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Aging and structural change

Authors: Ulrich Thießen;

Aging and structural change

Abstract

Many studies analyzed in depth how aging affects aggregate economic performance. But analyses of these effects on the employment structure are scarce and they do not consider that consumption patterns, the supply of goods and services, and also sectoral labor productivity are all likely to adjust to aging and will change. Hence, regression analysis of sectoral employment shares is proposed that controls for aging. For a large panel of countries and a long time period it is found that aging indeed affects relative employment of most sectors statistically highly significant either positive or negative. We also conclude that aging tends to accelerate ongoing structural change. This enables to derive specific policy implications. The approach could thus become a new method in forecasting employment and other effects of aging.

Keywords

Strukturwandel, Aging, structural change, panel regressions, Aging, Panel Regressions, ddc:330, Welt, J11, Sektorale Beschäftigungsstruktur, Structural Change, O57, Alternde Bevölkerung, Panel, C33, jel: jel:C33, jel: jel:J11, jel: jel:O57

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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