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我国价格指数变化的动态特征研究——基于“不可观测成份—随机波动率”模型的实证分析

An Empirical Analysis on the Dynamics of Price Changes in China——Evidence from an “Unobservable Component Stochastic Volatility” Model
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摘要 研究价格指数动态变化中的时变波动率性质对于价格稳定具有重要的理论和现实意义。本文利用中国月度价格指数数据资料,构建"不可观测成份—随机波动率"模型后发现:和暂时性价格变动冲击相比,趋势性价格变化冲击的波动率幅度更大、时变特征更明显,且在2008年之后呈现出清晰可见的下降趋势。本文建议:货币当局有必要准确识别"暂时性—趋势性"价格变化冲击,并适时采取有效应对措施,以保障物价水平的长期稳定。 This paper highlights the important theoretical and policy implications for price stability when investigating the dynamics and the time-varying stochastic volatility of changes in aggregate price levels.Using monthly price indices data in China,we build an"unobservable component stochastic volatility"model and find that compared with the transitory shocks,not only large shocks to the trend component of price changes are highly variable but also their stochastic volatilities decline apparently over time after 2008.We suggest that in order to achieve the goal of long-run price stability,the policy authority should conduct the optimal monetary policy by an appropriate identification of the source of transitory and trend shocks to changes in price levels in China.
出处 《价格理论与实践》 北大核心 2021年第1期111-115,共5页 Price:Theory & Practice
基金 2019年度国家社会科学基金一般项目(项目批准号:19BTJ046)
关键词 “不可观测成份—随机波动率”模型 “暂时性—趋势性”冲击 贝叶斯因子 "Unobservable Component Stochastic Volatility"Model "Transitory-Trend"Shocks Bayes Factor
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  • 1黎德福.二元经济条件下中国的菲利普斯曲线和奥肯法则[J].世界经济,2005,28(8):51-59. 被引量:55
  • 2刘金全,金春雨,郑挺国.我国通货膨胀率动态波动路径的结构性转变特征与统计检验[J].中国管理科学,2006,14(1):1-6. 被引量:25
  • 3曾利飞,徐剑刚,唐国兴.开放经济下中国新凯恩斯混合菲利普斯曲线[J].数量经济技术经济研究,2006,23(3):76-84. 被引量:56
  • 4史文青《1998》:《中国通货膨胀问题研究》,中国财政经济出版社.
  • 5Borio, Claudio, and Andrew Filardo, 2007, "Globalization and Inflation: New Cross-country Evidence on the Global Determinants of Domestic Inflation", BIS Working Papers No 227.
  • 6Calvo,Guillermo A. , 1983, " Staggered Prices in a Utility-maximizing Framework", Journal of Monetary Economics, 12, 383--398.
  • 7Cumby, Robert E., John Huizinga, and Mauriee Obstfeld, 1983, "Two-step Two-stage Least Squares Estimation in Models with Rational Expectations", Journal of Econometrics, 21, 333--355.
  • 8Cumby, Robert E. , and John Huizinga, 1992, "Testing the Autocorrelation Structure of Disturbances in Ordinary Least Squares and Instrumental Variables Regressions", Econometricam, 60, 185--195.
  • 9Davidson, Russell, and James Mackinnon, 1993, Estimation and Inference in Econometrics, Oxford: Oxford University Press.
  • 10Durbin, James, 1954, "Errors in Variables", Review of the International Statistical Institute, 22, 23--32.

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