optimality of no-fault medical liability...
TRANSCRIPT
![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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/1.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/2.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/3.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/4.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/5.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/6.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/7.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/8.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/9.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/10.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/11.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/12.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/13.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/14.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/15.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/16.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/17.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/18.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/19.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/20.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/21.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/22.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/23.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/24.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/25.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/26.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/27.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/28.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/29.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/30.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/31.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/32.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/33.jpg)
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/70.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/71.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/72.jpg)
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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/73.jpg)
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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](https://reader034.vdocuments.mx/reader034/viewer/2022050408/5f856c99fc05db43c043d5b3/html5/thumbnails/90.jpg)
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
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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