Aging citizens are required to make complex financial, health, and long-term decisions as they prepare for and then enjoy increasingly long periods of retirement. Moreover, as people age, there is a mismatch between the complexity of the decisions they face and the sometimes sudden, sometimes gradual cognitive declines that accompany aging. This project will develop new data that combines objective measures of behaviors and outcomes relating to wealth and portfolio choice, subjective measures of expectations, preferences, affect, measures of financial knowledge, and measures of cognition. By combining measurements across these domains, the project will develop a fuller understanding of the financial decision making and behavior of older Americans. The project will also advance the methodology for studying the behavior and decision making of older Americans by combining data from several modes: large-scale surveys conducted by mail, Internet, and telephone;laboratory experiments;cognitive interviewing;administrative records. Linking data for individual observations across these measurement modes will provide the fullest possible picture of the decision making and behavior, as well as enabling assessment and improvement of the methods of measurement. The methods advanced by the project for studying older Americans financial decision making will be extended to their healthcare decisionmaking. The financial crisis that began in the fall 2008 will have major effects on retirement finance. The project will study how the shocks to retirement assets have affected the retirement planning of older Americans and the well-being of retirees. Furthermore, the project will suggest and analyze innovations in retirement finance that better serve the needs of older Americans while addressing their need to make financial and other complex decisions while faced with the prospect of declining cognition.
Older Americans must make complex decisions. This project combines data and analysis of wealth and portfolio choice with cognitive measurements to improve the understanding of older Americans'decisionmaking. The project will lead to innovations in retirement finance that will improve the well-being of retirees confronted with financial needs compounded by diminishing cognitive capacity.
|Aufderheide, K J (2016) Refinements of and commentary on the silver staining techniques of FernÃ¡ndez-Galiano. Biotech Histochem 91:352-6|
|Levy, Helen; Janke, Alexander T; Langa, Kenneth M (2015) Health literacy and the digital divide among older Americans. J Gen Intern Med 30:284-9|
|Benjamin, Daniel J (2015) Distributional Preferences, Reciprocity-Like Behavior, and Efficiency in Bilateral Exchange. Am Econ J Microecon 7:70-98|
|Delavande, Adeline; Manski, Charles F (2015) Using Elicited Choice Probabilities in Hypothetical Elections to Study Decisions to Vote. Elect Stud 38:28-37|
|Delaney, Rebecca; Strough, JoNell; Parker, Andrew M et al. (2015) Variations in Decision-Making Profiles by Age and Gender: A Cluster-Analytic Approach. Pers Individ Dif 85:19-24|
|Bruine de Bruin, WÃ¤ndi; Strough, JoNell; Parker, Andrew M (2014) Getting older isn't all that bad: better decisions and coping when facing "sunk costs". Psychol Aging 29:642-7|
|Del Missier, Fabio; MÃ¤ntylÃ¤, Timo; Hansson, Patrik et al. (2013) The multifold relationship between memory and decision making: an individual-differences study. J Exp Psychol Learn Mem Cogn 39:1344-64|
|Hudomiet, PÃ©ter; Willis, Robert J (2013) Estimating Second Order Probability Beliefs from Subjective Survival Data. Decis Anal 10:|
|Hsu, Joanne W; Willis, Robert (2013) Dementia Risk and Financial Decision Making by Older Households: The Impact of Information. J Hum Cap 2013:45|
|Bruine de Bruin, WÃ¤ndi; Carman, Katherine G (2012) Measuring risk perceptions: what does the excessive use of 50% mean? Med Decis Making 32:232-6|
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