Decomposing time-frequency relationship between producer price and consumer price indices in Romania through wavelet analysis

This study analyses Granger-causality between the return series of CPI and PPI (i.e., inflation measured by CPI and PPI) for Romania, by using monthly data covering the period of 1991m1 to 2011m11. To analyse the issue in depth, this study decomposes the time-frequency relationship between CPI- and PPI-based inflation through a continuous wavelet approach. Our results provide strong evidence that there are cyclical effects from variables (as variables are observed in phase), while anti-cyclical effects are not observed.     

Causality between consumer price and producer price: Evidence from Mexico

We examine the relationship between two inflation indices, consumer price index (CPI) and producer price index (PPI) for Mexico, a case study country which has successfully implemented inflation targeting after the economic crisis and high inflationary situation in 1995. Since the causality running from PPI to CPI exemplifies the cost push nature of inflation and the opposite is the indicator of demand pull inflation, this analysis could provide significant policy implications. We contribute to the literature by decomposing the time–frequency relationship between CPI and PPI through continuous wavelet approach. Our results indicate a bidirectional relationship between CPI and PPI. In short periods (1 to 7 months scale) CPI is leading PPI, while for longer periods (8 to 32 months scale) PPI is the leading variable.     

Inflation targeting and core inflation

Abstract.  This paper examines the interaction of core inflation and inflation targeting as a monetary policy regime. Interest in core inflation has grown because of inflation targeting. Core inflation is defined in numerous ways giving rise to many potential measures; this paper defines core inflation as the best forecaster of inflation. A cross‐country study finds before the start of inflation targeting, but not after, core inflation differs between non‐inflation targeters and inflation targeters. Through conditional regressions, inflation expectations as measured by core inflation have not changed with the advent of inflation targeting nor do they differ from non‐targeters. JEL classification: E52 and E31     

Forecasting UK consumer price inflation using inflation forecasts

The inflation rate is a key economic indicator for which forecasters are constantly seeking to improve the accuracy of predictions, so as to enable better macroeconomic decision making. Presented in this paper is a novel approach which seeks to exploit auxiliary information contained within inflation forecasts for developing a new and improved forecast for inflation by modeling with Multivariate Singular Spectrum Analysis (MSSA). Unlike other forecast combination techniques, the key feature of the proposed approach is its use of forecasts, i.e. data into the future, within the modeling process and extracting auxiliary information for generating a new and improved forecast. We consider real data on consumer price inflation in UK, obtained via the Office for National Statistics. A variety of parametric and nonparametric models are then used to generate univariate forecasts of inflation. Thereafter, the best univariate forecast is considered as auxiliary information within the MSSA model alongside historical data for UK consumer price inflation, and a new multivariate forecast is generated. We find compelling evidence which shows the benefits of the proposed approach at generating more accurate medium to long term inflation forecasts for UK in relation to the competing models. Finally, through the discussion, we also consider Google Trends forecasts for inflation within the proposed framework.     

Estimation and evaluation of core inflation measures

This article estimates and evaluates different measures of core inflation for India by employing statistical and econometric approaches. We estimate Wholesale Price Index (WPI) ex-food, WPI ex-food and energy, 20% asymmetric trimmed mean, 63rd percentile and Structural Vector Autoregression (SVAR) measures of core inflation. The trimmed mean, 63rd percentile and SVAR measures are unbiased, less volatile and highly correlated to headline inflation. The predictive accuracy of the different core inflation measures used in this article is assessed. The overall result suggests that a 20% asymmetric trimmed mean and SVAR measures of core inflation can be useful for the policy purposes.     

The impact of oil price changes on Spanish and euro area consumer price inflation

This paper assesses the impact of oil price changes on Spanish and euro area consumer price inflation. We find that the inflationary effect of oil price changes in both economies is limited, even though crude oil price fluctuations are a major driver of inflation variability. The impact on Spanish inflation is found to be somewhat higher than in the euro area. In both economies, direct effects have increased in the last decade, reflecting the higher expenditure share of households on refined oil products, whereas indirect and second-round effects seem to be losing importance.     

Relative price and inflation variability in a simple consumer search model

There is a large empirical literature on the effect of aggregate inflation on both price-level dispersion (relative price variability, RPV) and inflation rate dispersion (relative inflation variability, RIV) across goods or locations. Early empirical work of RIV has an explicit theoretical foundation in signal-extraction models. However, recent empirical work on RPV has produced results inconsistent with signal-extraction models. In particular, while RIV is increasing in the absolute value of inflation shocks, RPV is a negative monotonic function of inflation shocks. We show that consumer search theory offers a potential explanation for these apparently contradictory observations.     

Inflation regimes and the stability of the pass-through of wages to consumer prices in Canada

This article has formally identified distinct historical inflation regimes in Canada since 1961 in order to facilitate an investigation of the impact of regime changes on the wage-price dynamics in the economy. Both in and out-of-sample evidence suggest that wage growth exerts an influence on inflation only during a high-inflation regime but inflation exerts a more systematic and quantitatively stronger influence on wage growth regardless of the prevailing inflation regime. Overall, the results do not support either the ‘cost-push’ view of inflation or the ‘new view’ that claims that increased globalization during the 1990s has reduced the feedback from wage growth to inflation by weakening the bargaining power of workers.     

Nominal rigidities, skewness and inflation regimes

The menu-costs model developed by Ball and Mankiw (BM) [Ball, L., Mankiw, N.G., 1994. Asymmetric price adjustment and economic fluctuations. Economic Journal 104 (423), 247–261; Ball, L., Mankiw, N.G., 1995. Relative-Price Changes as Aggregate supply shocks. Quarterly Journal of Economics 110 (1), 161–193] predicts that inflation is positively related to the skewness of price changes distribution. We test this prediction in different inflationary contexts: Spain (1975–2002) and Argentina (1960–1989). We find a positive inflation–skewness relationship in both countries at low inflation, even though the mean annual inflation rates were very different: 2.2% for Spain and 23% for Argentina. Therefore, the threshold of low inflation under which the menu-costs model is suitable is determined endogenously, and it depends on the inflationary experience of each economy. In the higher inflation periods skewness is not significant. Finally, our results suggest that the menu-costs model is not suitable beyond certain threshold of inflation.     

我国通货膨胀率均值过程和波动过程中的双长记忆性度量与统计检验

This paper uses the ARFIMA-FIGARCH model to investigate the China’s monthly inflation rate from January 1983 to October 2005. It is found that both first moment and second moment of inflation have remarkable long memory, indicating the existence of long memory properties in both inflation level and inflation uncertainty. By the Granger-causality test on inflation rate and inflation uncertainty, it is shown that the inflation level affects the inflation uncertainty and so supports Friedman hypothesis. Therefore, as for policy maker, they should roundly concerns on long memory properties of inflation and inflation uncertainty, and their single-direction relationship between them. __________ Translated from Guanli shijie 管理世界 (Management World), 2007, (7): 14–21     

On the Granger causality between median inflation and price dispersion

The Granger-causal relationship between the size and dispersion of fluctuations in sub-components of the US Consumer Price Index (CPI) is examined using both in-sample and out-of-sample tests and data from January 1968 to December 2008. Strong in-sample evidence is found for feedback between median inflation and price dispersion; the evidence for Granger-causation from median inflation to price dispersion remains strong in out-of-sample testing, but is less strong for Granger-causation in the opposite direction. The implications of these results for the variety of price-level determination models in the literature are discussed.     

Inflation, price dispersion, and market structure

In this paper, we use a novel data set containing prices from bazaars, convenience stores, and supermarkets in Istanbul to re-examine the relationship between price dispersion and inflation. Although existing evidence is mixed, we find positive and significant relationships between dispersion, on the one hand, and lagged dispersion and unexpected product-specific inflation on the other. We also find evidence that dispersion is initially decreasing in anticipated aggregate inflation but is eventually increasing. Finally, average price duration and dispersion are lowest in the bazaar. This is intuitive, since menu and search costs should be minimal in that market structure.     

Inflation and inflation volatility in Thailand

Quarterly data for Thailand are used in this article for the period 1965q3–2013q4 to investigate both the relationship between inflation and inflation volatility, and the impact of inflation volatility on economic growth. Inflation volatility is estimated by deploying the generalized autoregressive conditional heteroscedastic (GARCH) technique. A Granger causality test is then conducted to examine the causality between inflation and inflation volatility. The empirical results obtained are consistent with a number of theoretical propositions. First, the results are consistent with the Friedman–Ball proposition, which states that a rise in inflation raises inflation volatility. Second, there is evidence supporting the Holland proposition that inflation volatility lowers the rate of inflation. This is consistent with the view that central banks attempt to stabilize inflation with the rise in inflation volatility. Third, empirical results obtained by asymmetric GARCH models suggest that inflation shocks have an asymmetric impact on inflation volatility (i.e. a positive inflation shock has a larger impact on inflation volatility – as measured by the logarithm of the conditional variance of inflation – than a negative inflation shock). Fourth, inflation volatility has an adverse impact on economic growth. Finally, given the fixed/pegged or managed float exchange rate system, US inflation has been found to have a positive impact on inflation and its volatility in Thailand. This article discusses the implications of empirical findings on the design and enactment of monetary policy for price stability in Thailand.     

The relationship between government deficits, money growthm and inflation

We model the time-series relationship between Federal government deficits, base-money growth, and inflation as a trivariate autoregressive process. The technique is a generalization of Hsiao's (1979; 1981) bivariate autoregressive modeling method, but also incorporates several recent contributions by Caines, Keng, and Sethi (1981) and Lutkepohl (1982). The results indicate that for the 1960s, both government deficits and inflation are econometrically exogenous. But, for the 1950s and the 1970s, government deficits, money growth, and inflation are all causally related.     

Inflation and inflation uncertainty in China

The study examines the relationship between inflation and inflation uncertainty in China using Generalized Autoregressive Conditional Heteroscedasticity model. Particularly, this link is investigated in China’s urban and rural sectors, motivated by the substantial urban–rural divide. The results provide strong statistical supportive evidence that higher inflation raises inflation uncertainty. On the other hand, evidence on the effect of inflation uncertainty on inflation is mixed depending on the sample periods and areas examined. The understanding of inflation-uncertainty nexus in China could provide implications to policymakers in the adoption of monetary policies.     

Inflation and inflation uncertainty in the euro area

This article estimates a time-varying AR-GARCH model of inflation producing measures of inflation uncertainty for the euro area, and investigates their linkages in a VAR framework, also allowing for the possible impact of the policy regime change associated with the start of EMU in 1999. The main findings are as follows. Steady-state inflation and inflation uncertainty have declined steadily since the inception of EMU, whilst short-run uncertainty has stabilised. A sequential dummy procedure provides further evidence of a structural break coinciding with the introduction of the euro and resulting in lower long-run uncertainty. It also appears that the direction of causality has been reversed, and that in the euro period the Friedman-Ball link is empirically supported, consistently with the idea that the ECB can achieve lower inflation uncertainty by lowering the inflation rate.     

On the nonlinear relationship between inflation and economic growth

Using a large panel data set from both developed and developing economies and employing the PSTR and dynamic GMM techniques, this study highlights two aspects of the inflation–growth relationship. First, it analyzes the nonlinearity of the relationship and identifies several thresholds for the global sample and for various income-specific sub-samples. Second, it identifies some country-based macroeconomic features that influence this nonlinearity. Our empirical results substantiate both views and validate the fact that inflation–growth nonlinearity is sensitive to a country׳s level of financial development, capital accumulation, trade openness and government expenditures. Moreover, these country-specific characteristics result in some marked differences in this nonlinear relationship.     

Ideal Divisia moments,price dispersion and inflation

Ideal Divisia price and quantity index numbers are computed for 18 countries using per capita consumption data for the 1970's. Correlation matrices of general price change and price dispersion are computed and determinants of price dispersion are analyzed.     

Inflation,oil price volatility and monetary policy

In a fully micro-founded New Keynesian framework, we characterize an analytical relationship between average inflation and oil price volatility by solving the rational expectations equilibrium of the model up to second order of accuracy. The model shows that higher oil price volatility induces higher levels of average inflation. We also show that when oil has low substitutability in the production function, the higher the weight the central bank assigns to inflation in the policy rule, the lower the level of average inflation is. The analytical solution further indicates that, for a given level of oil price volatility, average inflation is higher when marginal costs are convex in oil prices, the Phillips Curve is convex, and the degree of relative price dispersion is higher. The evolution of inflation during the 70s and 80s is consistent with the prediction of the model.