We examine household saving in the context of a prescriptive model. Using Survey of Consumer Finances data sets in the 1995–2004 period, 57% of households reported spending less than income. Many effects in the multivariate analysis are consistent with a prescriptive model. We discuss other effects in terms of possible differences in the ability to plan or the accuracy of reporting by the respondent. Young households are more likely to report saving than older households. Black households are less likely to report saving than white households. Single female households are less likely to report saving than single male households.
The purpose of this paper is to examine factors associated with changes in the proportion of households with high financial obligations ratios in the United States. The proportion of households paying more than 40% of income for debt, rent, vehicle leases, property taxes and homeowners’ insurance, which we refer to as having a heavy burden, increased from 18% in 1992 to 27% in 2007. Multivariate analysis of a combination of six Survey of Consumer Finances data sets indicates that the likelihood of having a heavy burden was positively associated with homeownership, self‐employment and retirement status. Those with an optimistic 5‐year expectation of the economy were more likely to be in a household with a heavy burden. Education was positively related to having a heavy burden, suggesting that having a heavy burden is not simply a cognitive error.
This study analyzed the relationship between financial knowledge and household saving behavior using the 2016 Survey of Consumer Finances (SCF) dataset. The results from a hierarchical model showed that both objective knowledge and perceived financial knowledge were positively related to the likelihood of being a saver. The explanatory power of the regression models increased significantly when financial knowledge variables were added. Furthermore, the results were robust across different measurements of household savings and additional analyses using the 2015 National Financial Capability Study (NFCS) dataset. Educators, policymakers, and financial institutions can benefit from these results as they develop programs, policies, and products to motivate and promote saving behavior.
The retirement income replacement ratio is projected using the Federal Reserve's Survey of Consumer Finances. On the basis of lognormal portfolio projections and current portfolio allocation, at least 44 per cent of pre-retired households will not be able to maintain 70 per cent of permanent income standard in retirement. Households planning to retire later and taking a high financial risk in savings and investments have a higher projected replacement ratio. Households having a high proportion of non-housing assets held in equity or bonds have a higher projected replacement ratio than those having a high proportion in cash equivalents.
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