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A Markov-switching structural vector autoregressive model of boom and bust in the Australian labour market

机译:澳大利亚劳动力市场繁荣与萧条的马尔可夫切换结构矢量自回归模型

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摘要

Major economic events, such as the global financial crisis, are episodes of identifiable duration that differ from other time periods. Using monthly data on the unemployment rate, labour force participation rate and employment for Australia for the period from 1978 to 2012, we estimate a Markov-switching SVAR model to examine the relationship between unemployment and labour force participation and the performance of the Australian labour market. Three distinct labour market regimes are identified. We find that the labour market switches between periods of low unemployment and high participation, prolonged periods of relative stability and short, sharp periods of high unemployment and low participation. A key finding is that, due to the behaviour of workers not in the labour force, the long-term effect of an upswing in labour hiring results in a lower unemployment rate and a lower labour force participation rate.
机译:重大经济事件(例如全球金融危机)是可以确定的持续时间,与其他时间段有所不同。使用有关1978年至2012年期间澳大利亚的失业率,劳动力参与率和就业的月度数据,我们估算了马尔可夫转换SVAR模型,以研究失业与劳动力参与率以及澳大利亚劳动力市场表现之间的关系。 。确定了三种不同的劳动力市场制度。我们发现,劳动力市场在低失业率和高参与度时期,相对稳定的长期时期以及高失业率和低参与度的短暂而尖锐的时期之间切换。一个关键的发现是,由于工人不在劳动力队伍中的行为,劳动力雇用人数增加的长期影响导致较低的失业率和较低的劳动力参与率。

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