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Moral Hazard Project Choice Models (Stiglitz, 1990) tension between - - PowerPoint PPT Presentation

Prologue Stiglitz Aniket Epilogue Prologue Stiglitz Aniket Epilogue Moral Hazard: actions undertaken while the project is underway. Moral Hazard Project Choice Models (Stiglitz, 1990) tension between the lenders and borrowers


slide-1
SLIDE 1

Prologue Stiglitz Aniket Epilogue

Moral Hazard

CREDIT & MICROFINANCE

  • Dr. Kumar Aniket

University of Cambridge

Lecture 3

c Kumar Aniket 1/24 Prologue Stiglitz Aniket Epilogue

Moral Hazard: actions undertaken while the project is underway.

  • Project Choice Models (Stiglitz, 1990)

– tension between the lender’s and borrower’s choice of project

  • Effort Choice Models (Aniket, 2006)

– tension between the lender’s and borrower’s choice of action

c Kumar Aniket 2/24 Prologue Stiglitz Aniket Epilogue

MORAL HAZARD: PROJECT CHOICE MODEL – STIGLITZ (1990)

Borrowers

Risk neutral Wealth-less Choose between safe and risky project Project Successful Failure Investment Interest

Prob. Output Prob. Output Sunk-Cost Scale

Risky pr βrL 1 − pr α L rL Safe ps βsL 1 − ps L rL

c Kumar Aniket 3/24 Prologue Stiglitz Aniket Epilogue

L Output

βr−βs α α βr α k

βrL − α Risky Project βsL Safe Project

Figure: Safe and Risky Projects

c Kumar Aniket 4/24

slide-2
SLIDE 2

Prologue Stiglitz Aniket Epilogue

BORROWER’S PAYOFF FROM THE TWO PROJECTS

Safe Project: Lower expected marginal return & 0 sunk cost

Vs = ps(βsL − rL)

Risky Project: Higher expected marginal return & α sunk cost

Vr = pr(βrL − rL) − α

Assumption

prβr − psβs = k

. . . difference in expected marginal return constant

c Kumar Aniket 5/24 Prologue Stiglitz Aniket Epilogue

INDIVIDUAL LENDING SWITCH LINE

Switch Line: Locus of contracts (r, L) along which the borrower is indifferent between risky and safe project

Vr > Vs pr(βrL − rL) − α > ps(βsL − rL) L > α ∆pr + k (Output threshold) Northeast of the switch line: Sunk cost investment α is

  • verwhelmed by increased expected marginal productivity of

risky project k and saving on the expected interest rate payment ∆pr.

c Kumar Aniket 6/24 Prologue Stiglitz Aniket Epilogue

L r

Figure: Switch Line

c Kumar Aniket 7/24 Prologue Stiglitz Aniket Epilogue

LENDER’S ZERO PROFIT CONDITION

Risk adjusted interest rate

r = ρ pi i = s, f (L-ZPC) Optimal Contract (r∗, L∗): Switch line & (L-ZPC)

Maximum loan size & Interest Rate

L∗ = α ∆p

  • ρ

ps

  • + k

r∗ = ρ ps

c Kumar Aniket 8/24

slide-3
SLIDE 3

Prologue Stiglitz Aniket Epilogue

L r

α ∆p ρ

ps +k

ρ ps ρ pr

Optimal Contract

b

Figure: Switch Line and Optimal Contract under Individual Lending

c Kumar Aniket 9/24 Prologue Stiglitz Aniket Epilogue

GROUP LENDING

Borrower’s payoffs

Vss = ps(βsL − rL) − ps(1 − ps)cL Vrr = pr(βrL − rL) − α − pr(1 − pr)cL Joint liability payment c incurred with probability pi(1 − pi) Payoffs ↓ due to the joint liability payment c Payoffs ↑ due to larger loans

c Kumar Aniket 10/24 Prologue Stiglitz Aniket Epilogue

GROUP LENDING SWITCH LINE

Group Lending Switch Line:

L = α ∆pr + k − ∆p(ps + pr − 1)c

Lender’s Zero Profit Condition:

r = ρ ps

1 − ps ps

  • c

Maximum Loan Size in Group Lending:

L∗ = α ∆p

  • ρ

ps

  • + k − ϕc

where ϕ = ∆p “ 1−ps

ps

+ (ps + pr − 1) ”

Joint liability payment lets borrowers get larger loans . . . L∗ is increasing in c

c Kumar Aniket 11/24 Prologue Stiglitz Aniket Epilogue

L r

α ∆p ρ

ps +k−ϕc

ρ ps

  • ρ

ps − (1−ps)c ps

  • Group Contract

b b

Figure: Switch Line and Optimal Contract under Group Lending

c Kumar Aniket 12/24

slide-4
SLIDE 4

Prologue Stiglitz Aniket Epilogue

PROJECT CHOICE SUMMARY

Lender curtails loan size to prevent borrowers undertaking risky loans with significantly high sunk cost

Individual liability loans

1

Borrower pay ρ

2

Lower risk exposure

3

Small Loans

Joint liability group loans

1

Borrower pay ρ

2

Higher risk exposure

3

Larger Loans May explain why we find the poorer section of our society are not able to undertake profitable investment

Borrowers interact cooperatively and not strategically amongst themselves Can lender do better by making the borrowers interact strategically amongst themselves

c Kumar Aniket 13/24 Prologue Stiglitz Aniket Epilogue

FIRST BEST

Project: −1 →

  • x

. . . πi . . . 1 − πi

Borrower chooses πi where πh > πl Private Benfits B with πl

Borrower’s Participation Constraint

πh(x − r) 0

Lender’s Zero Profit Constraint

r ρ πh x r

ρ πh

Contract Space Socially Viable Projects Figure: First Best

c Kumar Aniket 14/24 Prologue Stiglitz Aniket Epilogue

SECOND BEST

Borrower’s Participation Constraint

πh(x − r) 0

Lender’s Zero Profit Constraint

r ρ πh

Borrower’s Incentive Compatibility Constraint

πh(x − r) πl(x − r) + B x − r B ∆π x r

ρ πh

x −

B ∆π B ∆π

Contract Space Figure: Second Best

c Kumar Aniket 15/24 Prologue Stiglitz Aniket Epilogue

m borrower’s private benefits monitor’s monitoring costs m B(0)

45º

B(m)

m m B

Figure: Monitoring Function

c Kumar Aniket 16/24

slide-5
SLIDE 5

Prologue Stiglitz Aniket Epilogue

DELEGATED MONITORING

Borrower’s Participation Constraint

πh(x − r) 0

Lender’s Zero Profit Constraint

r ρ πh

Borrower’s Incentive Compatibility Constraint

πh(x − r) πl(x − r) + B x − r B ∆π

Monitor’s Incentive Compatibility Constraint

πhw − m πlw w m ∆π x r

ρ πh

x − B(m)−m

∆π m ∆π B(m) ∆π

Contract Space Figure: Delegated Monitoring

c Kumar Aniket 17/24 Prologue Stiglitz Aniket Epilogue

m borrower’s private benefits monitor’s monitoring costs m B(0)

45º 45º

B(m)

B(m*) m* m m* m* m

B(m)+m

Figure: Optimal Monitoring Level

c Kumar Aniket 18/24 Prologue Stiglitz Aniket Epilogue

SIMULTANEOUS GROUP LENDING

Multi-task environment:

Monitoring and exerting effort

Borrower’s payoff + when both projects succeed. Otherwise 0.

The contract space is determined by the following two constraints.

1

The individual borrower’s ICC for high effort when her peer exerts high effort and both choose m.

πhπh(x − r) − m πlπh(x − r) + B(m) − m

2

The group’s collective compatibility condition such that the group has the incentive to undertake both tasks collectively. (πh)2(x − r) − m (πl)2(x − r) + B(0) ։ r x −

1 πh∆π max [B(m), α(B(0) + m)] where α =

πh πh+πl c Kumar Aniket 19/24 Prologue Stiglitz Aniket Epilogue

B(0) αB(0)

msim m mseq

B(m) α(B(0)+m) m

A O B C D E

)

H G

x-r Figure: Monitoring Intensities in Group Lending

c Kumar Aniket 20/24

slide-6
SLIDE 6

Prologue Stiglitz Aniket Epilogue

SEQUENTIAL GROUP LENDING: ANIKET (2006)

Borrower 1 gets the loan while Borrower 2 is waiting for loan Borrower 2 only gets loan if the Borrower 1 succeeds Contract space determined by following constraints: r x − 1 πh∆π max

  • B(m), m
  • Only the more expensive individual task has to be

incentivised Group’s collective incentive constraint does not have to satisfied.

Borrowers are interacting strategically and not co-operatively

Borrower’s obtain lower rents and a larger surplus is created

c Kumar Aniket 21/24 Prologue Stiglitz Aniket Epilogue

SEQUENTIAL GROUP LENDING WITH ALMOST PERFECT INFORMATION

As monitoring becomes more efficient, we get closer to the first best world or to almost perfect information.

Simultaneous Lending

Payoff driven down to αB(0) Far from First Best

Sequential Lending

Payoffs driven down to 0. First Best Lender is able to reduce rent by lending sequentially A greater range of project would be financed under sequential lending

c Kumar Aniket 22/24 Prologue Stiglitz Aniket Epilogue

B(0,

β

) αB(0,

β

)

msim m mseq

B(m,

β

) α(B(0,

β

)+m) c

O

x-r

β

Figure: Monitoring Intensities as Monitoring Efficiency Increases

c Kumar Aniket 23/24 Prologue Stiglitz Aniket Epilogue

CONCLUSIONS

Stiglitz (1990)

Shows that cooperative group lending increases loan size

Aniket (2006)

With almost perfect information, cooperative group lending relatively inefficient shows sequential lending lower the productivity threshold to finance the projects

Especially useful if poorest have extremely low productivity project

c Kumar Aniket 24/24