Neuroeconomics of decision-making in the aging brain: the example of long-term care

Advances in Health Economics and Health Services Research

Volumn 20, Issue , 2008, Pages 203-225

  Hsu, Ming ^a   Lin, Hung Tai ^a   McNamara, Paul E ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

AGED; AGING; BRAIN; DECISION MAKING; ECONOMICS; FEMALE; GAME; HEALTH INSURANCE; HUMAN; MALE; PHYSIOLOGY; PSYCHOLOGICAL ASPECT; REVIEW;

AGED; AGED, 80 AND OVER; AGING; BRAIN; CHOICE BEHAVIOR; FEMALE; GAMES, EXPERIMENTAL; HUMANS; INSURANCE, LONG-TERM CARE; MALE;

EID: 56849090813     PISSN: 07312199     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0731-2199(08)20009-9     Document Type: Review

References (61)

1. American Association of Homes and Services for the Aging. Financing long-term care: A framework for America (2006), American Association of Homes and Services for the Aging, Washington, DC
2. Bäckman L., and Farde L. The role of dopamine systems in cognitive aging. In: Cabeza R., Nyberg L., and Park D.C. (Eds). Cognitive neuroscience of aging: Linking cognitive and cerebral aging (2005), Oxford University Press, Oxford, New York
3. Bechara A., Damasio H., and Damasio A.R. Emotion, decision making and the orbitofrontal cortex. Cerebral Cortex 10 3 (2000) 295-307
4. Bechara A., Tranel D., Damasio H., and Damasio A.R. Failure to respond autonomically to anticipated future outcomes following damage to prefrontal cortex. Cerebral Cortex 6 2 (1996) 215-225
5. Bleichrodt H., and Pinto J.L. The validity of qalys under non-expected utility. The Economic Journal 115 503 (2005) 533-550
6. Brown J., and Finkelstein A. Supply or demand: Why is the market for long-term care insurance so small? (2004), National Bureau of Economic Research, Inc. Working Paper
7. Brown, J. R., & Finkelstein, A. (2004b). The interaction of public and private insurance: Medicaid and the long-term care insurance market. Working Paper no. 10989.
8. Brown J.R., Kling J.R., Mullainathan S., and Wrobel M.V. Why don't people insure late life consumption: A framing explanation of the under-annuitization puzzle (2008), National Bureau of Economic Research, Inc. Working Paper
9. Browning M., and Crossley T.F. The life-cycle model of consumption and saving. Journal of Economic Perspectives 15 3 (2001) 3-22
10. Buckner R., Head D., Parker J., Fotenos A., Marcus D., Morris J., and Snyder A. A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: Reliability and validation against manual measurement of total intracranial volume. NeuroImage 23 2 (2004) 724-738
11. Buckner R.L. Three principles for cognitive aging research: Multiple causes and sequelae, variance in expression and response, and the need for integrative theory. In: Cabeza R., Nyberg L., and Park D. (Eds). Cognitive neuroscience of aging (2004), Oxford University Press, New York
12. Cabeza R., Nyberg L., and Park D.C. Cognitive neuroscience of aging: Linking cognitive and cerebral aging (2005), Oxford University Press, Oxford, New York
13. Camerer C., and Weber M. Recent developments in modeling preferences - Uncertainty and ambiguity. Journal of Risk and Uncertainty 5 4 (1992) 325-370
14. Camerer C.F. Prospect theory in the wild: Evidence from the field. In: Kahneman D., and Tversky A. (Eds). Choice, values, and frames (2001), Cambridge University Press, Cambridge
15. Cohen M., Jaffray J.Y., and Said T. Individual behavior under risk and under uncertainty: An experimental study. Theory and Decision 18 2 (1985) 203-228
16. Congressional Budget Office. Financing long-term care for the elderly (2004), Congressional Budget Office., Washington, DC
17. De Martino B., Kumaran D., Seymour B., and Dolan R.J. Frames, biases, and rational decision-making in the human brain. Science 313 5787 (2006) 684-687
18. Denburg N.L., Cole C.A., Hernandez M., Yamada T.H., Tranel D., Bechara A., and Wallace R.B. The orbitofrontal cortex, real-world decision making, and normal aging. Annals of the New York Academy of Sciences 1121 1 (2007) 480-498
19. Ellsberg D. Risk, ambiguity, and the savage axioms. Quarterly Journal of Economics 75 4 (1961) 643-669
20. Fabiani M., and Wee E. Age-related changes in working memory function: A review. In: Nelson C., and Luciana M. (Eds). Handbook of developmental cognitive neuroscience (2001), MIT Press, Cambridge, MA
21. Glimcher P.W., and Rustichini A. Neuroeconomics: The consilience of brain and decision. Science 306 5695 (2004) 447-452
22. Green L., Fry A.F., and Myerson J. Discounting of delayed rewards: A life-span comparison. Psychological Science 5 1 (1994) 33-36
23. Heckman J.J. The economics, technology, and neuroscience of human capability formation. Proceedings of the National Academy of Sciences, USA 104 33 (2007) 13250-13255
24. Hogarth R.M., and Kunreuther H. Risk, ambiguity, and insurance. Journal of Risk and Uncertainty 2 1 (1989) 5-35
25. Hsu M., Bhatt M., Adolphs R., Tranel D., and Camerer C.F. Neural systems responding to degrees of uncertainty in human decision-making. Science 310 5754 (2005) 1680-1683
26. Huettel S.A., Stowe C.J., Gordon E.M., Warner B.T., and Platt M.L. Neural signatures of economic preferences for risk and ambiguity. Neuron 49 5 (2006) 765-775
27. Kahneman D., and Tversky A. Prospect theory - Analysis of decision under risk. Econometrica 47 2 (1979) 263-291
28. Knutson B., Adams C.M., Fong G.W., and Hommer D. Anticipation of increasing monetary reward selectively recruits nucleus accumbens. Journal of Neuroscience 21 16 (2001) 159RC
29. Kovalchik S., Camerer C.F., Grether D.M., Plott C.R., and Allman J.M. Aging and decision making: A comparison between neurologically healthy elderly and young individuals. Journal of Economic Behavior and Organization 58 1 (2005) 79-94
30. Kramer A.F., Fabiani M., and Colcombe S. Contributions of cognitive neuroscience to the understanding of behavior and aging. In: Birren J.E., and Schaie K.W. (Eds). Handbook of the psychology of aging (2006), Academic Press, New York, NY
31. Laibson D. Golden eggs and hyperbolic discounting. Quarterly Journal of Economics 112 2 (1997) 443-477
32. Marquis M.S., and Holmer M.R. Alternative models of choice under uncertainty and demand for health insurance. The Review of Economics and Statistics 78 3 (1996) 421-427
33. Marron D.B. Medicaid spending growth and options for controlling costs (2006), Congressional Budget Office, Washington, DC
34. Mazur J.E. An adjusting procedure for studying delayed reinforcement. In: Commons M.L., Mazur J.E., Nevin J.A., and Rachlin H. (Eds). Quantitative analyses of behaviour: The effect of delay and of intervening events on reinforcement value (1987), Lawrence Erlbaum, Hillsdale, NJ
35. McClure S.M., Laibson D.I., Loewenstein G., and Cohen J.D. Separate neural systems value immediate and delayed monetary rewards. Science 306 5695 (2004) 503-507
36. McNamara P.E., and Lee N. Long-term care insurance policy dropping in the U.S. from 1996 to 2000: Evidence and implications for long-term care financing. Geneva Papers on Risk and Insurance - Issues and Practice 29 4 (2004) 640-651
37. Mukerji S. Risk, ambiguity and decision. The Economic Journal 113 485 (2003) F187-F188
38. Mulvey J., and Stucki B. Retirement planning for baby boomers: The role of long-term care insurance. Journal of Financial Service Professionals 53 5 (1999) 53-58
39. Newhouse J.P. Pricing the priceless: A health care conundrum (2002), MIT Press, Cambridge, MA
40. Odean T. Are investors reluctant to realize their losses?. The Journal of finance 53 5 (1998) 1775-1798
41. O'Doherty J., Critchley H., Deichmann R., and Dolan R.J. Dissociating valence of outcome from behavioral control in human orbital and ventral prefrontal cortices. Journal of Neuroscience 23 21 (2003) 7931-7939
42. O'Doherty J., Dayan P., Schultz J., Deichmann R., Friston K., and Dolan R.J. Dissociable roles of ventral and dorsal striatum in instrumental conditioning. Science 304 5669 (2004) 452-454
43. O'Donoghue T., and Rabin M. Doing it now or later. American Economic Review 89 1 (1999) 103-124
44. Peters, E., Finucane, M. L., MacGregor, D. G., & Slovic, P. (2000). The bearable lightness of aging: Judgment and decision processes in older adults. In: Commission on Behavioral and Social Sciences and Education (Ed.), The aging mind: Opportunities in cognitive research. Washington, DC: National Academy of Sciences.
45. Raiffa H. Risk, ambiguity, and the savage axioms - Comment. Quarterly Journal of Economics 75 4 (1961) 690-699
46. Raz N. The aging brain: Structural changes and their implications for cognitive aging. In: Dixon R.A., Bäckman L., and Nilsson L.-G. (Eds). New frontiers in cognitive aging (2004), Oxford University Press, Oxford, New York
47. Raz N. The aging brain observed in vivo: Differential changes and their modifiers. In: Cabeza R., Nyberg L., and Park D.C. (Eds). Cognitive neuroscience of aging: Linking cognitive and cerebral aging (2005), Oxford University Press, Oxford, NY
48. Read D., and Read N.L. Time discounting over the lifespan. Organizational Behavior and Human Decision Processes 94 1 (2004) 22-32
49. Robbins T.W., James M., Owen A.M., Sahakian B.J., Lawrence A.D., McInnes L., and Rabbitt P.M.A. A study of performance on tests from the CANTAB battery sensitive to frontal lobe dysfunction in a large sample of normal volunteers: Implications for theories of executive functioning and cognitive aging. Journal of the International Neuropsychological Society 4 5 (1998) 474-490
50. Samanez-Larkin G.R., Gibbs S.E.B., Khanna K., Nielsen L., Carstensen L.L., and Knutson B. Anticipation of monetary gain but not loss in healthy older adults. Nature Neuroscience 10 6 (2007) 787-791
51. Schretlen D., Pearlson G.D., Anthony J.C., Aylward E.H., Augustine A.M., Davis A., and Barta P. Elucidating the contributions of processing speed, executive ability, and frontal lobe volume to normal age-related differences in fluid intelligence. Journal of the International Neuropsychological Society 6 1 (2000) 52-61
52. Schultz W. Multiple reward signals in the brain. Nature Reviews Neuroscience 1 3 (2000) 199-207
53. Schultz W. Behavioral theories and the neurophysiology of reward. Annual Review of Psychology 57 (2006) 87-115
54. Schultz W., Tremblay L., and Hollerman J.R. Reward processing in primate orbitofrontal cortex and basal ganglia. Cerebral Cortex 10 3 (2000) 272-283
55. Sokol-Hessner, P., Hsu, M., Delgado, M. R., Camerer, C., & Phelps, E. A. (In progress). Intentional cognitive strategies reduce individuals' loss aversion. Proceedings of the National Academy of Sciences.
56. State Farm Insurance. (2006). Long-term care insurance [PDF Brochure]. State Farm 2006 [cited 2006]. Available at http://www.statefarm.com/_pdf/ltc/ZH_23558.pdf
57. Task Force on Long Term Health Care Policies. Report to the congress and the secretary (1987), Government Printing Office, Washington, DC
58. Thaler R.H., and Benartzi S. Save More Tomorrow (TM): Using behavioral economics to increase employee saving. Journal of Political Economy 112 1 (2004) S164-S587
59. Tom S.M., Fox C.R., Trepel C., and Poldrack R.A. The neural basis of loss aversion in decision-making under risk. Science 315 5811 (2007) 515-518
60. Tversky A., and Kahneman D. Advances in prospect-theory-cumulative representation of uncertainty. Journal of Risk and Uncertainty 5 4 (1992) 297-323
61. Verhoef L.C.G., Dehaan A.F.J., and Vandaal W.A.J. Risk attitude in gambles with years of life - Empirical support for prospect-theory. Medical Decision Making 14 2 (1994) 194-200