人口结构对劳动力参与率的直接和间接影响

Vera Gligorijevic, Aleksandar Knezevic, Damjan Bakic
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摘要

按教育程度和年龄划分的劳动力构成是劳动力参与率的重要决定因素。工作年龄人口的教育和年龄通过具体的活动率(直接影响)和根据教育和年龄类别的人口数量分布(间接影响)决定经济活动水平。人口结构和活动水平之间的基本关系的性质已经为人所熟知并得到解释,但在以前调查经济活动水平变化的著作中,缺乏将劳动力队伍一般活动率的价值差异分解为参与这种变化的各组成部分的贡献的分析。这将为公共政策和执行旨在扩大劳动力范围的措施创造空间。因此,这篇科学论文量化了2002-2021年期间劳动力的教育和年龄结构的间接(综合)和直接(行为)影响。假设对于活动水平的波动,行为效应的贡献更大,也就是说,与复合效应相比,在劳动力参与率下降(2002-2011年)和增长(2011-2021年)时,行为效应的影响都更大。该分析基于劳动力调查的数据,并使用人口统计学中经常使用的一般比率分解方法来量化影响的个人贡献。
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Direct and indirect effects of demographic structures on the labour force participation rate
The composition of the workforce according to education and age is an important determinant of the labour force participation rate. Education and age of the working-agepopulation determine the level of economic activity through specific activity rates (direct effect) and through the numerical distribution of the population according to educational and age categories (indirect effect). The nature of the basic relationship between demographic structures and the level of activity is already well known and explained, but in previous works in which changes in the level of economic activity were investigated, there is a lack of analyses that would break down the difference in the value of the general rate of activity of the labour contingent into the contribution of the components that participate in that change, which would create space for public policies and the implementation of measures aimed at expanding the scope of the workforce. Therefore, this scientific paper quantifies the indirect (composite) and direct (behavioural) effects of the educational and age structure of the workforce during the period 2002-2021. It is assumed that for oscillations in the level of activity there was a more significant contribution of behavioural effects, that is, compared to composite effects, they had a stronger influence both when the labour force participation rate was falling (2002-2011) and when it was growing (2011-2021). The analysis is based on data from the Labour Force Survey, and the method of decomposition of general rates, often used in demography, was used to quantify the individual contribution of effects.
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