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Does a Threshold Inflation Rate Exist? Quantile Inferences for Inflation and Its Variability Author info | Abstract | Publisher info | Download info | Related research | Statistics WenShwo Fang (Feng Chia University)
Stephen M. Miller (University of Nevada, Las Vegas, and University of Connecticut)
Chih-Chuan Yeh (The Overseas Chines Institute of Technology, Taichung)
Additional information is available for the following
registered author(s):
Using quantile regressions and cross-sectional data from 152 countries, we examine the relationship between inflation and its variability. We consider two measures of inflation -- the mean and median -- and three different measures of inflation variability -- the standard deviation, relative variation, and median deviation. All results from the mean and standard deviation, the mean and relative variation, or the median and the median deviation support both the hypothesis that higher inflation creates more inflation variability and that inflation variability raises inflation across quantiles. Moreover, higher quantiles in both cases lead to larger marginal effects of inflation (inflation variability) on inflation variability (inflation). We particularly consider whether thresholds for inflation rate or inflation variability exist before finding such positive correlations. We find evidence of thresholds for inflation rates below 3 percent, but mixed results for thresholds for inflation variability. Finally, a series of robustness checks, including a set of additional explanatory variables as well as controlling for potential endogeneity with instrumental variables, leaves our findings generally unchanged.
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Paper provided by University of Connecticut, Department of Economics in its series Working papers with number
2007-45.
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Length: 52 pages
Date of creation: Dec 2007Date of revision:
Jun 2009Handle: RePEc:uct:uconnp:2007-45Note: This paper previously circulated with the title "Quantile Inferences for Inflation and Its Variability: Does a Threshold Inflation Rate Exist?"Contact details of provider: Postal: University of Connecticut 341 Mansfield Road, Unit 1063 Storrs, CT 06269-1063 Phone: (860) 486-4889 Fax: (860) 486-4463 Web page: http://www.econ.uconn.edu/ More information through EDIRC
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Keywords: inflation ; inflation variability ; inflation targeting ; threshold effects ; quantile regression ; Other versions of this item:
Find related papers by JEL classification: C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
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