Ageing in the labour market: a spatial VAR approach

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2022-02-19 DOI:10.1080/17421772.2022.2036361

Massimo Giannini, Cristiana Fiorelli, B. Martini

引用次数: 1

Abstract

ABSTRACT This study examines the effects of ageing on per capita labour income, consumption and wealth of the working population in Italian provinces. Starting from the overlapping generations (OLG) model of perpetual youth, we estimate a spatial vector autoregressive (VAR) model to investigate how ageing affects the model’s dynamics. We find that ageing positively impacts per capita labour income and wealth, consequently having an adverse effect on consumption (over-accumulation). A simple exercise shows that over-accumulation is beneficial to the Italian social security system.

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劳动力市场的老龄化:一个空间VAR方法

摘要本研究考察了老龄化对意大利各省劳动人口人均劳动收入、消费和财富的影响。从永葆青春的重叠世代（OLG）模型开始，我们估计了一个空间向量自回归（VAR）模型，以研究衰老如何影响该模型的动力学。我们发现，老龄化对人均劳动收入和财富产生了积极影响，从而对消费产生了不利影响（过度积累）。一个简单的例子表明，过度积累对意大利的社会保障体系是有益的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.