Construction of composite business cycle indicators in a scarce data environment: A case study for Abu Dhabi

Klaus Abberger, Wolfgang Nierhaus
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引用次数: 1

Abstract

Business cycle indicators are important instruments for monitoring economic development. When employing indicators one usually relies on a sound statistical database. This paper deals with indicator development in a sparse data situation. Indicator building is merged with temporal disaggregation, which is often used by statistical offices. The discussed tools are applied in a case study for Abu Dhabi. Because the economy of Abu Dhabi is very dependent on oil, real income reflects the economic situation better than real gross domestic product (GDP). For this reason a measure of real gross domestic income (GDI) was chosen as reference series.
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稀缺数据环境下复合经济周期指标的构建:以阿布扎比为例
经济周期指标是监测经济发展的重要工具。在使用指标时,通常依赖于一个健全的统计数据库。本文研究了稀疏数据情况下的指标发展问题。指标建立与时间分解相结合,这是统计部门经常使用的方法。所讨论的工具在阿布扎比的案例研究中得到了应用。由于阿布扎比的经济非常依赖石油,实际收入比实际国内生产总值(GDP)更能反映经济状况。为此,我们选择了实际国内总收入(GDI)作为参考序列。
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Reverse-engineering the business cycle with Petri nets A comparison of economic indicator analysis and Markov switching methods concerning the cycle phase dynamics: report Frequency based co-movement of inflation in selected euro area countries The Swedish business cycle, 1969-2013 Construction of composite business cycle indicators in a scarce data environment: A case study for Abu Dhabi
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