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research papers published in the 2000s highlighted the role of other factors in making the elderly class of people among the income-poor alone, and not people who are both income and consumption-poor. It is the latter class of people the one who is the poorest among the older population. Those influencing factors are: the stock of assets and particularly the house property, the racial and scholarly background as well as the presence of family assistance network.
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Elderly dissaving is also influenced by the present factors that materially prevent them from the possibility of spending their previous savings. One of them is the loss of the driving license. An extended survey held in 1998, 2000, and 2002 among the U.S. retired citizens highlighted that "about 90%
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It is also relevant to distinguish elderly poor people in two basic tipologies: people who are poor on income, or those who are poor in terms of both income and consumption. While the life cycle hypothesis predicts the income and the consumption patterns of the elderly population, a series of
56:, the spread of mobile and easy-to-transfer money doesn't show any correlation with the level of saving for predictable events occurring in the future (such as consumption patterns during the
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of the trips among people older than age 65 are in a private vehicle" and that driving cessation was highly correlated (46% to 63%,
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According to another extended survey collected among "disadvantaged groups such as rural, female, less educated individuals" in
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Jonathan D. Fisher; David S. Johnson; Joseph T. Marchand; Timothy M. Smeeding; Barbara B. Torrey (November 1, 2009).
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421:(1966). "The Life Cycle Hypothesis of Saving, the Demand for Wealth and the Supply of Capital".
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for personal health emergencies and, in the second instance, for unpredictable events.
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Does Mobile Money Affect Saving
Behaviour? Evidence from a Developing Country
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381:(2005). "Franco Modigliani and the Life Cycle Theory of Consumption".
363:(Ninth ed.). New York: McGraw-Hill Irwin. pp. 339β343.
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Serge Ky; Clovis
Rugemintwari; Alain Sauviat (June 1, 2018).
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Driving
Cessation and Consumption Expenses in the Later Years
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Hyungsoo Kim; Virginia E. Richardson (November 1, 2006).
403:(Seventh ed.). New York: Worth. pp. 509β513.
327:. Vol. 1. New York: Elsevier. pp. 741β812.
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383:Banca Nazionale del Lavoro Quarterly Review
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189:Identifying the Poorest Older Americans
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82:"Older drivers and automobile safety"
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285:from the original on April 24, 2018.
41:) to a reduction in spending on non
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576:List of largest consumer markets
555:Random walk model of consumption
98:from the original on 2008-07-19.
91:Public Policy Institute. 2005.
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494:Final consumption expenditure
333:10.1016/S1574-0048(99)10019-3
550:Permanent income hypothesis
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560:Relative income hypothesis
540:Absolute income hypothesis
357:; Startz, Richard (2004).
325:Handbook of Macroeconomics
60:), while it increases the
504:Intertemporal consumption
125:10.1093/geronb/61.6.S347
524:Conspicuous consumption
323:(1999). "Consumption".
263:Oxford University Press
194:Oxford University Press
117:Oxford University Press
514:Autonomous consumption
509:Random walk hypothesis
119:. pp. S347βS353.
545:Life-cycle hypothesis
499:Instant gratification
271:10.1093/jafeco/ejx028
202:10.1093/geronb/gbp022
22:life-cycle hypothesis
489:Consumption function
265:. pp. 285β320.
196:. pp. 758β766.
519:Induced consumption
32:Theory and evidence
419:Modigliani, Franco
395:Mankiw, N. Gregory
389:(233β234): 91β107.
351:Dornbusch, RΓΌdiger
62:propensity to save
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68:References
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397:(2009).
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96:(PDF)
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303:help
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242:help
214:PMID
206:ISSN
173:help
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89:AARP
329:doi
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26:LCH
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