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中国核心通货膨胀度量研究图书

Study on the Measurement of China's Core Inflation

SSAPID:101-6927-5979-61
ISBN:978-7-5097-4353-9
DOI:
ISSN:

[内容简介] 本书从多个评价标准角度对核心通货膨胀度量方法的选择进行定性和定量研究,比较各种度量方法的优劣之处。采用不同的模型对核心通货膨胀预测未来标题通货膨胀的能力进行研究,提出一个新的、更适合于检验我国核心CPI对CPI预测能力的模型。对关注核心通货膨胀的原因及政策风险进行理论分析,以及我国核心CPI与货币政策关系和如何看待核心CPI与CPI进行研究分析,针对它们的不同特点提出相应的建议。

相关信息

丛书名:华侨大学·数量经济学丛书
作 者: 汤丹
编 辑:高雁
出版社:社会科学文献出版社
出版时间: 2013年05月
语 种:中文
中图分类:F2 经济计划与管理

 Abstract

 序

 摘要

 第一章 绪论

  第一节 选题的背景

  第二节 研究的目的与意义

  第三节 研究的主要思路和内容

   一 研究思路

   二 研究的主要内容

 第二章 核心通货膨胀的含义及度量方法综述

  第一节 核心通货膨胀的含义

   一 核心通货膨胀的含义

   二 核心通货膨胀的度量方法

    (一)基于同期横截面数据的核心通货膨胀度量方法

     1.剔除法

     2.加权中位数法

     3.修剪均值法

    (二)基于时间序列数据的核心通货膨胀度量方法

     1.平滑法

     2.结构向量自回归模型法

     3.共同趋势模型

    (三)基于面板数据的核心通货膨胀度量方法

     1.方差权重法

     2.惯性权重法

     3.动态因子指数模型

     4.协整-误差修正模型

  第二节 国内外研究状况

  第三节 小结

 第三章 中国核心通货膨胀的度量

  第一节 基于同期横截面数据度量中国的核心通货膨胀

   一 运用剔除法度量中国的核心通货膨胀

   二 运用修剪均值法和加权中位数法度量中国的核心通货膨胀

  第二节 基于时间序列数据度量中国的核心通货膨胀

   一 运用指数平滑法度量中国的核心通货膨胀

   二 运用SVAR模型度量中国的核心通货膨胀

   三 运用共同趋势模型度量中国的核心通货膨胀

  第三节 基于面板数据度量中国的核心通货膨胀

   一 运用方差权重法度量中国的核心通货膨胀

   二 运用惯性权重法度量中国的核心通货膨胀

  第四节 基于贝叶斯状态空间模型估计中国的核心通货膨胀

   一 贝叶斯方法和MCMC方法

   二 状态空间模型的估计-卡尔曼滤波估计与贝叶斯分析

   三 我国核心CPI的估计-基于BGS状态空间模型

   四 模型参数估计及数据分析

   五 我国核心通货膨胀的估计及验证

  第五节 我国核心通货膨胀的估计——基于动态因子指数模型

   一 动态因子指数模型的估计原理

   二 基于DFI模型的我国核心通货膨胀的参数估计与数据分析

   三 基于DFI的核心CPI估计与验证

  第六节 小结

 第四章 核心通货膨胀度量方法的评价研究

  第一节 核心通货膨胀度量方法的期望性质

  第二节 基于统计分析的度量方法比较

  第三节 追踪通货膨胀趋势能力比较

  第四节 产出缺口与核心CPI的关系分析

  第五节 小结

 第五章 核心通货膨胀的预测能力研究

  第一节 基于核心通货膨胀预测通货膨胀的方法

  第二节 核心通货膨胀预测能力比较分析

  第三节 小结

 第六章 核心通货膨胀与货币政策

  第一节 核心通货膨胀的分析工具含义

  第二节 关注核心通货膨胀的原因

  第三节 关注核心通货膨胀的政策风险

  第四节 我国的核心CPI与货币政策

  第五节 小结

 第七章 结论与展望

  第一节 重要研究结论与研究创新

   一 重要研究结论

   二 研究创新

  第二节 研究不足与展望

 总序

目前,世界上越来越多的国家和地区开始关注并构建核心通货膨胀指标,并将其作为制定货币政策的重要参考指标。我国国家统计局和中国人民银行也开始在制定货币政策的过程中关注核心通货膨胀,但目前尚无官方度量并定期公布该指标。本书将在该背景下对我国核心通货膨胀的度量问题进行系统的研究。对这一问题的研究不仅有助于准确地认识我国通货膨胀的长期潜在趋势,而且对科学地制定和有效地实施货币政策具有理论和现实意义。本书首先通过对国内外研究文献的搜集和整理,总结目前国内外关于核心通货膨胀问题研究的现状,分析核心通货膨胀的含义及其度量方法,找出其中研究的不足,提出本书的研究视角和思路。其次,基于我国的CPI数据,采用目前普遍使用的核心通货膨胀度量方法对我国的核心通货膨胀(即核心CPI)进行度量。采用两种较新的方法即基于贝叶斯Gibbs Sampler的状态空间模型和基于动态因子指数模型度量了我国的核心CPI,并在建立合理且具有经济含义的模型基础上,验证了两种度量方法的合理性。接下来从多角度对本书所度量的各种核心CPI进行比较,从定性和定量分析的角度检验各种核心CPI的优劣性以及它们在实际应用中的差别。度量核心通货膨胀的重要原因在于它有助于预测未来的通货膨胀,因此本书采用目前使用最广泛的预测模型检验各种核心CPI预测的能力,并指出该模型在预测能力方面的不足,进而建立一个合理的模型,进一步检验各种核心CPI的预测能力。最后,本书对货币政策关注核心通货膨胀的原因及风险进行理论分析,并根据长短期对价格调整时所应关注的经济指标予以建议。本书共得出以下几点结论:(1)根据目前学术界提出的核心通货膨胀的各种特征,将核心通货膨胀定义为:剔除CPI篮子中各类商品价格指数的短期或暂时成分后,CPI篮子中各类商品价格指数的长期共同成分。它反映了通货膨胀长期的潜在趋势,是货币政策决策者制定和调整货币政策关注的重心。(2)通过采用多种方法度量我国的核心CPI,结果发现度量的各种核心CPI存在差异。因此,通货膨胀的形成原因具有多样性和复杂性,核心通货膨胀与非核心通货膨胀之间的界限并不十分清晰,在实际度量过程中经常会出现模糊性的因素,使得精确度量核心通货膨胀较为困难。(3)通过采用基于贝叶斯Gibbs Sampler的状态空间模型和动态因子指数模型两种方法度量我国的核心CPI。结果显示,两个核心CPI都很好地反映了我国2001年1月至2011年4月的CPI的长期趋势变化,它们的标准差小于CPI的标准差,经检验,度量的核心CPI与货币供给增长率的相关系数较大,说明核心CPI的走势与货币政策的关系更加密切。本书进一步建立模型验证了估计的核心CPI的合理性——核心CPI不受暂时冲击的影响。通过对DFI模型系数的估计,得到各类商品价格指数对核心CPI的贡献程度。对核心CPI贡献较小的是居民食品消费价格指数、娱乐教育文化价格指数与居民居住价格指数,对核心CPI贡献较大的是居民衣着价格指数、交通与通信价格指数。(4)通过定性和定量分析多角度比较各种核心CPI的优劣,结果显示,任何一种核心通货膨胀的度量方法都不能够满足所有期望性质,各种核心CPI都存在优点和不足,究竟选择何种方法度量核心CPI以及选择哪种核心CPI作为决策参考依据,取决于使用者的目的和需要。如果决策者赋予各种特征同等的权重,那么度量核心CPI的最优方法是非对称修剪均值法、BGS状态空间模型法及DFI模型法。但如果从易于公众理解的角度来讲,剔除法和非对称修剪均值法更加适合。(5)从理论上阐述了关注核心通货膨胀的原因,结合我国的实际国情,分析了我国核心CPI与货币政策之间的关系。本书认为,我国在对短期的价格水平变动进行货币政策调整时,应该在主要关注标题通货膨胀即CPI的同时关注核心CPI。货币政策对核心通货膨胀同样存在较大的滞后效应,在制定中长期货币政策时应重点关注具有前瞻性的核心CPI。本书的研究结果对于准确地认识我国通货膨胀的长期性,了解潜在的趋势,了解核心通货膨胀的度量方法,以及判断经济形势与制定宏观经济政策均具有重要的理论和现实意义。

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