optimality of no-fault medical liability...

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Introduction Demand side cost sharing Supply side cost sharing Conclusion Optimality of no-fault medical liability systems Tina Kao 1 Rhema Vaithianathan 2 1 Australian National University 2 University of Auckland April 2010 Prepared for seminar at University of Tokyo, April 28th. T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 1 / 32

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Page 1: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Optimality of no-fault medical liability systems

Tina Kao1 Rhema Vaithianathan2

1Australian National University

2University of Auckland

April 2010Prepared for seminar at University of Tokyo, April 28th.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 1 / 32

Page 2: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Outline

Introduction & brief literature

Demand side cost sharing

third party vs. no fault —no fault optimalpartial liability —no fault optimalelastic demand for health care

no fault optimal if there are enough instrumentsif not, no fault optimal if demand not too elastic

Suppy side cost sharing

Conclusion

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 2 / 32

Page 3: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Malpractice Liability

General idea of liability regimes is to ensure that agents havesuffi cient incentives to “take care”

In most countries doctors face “liability” for accidents associated withmedical care (third-party liability)

Encourages them to internalise the risks to patients and take optimalcare

This is thought to increase “defensive”medicine

Counties with higher malpractice liability pressure have higher cesareanrates (Dubay et al, 1999)Spend more on treating heart disease patients with no effect onoutcomes (Kessler and McClellan, 1996)

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 3 / 32

Page 4: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Malpractice Liability

General idea of liability regimes is to ensure that agents havesuffi cient incentives to “take care”

In most countries doctors face “liability” for accidents associated withmedical care (third-party liability)

Encourages them to internalise the risks to patients and take optimalcare

This is thought to increase “defensive”medicine

Counties with higher malpractice liability pressure have higher cesareanrates (Dubay et al, 1999)Spend more on treating heart disease patients with no effect onoutcomes (Kessler and McClellan, 1996)

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 3 / 32

Page 5: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Malpractice Liability

General idea of liability regimes is to ensure that agents havesuffi cient incentives to “take care”

In most countries doctors face “liability” for accidents associated withmedical care (third-party liability)

Encourages them to internalise the risks to patients and take optimalcare

This is thought to increase “defensive”medicine

Counties with higher malpractice liability pressure have higher cesareanrates (Dubay et al, 1999)Spend more on treating heart disease patients with no effect onoutcomes (Kessler and McClellan, 1996)

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 3 / 32

Page 6: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Malpractice Liability

General idea of liability regimes is to ensure that agents havesuffi cient incentives to “take care”

In most countries doctors face “liability” for accidents associated withmedical care (third-party liability)

Encourages them to internalise the risks to patients and take optimalcare

This is thought to increase “defensive”medicine

Counties with higher malpractice liability pressure have higher cesareanrates (Dubay et al, 1999)Spend more on treating heart disease patients with no effect onoutcomes (Kessler and McClellan, 1996)

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 3 / 32

Page 7: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Malpractice Liability

General idea of liability regimes is to ensure that agents havesuffi cient incentives to “take care”

In most countries doctors face “liability” for accidents associated withmedical care (third-party liability)

Encourages them to internalise the risks to patients and take optimalcare

This is thought to increase “defensive”medicine

Counties with higher malpractice liability pressure have higher cesareanrates (Dubay et al, 1999)

Spend more on treating heart disease patients with no effect onoutcomes (Kessler and McClellan, 1996)

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 3 / 32

Page 8: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Malpractice Liability

General idea of liability regimes is to ensure that agents havesuffi cient incentives to “take care”

In most countries doctors face “liability” for accidents associated withmedical care (third-party liability)

Encourages them to internalise the risks to patients and take optimalcare

This is thought to increase “defensive”medicine

Counties with higher malpractice liability pressure have higher cesareanrates (Dubay et al, 1999)Spend more on treating heart disease patients with no effect onoutcomes (Kessler and McClellan, 1996)

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 3 / 32

Page 9: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

No Fault liability

New Zealand and Sweden have no-fault liability (φ)

Patients get compensated by taxpayers for accidents

Doctors face no liability at all

In general, this would lead to too little “defensive medicine”

Doctors will order too few tests etc.

New Zealand and Sweden are happy with their systems with nointention to reform whereas US has pressure for malpractice reform

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 4 / 32

Page 10: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

No Fault liability

New Zealand and Sweden have no-fault liability (φ)

Patients get compensated by taxpayers for accidents

Doctors face no liability at all

In general, this would lead to too little “defensive medicine”

Doctors will order too few tests etc.

New Zealand and Sweden are happy with their systems with nointention to reform whereas US has pressure for malpractice reform

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 4 / 32

Page 11: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

No Fault liability

New Zealand and Sweden have no-fault liability (φ)

Patients get compensated by taxpayers for accidents

Doctors face no liability at all

In general, this would lead to too little “defensive medicine”

Doctors will order too few tests etc.

New Zealand and Sweden are happy with their systems with nointention to reform whereas US has pressure for malpractice reform

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 4 / 32

Page 12: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

No Fault liability

New Zealand and Sweden have no-fault liability (φ)

Patients get compensated by taxpayers for accidents

Doctors face no liability at all

In general, this would lead to too little “defensive medicine”

Doctors will order too few tests etc.

New Zealand and Sweden are happy with their systems with nointention to reform whereas US has pressure for malpractice reform

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 4 / 32

Page 13: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

No Fault liability

New Zealand and Sweden have no-fault liability (φ)

Patients get compensated by taxpayers for accidents

Doctors face no liability at all

In general, this would lead to too little “defensive medicine”

Doctors will order too few tests etc.

New Zealand and Sweden are happy with their systems with nointention to reform whereas US has pressure for malpractice reform

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 4 / 32

Page 14: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

No Fault liability

New Zealand and Sweden have no-fault liability (φ)

Patients get compensated by taxpayers for accidents

Doctors face no liability at all

In general, this would lead to too little “defensive medicine”

Doctors will order too few tests etc.

New Zealand and Sweden are happy with their systems with nointention to reform whereas US has pressure for malpractice reform

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 4 / 32

Page 15: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Our Paper

In reality defensive medicine is subsidised by the insurer

Effect of third-party liability regimes is to increase cost sharing orsupply side incentives

E.g. Managed care which imposed supply side cost sharing for testshad the same effect as malpractice reform in lowering defensivemedicine (Kesller and McLellan, 2002)

Show that under some conditions no fault liability is optimal

Insurance is a better instrument than liability

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 5 / 32

Page 16: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Our Paper

In reality defensive medicine is subsidised by the insurer

Effect of third-party liability regimes is to increase cost sharing orsupply side incentives

E.g. Managed care which imposed supply side cost sharing for testshad the same effect as malpractice reform in lowering defensivemedicine (Kesller and McLellan, 2002)

Show that under some conditions no fault liability is optimal

Insurance is a better instrument than liability

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 5 / 32

Page 17: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Our Paper

In reality defensive medicine is subsidised by the insurer

Effect of third-party liability regimes is to increase cost sharing orsupply side incentives

E.g. Managed care which imposed supply side cost sharing for testshad the same effect as malpractice reform in lowering defensivemedicine (Kesller and McLellan, 2002)

Show that under some conditions no fault liability is optimal

Insurance is a better instrument than liability

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 5 / 32

Page 18: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Our Paper

In reality defensive medicine is subsidised by the insurer

Effect of third-party liability regimes is to increase cost sharing orsupply side incentives

E.g. Managed care which imposed supply side cost sharing for testshad the same effect as malpractice reform in lowering defensivemedicine (Kesller and McLellan, 2002)

Show that under some conditions no fault liability is optimal

Insurance is a better instrument than liability

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 5 / 32

Page 19: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Our Paper

In reality defensive medicine is subsidised by the insurer

Effect of third-party liability regimes is to increase cost sharing orsupply side incentives

E.g. Managed care which imposed supply side cost sharing for testshad the same effect as malpractice reform in lowering defensivemedicine (Kesller and McLellan, 2002)

Show that under some conditions no fault liability is optimal

Insurance is a better instrument than liability

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 5 / 32

Page 20: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Literature

Danzon (1985): effect of health insurance on doctor’s choice of testsversus effort in reducing accidents

Currie and MacLeod (2008) show that third-party liability affectsprocedure choice

No paper considers the problem of joint optimality of liability regimeand insurance

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 6 / 32

Page 21: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Literature

Danzon (1985): effect of health insurance on doctor’s choice of testsversus effort in reducing accidents

Currie and MacLeod (2008) show that third-party liability affectsprocedure choice

No paper considers the problem of joint optimality of liability regimeand insurance

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 6 / 32

Page 22: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Literature

Danzon (1985): effect of health insurance on doctor’s choice of testsversus effort in reducing accidents

Currie and MacLeod (2008) show that third-party liability affectsprocedure choice

No paper considers the problem of joint optimality of liability regimeand insurance

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 6 / 32

Page 23: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

The Basic Model: Agents

The National Health Insurer (NHI) provides health insurance tomaximise social welfare

in the form of reimbursed health expenditure (by choosing copay ratioθ)set tax rate R to balance budget

set income Y for the doctor to achieve Ud

patient faces risk of falling ill (π) and then has to be treated by adoctor

Upon falling ill, has probability p [d ] of facing treatment relatedaccident

doctor provides treatment

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 7 / 32

Page 24: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

The Basic Model: Agents

The National Health Insurer (NHI) provides health insurance tomaximise social welfare

in the form of reimbursed health expenditure (by choosing copay ratioθ)

set tax rate R to balance budget

set income Y for the doctor to achieve Ud

patient faces risk of falling ill (π) and then has to be treated by adoctor

Upon falling ill, has probability p [d ] of facing treatment relatedaccident

doctor provides treatment

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 7 / 32

Page 25: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

The Basic Model: Agents

The National Health Insurer (NHI) provides health insurance tomaximise social welfare

in the form of reimbursed health expenditure (by choosing copay ratioθ)set tax rate R to balance budget

set income Y for the doctor to achieve Ud

patient faces risk of falling ill (π) and then has to be treated by adoctor

Upon falling ill, has probability p [d ] of facing treatment relatedaccident

doctor provides treatment

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 7 / 32

Page 26: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

The Basic Model: Agents

The National Health Insurer (NHI) provides health insurance tomaximise social welfare

in the form of reimbursed health expenditure (by choosing copay ratioθ)set tax rate R to balance budget

set income Y for the doctor to achieve Ud

patient faces risk of falling ill (π) and then has to be treated by adoctor

Upon falling ill, has probability p [d ] of facing treatment relatedaccident

doctor provides treatment

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 7 / 32

Page 27: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

The Basic Model: Agents

The National Health Insurer (NHI) provides health insurance tomaximise social welfare

in the form of reimbursed health expenditure (by choosing copay ratioθ)set tax rate R to balance budget

set income Y for the doctor to achieve Ud

patient faces risk of falling ill (π) and then has to be treated by adoctor

Upon falling ill, has probability p [d ] of facing treatment relatedaccident

doctor provides treatment

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 7 / 32

Page 28: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

The Basic Model: Agents

The National Health Insurer (NHI) provides health insurance tomaximise social welfare

in the form of reimbursed health expenditure (by choosing copay ratioθ)set tax rate R to balance budget

set income Y for the doctor to achieve Ud

patient faces risk of falling ill (π) and then has to be treated by adoctor

Upon falling ill, has probability p [d ] of facing treatment relatedaccident

doctor provides treatment

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 7 / 32

Page 29: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

The Basic Model: Agents

The National Health Insurer (NHI) provides health insurance tomaximise social welfare

in the form of reimbursed health expenditure (by choosing copay ratioθ)set tax rate R to balance budget

set income Y for the doctor to achieve Ud

patient faces risk of falling ill (π) and then has to be treated by adoctor

Upon falling ill, has probability p [d ] of facing treatment relatedaccident

doctor provides treatment

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 7 / 32

Page 30: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

The Basic Model

We compare two regimes

1 In regime ∅ the NHI pays the patient the costs from a treatmentrelated accident

2 In regime III the doctor pays the patient

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 8 / 32

Page 31: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

The Basic Model

We compare two regimes

1 In regime ∅ the NHI pays the patient the costs from a treatmentrelated accident

2 In regime III the doctor pays the patient

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 8 / 32

Page 32: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Timing

1 NHI provides taxpayer funded health insurance to maximise consumerex ante welfare choosing health care copayment θ .

2 Tax rate (R) is set to satisfy the NHI budget constraint3 Nature moves and patient falls ill with probability π , patient visitsthe doctor

4 Wage rate (Y ) for the doctor is paid by NHI to provide doctor his

reservation utility Ud

5 Doctor delivers fixed curative care h using effort E and choosesquantity of preventive care (d).

6 Patient pays hθ for h and θd for defensive medicine.7 A treatment related accident occurs with probability p [d ] and theGovernment (doctor) pays the patient L in the ∅ (III ) regime.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 9 / 32

Page 33: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Timing

1 NHI provides taxpayer funded health insurance to maximise consumerex ante welfare choosing health care copayment θ .

2 Tax rate (R) is set to satisfy the NHI budget constraint

3 Nature moves and patient falls ill with probability π , patient visitsthe doctor

4 Wage rate (Y ) for the doctor is paid by NHI to provide doctor his

reservation utility Ud

5 Doctor delivers fixed curative care h using effort E and choosesquantity of preventive care (d).

6 Patient pays hθ for h and θd for defensive medicine.7 A treatment related accident occurs with probability p [d ] and theGovernment (doctor) pays the patient L in the ∅ (III ) regime.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 9 / 32

Page 34: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Timing

1 NHI provides taxpayer funded health insurance to maximise consumerex ante welfare choosing health care copayment θ .

2 Tax rate (R) is set to satisfy the NHI budget constraint3 Nature moves and patient falls ill with probability π , patient visitsthe doctor

4 Wage rate (Y ) for the doctor is paid by NHI to provide doctor his

reservation utility Ud

5 Doctor delivers fixed curative care h using effort E and choosesquantity of preventive care (d).

6 Patient pays hθ for h and θd for defensive medicine.7 A treatment related accident occurs with probability p [d ] and theGovernment (doctor) pays the patient L in the ∅ (III ) regime.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 9 / 32

Page 35: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Timing

1 NHI provides taxpayer funded health insurance to maximise consumerex ante welfare choosing health care copayment θ .

2 Tax rate (R) is set to satisfy the NHI budget constraint3 Nature moves and patient falls ill with probability π , patient visitsthe doctor

4 Wage rate (Y ) for the doctor is paid by NHI to provide doctor his

reservation utility Ud

5 Doctor delivers fixed curative care h using effort E and choosesquantity of preventive care (d).

6 Patient pays hθ for h and θd for defensive medicine.7 A treatment related accident occurs with probability p [d ] and theGovernment (doctor) pays the patient L in the ∅ (III ) regime.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 9 / 32

Page 36: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Timing

1 NHI provides taxpayer funded health insurance to maximise consumerex ante welfare choosing health care copayment θ .

2 Tax rate (R) is set to satisfy the NHI budget constraint3 Nature moves and patient falls ill with probability π , patient visitsthe doctor

4 Wage rate (Y ) for the doctor is paid by NHI to provide doctor his

reservation utility Ud

5 Doctor delivers fixed curative care h using effort E and choosesquantity of preventive care (d).

6 Patient pays hθ for h and θd for defensive medicine.7 A treatment related accident occurs with probability p [d ] and theGovernment (doctor) pays the patient L in the ∅ (III ) regime.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 9 / 32

Page 37: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Timing

1 NHI provides taxpayer funded health insurance to maximise consumerex ante welfare choosing health care copayment θ .

2 Tax rate (R) is set to satisfy the NHI budget constraint3 Nature moves and patient falls ill with probability π , patient visitsthe doctor

4 Wage rate (Y ) for the doctor is paid by NHI to provide doctor his

reservation utility Ud

5 Doctor delivers fixed curative care h using effort E and choosesquantity of preventive care (d).

6 Patient pays hθ for h and θd for defensive medicine.

7 A treatment related accident occurs with probability p [d ] and theGovernment (doctor) pays the patient L in the ∅ (III ) regime.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 9 / 32

Page 38: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Timing

1 NHI provides taxpayer funded health insurance to maximise consumerex ante welfare choosing health care copayment θ .

2 Tax rate (R) is set to satisfy the NHI budget constraint3 Nature moves and patient falls ill with probability π , patient visitsthe doctor

4 Wage rate (Y ) for the doctor is paid by NHI to provide doctor his

reservation utility Ud

5 Doctor delivers fixed curative care h using effort E and choosesquantity of preventive care (d).

6 Patient pays hθ for h and θd for defensive medicine.7 A treatment related accident occurs with probability p [d ] and theGovernment (doctor) pays the patient L in the ∅ (III ) regime.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 9 / 32

Page 39: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

The Model: Consumer’s utility

ex-ante utility

Ψi = (1− π)V [W − Ri ] + πUpi

where i ∈ {φ, III}

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 10 / 32

Page 40: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Ex post utility

Up = V [W −H − R + (1− θ) h− θd ]

−p [d ] (z + L) ,

V [.] - utility functionW −H - income after the health lossh - curative care; health improvementd - preventive care (“defensive medicine”)θ - copayment ratioR - the tax ratep [d ] - probability of a treatment related accident effect (p′ < 0,p(d)= p, p (0) = p)

z - uninsurable lossL - insurable loss

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 11 / 32

Page 41: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Preferences: Doctor

Cares about the patient’s health and out of pocket costs as well as hisown income

UdIII = YIII − E − p [d ] L+β (V [W −H + (1− θ) h− θd ]− p [d ] z)

Ud∅ = Y∅ − E +β (V [W −H + (1− θ) h− θd ]− p [d ] z)

assume 0 < β < 1T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 12 / 32

Page 42: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Preferences: Doctor

E is the fixed effort of providing h

Yi is set by the NHI to yield doctor his reservation utility of Ud

Y∅ < YIII

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 13 / 32

Page 43: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Preferences: Doctor

E is the fixed effort of providing h

Yi is set by the NHI to yield doctor his reservation utility of Ud

Y∅ < YIII

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 13 / 32

Page 44: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Preferences: Doctor

E is the fixed effort of providing h

Yi is set by the NHI to yield doctor his reservation utility of Ud

Y∅ < YIII

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 13 / 32

Page 45: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Preferences: NHI

Since doctor’s utility is fixed at Ud, maximising welfare is equivalent

to maximising Ψ

NHI’s budget constraint:

RIII = π ((1− θ) (h+ d) + YIII )

andR∅ = π ((1− θ) (h+ d) + p [d ] L+ Y∅) .

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 14 / 32

Page 46: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Preferences: NHI

Since doctor’s utility is fixed at Ud, maximising welfare is equivalent

to maximising ΨNHI’s budget constraint:

RIII = π ((1− θ) (h+ d) + YIII )

andR∅ = π ((1− θ) (h+ d) + p [d ] L+ Y∅) .

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 14 / 32

Page 47: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Demand for defensive medicine

d [θ] is the doctor’s optimal d in response to a patient facing θ

Depends on the regime

dIII [θ] = argmaxd−p [d ] L+ βUp

d∅ [θ] = argmaxd

βUp (1)

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 15 / 32

Page 48: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Under both regimes, patient receives L in the event of a treatmentrelated loss

In regime III , the doctor has to be compensated for facing a higherliability risk so YIII > Y∅

YIII = Ud+ E + p [dIII (θ)] L+ βUpIII

Y∅ = Ud+ E + βUp∅

This increased Y is paid for through higher R

In both regimes taxpayer eventually pays for L (either through higherY or directly).

Therefore, only difference is that regime III yields higher d for a givenθ.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 16 / 32

Page 49: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Under both regimes, patient receives L in the event of a treatmentrelated loss

In regime III , the doctor has to be compensated for facing a higherliability risk so YIII > Y∅

YIII = Ud+ E + p [dIII (θ)] L+ βUpIII

Y∅ = Ud+ E + βUp∅

This increased Y is paid for through higher R

In both regimes taxpayer eventually pays for L (either through higherY or directly).

Therefore, only difference is that regime III yields higher d for a givenθ.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 16 / 32

Page 50: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Under both regimes, patient receives L in the event of a treatmentrelated loss

In regime III , the doctor has to be compensated for facing a higherliability risk so YIII > Y∅

YIII = Ud+ E + p [dIII (θ)] L+ βUpIII

Y∅ = Ud+ E + βUp∅

This increased Y is paid for through higher R

In both regimes taxpayer eventually pays for L (either through higherY or directly).

Therefore, only difference is that regime III yields higher d for a givenθ.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 16 / 32

Page 51: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Under both regimes, patient receives L in the event of a treatmentrelated loss

In regime III , the doctor has to be compensated for facing a higherliability risk so YIII > Y∅

YIII = Ud+ E + p [dIII (θ)] L+ βUpIII

Y∅ = Ud+ E + βUp∅

This increased Y is paid for through higher R

In both regimes taxpayer eventually pays for L (either through higherY or directly).

Therefore, only difference is that regime III yields higher d for a givenθ.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 16 / 32

Page 52: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Under both regimes, patient receives L in the event of a treatmentrelated loss

In regime III , the doctor has to be compensated for facing a higherliability risk so YIII > Y∅

YIII = Ud+ E + p [dIII (θ)] L+ βUpIII

Y∅ = Ud+ E + βUp∅

This increased Y is paid for through higher R

In both regimes taxpayer eventually pays for L (either through higherY or directly).

Therefore, only difference is that regime III yields higher d for a givenθ.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 16 / 32

Page 53: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

-

6

r

rrr

0 θ

d∗[θ]

1

d

d∅(θ)

dIII (θ)

Figure: Best Response d(θ)T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 17 / 32

Page 54: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Optimality of no-fault

Consider a third-party liability system and the optimal θ whichmaximises welfare and implements some d

There exists a θ∗ < θ which implements d under no-fault

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 18 / 32

Page 55: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Optimality of no-fault

Consider a third-party liability system and the optimal θ whichmaximises welfare and implements some d

There exists a θ∗ < θ which implements d under no-fault

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 18 / 32

Page 56: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Ex post utility

Compare ex post utility under regimes III with ∅

UpIII = V[W −H + h− θ

(h+ d

)− RIII

]− p

[d]z

Up∅ = V[W −H + h− θ∗

(h+ d

)− R∅

]− p

[d]z

Regime ∅ provides more insurance since consumer gets(

θ − θ∗) (h+ d

)more in the event of falling ill

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 19 / 32

Page 57: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

Tax rates

Compare taxes under regimes III with ∅

RIII = π(1− θ

) (h+ d

)+ πYIII

= π(1− θ

) (h+ d

)+ πU

d+ πE + πp

(d)L

−πβ(V[W −H +

(1− θ

)h− θd

]− p

[d]z)

R∅ = π (1− θ∗)(h+ d

)+ πp

[d]L+ πY∅

= π (1− θ∗)(h+ d

)+ πp

[d]L+ πU

d+ πE

−πβ(V[W −H + (1− θ∗) h− θ∗d

]− p

[d]z)

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 20 / 32

Page 58: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

R∅ − RIII = π(

θ − θ∗) (h+ d

)−πε

where

ε = β(V[W −H + (1− θ∗) h− θ∗d

]− V

[W −H +

(1− θ

)h− θd

])Regime III costs more since consumer has to pay π

(θ − θ∗

) (h+ d

)− ε

more

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 21 / 32

Page 59: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

No Fault Insurance optimal

Ex-ante utility is higher under ∅ and θ∗

Since consumers are risk averse, they would be willing to pay a fairprice to transfer wealth from well state to sick

But, only has to pay(

θIII − θ∅

) (h+ d

)− πε

Therefore, welfare is higher under regime ∅ than under III

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 22 / 32

Page 60: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

No Fault Insurance optimal

Ex-ante utility is higher under ∅ and θ∗

Since consumers are risk averse, they would be willing to pay a fairprice to transfer wealth from well state to sick

But, only has to pay(

θIII − θ∅

) (h+ d

)− πε

Therefore, welfare is higher under regime ∅ than under III

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 22 / 32

Page 61: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

No Fault Insurance optimal

Ex-ante utility is higher under ∅ and θ∗

Since consumers are risk averse, they would be willing to pay a fairprice to transfer wealth from well state to sick

But, only has to pay(

θIII − θ∅

) (h+ d

)− πε

Therefore, welfare is higher under regime ∅ than under III

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 22 / 32

Page 62: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Thrid party vs. no fault

No Fault Insurance optimal

Ex-ante utility is higher under ∅ and θ∗

Since consumers are risk averse, they would be willing to pay a fairprice to transfer wealth from well state to sick

But, only has to pay(

θIII − θ∅

) (h+ d

)− πε

Therefore, welfare is higher under regime ∅ than under III

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 22 / 32

Page 63: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Partial liability

General liability regime

timing of the game is identical to that above but this time at stage 1,the NHI chooses α (and θ ).

α determines the share of liability imposed on the doctor

doctor pays α L and NHI pays (1− α) L in the event of an accident

α = 0 corresponds to the no-fault regime

α = 1: third party

Theorem

A no-fault system (α = 0) is optimal.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 23 / 32

Page 64: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Partial liability

General liability regime

timing of the game is identical to that above but this time at stage 1,the NHI chooses α (and θ ).

α determines the share of liability imposed on the doctor

doctor pays α L and NHI pays (1− α) L in the event of an accident

α = 0 corresponds to the no-fault regime

α = 1: third party

Theorem

A no-fault system (α = 0) is optimal.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 23 / 32

Page 65: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Partial liability

General liability regime

timing of the game is identical to that above but this time at stage 1,the NHI chooses α (and θ ).

α determines the share of liability imposed on the doctor

doctor pays α L and NHI pays (1− α) L in the event of an accident

α = 0 corresponds to the no-fault regime

α = 1: third party

Theorem

A no-fault system (α = 0) is optimal.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 23 / 32

Page 66: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Partial liability

General liability regime

timing of the game is identical to that above but this time at stage 1,the NHI chooses α (and θ ).

α determines the share of liability imposed on the doctor

doctor pays α L and NHI pays (1− α) L in the event of an accident

α = 0 corresponds to the no-fault regime

α = 1: third party

Theorem

A no-fault system (α = 0) is optimal.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 23 / 32

Page 67: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Partial liability

General liability regime

timing of the game is identical to that above but this time at stage 1,the NHI chooses α (and θ ).

α determines the share of liability imposed on the doctor

doctor pays α L and NHI pays (1− α) L in the event of an accident

α = 0 corresponds to the no-fault regime

α = 1: third party

Theorem

A no-fault system (α = 0) is optimal.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 23 / 32

Page 68: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Elasticity in demand for h

Elasticity in Demand for h

Suppose there is moral hazard effects on h and d

Lower θ leads to higher h and d

then is it always optimal to have α = 0?depends on the elasticity of demand for h

However, if the social planner can set different copayment ratio for hand d , α = 0 is still optimal

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 24 / 32

Page 69: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Elasticity in demand for h

Elasticity in Demand for h

Suppose there is moral hazard effects on h and d

Lower θ leads to higher h and d

then is it always optimal to have α = 0?depends on the elasticity of demand for h

However, if the social planner can set different copayment ratio for hand d , α = 0 is still optimal

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 24 / 32

Page 70: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Elasticity in demand for h

Elasticity in Demand for h

Suppose there is moral hazard effects on h and d

Lower θ leads to higher h and d

then is it always optimal to have α = 0?

depends on the elasticity of demand for h

However, if the social planner can set different copayment ratio for hand d , α = 0 is still optimal

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 24 / 32

Page 71: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Elasticity in demand for h

Elasticity in Demand for h

Suppose there is moral hazard effects on h and d

Lower θ leads to higher h and d

then is it always optimal to have α = 0?depends on the elasticity of demand for h

However, if the social planner can set different copayment ratio for hand d , α = 0 is still optimal

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 24 / 32

Page 72: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Elasticity in demand for h

Elasticity in Demand for h

Suppose there is moral hazard effects on h and d

Lower θ leads to higher h and d

then is it always optimal to have α = 0?depends on the elasticity of demand for h

However, if the social planner can set different copayment ratio for hand d , α = 0 is still optimal

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 24 / 32

Page 73: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Optimal Defensive Medicine

Define d1 as the level chosen by a fully informed and uninsuredconsumer who faces the full liability of the iatrogenic effect

d1 (the first best level) is where

−p′ [d ] (L+ z) = V ′ [W −H − d ]

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 25 / 32

Page 74: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Optimal Defensive Medicine

Define d1 as the level chosen by a fully informed and uninsuredconsumer who faces the full liability of the iatrogenic effect

d1 (the first best level) is where

−p′ [d ] (L+ z) = V ′ [W −H − d ]

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 25 / 32

Page 75: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Patient Uninsured, Doctor Fully Liable

θ = 1, and α = 1. In this case the doctor’s choice of d satisfies

−p′ [d ] (L+ βz) = βV ′ [W −H − d ]

For β = 1, d = d1. For β < 1, the choice of d

−p′ [d ] (L+ βz)β

= V ′ [W −H − d ]

and since

−p′ [d ] (L+ z) > −p′ [d ] (L+ βz)

β

d > d1.There is too much preventive medicine, since the doctor over-weightshis own liability compared to the cost faced by the patient.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 26 / 32

Page 76: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Patient Uninsured, Doctor Fully Liable

θ = 1, and α = 1. In this case the doctor’s choice of d satisfies

−p′ [d ] (L+ βz) = βV ′ [W −H − d ]

For β = 1, d = d1. For β < 1, the choice of d

−p′ [d ] (L+ βz)β

= V ′ [W −H − d ]

and since

−p′ [d ] (L+ z) > −p′ [d ] (L+ βz)

β

d > d1.

There is too much preventive medicine, since the doctor over-weightshis own liability compared to the cost faced by the patient.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 26 / 32

Page 77: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Patient Uninsured, Doctor Fully Liable

θ = 1, and α = 1. In this case the doctor’s choice of d satisfies

−p′ [d ] (L+ βz) = βV ′ [W −H − d ]

For β = 1, d = d1. For β < 1, the choice of d

−p′ [d ] (L+ βz)β

= V ′ [W −H − d ]

and since

−p′ [d ] (L+ z) > −p′ [d ] (L+ βz)

β

d > d1.There is too much preventive medicine, since the doctor over-weightshis own liability compared to the cost faced by the patient.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 26 / 32

Page 78: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Patient Uninsured, No-Fault Liability

θ = 1 and α = 0. In this case, the doctor’s choice of d satisfies

−p′ [d ] (βz) = βV ′ [W −H − d ] ,

and we have d < d1.

There is too little preventive medicine, since the doctor ignores theaccident loss L.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 27 / 32

Page 79: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Patient Uninsured, No-Fault Liability

θ = 1 and α = 0. In this case, the doctor’s choice of d satisfies

−p′ [d ] (βz) = βV ′ [W −H − d ] ,

and we have d < d1.

There is too little preventive medicine, since the doctor ignores theaccident loss L.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 27 / 32

Page 80: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Patient Fully Insured, Doctor Fully Liable

θ = 0 and α = 1. In this case the doctor’s choice of d satisfies

−p′ (d) (L+ βz) = 0.

For θ = 0, we have d = d > d1.

There is too much preventive medicine, since the doctor over-weightshis own liability and patients face no costs.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 28 / 32

Page 81: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Patient Fully Insured, Doctor Fully Liable

θ = 0 and α = 1. In this case the doctor’s choice of d satisfies

−p′ (d) (L+ βz) = 0.

For θ = 0, we have d = d > d1.

There is too much preventive medicine, since the doctor over-weightshis own liability and patients face no costs.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 28 / 32

Page 82: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Patient Fully Insured, Doctor Fully Liable

θ = 0 and α = 1. In this case the doctor’s choice of d satisfies

−p′ (d) (L+ βz) = 0.

For θ = 0, we have d = d > d1.

There is too much preventive medicine, since the doctor over-weightshis own liability and patients face no costs.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 28 / 32

Page 83: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Patient Fully Insured , No-Fault Liability

θ = 0 and α = 0. In this case the doctor’s choice of d satisfies

−p′ (d) (βz) = 0.

We again have d = d > d1.

There is too much preventive medicine, since the patients face nocosts.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 29 / 32

Page 84: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Patient Fully Insured , No-Fault Liability

θ = 0 and α = 0. In this case the doctor’s choice of d satisfies

−p′ (d) (βz) = 0.

We again have d = d > d1.

There is too much preventive medicine, since the patients face nocosts.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 29 / 32

Page 85: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Patient Fully Insured , No-Fault Liability

θ = 0 and α = 0. In this case the doctor’s choice of d satisfies

−p′ (d) (βz) = 0.

We again have d = d > d1.

There is too much preventive medicine, since the patients face nocosts.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 29 / 32

Page 86: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Ex post optimal defensive medicine

Summary

α = 0 α = 1θ = 0 d = d > d1 d = d > d1

θ = 1 d < d1 d > d1

Table: Summary of optimal d versus the doctor’s choice.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 30 / 32

Page 87: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Supply-Side Cost Sharing

Suppose patient is fully insured but doctor faces supply-side costsharing

Ud = Y − E − p [d ] αL− cd + βUp .

In this case, both c and α are policy instruments for the NHI toimplement d

We show that since doctor is risk neutral — α and c are substitutes

Confirms Kesller and McLellan (2002)’s view: Managed care whichimposed supply side cost sharing for tests had the same effect asmalpractice reform in lowering defensive medicine.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 31 / 32

Page 88: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Supply-Side Cost Sharing

Suppose patient is fully insured but doctor faces supply-side costsharing

Ud = Y − E − p [d ] αL− cd + βUp .

In this case, both c and α are policy instruments for the NHI toimplement d

We show that since doctor is risk neutral — α and c are substitutes

Confirms Kesller and McLellan (2002)’s view: Managed care whichimposed supply side cost sharing for tests had the same effect asmalpractice reform in lowering defensive medicine.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 31 / 32

Page 89: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Supply-Side Cost Sharing

Suppose patient is fully insured but doctor faces supply-side costsharing

Ud = Y − E − p [d ] αL− cd + βUp .

In this case, both c and α are policy instruments for the NHI toimplement d

We show that since doctor is risk neutral — α and c are substitutes

Confirms Kesller and McLellan (2002)’s view: Managed care whichimposed supply side cost sharing for tests had the same effect asmalpractice reform in lowering defensive medicine.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 31 / 32

Page 90: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Supply-Side Cost Sharing

Suppose patient is fully insured but doctor faces supply-side costsharing

Ud = Y − E − p [d ] αL− cd + βUp .

In this case, both c and α are policy instruments for the NHI toimplement d

We show that since doctor is risk neutral — α and c are substitutes

Confirms Kesller and McLellan (2002)’s view: Managed care whichimposed supply side cost sharing for tests had the same effect asmalpractice reform in lowering defensive medicine.

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 31 / 32

Page 91: Optimality of no-fault medical liability systemsweb.iss.u-tokyo.ac.jp/~matsumur/Tina2010slides.pdf · Tina Kao1 Rhema Vaithianathan2 1Australian National University 2University of

Introduction Demand side cost sharing Supply side cost sharing Conclusion

Conclusion

There are off-setting effects between liability regime and insuranceregime

Optimal liability regime has to take into account the effect on θ

Third partly liability makes it harder to provide more insurance

If there are enough instruments or if the moral hazard problem oncurative care is not too serious, no fault systems are optimal

T. Kao and R. Vaithianathan (ANU, UoA) No-fault systems April 2010 32 / 32