期刊文献+

CPI与PPI的“虚假传导”及其修正——一个相对稳健的实证框架 被引量:48

CPI and PPI's "Spurious Transmission" and the Revision
原文传递
导出
摘要 通过对国外相关文献的梳理,我们发现国内已有对CPI和PPI之间传导机制的经验文献,普遍存在着实证方法误选或因遗漏变量导致"虚假传导"的问题。本文借鉴Guglielmo等(2002)的分析思路,引入货币政策分析框架来研究价格传导机制,以滞后期增广的VAR为基础,采用杠杆拔靴(Bootstrap)的Granger因果检验,得到一个相对稳健而全面的结论:CPI是PPI的Granger原因,反之则不成立。进一步推断得出,当前通货膨胀应为需求主导型,而"系统性"宽松的货币条件是促成需求旺盛的重要原因。所以,治理通胀应从流动性入手,并引导货币供给流入到生产领域。 Based on related foreign researches, we find that domestic empirical literatures on the CPI and PPI transmission mechanism generally exists two prob- lems: empirical methods mischosen and "spurious transmission" out of omitted variable. This article, following Guglielmo et al. (2002) analysis of ideas, intro- duces the analysis framework of monetary policy to study the price transmission mechanism, and sets the lag augmented VAR as a foundation based on leveraged bootstrap by using the Granger causality test, and draw a relatively robust and comprehensive conclusion. CPI is the Granger Causality of PPI, on the contrary, however, it is not established. To further infer, the current inflation should be demand- led, and "systematic" loose monetary conditions are important reasons to promote flourishing demand. Therefore, inflation control should start with excess liquidity, and then guide the money supply into the production area.
作者 刘凤良 鲁旭
出处 《数量经济技术经济研究》 CSSCI 北大核心 2011年第8期91-102,114,共13页 Journal of Quantitative & Technological Economics
基金 中国人民大学"985"项目和"宏观经济论坛"的资助
关键词 物价指数 虚假传导 遗漏变量 杠杆拔靴检验 Price Index Spurious Transmission Omitted Variable Leveraged Bootstrapped Tests
  • 相关文献

参考文献25

  • 1Caporale, Guglielmo Maria, and Nikitas P, 1997, Causality and Forecasting in Incomplete Sys terns [J], Journal of Forecasting, 16, 425-437.
  • 2Clarida, Richard , Gali, Jordi and Gertler, Mark., 1999, The Science of Monetary Policy: A New Keynesian Perspective [J], Journal of Economic I.iterature, 37, 1661-1707.
  • 3Clark, T., 1995, Do ProducerPrices lead Consumer Prices? [J], Economic Review, 25-39.
  • 4Davidson, Mackinnon, 2004, The Power of Bootstrap and Asymptotic Tests [J], Working Pa pers, 1035.
  • 5Enders, W., 1995, Applied Econometric Time Series [M], New York: Wiley.
  • 6Guglielmo Maria Caporale, Margarita Katsimi, and Nikitas Pittis, 2002, Causality Links between Consumer and Producer Prices: Some Empirical Evidence [J], Southern Economic Journal, 68, 703-711.
  • 7Hacker R. S. and Hatemi J, A. , 2006, Tests for Causality between Integrated Variables Based on Asymptotic and Bootstrap Distributions: Theory and Application[J], Applied Economics, 38, 1489-1500.
  • 8Hacker R. S. and Hatemi J, A. , 2005, A Test for Multivariate ARCH Effects[J], Applied Economics Letters, 12, 411-417.
  • 9Lultkepohl, H. , 1982, Non-causality Due to Omitted Variables[J], Journal of Econometrics, 19, 367--378.
  • 10utkepohl, H. and Reimers, H. , 1992, Granger-causality in Cointegrated VAR Processes [J], Economics I.etters, 40, 263-268.

二级参考文献36

共引文献207

同被引文献305

引证文献48

二级引证文献201

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部