Life-cycle hypothesis, propensities to save, and demand for financial assets

Tin, Jan

doi:10.1007/bf02752707

Cited by 19 publications

(26 citation statements)

References 32 publications

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“…For old school and earnings were positively associated family size and dependency ratio associated negative [17]. The results of research conducted in accordance with Tin (2000), especially for income levels. Tin (2000) showed that the change in conditions sociodemografi (age, education, race, gender, children, the status of the region and marital status) will have a significant influence on the behavior of individual savings in the money market.…”

Section: Introductionsupporting

confidence: 61%

“…Various studies on the effect of family size and socio-economic conditions on the demand for money a household show the same or different results [13], [14], [15]. Family size has positive influence on the consumption of durable goods and the demand for households holding cash money but negatively related to financial investment.…”

Section: Introductionmentioning

confidence: 96%

“…Tin (2000) showed that the change in conditions sociodemografi (age, education, race, gender, children, the status of the region and marital status) will have a significant influence on the behavior of individual savings in the money market. This is supported by the results of the regression stating that the desire to save between different individuals, depending on their socioeconomic conditions [13].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Demographics and Demand Holding Cash Money

Mubarak¹,

Benyamin²,

Fattah³

et al. 2017

IOSR JEF

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Section: Introductionsupporting

confidence: 61%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Demographics and Demand Holding Cash Money

Mubarak¹,

Benyamin²,

Fattah³

et al. 2017

IOSR JEF

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“…Ownership of financial products, and thereby membership of consumer segments, is often related to demographic variables such as age and income (Browning & Lusardi, 1996;Guiso et al, 2002;Javalgi & Dion, 1999;Ramaswamy et al, 1996;Tin, 2000). We assessed effects of four demographic variables: age, marital status, income, and type of community.…”

Section: Effects Of Demographic Variablesmentioning

confidence: 99%

Country and consumer segmentation: multi-level latent class analysis of financial product ownership

Bijmolt

Paas

Vermunt

2004

International Journal of Research in Marketing

122

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The financial services sector has internationalized over the last few decades. Important differences and similarities in financial behavior can be anticipated between both consumers within a particular country and those living in different countries. For companies in this market, the appropriate choice between strategic options and the resulting international performance may critically depend on the cross-national market structure of the various financial products. Insight into country segments and international consumer segments based on domain-specific behavioral variables will therefore be of key strategic importance. We present a multi-level latent class framework for obtaining simultaneously such country and consumer segments. In an empirical study, we apply this methodology and several alternative modeling approaches to data on ownership of eight financial products. Information is available for 15 European countries, with a sample size of about 1000 consumers per country. We find that both country segments and consumer segments are highly interpretable. Also, consumer segmentation is related to demographic variables such as age and income. Our conclusions feature implications, both academic and managerial, and directions for future research. D

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“…Half of all households with children were asset poor when housing was not included in the calculation of assets; the proportion of families with children who were in asset poverty dropped to 33% when home equity was included in the definition of assets (Aratani and Chau 2010). Further, the experience of asset poverty differed with differences in race, education, homeownership, and family structure (McKernan and Ratcliffe 2005;Tin 2000;Xiao 1997). Carroll (1997) augmented the life cycle/permanent income hypothesis model to account for individuals' income uncertainty and impatience.…”

Section: Background and Motivationmentioning

confidence: 99%

Is Household Wealth Sustainable? An Examination of Asset Poverty Reentry After an Exit

Leonard

2013

J Fam Econ Iss

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This paper analyzed the influence of financial behaviors on the duration out of asset poverty while controlling for households' life cycle and demographic characteristics. We found evidence for the existence of structural barriers to asset acquisition. Asset accumulation at or above levels equal to nine-months worth of income at the incomepoverty level was important for improving a household's odds of permanently escaping asset poverty, but a linear relationship between asset accumulation and the likelihood of returning to asset poverty did not emerge. Moreover, minimizing debt and diversifying the asset portfolio to include more productive assets were positively related to maintaining assets; but households should also consider the risks associated with portfolio allocations.

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Life-cycle hypothesis, propensities to save, and demand for financial assets

Cited by 19 publications

References 32 publications

Demographics and Demand Holding Cash Money

Demographics and Demand Holding Cash Money

Country and consumer segmentation: multi-level latent class analysis of financial product ownership

Is Household Wealth Sustainable? An Examination of Asset Poverty Reentry After an Exit

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