American Institute of Mathematical Sciences

Advanced
  • Previous Article
    Bounds for spectral radius of nonnegative tensors using matrix-digragh-based approach
  • JIMO Home
  • This Issue
  • Next Article
    Financing and ordering decisions in a capital-constrained and risk-averse supply chain for the monopolist and non-monopolist supplier
doi: 10.3934/jimo.2021031
Online First

Online First articles are published articles within a journal that have not yet been assigned to a formal issue. This means they do not yet have a volume number, issue number, or page numbers assigned to them, however, they can still be found and cited using their DOI (Digital Object Identifier). Online First publication benefits the research community by making new scientific discoveries known as quickly as possible.

Readers can access Online First articles via the “Online First” tab for the selected journal.

Optimal health insurance with constraints under utility of health, wealth and income

Yan Zhang 1, , Yonghong Wu 2, and  Haixiang Yao 1,,

1. 

School of Finance, Guangdong University of Foreign Studies, Guangzhou 510006, China
2. 

Department of Mathematics and Statistics, Curtin University, Western Australia 6845, Australia

* Corresponding author: Haixiang Yao

Received  July 2020 Revised  October 2020 Early access February 2021

Fund Project: This research work is supported by the National Natural Science Foundation of China (Nos. 12001119, 71871071, 72071051), the Natural Science Foundation of Guangdong Province of China (Nos. 2017A030313399, 2018B030311004), and the Featured Innovation Project (Youth Foundation) of Guangdong University of Foreign Studies (19QN21)

We consider an optimal health insurance design problem with constraints under utility of health, wealth and income. The preference framework we establish herein describes the trade-off among health, wealth and income explicitly, which is beneficial to distinguish health insurance design from other nonlife insurance designs. Moreover, the work takes into account the case that if the insured is severely or critically ill, the insured may not fully recover even after necessary medical treatment. By taking these special features into account, the health insurance design problem is formulated as a constrained optimization problem, and the optimal solutions are derived by using the Lagrange multiplier method and optimal control technique. Finally, two numerical examples are given to illustrate our results. Our research work gives new insights into health insurance design.

Keywords: Optimal health insurance, expected utility, shocks to health status, wealth, income, indemnity, deductible.
Mathematics Subject Classification: Primary: 91B30, 97M30; Secondary: 46N10, 47N10.
Citation: Yan Zhang, Yonghong Wu, Haixiang Yao. Optimal health insurance with constraints under utility of health, wealth and income. Journal of Industrial & Management Optimization, doi: 10.3934/jimo.2021031
References:
[1]

K. J. Arrow, Uncertainty and the welfare economics of medical care, American Economic Review, 53 (1963), 941-973.   Google Scholar

[2]

K. J. Arrow, Essays in the Theory of Risk-Bearing, North-Holland Publishing Co., Amsterdam-London, 1970.  Google Scholar

[3]

K. J. Arrow, Optimal insurance and generalized deductibles, Scandinavian Actuarial Journal, 1974 (1974), 1-42.  doi: 10.1080/03461238.1974.10408659.  Google Scholar

[4]

C. Bernard, X. He, J.-A. Yan and X. Y. Zhou, Optimal insurance design under rank-dependent expected utility, Mathematical Finance, 25 (2015), 154-186.  doi: 10.1111/mafi.12027.  Google Scholar

[5]

T. J. Besley, Optimal reimbursement health insurance and the theory of Ransey taxation, Journal of Health Economics, 7 (1988), 321-336.  doi: 10.1016/0167-6296(88)90019-7.  Google Scholar

[6]

S. Bhargava, G. Loewenstein and J. Sydnor, Choose to lose: Health plan choices form a menu with dominated option, Quarterly Journal of Economics, 132 (2017), 1319-1372.  doi: 10.1093/qje/qjx011.  Google Scholar

[7]

A. Blomqvist, Optimal non-linear health insurance, Journal of Health Economics, 16 (1997), 303-321.  doi: 10.1016/S0167-6296(96)00529-2.  Google Scholar

[8]

N. A. Doherty and H. Schlesinger, Optimal insurance in incomplete markets, Journal of Political Economy, 91 (1983), 1045-1054.  doi: 10.1086/261199.  Google Scholar

[9]

D. Doiron and N. Kettlewell, Family formation and demand for health insurance, Health Economics, 29 (2020), 523-533.  doi: 10.1002/hec.4000.  Google Scholar

[10]

R. P. Ellis, S. Jiang and W. G. Manning, Optimal health insurance for multiple goods and time periods, Journal of Health Economics, 41 (2015), 89-106.  doi: 10.1016/j.jhealeco.2015.01.007.  Google Scholar

[11]

Y. Fan, The solution of the optimal insurance problem with background risk, Journal of Function Spaces, 2019, Art. ID 2759398, 5 pp. doi: 10.1155/2019/2759398.  Google Scholar

[12]

A. Finkelstein, E. F. P. Luttmer and M. J. Notowidigdo, What good is wealth without health? The effect of health on the marginal utility of consumption, Journal of the European Economic Association, 11 (2013), 221-258.  doi: 10.1111/j.1542-4774.2012.01101.x.  Google Scholar

[13]

A. Finkelstein, N. Hendren and M. Shepard, Subsidizing health insurance for low-income adults: evidence from massachusetts, American Economic Review, 109 (2019), 1530-1567.  doi: 10.1257/aer.20171455.  Google Scholar

[14]

V. R. Fuchs and R. J. Zeckhauser, Valuing health: A priceless commodity, American Economic Review Papers and Proceedings, 77 (1987), 263-268.   Google Scholar

[15]

M. Gerfin, Health insurance and the demand for healthcare, Oxford Research Encyclopedia of Economics and Finance, 1 (2019), 1-22.   Google Scholar

[16]

C. Gollier and H. Schlesinger, Arrow's theorem on the optimality of deductibles: A stochastic dominance approach, Economic Theory, 7 (1996), 359-363.   Google Scholar

[17]

R. E. Hall and C. I. Jones, The value of life and the rise in health spending, Quarterly Journal of Economics, 122 (2007), 39-72.  doi: 10.1162/qjec.122.1.39.  Google Scholar

[18]

T. Y. Ho, P. A. Fishman and Z. B. Zabinsky, Using a game-theoretic approach to design optimal health insurance for chronic disease, IISE Transactions on Healthcare System Engineering, 9 (2019), 26-40.   Google Scholar

[19]

K. Lee, Wealth, income, and optimal insurance, Journal of Risk and Insurance, 74 (2007), 175-184.  doi: 10.1111/j.1539-6975.2007.00206.x.  Google Scholar

[20]

M. Levy and A. R. Nir, The utility of health and wealth, Journal of Health Economics, 31 (2012), 379-392.  doi: 10.1016/j.jhealeco.2012.02.003.  Google Scholar

[21]

T. Li and X. Wang, Connotation and realizing route of Healthy China, Health Economics Research, 1 (2016), 4-10.  doi: 10.1002/rwm3.20392.  Google Scholar

[22]

Z. Lu, S. Meng, L. Liu and Z. Han, Optimal insurance design under background risk with dependence, Insurance: Mathematics and Economics, 80 (2018), 15-28.  doi: 10.1016/j.insmatheco.2018.02.006.  Google Scholar

[23]

H. Markowitz, The utility of wealth, Journal of Political Economy, 60 (1952), 151-156.  doi: 10.1086/257177.  Google Scholar

[24]

K. S. Moore and V. R. Young, Optimal insurance in a continuous-time model, Insurance: Mathematics and Economics, 39 (2006), 47-68.  doi: 10.1016/j.insmatheco.2006.01.009.  Google Scholar

[25]

J. Mossin, Aspects of rational insurance purchasing, Journal of Political Economy, 76 (1968), 552-568.  doi: 10.1086/259427.  Google Scholar

[26]

C. E. Phelps, The Demand for Health Insurance: A Theoretical and Empirical Investigation, Rand Corporation, Santa Monica, Report R-1054-OEO, 1973. Google Scholar

[27]

J. S. Pliskin, D. S. Shepard and M. C. Weinstein, Utility functions for life years and health status, Operations Research, 28 (1980), 206-224.  doi: 10.1287/opre.28.1.206.  Google Scholar

[28]

S. D. Promislow and V. R. Young, Unifying framework for optimal insurance, Insurance: Mathematics and Economics, 36 (2005), 347-364.  doi: 10.1016/j.insmatheco.2005.04.003.  Google Scholar

[29]

X. Qiao and Y. Hu, Health expectancy of chinese elderly and provincial variabilities, Population & Development, 23 (2017), 2-18.   Google Scholar

[30]

A. Raviv, The design of an optimal insurance policy, American Economic Review, 69 (1979), 84-96.   Google Scholar

[31]

V. L. Smith, Optimal insurance coverage, Journal of Political Economy, 76 (1968), 68-77.  doi: 10.1086/259382.  Google Scholar

[32]

M. Spence and R. Zeckhauser, Insurance, information, and individual action, American Economic Review, 61 (1971), 380-387.   Google Scholar

[33]

S. Wu, Y. Luo, X. Qiu and M. Bao, Building a healthy China by enhancing physical activity: Priorities, challenges, and strategies, Journal of Sport and Health Science, 6 (2017), 125-126.  doi: 10.1016/j.jshs.2016.10.003.  Google Scholar

[34]

W. K. Viscussi and W. N. Evans, Utility functions that depend on health status: Estimates and economic implications, American Economic Review, 80 (1990), 353-374.   Google Scholar

[35]

Z. Q. Xu, X. Y. Zhou and S. C. Zhuang, Optimal insurance under rank-dependent utility and incentive compatibility, Mathematical Finance, 29 (2019), 659-692.  doi: 10.1111/mafi.12185.  Google Scholar

[36]

J. Yan, Why does China's government basic medical insurance system enhance the development of commercial health insurance?, Chinese Review of Financial Studies, 2 (2018), 1-15+221. Google Scholar

[37]

V. R. Young, Optimal insurance under Wang's premium principle, Insurance: Mathematics and Economics, 25 (1999), 109-122.  doi: 10.1016/S0167-6687(99)00012-8.  Google Scholar

[38]

R. Zeckhauser, Medical insurance: A case study of the tradeoff between risk spreading and appropriate incentives, Journal of Economic Theory, 2 (1970), 10-26.   Google Scholar

[39]

Y. Zhang, Dynamic research on the health level of the elderly in China under the background of Healthy China: Based on CHARLS data empirical analysis, Northwest Population, 40 (2018), 50-59.   Google Scholar

[40]

Y. Zhang and Y. Wu, Optimal health insurance and trade-off between health and wealth, Journal of Applied Mathematics, 2020, Art. ID 2658213, 9 pp. doi: 10.1155/2020/2658213.  Google Scholar

[41]

Y. Zheng, T. Vukina and X. Zheng, Estimating asymmetric information effects in health care with uninsurable costs, International Journal of Health Economics and Management, 19 (2019), 79-98.  doi: 10.1007/s10754-018-9246-z.  Google Scholar

[42]

C. Zhou and C. Wu, Optimal insurance under the insurer's risk constraint, Insurance: Mathematics and Economics, 42 (2008), 992-999.  doi: 10.1016/j.insmatheco.2007.11.005.  Google Scholar

[43]

C. Zhou, W. Wu and C. Wu, Optimal insurance in the presence of insurer's loss limit, Insurance: Mathematics and Economics, 46 (2010), 300-307.  doi: 10.1016/j.insmatheco.2009.11.002.  Google Scholar

show all references

References:
[1]

K. J. Arrow, Uncertainty and the welfare economics of medical care, American Economic Review, 53 (1963), 941-973.   Google Scholar

[2]

K. J. Arrow, Essays in the Theory of Risk-Bearing, North-Holland Publishing Co., Amsterdam-London, 1970.  Google Scholar

[3]

K. J. Arrow, Optimal insurance and generalized deductibles, Scandinavian Actuarial Journal, 1974 (1974), 1-42.  doi: 10.1080/03461238.1974.10408659.  Google Scholar

[4]

C. Bernard, X. He, J.-A. Yan and X. Y. Zhou, Optimal insurance design under rank-dependent expected utility, Mathematical Finance, 25 (2015), 154-186.  doi: 10.1111/mafi.12027.  Google Scholar

[5]

T. J. Besley, Optimal reimbursement health insurance and the theory of Ransey taxation, Journal of Health Economics, 7 (1988), 321-336.  doi: 10.1016/0167-6296(88)90019-7.  Google Scholar

[6]

S. Bhargava, G. Loewenstein and J. Sydnor, Choose to lose: Health plan choices form a menu with dominated option, Quarterly Journal of Economics, 132 (2017), 1319-1372.  doi: 10.1093/qje/qjx011.  Google Scholar

[7]

A. Blomqvist, Optimal non-linear health insurance, Journal of Health Economics, 16 (1997), 303-321.  doi: 10.1016/S0167-6296(96)00529-2.  Google Scholar

[8]

N. A. Doherty and H. Schlesinger, Optimal insurance in incomplete markets, Journal of Political Economy, 91 (1983), 1045-1054.  doi: 10.1086/261199.  Google Scholar

[9]

D. Doiron and N. Kettlewell, Family formation and demand for health insurance, Health Economics, 29 (2020), 523-533.  doi: 10.1002/hec.4000.  Google Scholar

[10]

R. P. Ellis, S. Jiang and W. G. Manning, Optimal health insurance for multiple goods and time periods, Journal of Health Economics, 41 (2015), 89-106.  doi: 10.1016/j.jhealeco.2015.01.007.  Google Scholar

[11]

Y. Fan, The solution of the optimal insurance problem with background risk, Journal of Function Spaces, 2019, Art. ID 2759398, 5 pp. doi: 10.1155/2019/2759398.  Google Scholar

[12]

A. Finkelstein, E. F. P. Luttmer and M. J. Notowidigdo, What good is wealth without health? The effect of health on the marginal utility of consumption, Journal of the European Economic Association, 11 (2013), 221-258.  doi: 10.1111/j.1542-4774.2012.01101.x.  Google Scholar

[13]

A. Finkelstein, N. Hendren and M. Shepard, Subsidizing health insurance for low-income adults: evidence from massachusetts, American Economic Review, 109 (2019), 1530-1567.  doi: 10.1257/aer.20171455.  Google Scholar

[14]

V. R. Fuchs and R. J. Zeckhauser, Valuing health: A priceless commodity, American Economic Review Papers and Proceedings, 77 (1987), 263-268.   Google Scholar

[15]

M. Gerfin, Health insurance and the demand for healthcare, Oxford Research Encyclopedia of Economics and Finance, 1 (2019), 1-22.   Google Scholar

[16]

C. Gollier and H. Schlesinger, Arrow's theorem on the optimality of deductibles: A stochastic dominance approach, Economic Theory, 7 (1996), 359-363.   Google Scholar

[17]

R. E. Hall and C. I. Jones, The value of life and the rise in health spending, Quarterly Journal of Economics, 122 (2007), 39-72.  doi: 10.1162/qjec.122.1.39.  Google Scholar

[18]

T. Y. Ho, P. A. Fishman and Z. B. Zabinsky, Using a game-theoretic approach to design optimal health insurance for chronic disease, IISE Transactions on Healthcare System Engineering, 9 (2019), 26-40.   Google Scholar

[19]

K. Lee, Wealth, income, and optimal insurance, Journal of Risk and Insurance, 74 (2007), 175-184.  doi: 10.1111/j.1539-6975.2007.00206.x.  Google Scholar

[20]

M. Levy and A. R. Nir, The utility of health and wealth, Journal of Health Economics, 31 (2012), 379-392.  doi: 10.1016/j.jhealeco.2012.02.003.  Google Scholar

[21]

T. Li and X. Wang, Connotation and realizing route of Healthy China, Health Economics Research, 1 (2016), 4-10.  doi: 10.1002/rwm3.20392.  Google Scholar

[22]

Z. Lu, S. Meng, L. Liu and Z. Han, Optimal insurance design under background risk with dependence, Insurance: Mathematics and Economics, 80 (2018), 15-28.  doi: 10.1016/j.insmatheco.2018.02.006.  Google Scholar

[23]

H. Markowitz, The utility of wealth, Journal of Political Economy, 60 (1952), 151-156.  doi: 10.1086/257177.  Google Scholar

[24]

K. S. Moore and V. R. Young, Optimal insurance in a continuous-time model, Insurance: Mathematics and Economics, 39 (2006), 47-68.  doi: 10.1016/j.insmatheco.2006.01.009.  Google Scholar

[25]

J. Mossin, Aspects of rational insurance purchasing, Journal of Political Economy, 76 (1968), 552-568.  doi: 10.1086/259427.  Google Scholar

[26]

C. E. Phelps, The Demand for Health Insurance: A Theoretical and Empirical Investigation, Rand Corporation, Santa Monica, Report R-1054-OEO, 1973. Google Scholar

[27]

J. S. Pliskin, D. S. Shepard and M. C. Weinstein, Utility functions for life years and health status, Operations Research, 28 (1980), 206-224.  doi: 10.1287/opre.28.1.206.  Google Scholar

[28]

S. D. Promislow and V. R. Young, Unifying framework for optimal insurance, Insurance: Mathematics and Economics, 36 (2005), 347-364.  doi: 10.1016/j.insmatheco.2005.04.003.  Google Scholar

[29]

X. Qiao and Y. Hu, Health expectancy of chinese elderly and provincial variabilities, Population & Development, 23 (2017), 2-18.   Google Scholar

[30]

A. Raviv, The design of an optimal insurance policy, American Economic Review, 69 (1979), 84-96.   Google Scholar

[31]

V. L. Smith, Optimal insurance coverage, Journal of Political Economy, 76 (1968), 68-77.  doi: 10.1086/259382.  Google Scholar

[32]

M. Spence and R. Zeckhauser, Insurance, information, and individual action, American Economic Review, 61 (1971), 380-387.   Google Scholar

[33]

S. Wu, Y. Luo, X. Qiu and M. Bao, Building a healthy China by enhancing physical activity: Priorities, challenges, and strategies, Journal of Sport and Health Science, 6 (2017), 125-126.  doi: 10.1016/j.jshs.2016.10.003.  Google Scholar

[34]

W. K. Viscussi and W. N. Evans, Utility functions that depend on health status: Estimates and economic implications, American Economic Review, 80 (1990), 353-374.   Google Scholar

[35]

Z. Q. Xu, X. Y. Zhou and S. C. Zhuang, Optimal insurance under rank-dependent utility and incentive compatibility, Mathematical Finance, 29 (2019), 659-692.  doi: 10.1111/mafi.12185.  Google Scholar

[36]

J. Yan, Why does China's government basic medical insurance system enhance the development of commercial health insurance?, Chinese Review of Financial Studies, 2 (2018), 1-15+221. Google Scholar

[37]

V. R. Young, Optimal insurance under Wang's premium principle, Insurance: Mathematics and Economics, 25 (1999), 109-122.  doi: 10.1016/S0167-6687(99)00012-8.  Google Scholar

[38]

R. Zeckhauser, Medical insurance: A case study of the tradeoff between risk spreading and appropriate incentives, Journal of Economic Theory, 2 (1970), 10-26.   Google Scholar

[39]

Y. Zhang, Dynamic research on the health level of the elderly in China under the background of Healthy China: Based on CHARLS data empirical analysis, Northwest Population, 40 (2018), 50-59.   Google Scholar

[40]

Y. Zhang and Y. Wu, Optimal health insurance and trade-off between health and wealth, Journal of Applied Mathematics, 2020, Art. ID 2658213, 9 pp. doi: 10.1155/2020/2658213.  Google Scholar

[41]

Y. Zheng, T. Vukina and X. Zheng, Estimating asymmetric information effects in health care with uninsurable costs, International Journal of Health Economics and Management, 19 (2019), 79-98.  doi: 10.1007/s10754-018-9246-z.  Google Scholar

[42]

C. Zhou and C. Wu, Optimal insurance under the insurer's risk constraint, Insurance: Mathematics and Economics, 42 (2008), 992-999.  doi: 10.1016/j.insmatheco.2007.11.005.  Google Scholar

[43]

C. Zhou, W. Wu and C. Wu, Optimal insurance in the presence of insurer's loss limit, Insurance: Mathematics and Economics, 46 (2010), 300-307.  doi: 10.1016/j.insmatheco.2009.11.002.  Google Scholar

Figure 1.  Optimal indemnity under Exponential loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 2.  Optimal indemnity under Pareto loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 3.  Sensitivity of $ d^{*} $ w.r.t. income $ y $ under Exponential loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 4.  Sensitivity of $ d^{*} $ w.r.t. safety loading $ \rho $ under Exponential loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 5.  Sensitivity of $ d^{*} $ w.r.t. degree of health degeneration $ \theta $ under Exponential loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 6.  Sensitivity of $ d^{*} $ w.r.t. upper limit on coverage $ K $ under Exponential loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 7.  Sensitivity of $ d^{*} $ w.r.t. current health status $ h $ under Exponential loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 8.  Sensitivity of $ d^{*} $ w.r.t. current wealth $ w $ under Exponential loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 9.  Sensitivity of $ d^{*} $ w.r.t. income $ y $ under Pareto loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 10.  Sensitivity of $ d^{*} $ w.r.t. safety loading $ \rho $ under Pareto loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 11.  Sensitivity of $ d^{*} $ w.r.t. degree of health degeneration $ \theta $ under Pareto loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 12.  Sensitivity of $ d^{*} $ w.r.t. upper limit on coverage $ K $ under Pareto loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 13.  Sensitivity of $ d^{*} $ w.r.t. current health status $ h $ under Pareto loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 14.  Sensitivity of $ d^{*} $ w.r.t. current wealth $ w $ under Pareto loss distribution
Figure Options

Download full-size image

Download as PowerPoint slide

Table 1.  Parameter values for the illustration model
Parameter Symbol Value
the probability that the insured gets mild illness and $ \Theta = 0 $ $ p_{1} $ 0.50
the probability that the insured gets severe illness or critical illness and $ \Theta = \theta $ $ p_{2} $ 0.05
safety loading $ \rho $ 0.3
upper limit on coverage $ K $ 10
initial wealth $ w $ 15
initial income $ y $ 4
discount factor $ \delta $ 0.9
reduced income level $ \alpha $ 0.5
initial health status $ h $ 0.9
severity of health degeneration after treatment $ \theta $ 0.2
Table Options

Download as excel

Parameter Symbol Value
the probability that the insured gets mild illness and $ \Theta = 0 $ $ p_{1} $ 0.50
the probability that the insured gets severe illness or critical illness and $ \Theta = \theta $ $ p_{2} $ 0.05
safety loading $ \rho $ 0.3
upper limit on coverage $ K $ 10
initial wealth $ w $ 15
initial income $ y $ 4
discount factor $ \delta $ 0.9
reduced income level $ \alpha $ 0.5
initial health status $ h $ 0.9
severity of health degeneration after treatment $ \theta $ 0.2
[1]

Lin He, Zongxia Liang. Optimal pension decision under heterogeneous health statuses and bequest motives. Journal of Industrial & Management Optimization, 2017, 13 (4) : 1641-1659. doi: 10.3934/jimo.2017011
[2]

Grace Gao, Sasank Maganti, Karen A. Monsen. Older adults, frailty, and the social and behavioral determinants of health. Big Data & Information Analytics, 2017  doi: 10.3934/bdia.2017012
[3]

Christine Burggraf, Wilfried Grecksch, Thomas Glauben. Stochastic control of individual's health investments. Conference Publications, 2015, 2015 (special) : 159-168. doi: 10.3934/proc.2015.0159
[4]

Julien Arino, Chris Bauch, Fred Brauer, S. Michelle Driedger, Amy L. Greer, S.M. Moghadas, Nick J. Pizzi, Beate Sander, Ashleigh Tuite, P. van den Driessche, James Watmough, Jianhong Wu, Ping Yan. Pandemic influenza: Modelling and public health perspectives. Mathematical Biosciences & Engineering, 2011, 8 (1) : 1-20. doi: 10.3934/mbe.2011.8.1
[5]

Avner Friedman, Najat Ziyadi, Khalid Boushaba. A model of drug resistance with infection by health care workers. Mathematical Biosciences & Engineering, 2010, 7 (4) : 779-792. doi: 10.3934/mbe.2010.7.779
[6]

Lin Xu, Rongming Wang, Dingjun Yao. On maximizing the expected terminal utility by investment and reinsurance. Journal of Industrial & Management Optimization, 2008, 4 (4) : 801-815. doi: 10.3934/jimo.2008.4.801
[7]

Jingzhen Liu, Ka-Fai Cedric Yiu, Tak Kuen Siu, Wai-Ki Ching. Optimal insurance in a changing economy. Mathematical Control & Related Fields, 2014, 4 (2) : 187-202. doi: 10.3934/mcrf.2014.4.187
[8]

Bruno Buonomo, Giuseppe Carbone, Alberto d'Onofrio. Effect of seasonality on the dynamics of an imitation-based vaccination model with public health intervention. Mathematical Biosciences & Engineering, 2018, 15 (1) : 299-321. doi: 10.3934/mbe.2018013
[9]

Vincenzo Capasso, Sebastian AniȚa. The interplay between models and public health policies: Regional control for a class of spatially structured epidemics (think globally, act locally). Mathematical Biosciences & Engineering, 2018, 15 (1) : 1-20. doi: 10.3934/mbe.2018001
[10]

Ebenezer Bonyah, Samuel Kwesi Asiedu. Analysis of a Lymphatic filariasis-schistosomiasis coinfection with public health dynamics: Model obtained through Mittag-Leffler function. Discrete & Continuous Dynamical Systems - S, 2020, 13 (3) : 519-537. doi: 10.3934/dcdss.2020029
[11]

Semih Yalçındağ, Ettore Lanzarone. Merging short-term and long-term planning problems in home health care under continuity of care and patterns for visits. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021029
[12]

Hao Chang, Jiaao Li, Hui Zhao. Robust optimal strategies of DC pension plans with stochastic volatility and stochastic income under mean-variance criteria. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021025
[13]

John Leventides, Iraklis Kollias. Optimal control indicators for the assessment of the influence of government policy to business cycle shocks. Journal of Dynamics & Games, 2014, 1 (1) : 79-104. doi: 10.3934/jdg.2014.1.79
[14]

Yiling Chen, Baojun Bian. optimal investment and dividend policy in an insurance company: A varied bound for dividend rates. Discrete & Continuous Dynamical Systems - B, 2019, 24 (9) : 5083-5105. doi: 10.3934/dcdsb.2019044
[15]

Yiling Chen, Baojun Bian. Optimal dividend policy in an insurance company with contagious arrivals of claims. Mathematical Control & Related Fields, 2021, 11 (1) : 1-22. doi: 10.3934/mcrf.2020024
[16]

Xiaoyu Xing, Caixia Geng. Optimal investment-reinsurance strategy in the correlated insurance and financial markets. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021120
[17]

Nan Zhang, Linyi Qian, Zhuo Jin, Wei Wang. Optimal stop-loss reinsurance with joint utility constraints. Journal of Industrial & Management Optimization, 2021, 17 (2) : 841-868. doi: 10.3934/jimo.2020001
[18]

Lv Chen, Hailiang Yang. Optimal reinsurance and investment strategy with two piece utility function. Journal of Industrial & Management Optimization, 2017, 13 (2) : 737-755. doi: 10.3934/jimo.2016044
[19]

Zilan Liu, Yijun Wang, Ya Huang, Jieming Zhou. Optimal portfolios for the DC pension fund with mispricing under the HARA utility framework. Journal of Industrial & Management Optimization, 2022  doi: 10.3934/jimo.2021228
[20]

Daniel Matthes, Giuseppe Toscani. Analysis of a model for wealth redistribution. Kinetic & Related Models, 2008, 1 (1) : 1-27. doi: 10.3934/krm.2008.1.1

2020 Impact Factor: 1.801

Tools

Metrics

  • PDF downloads (297)
  • HTML views (405)
  • Cited by (0)

Other articles
by authors

[Back to Top]

Copyright © 2022 American Institute of Mathematical Sciences | Privacy Policy