞Ε͹Α͍ͷͰ

͋ͬͯاۀͷޮ༻͕͢΂ͯͷλΠϓʹ͓͍ͯඇෛͰ͋Δ͜ͱΛอূ͢Δඞཁ͸ͳ͍͜ͱ͔Βɼ

ۜߦ͸৘ใΛऩूͤ͞ͳ͍͜ͱ͔ΒརӹΛಘΔɽݴ͍׵͑Ε͹ɼۜߦ͸͍͔ͭ͘ͷλΠϓͷا ۀʹࣄޙͷଛࣦΛෛΘͤΔ͜ͱ͕Ͱ͖ΔͷͰ͋Γɼ͜Ε͸اۀ͕৘ใΛ͍࣋ͬͯͯ͸Ͱ͖ͳ͍

͜ͱͰ͋Δɽଞํɼ৘ใΛऩूͤ͞ͳ͍͜ͱʹ൐͏ίετ͸ɼاۀͷआೖ͕ͦͷλΠϓ͔Βಠ

ཱʹͳΒ͟ΔΛಘͳ͍͜ͱͰ͋Δɽܖ໿͸͍·΍λΠϓ θ ͔ΒಠཱͳϖΞʢआೖֹɼฦࡁֹʣ Ͱ͋Δ͔Βɼاۀ͸ͨͱ͑ࣗΒͷλΠϓΛ஌͍ͬͯͨͱͯ͠΋ɼ౤ࢿͷऩӹੑΛաগਃࠂ͢Δ ʢͭ·Γɼࣗ෼ΑΓ΋ඇޮ཰తͳλΠϓͷ;ΓΛ͢Δʣ͜ͱ͔ΒརӹΛಘΔ͜ͱ͸Ͱ͖ͳ͍ɽ͠

͔͠ͳ͕Βɼ৘ใΛ࣋ͭ͜ͱʹΑΓاۀ͸ܖ໿Λڋ൱ͯ͠ଛࣦΛճආͰ͖ΔɽΑͬͯاۀ͸ɼ

৘ใͷՁ஋͕ͦͷऩूίετ e Λ্ճΒͳ͚Ε͹ɼ͢ͳΘͪ৘ใऩू્ࢭ੍໿ (ICU) ͕੒Γཱ

ͭͳΒ͹ɼ৘ใऩू͠ͳ͍͜ͱΛબ୒͢Δɽ

(16)

৘ใΛऩूͤ͞ͳ͍࠷దܖ໿͸ɼ࣍ͷ໰୊ʢ P N ʣͷղͰ͋Δɽ

໰୊ʢ P N ʣ

max

(l,r)

r c(l) (26)

subject to

U u 0 (PCU)

E[max(θl r, 0)] U u e (ICU)

ͨͩ͠ɼ U u ͸ (5) Ͱ༩͑ΒΕ͍ͯΔɽ

ิ୊ 3 ɿ e > 0 ͳΒ͹ɼ໰୊ʢ P N ʣͷ࠷దղʹ͓͍ͯɼ θ < θ

ͳΔλΠϓ θ ͸ෛͷࣄޙͷϨ ϯτΛड͚औΔɽͨͩ͠ɼ θ

r/l

0

, θ m ] Ͱ͋Δɽ

ূ໌ɿ ΋͠΋ θ

0

l r ͳΒ͹ U u = θ m l r m θ

0

)l > 0 ͱͳΓɼ (PCU) ͸༗ޮͰͳ͍ɽ

͔͠΋ɼ΋͠΋ θ

0

l r ͳΒ͹ θl r θ

0

)l 0 ΑΓ max(θl r, 0) = θl r ͱͳΓɼ E[max(θl r, 0)] U u = θ m l r m l r) = 0 < e ͱͳΔ͔Βɼ (ICU) ΋·ͨ༗ޮͰͳ

͍ɽ͕ͨͬͯ͠ɼ΋͠΋ θ

0

l r ͳΒ͹ (PCU) ͱ (ICU) ͸ڞʹ༗ޮͳ੍໿ͱ͸ͳΒͣɼͦΕ ނɼ͜ͷ৔߹͸࠷దͱ͸ͳΓಘͳ͍ɽΑͬͯɼ r/l > θ

0

Ͱ͋Δɽ࣍ʹɼ΋͠΋ θ m l < r ͳΒ͹

(PCU) ͕੒Γཱͨͳ͍ɽΑͬͯɼ r/l θ m Ͱ͋Δɽʢূྃʣ

ิ୊ 3 Λ༻͍Δͱɼ৘ใऩू્ࢭ੍໿ (ICU) ͸࣍ͷΑ͏ʹॻ͖௚ͤΔɽ

θ

θ

0

(θl r)f (θ)dθ e, θ

r/l

0

, θ m ] (ICU’) Ҏ্ͷ෼ੳΑΓɼ໰୊ʢ P N ʣ͸࣍ͷΑ͏ʹදͯ͠΋ಉ஋Ͱ͋Δɽ

໰୊ʢ P

N

ʣ

max

(l,r)

r c(l) (26)

subject to

θ m l r 0 (PCU’)

θ

θ

0

(θl r)f (θ)dθ e, θ

r/l

0

, θ m ] (ICU’)

(17)

Αͬͯɼ໰୊ʢ P

N

ʣͷϥάϥϯδϡؔ਺Λ࣍ͷΑ͏ʹॻ͘͜ͱ͕Ͱ͖Δɽ

L = r c(l) + ν(θ m l r) + µ [

e +

r/l θ

0

(θl r)f (θ)dθ ]

(27)

ͨͩ͠ɼ ν ͸ࢀՃ੍໿ (PCU’) ʹର͢Δϥάϥϯδϡ৐਺ɼ µ ͸৘ใऩू્ࢭ੍໿ (ICU’) ʹର

͢Δϥάϥϯδϡ৐਺Ͱ͋Γɼ͍ͣΕ΋ඇෛͰ͋Δɽ৐਺ µ ͸ɼ৘ใऩूίετ e ͕ݶքతʹ

૿Ճ͢Δ͜ͱ͔Βੜ͡ΔۜߦͷϖΠΦϑͷݶքతͳ૿Ճʹ౳͍͠ɽ ʮࣄલʯޮ཰తआೖΛ l m Ͱද͠ɼ࣍ࣜͰఆٛ͢Δɽ

θ m c

(l m )

৘ใऩूίετ e ͷ஋͕े෼େ͖͚Ε͹ɼ৘ใऩू્ࢭ੍໿ (ICU’) ͸༗ޮͱ͸ͳΒͣɼ µ = 0 ɼ ν = 1 ͱͳΔɽͦ͏͢Δͱɼ࠷దܖ໿͸ɼࣄલޮ཰తܖ໿ʢ the ex-ante efficient contract ʣ (l m , r m ) ͱͳΔɽͨͩ͠ɼ

r m = θ m l m

৘ใऩूίετ e ͷ஋͕খ͘͞ͳΕ͹ɼࣄલޮ཰తܖ໿ͷԼͰͷ৘ใͷՁ஋͸ e Λ্ճΓɼ اۀ͕৘ใΛ࣋ͭ͜ͱΛ๬Ή݁Ռɼඇޮ཰తͳλΠϓͷاۀ͸आೖΛڋ൱͢Δ͜ͱ͕Ͱ͖Δɽ Αͬͯɼاۀʹ৘ใΛऩूͤ͞ͳ͍ͨΊʹ͸ɼܖ໿ͷϖΞ͸ࣄલޮ཰ੑ͔Β֎Εɼ࿪Έ͕ੜ͡

Δ͜ͱͱͳΔɽاۀ͕ࣄલޮ཰తܖ໿ (l m , r m ) Λఏࣔ͞ΕΔͱ͖ͷɼاۀʹͱͬͯͷ৘ใͷՁ

஋Λ e

3

Ͱද͠ɼ࣍ࣜͰఆٛ͢Δɽ

e

3

≡ −

θ

m

θ

0

((θ θ m )l m )f (θ)dθ

ͦ͏͢Δͱɼ࣍ͷ໋୊͕੒ཱ͢Δɽ

໋୊ 2 ɿ 0 < e

4

< e

3

ͳΔ e

4

͕ଘࡏ͠ɼ৘ใΛऩूͤ͞ͳ͍ܖ໿ʹؚ·ΕΔ࠷దܖ໿ʹؔ͠

ͯҎԼͷੑ࣭͕੒Γཱͭɽ

1. e e

3

ͷͱ͖ɼआೖ͸ࣄલޮ཰తͰ l = l m ͱͳΓɼاۀʹϨϯτ͸࢒Βͣ r = r m = θ m l m ͱͳΔɽ

2. e

3

> e e

4

ͷͱ͖ɼ৴༻ׂ౰͕ൃੜͯ͠ l < l m ͱͳΓɼاۀʹϨϯτ͸࢒Βͣ r = θ m l ͱͳΔɽ

3. e < e

4

ͷͱ͖ɼ৴༻ׂ౰͕ൃੜͯ͠ l < l m ͱͳΓɼاۀ͸ਖ਼ͷϨϯτΛड͚औͬͯ

r < θ m l ͱͳΔɽ

4. ࠷దआೖֹ͸ e ʹؔͯ͠࿈ଓͰ͋Γɼ e e

3

ͷͱ͖͸ e ͔ΒಠཱʹͳΓɼ e < e

3

ͷͱ

͖͸ e ʹؔͯ͠ݫີͳ૿Ճؔ਺ͱͳΔɽଞํɼۜߦͷϖΠΦϑ΋·ͨ e ʹؔͯ͠࿈ଓͰ

(18)

͋Γɼ e e

3

ͷͱ͖͸ e ͔ΒಠཱʹͳΓɼ e < e

3

ͷͱ͖͸ e ʹؔͯ͠ݫີͳԜ͔ͭݫ

ີͳ૿Ճؔ਺ͱͳΔɽ

৘ใऩूίετ e ͕ඇৗʹߴ͍஋͔Β࣍ୈʹ௿Լ͍ͯ͘͠ͱɼ͋Δ఺ʹ͓͍ͯͦΕ͸ɼࣄલ

ޮ཰తܖ໿͔Β΋ͨΒ͞ΕΔ৘ใͷՁ஋ e

3

ΛԼճΔ͜ͱͱͳΔɽ͕ͨͬͯ͠ɼ΋͠৘ใΛऩ

ूͤ͞ͳ͍ͷͰ͋Ε͹ɼ৘ใͷՁ஋ΛݮΒ͟͞ΔΛಘͳ͍ɽ e ͕ e

3

ΑΓ΋খ͍͕͞ɼ͔ͦ͠͠

Εʹ͍ۙ஋ΛͱΔͱ͖ʹ͸ɼआೖֹ l Λͦͷࣄલޮ཰తਫ४ l m ͔Βۇ͔͚ͩ࿪·ͤͯ΋Ұ࣍

ଛࣦʢ first order loss ʣ͕ੜ͡Δ͜ͱ͸ͳ͍͕ɼ͔͠͠ɼ΋͠اۀʹϨϯτ͕࢒͞ΕΔͷͰ͋

Ε͹Ұ࣍ଛࣦ͕ൃੜ͢ΔɽΑͬͯɼۜߦ͸اۀʹϨϯτΛ࢒͞ͳ͍ܗͰͷ৴༻ׂ౰ΛબͿͰ͋

Ζ͏ɽ e ͕͞Βʹ௿Լ͍ͯ͘͠ͱɼ৴༻ׂ౰͸ΑΓߴͭ͘͘΋ͷͱͳΓɼͦͷ݁Ռɼۜߦ͸৴

༻ׂ౰ͱϨϯτͷ྆खஈΛ༻͍ͯ৘ใऩूΛ્ࢭ͢Δɽ e ͕௿Լ͢ΔʹͭΕͯɼ৘ใΛऩू͞

ͤͳ͍͜ͱ͸ΑΓҰ૚ߴͭ͘͘Α͏ʹͳΓɼ͜Ε͕ۜߦͷϖΠΦϑؔ਺͕ʢݫີͳʣԜͱͳΔ ཧ༝Ͱ͋Δɽ

৘ใऩू્͕ࢭ͞ΕΔͱ͖ۜߦͷϖΠΦϑ͸ਖ਼ͷ஋ΛͱΔ͜ͱʹ஫ҙ͠Α͏ɽͳͥͳΒۜߦ

͸ৗʹܖ໿ l = l f b

0

) ɼ r = θ

0

l f b

0

) Λఏࣔ͢Δ͜ͱ͕Ͱ͖ɼ͜Ε͸ਖ਼ͷϖΠΦϑΛอূ͢

Δ͔ΒͰ͋Δ

20

ɽ

5 ۜߦʹΑΔ৘ใऩूͷଅਐɾ્ࢭͷબ୒

ୈ 3 અͱୈ 4 અͰ͸֤ʑɼۜߦ͕اۀʹ৘ใऩूͤ͞Δ͜ͱɼ͋Δ͍͸ͤ͞ͳ͍͜ͱΛબ޷

͢ΔͱԾఆ্ͨ͠Ͱ෼ੳΛߦͬͨɽͦΕͰ͸ɼۜߦ͸͍ͭ৘ใऩूͤ͞Δ͜ͱΛબ୒͠ɼ·ͨ

ͤ͞ͳ͍͜ͱΛબͿͷͰ͋Ζ͏͔ɽ͜ͷઅͰ͸ɼۜߦ͕௚໘͢Δ͜ͷ཭ࢄతͳબ୒ʹؔ͢Δ࠷

దԽ໰୊Λ෼ੳ͢Δɽ

໰୊ʢ P I ʣͱ໰୊ʢ P N ʣͷ֤ʑ͔Β΋ͨΒ͞ΕΔۜߦͷϖΠΦϑؔ਺Λ W I (e) ɼ W N (e) Ͱද͢ɽ͞Βʹɼ৘ใऩू੍໿·ͨ͸৘ใऩू્ࢭ੍໿͕༗ޮͰͳ͘ɼϖΠΦϑ͕ e ͔Βಠཱ

ͱͳΔೋͭͷۃ୺ͳέʔεʹ͓͚ΔϖΠΦϑΛ֤ʑ W sb ɼ W N ͱه͢ʢҰൠʹɼ W sb < W N

ͱͳΔ͜ͱ΋͋Ε͹ W sb > W N ͱͳΔ͜ͱ΋͋Δʣ ɽ

ҎԼͷ໋୊͸ɼ৘ใऩूίετʹΑͬͯࢦ਺෇͚͞Εͨ࠷దܖ໿ͷຊ࣭తͳಛ௃ΛͱΒ͑ͯ

͍Δʢূ໌ͷجૅͱͳΔ෼ੳʹ͍ͭͯ͸ิ࿦Λࢀরʣ ɽ͜ͷ໋୊͸ΧοτΦϑɾϙΠϯτ e

1

ʢୈ

3 અͰఆٛ͞Εͨʣɼ e

3

͓Αͼ e

4

ʢڞʹୈ 4 અͰఆٛ͞ΕͨʣΛ༻͍ͯද͞Ε͍ͯΔʢਤ 2 Λ

ࢀরʣ ɽ

20

͜ͷܖ໿ͷԼͰ͸ɼࢀՃ੍໿ (PCU) ͱ৘ใऩू્ࢭ੍໿ (ICU) ͸ͱ΋ʹݫີͳෆ౳߸Ͱ੒ཱ͢Δɽଞํɼ r = θ

0

l ͷͱ͖ɼۜߦͷϖΠΦϑؔ਺͸ r c(l) = θ

0

l c(l) ͱͳΔ͔Βɼ͜ΕΛ࠷େʹ͢Δआೖֹ͸ɼҰ֊

৚݅ θ

0

= c

(l) ΑΓɼ l = l

f b

0

) ͱͳΓɼ৚݅ (2) ʹΑΓɼղ͸಺఺ղͱͳΔɽ

(19)

SB

銀行のペイオフ

e

e

e

e

e

修正された

事前効率的借入 情報レントなし

信用割当 情報レントなし

信用割当 情報レントあり セカンドベスト

情報収集 情報収集阻止

ਤ 2 ۜߦͷϖΠΦϑؔ਺ͱରԠ͢Δܖ໿ͷओཁͳੑ࣭

໋୊ 3 ɿ ۜߦʹΑΔ৘ใऩूͷଅਐɾ્ࢭͷબ୒ʹؔͯ͠ҎԼͷੑ࣭͕੒Γཱͭɽ

1. ΧοτΦϑɾϙΠϯτ e

2

> 0 ͕ଘࡏ͠ɼ e < e

2

ͷͱ͖ʹ͸ W I (e) > W N (e) ɼ e > e

2

ͷͱ͖ʹ͸ W I (e) < W N (e) ͱͳΔɽ

2. ΋͠ e

1

< e

2

< e

4

< e

3

ͳΒ͹ɼ࠷దܖ໿ʹؔͯ͠ҎԼͷੑ࣭͕੒Γཱͭɽ

ʢ a ʣ 0 e e

1

ͷͱ͖ɼ࠷దܖ໿͸ηΧϯυϕετܖ໿ͱͳΓɼاۀ͸৘ใΛऩू͢Δɽ ʢ b ʣ e

1

< e < e

2

ͷͱ͖ɼमਖ਼͞ΕͨηΧϯυϕετܖ໿͕ఏࣔ͞Εɼاۀ͸৘ใΛऩ

ू͢Δɽ

ʢ c ʣ e

2

< e < e

4

ͷͱ͖ɼاۀ͸৘ใΛऩूͤͣɼआೖֹ͸ࣄલޮ཰తਫ४ΛԼճΓɼ

اۀͷࢀՃ੍໿͸༗ޮͰͳ͍ɽ

ʢ d ʣ e

4

e < e

3

ͷͱ͖ɼاۀ͸৘ใΛऩूͤͣɼआೖֹ͸ࣄલޮ཰తਫ४ΛԼճΓɼ

SB

銀行のペイオフ

e e e e e

修正された

事前効率的借入 情報レントなし

信用割当 情報レントなし

信用割当 情報レントあり セカンドベスト

止 阻 集 収 報 情 集

収 報 情

(20)

اۀͷࢀՃ੍໿͸༗ޮͰ͋Δɽ

ʢ e ʣ e

3

e ͷͱ͖ɼاۀ͸৘ใΛऩूͤͣɼܖ໿͸ࣄલޮ཰తܖ໿ͱͳΔɽ

͜ͷ໋୊ͷલ൒͸༰қʹূ໌Ͱ͖Δɽ·ͣɼ W I (e) ͱ W N (e) ͸ڞʹݫີͳԜؔ਺Ͱ͋Γɼ

͔͠΋લऀ͸ݫີͳݮগؔ਺ɼޙऀ͸ݫີͳ૿Ճؔ਺Ͱ͋Δɽ࣍ʹɼ e ͕ඇৗʹେ͖ͳ஋Λͱ ΔʹͭΕͯɼ W I (e) < W N ͱͳΔɽ࠷ޙʹɼ e ͷ஋͕θϩʹۙͮ͘ʹͭΕͯɼ΋ۜ͠ߦ͕৘ใ Λऩूͤͨ͘͞ͳ͍ͷͰ͋Ε͹ɼ ʢ΄ͱΜͲʣ͢΂ͯͷλΠϓͷاۀʹϨϯτΛ࢒͟͞ΔΛಘ ͳ͘ͳΔͰ͋Ζ͏ɽ͔͠͠໌Β͔ʹɼ৘ใΛऩूͤ͞Δܖ໿Ͱ͋ΔηΧϯυϕετܖ໿͸ɼ͜

ͷ৔߹ɼΑΓߴ͍ϖΠΦϑΛ΋ͨΒ͠ɼ W sb > W N (e) ͱͳΔɽ

໋୊ 3 ͷޙ൒͸ɼؔ࿈͢Δઅʹ͓͚Δ͜Ε·Ͱͷ݁Ռ͔Β໌Β͔ͱͳΔɽ͜͜Ͱɼ࢛ͭͷ ΧοτΦϑɾϙΠϯτ e

1

ɼ e

2

ɼ e

4

͓Αͼ e

3

ʹରԠ͢Δޒͭ͢΂ͯͷྖҬ͕ଘࡏ͢Δ͜ͱ͸อ

ূͰ͖ͳ͍ɽ͔͠͠ͳ͕Βɼ໋୊ 3 ͷલ൒ΑΓɼগͳ͘ͱ΋ࡾͭͷྖҬͷଘࡏ͸อূͰ͖Δɽ

ܥ 1 ɿ ΧοτΦϑɾϙΠϯτʹΑͬͯఆٛ͞ΕΔྖҬʹؔͯ͠ҎԼͷੑ࣭͕੒Γཱͭɽ 1. ΋͠ W sb > W N ͳΒ͹ɼΧοτΦϑɾϙΠϯτ e

1

ͱ e n ʹΑͬͯఆٛ͞ΕΔྖҬ͕গ

ͳ͘ͱ΋ࡾͭଘࡏ͠ͳ͚Ε͹ͳΒͳ͍ɽͨͩ͠ɼ W I (e n ) = W N ɼ e

1

< e n Ͱ͋Δɽ 2. ΋͠ W sb < W N ͳΒ͹ɼΧοτΦϑɾϙΠϯτ e i ͱ e

3

ʹΑͬͯఆٛ͞ΕΔྖҬ͕গ

ͳ͘ͱ΋ࡾͭଘࡏ͠ͳ͚Ε͹ͳΒͳ͍ɽͨͩ͠ɼ W sb = W N (e i ) ɼ e i < e

3

Ͱ͋Δɽ

࠷ޙʹɼ۩ମతͳྫΛߟ࡯͢Δ͜ͱΛ௨্ͯ͠هͷ݁ՌΛ֬ೝ͠Α͏ɽۜߦͷඅ༻ؔ਺͸ 2

࣍ؔ਺ c(l) = (1/2)l

2

Ͱද͞ΕɼاۀͷλΠϓ θ ͸۠ؒ

0

, θ

1

] ্ʹҰ༷ʹ෼෍͢Δ΋ͷͱԾ ఆ͢Δɽͦ͏͢Δͱɼ୯ௐةݥ཰৚݅ (1) ͸ݫີͳෆ౳߸Ͱ੒ཱ͠ɼଞํɼ಺఺ղͷଘࡏ৚݅

(2) ͸࣍ࣜͷΑ͏ʹͳΔɽ

θ

1

<

0

c

(0) (28)

͜͜Ͱɼ c

(0) = 1+i M /(1 κ) Ͱ͋Δ͔Βɼ i M = 0.0099 ɼ κ = 0.01 ͱԾఆ͢Ε͹ c

(0) = 1.01 ͱͳΔɽ͕ͨͬͯ͠ɼλΠϓۭؒΛ Θ = [2, 2.9] ͱ͢Ε͹ɼ৚݅ (28) ͕ຬͨ͞ΕΔͱڞʹɼ࣍

ͷ݁Ռ͕ಘΒΕΔ

21

ɽ

W sb < W N

W I (e

4

) < W N (e

4

) e

1

< e

4

< e

3

21

අ༻ؔ਺ͱλΠϓͷ෼෍ʹؔ͢Δ্هͷԾఆͷԼͰ͸ɼ಺఺ղͷଘࡏ৚݅ (2) Λຬͨ͢਺஋ྫ͸͢΂ͯҎԼͷ

݁ՌΛࣔ͢ɽ

(21)

͜ͷ৔߹ʹ͸ɼਤ 2 ͕ࣔ͢Α͏ʹɼ࢛ͭͷΧοτΦϑɾϙΠϯτ e

1

ɼ e

2

ɼ e

4

͓Αͼ e

3

ʹରԠ

͢Δޒͭ͢΂ͯͷྖҬ͕ଘࡏ͢Δɽ

6 ݁ɹ࿦

ຊߘͰ͸ɼ৘ใऩूίετ͕ܖ໿ͷબ୒ʹ͓͍͍͔ͯʹॏཁͳ໾ׂΛՌ͔ͨ͢ʹ͍ͭͯݕ౼

ͨ͠ɽۉߧʹ͓͍ͯ͸ɼاۀ͸৘ใΛ͍࣋ͬͯΔ͔͍ͳ͍͔ͷ͍ͣΕ͔Ͱ͋Δ͕ɼ͔͠͠ܖ໿

৚߲͸͜ͷίετʹΑ࣮࣭ͬͯతͳӨڹΛड͚ಘΔɽ·ͨɼاۀʹ৘ใΛऩूͤ͞Δܖ໿Ͱ͋

Εऩूͤ͞ͳ͍ܖ໿Ͱ͋Ε৴༻ׂ౰͕ൃੜ͢ΔՄೳੑ͕͋Γɼ͔͠΋ɼ྆ܖ໿ͷؒʹ͓͍ͯ৴

༻ׂ౰ͷੑ࣭͸ҟͳͬͨ΋ͷͱͳΓಘΔɽҎԼͰ͸ɼຊߘͷ෼ੳΛ௨ͯ͠ಘΒΕͨओͳ݁ՌΛ ཁ໿͢Δɽ

ୈ 1 ʹɼ৘ใऩूίετ͕ඇৗʹ௿͍৔߹ʹ͸ɼاۀʹ৘ใΛऩूͤ͞Δܖ໿͕࠷దͱͳΓɼ

࠷దܖ໿͸৘ใऩूίετ͔ΒಠཱͱͳΔɽ͜ͷ࠷దܖ໿͸ɼӉዳʢ 2013 ʣͰࣔ͞ΕͨηΧϯ υϕετܖ໿ʹଞͳΒͳ͍ɽ͜ͷܖ໿ʹ͓͍ͯ͸ɼ࠷΋ޮ཰తͳλΠϓΛআ͘اۀͷआೖֹ͕

ͦͷϑΝʔετϕετͷਫ४ʹൺͯ͠աগʹͳΔͱ͍͏ҙຯͰ৴༻ׂ౰͕ൃੜ͢Δɽ৘ใऩू

ίετ͕ߴ͘ͳΔʹͭΕͯɼ࠷దܖ໿͸৘ใऩूίετʹґଘ͢ΔΑ͏ʹͳΔͱڞʹɼ࠷΋ޮ

཰తͳλΠϓͱ࠷΋ඇޮ཰తͳλΠϓΛআ͖ɼηΧϯυϕετܖ໿͔Β֎ΕͨܗͰͷ৴༻ׂ౰

͕ൃੜ͢Δɽ͜ͷ৔߹ͷܖ໿Λɼमਖ਼͞ΕͨηΧϯυϕετܖ໿ͱݺΜͩɽमਖ਼͞ΕͨηΧϯ υϕετܖ໿Ͱ͸ɼ৘ใऩूίετͷ্ঢ͸ɼฏۉΑΓ΋ޮ཰తͳλΠϓͷاۀʹର͢Δ৴༻

ׂ౰Λ؇࿨ͤ͞Δํ޲ʹ࡞༻͢Δͷʹର͠ɼඇޮ཰తͳλΠϓʹର͢Δ৴༻ׂ౰ΛڧԽ͢Δํ

޲ʹ࡞༻͢ΔɽΑͬͯɼ৘ใऩूίετͷ্ঢ͸ɼฏۉΑΓ΋ޮ཰తͳλΠϓͱඇޮ཰తͳλ Πϓͷؒʹ͓͍ͯ৴༻ׂ౰ʹؔ͢Δ֨ࠩΛ֦େ͢Δํ޲ʹ࡞༻͢ΔͷͰ͋Δʢਤ 1 Λࢀরʣ ɽ

ୈ 2 ʹɼ৘ใऩूίετ͕ඇৗʹߴ͍৔߹ʹ͸ɼاۀʹ৘ใΛऩूͤ͞ͳ͍ܖ໿͕࠷దͱ ͳΓɼ࠷దܖ໿͸৘ใऩूίετ͔ΒಠཱͱͳΔɽ͜ͷ࠷దܖ໿͸ɼ Cr´emer, Khalil, and

Rochet ʢ 1998 ʣͰࣔ͞Εͨࣄલޮ཰తܖ໿Ͱ͋Δɽ৘ใऩूίετ͕௿Լ͢ΔʹͭΕͯɼ࠷ద

ܖ໿͸৘ใऩूίετʹґଘ͢ΔΑ͏ʹͳΔͱڞʹɼआೖֹ͕ࣄલޮ཰తਫ४ΛԼճΔͱ͍͏

ҙຯͰ৴༻ׂ౰͕ൃੜ͢Δɽ͞Βʹ৘ใऩूίετ͕௿Լ͍ͯ͘͠ͱɼ৴༻ׂ౰͚ͩͰ͸اۀ ʹ৘ใऩूͤ͞ͳ͍͜ͱ͕ࠔ೉ͱͳΓɼͦΕʹՃ͑ͯฏۉҎ্ʹޮ཰తͳاۀʹର͢Δਖ਼ͷ৘

ใϨϯτ͕ൃੜ͢Δɽ৘ใऩूίετ͕ΑΓҰ૚௿Լ͢Δͱɼ৘ใΛऩूͤ͞ͳ͍ܖ໿͸΋͸

΍࠷దͱ͸ͳΒͣɼ৘ใΛऩूͤ͞Δܖ໿͕࠷దͱͳΔͷͰ͋Δɽ

ิɹ࿦ A ɿิ୊ 2 ͱ໋୊ 1 ͷূ໌

e e

1

ͷ৔߹ͱ e > e

1

ͷ৔߹ʹ෼͚ͯূ໌͢Δɽ

(22)

ʢ I ʣ e e 1 ͷ৔߹

͜ͷ৔߹ʹ͍ͭͯ͸ຊ࿦Ͱ࿦ূࡁΈͰ͋Δ͔Βɼ࣍ͷ఺͚ͩࢦఠ͓ͯ͘͠ɽ৘ใऩू੍໿

(ICI’) ͕༗ޮͰͳ͍ͨΊϥάϥϯδϡ৐਺ λ ͸θϩͱͳΓɼΑͬͯۜߦͷϖΠΦϑؔ਺ W I ͸

e ͔ΒಠཱͰҰఆ஋ΛͱΔɽ

ʢ II ʣ e > e 1 ͷ৔߹

৘ใऩू੍໿ (ICI’) ͸༗ޮͰ͋Γɼϥάϥϯδϡ৐਺ λ ͸ θ ͔Βಠཱͳਖ਼ͷ஋ΛͱΔɽҎ ԼͰ͸ɼϖΠΦϑؔ਺ͷੑ࣭ʹ͍ͭͯৄ͘͠ݕ౼͓ͯ͜͠͏ɽ

࠷େԽͷҰ֊৚݅ (17) ɾ (ICI”) ͔ΒٻΊΒΕΔ࠷దղ͸ɼ࠷దͳआೖֹʹ͍ͭͯ͸ θ ͱ e ͷ ඍ෼Մೳͳؔ਺ l = l(θ, e) ɼϥάϥϯδϡ৐਺ʹ͍ͭͯ͸ e ͷඍ෼Մೳͳؔ਺ λ = λ(e) ͱ͠

ͯදݱͰ͖Δɽ͜ͷͱ͖ɼ࣍ͷϥάϥϯδϡؔ਺΋·ͨ e ͷඍ෼Մೳͳؔ਺ͱͳΔɽ

L(e) =

θ

1

θ

0

[

θl(θ, e) c(l(θ, e)) ϕ(θ)l(θ, e) + λ(e) ( ψ(θ)

f (θ) l(θ, e) e )]

f (θ)dθ

ͨͩ͠ɼ

ϕ(θ) = 1 F (θ) f (θ) ψ(θ) = 1l θ>θ

m

F(θ)

Ͱ͋Δɽϥάϥϯδϡؔ਺Λ e Ͱඍ෼͠ɼҰ֊৚݅Λߟྀ͢Ε͹ɼ

dL de =

θ

1

θ

0

[(

θ c

(l(θ, e)) ϕ(θ) + λ(e) ψ(θ) f (θ)

) ∂l

∂e (θ, e) λ(e) ɹ +λ

(e)

( ψ(θ)

f (θ) l(θ, e) e )]

f (θ)dθ

=

θ

1

θ

0

( λ(e))f (θ)dθ

= λ(e)

ͱͳΔɽ͜͜Ͱɼύϥϝʔλ e ͷ͍͔ͳΔ஋ʹରͯ͠΋߃౳తʹ

L(e) =

θ

1

θ

0

[θl(θ, e) c(l(θ, e)) ϕ(θ)l(θ, e)] f (θ)dθ W I (e) ΑΓɼ

dL

de = dW I (e)

de

(23)

Ͱ͋ΔɽނʹɼϖΠΦϑؔ਺ W I ͱϥάϥϯδϡ৐਺ λ ͷؒʹ͕࣍ࣜ੒Γཱͭɽ

dW I (e)

de = λ(e) < 0 (29)

͢ͳΘͪɼϖΠΦϑؔ਺ W I (e) ͸ݫີͳݮগؔ਺Ͱ͋Δɽ

࣍ʹɼ࠷େԽͷҰ֊৚݅ (17) ɾ (ICI”) ʹ͓͍ͯɼ (ICI”) ʹͷΈؚ·ΕΔ e ͷมԽ͸ɼ (17) ͷϥάϥϯδϡ৐਺ λ Λ௨ͯ͡࠷ద஋ؔ਺ l(θ) ʹ೾ٴ͢Δɽͦ͜Ͱ·ͣɼ (17) ͷ྆ลΛ λ Ͱ ඍ෼͢Δͱɼ

0 = c

′′

(l(θ)) ∂l

∂λ ψ(θ)

f (θ) ∂l

∂λ = ψ(θ)

c

′′

(l(θ))f (θ) (30) ͱͳΔɽଞํɼ λ ͸ θ ͔ΒಠཱͰ͋Δ͜ͱͱ ∂l/∂e = (∂l/∂λ)(dλ/de) Λߟྀͭͭ͠ (ICI”) ͷ

྆ลΛ e Ͱඍ෼͢Δͱɼ

θ

1

θ

0

∂l

∂λ

de ψ(θ)dθ = 1 de

θ

1

θ

0

∂l

∂λ ψ(θ)dθ = 1 (31)

ͱͳΔɽͦ͜Ͱɼ (31) ʹ (30) Λ୅ೖ͢Ε͹࣍ࣜΛಘΔɽ

de

θ

1

θ

0

(ψ(θ))

2

c

′′

(l(θ))f (θ) = 1 (32)

͜͜ͰɼԾఆΑΓ c

′′

( · ) > 0 ɼ f (θ) > 0 Ͱ͋Γɼ·ͨ ψ(θ) ͸ҰఆͰͳ͍͔Βɼ (32) ͷੵ෼͸ਖ਼ ͷ஋ΛͱΓɼΑͬͯɼ

de =

[∫ θ

1

θ

0

(ψ(θ))

2

c

′′

(l(θ))f (θ)

]

−1

> 0 (33)

ͱͳΔɽ͔ͯ͘͠ɼ (29) ͷ྆ลΛ e Ͱඍ෼͠ (33) Λߟྀ͢Ε͹࣍ࣜΛಘΔɽ d

2

W I (e)

de

2

= dλ(e)

de < 0 (34)

͢ͳΘͪɼϖΠΦϑؔ਺ W I (e) ͸ݫີͳԜؔ਺Ͱ͋Δɽ

ۜߦͷඅ༻ؔ਺ c( · ) ͕ݫີͳತͰ͋Γɼ͔ͭ৘ใऩू੍໿ (ICI’) ͕ l( · ) ͱ e ʹؔͯ͠ઢܗ Ͱ͋Δ͔Βɼ໰୊ʢ P

I

ʣͷղ͸Ұҙʹఆ·Δɽ

ʢ II-1 ʣ λ 1 ͷূ໌

͍·ɼ৘ใऩूίετ e ͕ de ͚ͩ૿Ճͨ͠৔߹Λߟ͑ɼۜߦͷ࠷ద൓Ԡͱɼ࠷ద൓Ԡʹٴ͹

ͳ͍͕ʢ suboptimal ʣ࣮ߦՄೳͳ൓ԠͱΛൺֱɾݕ౼͢Δ͜ͱʹΑΓূ໌Λߦ͏ɽ·ͣɼۜߦ

͕࠷దͳ൓ԠΛ͢Ε͹ɼۜߦͷϖΠΦϑ͸ W I (e +de) ͱͳΔɽ͜Εʹର͠ɼ࠷ద൓Ԡʹٴ͹ͳ

͍൓Ԡ͸࣍ͷΑ͏ʹ࣮ͯ͠ߦՄೳͰ͋Δɽ͢ͳΘͪɼ͢΂ͯͷ੍໿Λอ࣋ͭͭ͠ɼ͢΂ͯͷλ

Πϓͷاۀʹର͢ΔτϥϯεϑΝʔΛ de ͚ͩ૿΍͢͜ͱͰ͜Ε·ͰͱಉҰͷआೖεέδϡʔ

(24)

ϧΛҡ࣋͢Ε͹Α͍ɽ͜ΕʹΑΓɼاۀ͕৘ใऩू͔ΒಘΔωοτͷศӹ͸มԽͤͣɼ͔͠΋

ࢀՃ੍໿͸ຬͨ͞Εͨ··ͱͳΔɽ͜ͷ൓ԠʹΑΓۜߦͷϖΠΦϑ͸ɼ e ͷ্ঢલΑΓ de ͚ͩ

ݮগ͢ΔͨΊɼ W I (e) de ͱͳΔɽͦ͏͢Δͱɼ࠷ద൓ԠͷఆٛΑΓɼ࠷ద൓ԠʹΑΔϖΠΦ ϑ͸ɼͦΕҎ֎ͷ࣮ߦՄೳͳ൓ԠʹΑΔϖΠΦϑΛԼճΔ͜ͱ͸ͳ͍͔Βɼ࣍ࣜΛಘΔɽ

W I (e + de) W I (e) de W I

(e) ≥ − 1

ʢ II-2 ʣ୯ௐੑ (M) ͕ຬͨ͞ΕΔ৚݅

ୈ 3 અͷٞ࿦͔Β໌Β͔ͳΑ͏ʹɼϥάϥϯδϡ৐਺Λඇෛͷఆ਺ͱ͠ɼϥάϥϯδϡؔ਺

Λ࣍ͷΑ͏ʹදͯ͠΋෼ੳ݁Ռ͸ԿΒӨڹΛड͚ͳ͍ɽ

L(l, θ) = θl c(l) 1 F (θ) f (θ) l + λ

( l

f (θ) [1l θ>θ

m

F (θ)]

)

(35) ҎԼͰ͸ɼ θ > θ m ͷέʔεͱ θ θ m ͷέʔεʹ෼͚ͯ෼ੳ͢Δɽ

ʢ II-2-a ʣ θ > θ m ͷέʔε

͜ͷ৔߹ʹ͸ɼ 1l θ>θ

m

= 1 ΑΓɼϥάϥϯδϡؔ਺ (35) ͸ L(l, θ) = θl c(l) (1 λ) 1 F (θ)

f (θ) l

ͱͳΔɽͦ͏͢Δͱɼؔ਺ c( · ) ͷݫີͳತੑɼ୯ௐةݥ཰৚݅ (1) ͷԾఆɼ λ 1 ΑΓɼ࣍ͷ

݁Ռ͕ಘΒΕΔɽ

∂L

∂l = θ c

(l) (1 λ) 1 F (θ)

f (θ) = 0 ʢΦΠϥʔํఔࣜʣ

2

L

∂l

2

= c

′′

(l) < 0 ʢೋ֊৚݅ʣ

2

L

∂l∂θ = 1 (1 λ) d

( 1 F(θ) f (θ)

)

> 0 ʢަࠩඍ෼ʣ

ೋ֊৚݅ͱަࠩඍ෼ͷ݁ՌΑΓɼ࠷దղ l(θ) ͸ݫີͳ૿Ճؔ਺ͱͳΓɼͦΕނɼ୯ௐੑ৚݅

(M) ͸ݫີͳෆ౳߸Ͱຬͨ͞ΕΔɽ

ʢ II-2-b ʣ θ θ m ͷέʔε

͜ͷ৔߹ʹ͸ɼ 1l θ>θ

m

= 0 ΑΓɼϥάϥϯδϡؔ਺ (35) ͸

L(l, θ) = θl c(l) 1 F (θ)

f (θ) l λ F (θ)

f (θ) l

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