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A quantile framework for analysing the links between inflation uncertainty and inflation dynamics across countries

机译:用于分析各国通胀不确定性与通胀动态之间联系的分位数框架

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In contrast to the conventional conditional mean approaches, this study uses quantile regression techniques to present some new statistical evidence on the links between inflation uncertainty and the level of inflation with cross-sectional data from 90 countries during the period 1961 to 2006. The results suggest that positive inflation shocks have stronger impact on inflation uncertainty which varies across the quantiles. Furthermore, popular time-series models are evaluated for their ability to reproduce measures of uncertainty and indicate similar results regarding the relationships between inflation and inflation uncertainty.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/00036840903299763
机译:与传统的条件均值方法不同,本研究使用分位数回归技术,通过1961年至2006年期间来自90个国家的横截面数据,提供了有关通胀不确定性和通胀水平之间联系的一些新的统计证据。积极的通货膨胀冲击对通货膨胀不确定性的影响更大,通货膨胀不确定性因分位数而异。此外,对流行的时间序列模型进行了评估,这些模型可以再现不确定性的度量,并可以针对通货膨胀和通货膨胀不确定性之间的关系给出相似的结果。评估全文下载全文“ citeulike,netvibes,twitter,technorati,美味,linkedin,facebook,stumbleupon,digg,google,更多”,发布:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/00036840903299763

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