Uncertainty, labour force participation and job search

IF 4.2 2区 经济学 Q1 ECONOMICS
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引用次数: 0

Abstract

This study examines the impact of labour force participation (LFP) on search behaviour and unemployment in response to uncertainty shocks. Using a Bayesian vector autoregression model, this study shows that an increase in uncertainty raises unemployment, lowers inflation and decreases LFP and search intensity. Then, a New Keynesian model that incorporates endogenous LFP and variable search intensity is constructed. Results show that both search intensity and participation are procyclical, which suggests a discouragement effect. However, with habit formation, the wealth effect outweighs the discouragement effect and induces an increase in LFP, resulting in a more significant decline in aggregate search intensity due to the expanded searcher pool. In the exogenous LFP model, search intensity is countercyclical, which dampens the unemployment rate. In the endogenous LFP model, the increased entry of non-participants cancels out the countercyclical search intensity of unemployed workers due to the large number of searchers.

不确定性、劳动力参与和求职
本研究探讨了劳动力参与(LFP)在不确定性冲击下对搜索行为和失业的影响。通过使用贝叶斯向量自回归模型,本研究表明,不确定性的增加会提高失业率、降低通货膨胀率并降低劳动力参与率和搜索强度。然后,构建了一个包含内生全要素生产率和可变搜索强度的新凯恩斯主义模型。结果表明,搜索强度和参与度都是顺周期的,这表明存在泄气效应。然而,随着习惯的养成,财富效应超过了挫伤积极性效应,并促使全要素生产率上升,从而使总搜索强度因搜索者队伍的扩大而出现更显著的下降。在外生全要素生产率模型中,搜索强度是反周期的,从而抑制了失业率。在内生全要素生产率模型中,由于搜寻者人数众多,非参与者的增加抵消了失业工人的反周期搜寻强度。
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来源期刊
Economic Modelling
Economic Modelling ECONOMICS-
CiteScore
8.00
自引率
10.60%
发文量
295
期刊介绍: Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.
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