Comparing Results from Unobserved Components Model and Hodrick-Prescott Filter of Output-Gap in Barbados

T. Agbeyegbe
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Abstract

ABSTRACT:An important macro-economic issue of developed and developing countries is how best to decompose an economic time series into permanent (trend) and transitory (cycle) components. The issue is vital in empirical macroeconomics since, among other things, it relates to how one can estimate the output gap-the deviation of an economy's output from its potential or trend output. This paper considers how well the unobserved components model and the Hodrick Prescott (HP) filter decomposes real gross domestic product (GDP) in a small island developing state, the state of Barbados. The correlated unobserved components model for Barbados studied in the Agbeyegbe (2020) is modified to allow a second-order Markov trend. The effect of this modification is to make it possible to recover the HP trend as a particular case. The paper then compares several methods useful for trend decomposition of real GDP in Barbados. The competing methods are variants of two widely used trend-cycle decompositions of GDP that give markedly different estimates. Namely, methods based on the unobserved components model (UC) and the HP filter. The correlated unobserved components model produces smaller output gaps in amplitude, whereas the HP filter generates significant and persistent cycles. More specifically, the methods are: (i) the HP filter; (ii) an augmented HP filter (HP-AR), that allows for cyclical components to be serially correlated, introduced by Grant and Chan (2017b); (iii) the correlated unobserved components model (UCUR), without a break; (iv) the correlated unobserved components model (UCUR-t), with a break at time t; and (v) a correlated unobserved components model that allows for a second-order Markov trend process UCUR-2M. The result shows that for Barbados, with data covering the period 1967-2017, the correlated unobserved components model that allows for a break in trend fits the data better than the HP specification. These results are significant from a policy perspective. Knowing the correct duration of the business cycle is essential to providing appropriate recommendations; the result argues against the use of HP-filter in analyzing Barbados' business cycle. The result also finds that for Barbados, it is empirically important to correlate permanent and transitory shocks. By ignoring this correlation, researchers risk providing a misleading analysis of how the Barbadian economy works.
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巴巴多斯产出缺口的未观测分量模型与Hodrick-Prescott滤波结果比较
摘要:如何最好地将经济时间序列分解为永久(趋势)和短暂(周期)两部分,是发达国家和发展中国家面临的一个重要宏观经济问题。这个问题在实证宏观经济学中是至关重要的,因为它涉及到如何估计产出缺口——一个经济体的产出与其潜在产出或趋势产出的偏差。本文考虑了未观察成分模型和Hodrick Prescott (HP)过滤器对小岛屿发展中国家巴巴多斯的实际国内生产总值(GDP)的分解效果。Agbeyegbe(2020)研究的巴巴多斯相关未观测分量模型进行了修改,以允许二阶马尔可夫趋势。这种修改的效果是使恢复HP趋势作为一个特殊情况成为可能。然后,本文比较了几种对巴巴多斯实际GDP趋势分解有用的方法。这两种相互竞争的方法是两种广泛使用的GDP趋势周期分解方法的变体,它们给出了明显不同的估计。即基于未观察组件模型(UC)和HP滤波器的方法。相关的未观测分量模型在振幅上产生较小的输出间隙,而高压滤波器产生显著和持久的周期。更具体地说,方法是:(i) HP过滤器;(ii)增强型HP滤波器(HP- ar),允许周期性成分串行相关,由Grant和Chan (2017b)引入;(iii)相关未观测分量模型(UCUR),不间断;(iv)相关不可观测分量模型(UCUR-t),在时间t处中断;(v)允许二阶马尔可夫趋势过程UCUR-2M的相关未观测分量模型。结果表明,对于巴巴多斯,其数据涵盖1967-2017年期间,允许趋势中断的相关未观测组件模型比HP规范更适合数据。从政策角度来看,这些结果意义重大。了解商业周期的正确持续时间对于提供适当的建议至关重要;该结果反对在分析巴巴多斯的商业周期时使用hp过滤器。结果还发现,对于巴巴多斯来说,将永久冲击和短暂冲击联系起来在经验上是重要的。如果忽视这种相关性,研究人员可能会对巴巴多斯经济的运行方式做出误导性的分析。
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