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Cyclical dynamics of industrial production and employment: Markov chain-based estimates and test

机译:工业生产和就业的周期性动态:基于马尔可夫链的估计和测试

摘要

This paper characterizes the business cycle as a recurring Markov chain for a broad set of developed and developing countries. The objective is to understand differences in cyclical phenomena across a broad range of countries based on the behavior of two key economic times series - industrial production and employment. The Markov chain approach is a parsimonious approach that allows us to examine the cyclical dynamics of different economic time series using limited judgment on the issue. Time homogeneity and time dependence tests are implemented to determine the stationarity and dependence properties of the series. Univariate processes for industrial production and employment growth are estimated individually and a composite indicator that combines information on these series is also constructed. Tests of equality of the estimated Markov chains across countries are also implemented to identify similarities and differences in the cyclical dynamics of the relevant series.
机译:本文将商业周期描述为广泛的发达国家和发展中国家的循环马尔可夫链。目的是根据两个重要的经济时代序列(工业生产和就业)的行为,了解广泛国家中周期性现象的差异。马尔可夫链方法是一种简化方法,它使我们可以使用对此问题的有限判断来研究不同经济时间序列的周期性动态。执行时间同质性和时间相关性测试以确定序列的平稳性和相关性。分别估算工业生产和就业增长的单变量过程,并构建综合了有关这些系列信息的综合指标。还对各国估计的马尔可夫链进行了相等性检验,以查明相关系列的周期性动态中的异同。

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