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Saving, dependency and development

Overview of attention for article published in Journal of Population Economics, December 1996
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

policy
6 policy sources
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
101 Dimensions

Readers on

mendeley
37 Mendeley
Title
Saving, dependency and development
Published in
Journal of Population Economics, December 1996
DOI 10.1007/bf00573070
Pubmed ID
Authors

Allen C. Kelley, Robert M. Schmidt

Abstract

This study examines the impact of dependency on savings between 65 less developed countries (LDCs) and 23 developed countries over time and cross-sectionally since 1960. The study tests a modified Leff model and the Mason life-cycle framework. Empirical estimates address potential simultaneity between savings and output growth. The price indices of Summers and Heston are used because each country's national accounts are converted from nominal into purchasing-power variables. This eliminates the problems with using exchange rates which vary systematically by level of development with a "true" index of purchasing power. Savings (S/Y) is the percentage share of gross national saving in gross domestic product. Ygr is the growth of per capita income. Y/N gr is the growth in the per capita gross domestic product. Analysis is based on ordinary least squares (OLS) and two-stage least squares techniques, treatment for heteroscedascity, aggregation periods, several definitions of savings, different country samples, and aged dependency and youth dependency. Findings support the Mason variable-growth life-cycle framework that shows that changes in demographic factors accounted for a large part of savings. The relationships in the modified Leff-type model were weak, with the exception of the mildly negative youth and elderly dependency impact in the 1980s. The rate of growth of youth dependency was negative and significant in all cross-sections for the full sample, all panel estimates for both LDCs and the full sample, and in the 1980s for LDCs. In the OLS model, life-cycle effects were weaker, but direct dependency effects were stronger. S/Y over time became slightly more sensitive to changes in life cycle impacts but less sensitive to youth dependency. Demography's impact on savings over time is attributed to the increase in the pace of youth dependency decline and secondarily to its increasing sensitivity to life-cycle effects.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Doctoral Student 5 14%
Professor > Associate Professor 5 14%
Student > Master 4 11%
Student > Bachelor 4 11%
Other 5 14%
Unknown 7 19%
Readers by discipline Count As %
Economics, Econometrics and Finance 15 41%
Social Sciences 11 30%
Agricultural and Biological Sciences 1 3%
Philosophy 1 3%
Business, Management and Accounting 1 3%
Other 1 3%
Unknown 7 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 October 2021.
All research outputs
#1,752,443
of 25,559,053 outputs
Outputs from Journal of Population Economics
#95
of 807 outputs
Outputs of similar age
#1,569
of 92,916 outputs
Outputs of similar age from Journal of Population Economics
#1
of 1 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 807 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 92,916 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them