What are the Demographic Determinants of Savings? An Analysis on Transition Economies (1993-2013)

Doker, Aslı Cansın; Türkmen, Adem; Emsen, Ömer Selçuk

doi:10.1016/s2212-5671(16)30324-0

Cited by 13 publications

(11 citation statements)

References 13 publications

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“…Gross Domestic Savings GDS Share of GDP ; (Doker, Turkmena, & Emsenb, 2016); Domestic credit DOMCREDIT Share of GDP (Gök, 2014); (Hussein & Thirlwall, 1999);…”

Section: Resultsmentioning

confidence: 99%

“…Total Age dependency DEPTOT Ratio of dependents -people younger than 15 or older than 64 -to the working-age population (Khan & Abdullah, 2010); (Doker, Turkmena, & Emsenb, 2016…”

Section: Resultsmentioning

confidence: 99%

“…Urban population rate URBAN Percentage of total population (Doker, Turkmena, & Emsenb, 2016); (Gök, 2014);…”

Section: Resultsmentioning

confidence: 99%

“…Total Investment TOTINV Percentage of GDP (Esmail, 2014) Unemployment rate UNEMP Percentage of total labor force (ILO estimate) (Gatt, 2014); (Esmail, 2014); (Doker, Turkmena, & Emsenb, 2016);…”

Section: Resultsmentioning

confidence: 99%

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What Determines the Saving Rate in Western Balkan Countries?

Manjic¹

2017

ISJSS

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This paper presents the research of saving and its determinants in Western Balkan countries. The purpose of this paper is to investigate the relationship between various macroeconomic and demographic indicators, on the one side, and gross national saving rate in Western Balkan countries including Albania, Bosnia and Herzegovina, Bulgaria, Macedonia, Montenegro, Romania and Serbia, on the other side and, using the examples from available empirical literature, to develop the model which would produce the highest number of significant variables possible, given the available data. After the model is created, it is further tested for significance and typical statistical assumptions including autocorrelation, homoscedasticity, normality, cross-sectional independence and multicolinearity. Data used for the purpose of the statistical model are collected for the period between 2000 and 2015. Results obtained show GDP, GDP growth, gross domestic savings, domestic credit, inflation, urban population and total age dependency as statistically significant, while unemployment rate, deposit rate and investment rate are insignificant. According to the the model developed, Western Balkan countries should focus on contributing to their GDP's, increasing productivity and per capita incomes, in order to improve the rate of gross national savings.

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“…Gross Domestic Savings GDS Share of GDP ; (Doker, Turkmena, & Emsenb, 2016); Domestic credit DOMCREDIT Share of GDP (Gök, 2014); (Hussein & Thirlwall, 1999);…”

Section: Resultsmentioning

confidence: 99%

“…Total Age dependency DEPTOT Ratio of dependents -people younger than 15 or older than 64 -to the working-age population (Khan & Abdullah, 2010); (Doker, Turkmena, & Emsenb, 2016…”

Section: Resultsmentioning

confidence: 99%

“…Urban population rate URBAN Percentage of total population (Doker, Turkmena, & Emsenb, 2016); (Gök, 2014);…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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What Determines the Saving Rate in Western Balkan Countries?

Manjic¹

2017

ISJSS

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“…Niculescu-Aron and Mihaescu (2012) found the positive effect of the share of rural population on the level of private savings in the countries of Western Europe, whereas in the countries of Central and Eastern Europe the influence of this factor was minor. On the contrary, Doker et al (2016), analyzing data from 20 transition economies over 20 years, revealed a positive effect of the level of urbanization on the savings rate. At last, the study by Loayza et al (2000), based on panel data for 150 developed and developing countries over thirty years, did not confirm any significant impact of this factor on the savings rate.…”

Section: Literature Reviewmentioning

confidence: 94%

Determinants of Private Savings in the Form of Bank Deposits: A Case Study on Regions of the Russian Federation

Малкина

2019

Economies

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The paper is aimed at investigating the factors affecting the level of private deposits in banks in Russian regions and the verification of various theoretical concepts of personal savings. To achieve this purpose, we built a set of alternative Cobb–Douglas-type regressions with fixed time effects and logistic-type regressions based on panel data of 80 Russian regions from 2014–2016. Their estimations allowed us to reveal the dependence of private deposits in Russian regions at the level of real personal income and its structure, the personal income inequality, the demographic structure of the population, the state of the labor market, the level of accumulated wealth, the rate of urbanization, and the level of development of the financial system in the regions. Signs with variables summarize both direct and indirect effects of the input variables on the deposits, confirming some theoretical concepts and rejecting others, while the calculated elasticities show the strength of these effects. The results we obtained are applicable to the management of financial resources in Russian regions and the smoothing out of interregional differences in their development.

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