Determinants of the Europeans’ Retirement Savings

López, Sara Fernández; González, Luís Otero; Búa, Milagros Vivel; Rodeiro, David

doi:10.2139/ssrn.1523183

Cited by 2 publications

(1 citation statement)

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“…The results of the study conducted by Muradoglu and Taskin (1996) indicated that demographic variables such as age groups, birth rates, dependency ratio and financial variables such as interest rates, inflation rates, available financial instruments and initial wealth levels affected the decision of household savings significantly. Fernandez et al (2009) investigate the determinants of savings from eight countries in Europe. In accordance to the life-cycle economic approach that people tend to save more as they reach retirement, they have found that age has a positive impact on savings.…”

Section: Literature Reviewmentioning

confidence: 99%

Demographic Variables Influence on Household Participation on Small Savings in Indigenous Voluntary Organisations at Wolaita Sodo Town, Ethiopia

2019

EJBM

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Savings and credit scheme aims at poverty alleviation to the poor and low income families. Equb, Mahiber and Eddir are very old traditional institutions and indigenous voluntary organisations in Ethiopia that maintain their importance up to till today. Informal financial institutions such as Rotating Savings and Credit Associations (ROSCAs) and their participants have received growing attention over the last two decades. They become even more and more relevant as time goes on and as the economy becomes stronger. This study assessed the influence of demographic factors of saving behaviour of the household members of Wolaita Sodo town, Ethiopia. The study has been conducted on the basis of the primary data collected through structured questionnaire. The data was collected from 385 household who participate in the small savings survey at 95% confidence level. Judgemental sampling technique was used to choose the respondents. Questionnaire was prepared using five point Likert scale to measure the response on continuous scale. Descriptive and inferential statistics were used as data analysis tool. The analysis of variance of demographic variables on household participation on small savings showed that gender, marital status and educational status were statistically insignificant to predict the household participation on small savings whereas Age, expenditure factor, level of income and family size were statistically significant to predict household participation on small savings.

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Section: Literature Reviewmentioning

confidence: 99%