Euro Area Inflation Research Articles

Convergence of Euro Area Inflation Rates

We study the behavior of inflation rates among the 12 initial Euro countries in order to test whether and when the group convergence initially dictated by the Maastricht treaty and now by the ECB, occurs. We also assess the impact of events such as the advent of the Euro and the 2008 financial crisis. Due to the small size of the estimation sample, we propose a new procedure that increases the power of panel unit root tests when used to study group-wise convergence. Applying this new procedure to Euro area inflation, we find strong and lasting evidence of convergence among the inflation rates soon after the implementation of the Maastricht treaty and a dramatic decrease in the persistence of the differential after the occurrence of the single currency. After the 2008 crisis, Euro area inflation rates follow the ECB’s price stability benchmark, although Greece reports relatively higher inflation.

The convergence of inflation rates in the EU-12 area: A distribution dynamics approach

This paper provides an assessment of Euro area inflation dynamics based on the distribution dynamics approach. It is found that raw series and trends have converged, although the convergence process has not been constant over time. Inflation cycles still lack of synchronization over short time horizons. In search for an economic explanation for cyclical inflation dynamics, the paper suggests that country-specific labor market institutions are likely to affect inflation outcomes above all in high inflation countries. Moreover, the cyclical inflation divergence arises from output fluctuations.

A Factor Model for Euro-area Short-term Inflation Analysis

Summary This paper develops a factor model for forecasting inflation in the euro area. The model can handle variables with different timeliness, sample size and frequency. We show that the forecasts based on the factor model outperform naïve random walk forecasts, a hard to beat benchmark for euro area inflation forecasts in recent years, at horizons of and beyond nine months ahead. They are also comparable, in terms of accuracy, to the judgemental forecasts prepared in the context of the Eurosystem macroeconomic projection exercises. The factor model is therefore a very suitable tool to extract the signal on current and future euro area inflation from new data releases.

Euro Area Inflation Differentials: Unit Roots and Nonlinear Adjustment

This article examines the time-series properties of inflation differentials in 12 economic and monetary union (EMU) countries. The evidence from standard linear unit root tests indicates that inflation differentials are highly persistent in the majority of countries. However, when one allows for the possibility that inflation differentials can be characterized by a nonlinear mean reverting process, one finds evidence of stationarity in all cases. The empirical results suggest that once nonlinearity is accounted for, inflation differentials do not consistently intensify real divergence in the euro area.

Convergence of Euro Area Inflation Rates

We study the behavior of inflation rates among the 12 initial Euro countries in order to test whether and when the group convergence initially dictated by the Maastricht treaty and now by the ECB, occurs. We also assess the impact of events such as the advent of the Euro and the 2008 financial crisis. Due to the small size of the estimation sample, we propose a new procedure that increases the power of panel unit root tests when used to study group-wise convergence. Applying this new procedure to Euro area inflation, we find strong and lasting evidence of convergence among the inflation rates soon after the implementation of the Maastricht treaty and a dramatic decrease in the persistence of the differential after the occurrence of the single currency. After the 2008 crisis, Euro area inflation rates follow the ECB’s price stability benchmark, although Greece reports relatively higher inflation.

Inflation Risk Premia in the Term Structure of Interest Rates: Evidence from Euro Area Inflation Swaps

We estimate inflation risk premia in the Euro area using inflation swaps. By proposing a no-arbitrage model for econometric analysis, and estimating it using Markov Chain Monte Carlo, we find estimates of inflation risk premia, that on average show an upward sloping term structure, with 1 year risk premia of 13 bps and 10 year risk premia of 52 bps, however with fluctuation in risk premia over time. Our estimates suggest that surveys are important in identifying inflation expectations and thus inflation risk premia. We relate estimates of inflation risk premia to agents beliefs, and find that skews in short term inflation perceptions drive short term inflation risk premia, where beliefs on GDP growth drive longer term risk premia.

Forecasting Inflation with Gradual Regime Shifts and Exogenous Information

We propose a new method for medium-term forecasting using exogenous information. We first show how a shifting-mean autoregressive model can be used to describe characteristic features in inflation series. This implies that we decompose the inflation process into a slowly moving nonstationary component and dynamic short-run fluctuations around it. An important feature of our model is that it provides a way of combining the information in the sample and exogenous information about the quantity to be forecast. This makes it possible to form a single model-based inflation forecast that also incorporates the exogenous information. We demonstrate, both theoretically and by simulations, how this is done by using the penalised likelihood for estimating the model parameters. In forecasting inflation, the central bank inflation target, if it exists, is a natural example of such exogenous information. We illustrate the application of our method by an out-of-sample forecasting experiment for euro area and UK inflation. We find that for euro area inflation taking the exogenous information into account improves the forecasting accuracy compared to that of a number of relevant benchmark models but this is not so for the UK. Explanations to these outcomes are discussed. JEL Classification: C22, C52, C53, E31, E47

Trend-Cycle Decomposition of Output and Euro Area Inflation Forecasts: A Real-Time Approach Based on Model Combination

The paper focuses on the estimation of the euro area output gap. We construct model-averaged measures of the output gap in order to cope with both model uncertainty and parameter instability that are inherent to trend-cycle decomposition models of GDP. We first estimate nine models of trend-cycle decomposition of euro area GDP, both univariate and multivariate, some of them allowing for changes in the slope of trend GDP and/or its error variance using Markov-switching specifications, or including a Phillips curve. We then pool the estimates using three weighting schemes. We compute both ex-post and real-time estimates to check the stability of the estimates to GDP revisions. We finally run a forecasting experiment to evaluate the predictive power of the output gap for inflation in the euro area. We find evidence of changes in trend growth around the recessions. We also find support for model averaging techniques in order to improve the reliability of the potential output estimates in real time. Our measures help forecasting inflation over most of our evaluation sample (2001-2010) but fail dramatically over the last recession. JEL Classification: C53, E32, E37

How do Inflation Expectations Form? New Insights from a High-Frequency Survey

We provide new insights on the formation of inflation expectations - in particular at a time of great financial and economic turmoil - by evaluating results from a survey conducted from July 2009 through July 2010. Participants in this survey answered a weekly questionnaire about their short-, medium- and long-term inflation expectations. Participants received common information sets with data relevant to euro area inflation. Our analysis of survey responses reveals several interesting results. First, our evidence is consistent with long-term expectations having remained well anchored to the ECB's definition of price stability, which acted as a focal point for long-term expectations. Second, the turmoil in euro area bond markets triggered by the Greek fiscal crisis influenced short- and mediumterm inflation expectations but had only a very small impact on long-term expectations. By contrast, long-term expectations did not react to developments of the euro area wide fiscal burden. Third, participants changed their expectations fairly frequently. The longer the horizon, the less frequent but larger these changes were. Fourth, expectations exhibit a large degree of time-variant non-normality. Fifth, inflation expectations appear fairly homogenous across groups of agents at the shorter horizon but less so at the medium- and long-term horizons.

Real Time Forecasts of Inflation: The Role of Financial Variables

We present a mixed-frequency model for daily forecasts of euro area inflation. The model combines a monthly index of core inflation with daily data from financial markets; estimates are carried out with the MIDAS regression approach. The forecasting ability of the model in real-time is compared with that of standard VARs and of daily quotes of economic derivatives on euro area inflation. We find that the inclusion of daily variables helps to reduce forecast errors with respect to models that consider only monthly variables. The mixed-frequency model also displays superior predictive performance with respect to forecasts solely based on economic derivatives.

A monetary real‐time conditional forecast of euro area inflation

AbstractBased on a vector error correction model we produce conditional euro area inflation forecasts. We use real‐time data on M3 and HICP, and include real GPD, the 3‐month EURIBOR and the 10‐year government bond yield as control variables. Real money growth and the term spread enter the system as stationary linear combinations. Missing and outlying values are substituted by model‐based estimates using all available data information. In general, the conditional inflation forecasts are consistent with the European Central Bank's assessment of liquidity conditions for future inflation prospects. The evaluation of inflation forecasts under different monetary scenarios reveals the importance of keeping track of money growth rate in particular at the end of 2005. Copyright © 2009 John Wiley & Sons, Ltd.

Euro area inflation persistence in an estimated nonlinear DSGE model

We estimate the approximate non-linear solution of a small DSGE model on euro area data, using the conditional particle filter to compute the model likelihood. Our results are consistent with previous findings, based on simulated data, suggesting that this approach delivers sharper inference compared to the estimation of the linearised model. We also show that the non-linear model can account for richer economic dynamics: the impulse responses to structural shocks vary depending on initial conditions selected within our estimation sample.

Euro area inflation: aggregation bias and convergence

Monetary policy of the European Monetary Union targets aggregate euro area inflation. Concerns are growing that a focus on aggregate inflation may cause national inflation rates to diverge. While different explanations for diverging aggregate euro area inflation have been brought forward, the very impact of aggregation on divergence has, however, not been studied. We find a striking difference in convergence depending on the level of aggregation. While aggregate national inflation rates are diverging, disaggregate inflation rates are converging. We find that aggregation appears to bias evidence towards non-convergence. Our results are consistent with prominent theoretical and empirical evidence on aggregation bias.

One Money and Sixteen Needs: Has the ECB’s Monetary Policy Become More Balanced Towards the Needs of the Member States?

In this paper we analyze whether the ECB’s monetary policy has become more balanced towards the needs of the individual member states with the passage of time. We assume that the ECB’s monetary policy stance is in line with a Taylor rule and based on the overall situation in the Euro area, more specifically on the Euro area inflation rate and the overall business cycle position in the area. The question therefore boils down to investigating whether inflation and business cycles have converged since the start of the monetary union. We show that the ECB, if in existence in the 1990s, would have had an impossible task. This is because inflation and business cycles still strongly differed in that time, although convergence substantially increased in the run up to the monetary union. In this respect, the decade under EMU drastically differs from the preceding one. This being said, the evidence for a further improvement in the course of the first decade of the new millennium is mixed. This is because although inflation has further converged, business cycles have shown a tendency for increased divergence. If, however, we are willing to put weights on inflation and output gap divergence (as implied by the Taylor rule), we conclude that also in the course of the period under EMU in general the ECB’s monetary policy has become more in line with the needs of the individual members. Looking at individual countries, we show that during the first decade of its existence the ECB’s interest rate was most fitted to the needs of France and Italy, and least to the needs of Ireland and Greece (both too low) and Germany (too high). To a lesser extent there were also mismatches for Spain and Portugal (both too low). In the more recent period since 2005, the mismatch between the desired domestic interest rate and the desired ECB rate has come down for most countries (most noticeable Germany). For Belgium (for which a higher interest rate was more appropriate), on the other hand, the mismatch increased. These overall positive findings, however, offer no guarantee that the task of the ECB will become easier in the future.

Money Demand and the Role of Monetary Indicators in Forecasting Euro Area Inflation

This paper examines the forecasting performance of a broad monetary aggregate (M3) in predicting euro area inflation. Excess liquidity is measured as the difference between the actual money stock and its fundamental value, the latter determined by a money demand function. The out-of sample forecasting performance is compared to widely used alternatives, such as the term structure of interest rates. The results indicate that the evolution of M3 is still in line with money demand even in the period of the financial and economic crisis. Monetary indicators are useful to predict inflation at the longer horizons, especially if the forecasting equations are based on measures of excess liquidity. Due to the stable link between money and inflation, central banks should implement exit strategies from the current policy path, as soon as the financial conditions are expected to return to normality.

Estimating open economy Phillips curves for the euro area with directly measured expectations

This paper examines euro-area inflation dynamics by estimating open economy New Keynesian Phillips curves based on the assumption that all imports are intermediate goods. Instead of imposing rational expectations a priori, Consensus Economics survey data and OECD inflation forecasts are used to proxy inflation expectations. The results suggest that, compared with a closed economy New Keynesian Phillips curve, euro-area inflation dynamics are captured better by the open economy specification. Moreover, in the open economy context, even if we allow for persistence in expectations, the hybrid specification of the New Keynesian Phillips curve is needed in order to properly capture the euro-area inflation process.

Oil and the Euro area economy

We examine the macroeconomic effects of different types of oil shocks and the oil transmission mechanism in the Euro area. A comparison is made with the US and across individual member countries. First, we find that the underlying source of the oil price shift is crucial to determine the repercussions on the economy and the appropriate monetary policy reaction. Second, the transmission mechanism is considerably different compared to the US. In particular, inflationary effects in the US are mainly driven by a strong direct pass-through of rising energy prices and indirect effects of higher production costs. In contrast, Euro area inflation reacts sluggishly and is much more driven by second-round effects of increasing wages. The monetary policy reaction of the ECB to oil shocks is also strikingly different compared to the FED. The inflation objective, relative to the output stabilization objective, appears more important for Euro area monetary authorities than for the FED. Third, there are substantial asymmetries across member countries. These differences are due to different labour market dynamics which are further aggravated by a common monetary policy stance which does not fit all. — Gert Peersman and Ine Van Robays

The information content of money in forecasting euro area inflation

This article contributes to the debate on the role of money in monetary policy by analysing the information content of money in forecasting euro-area inflation. We compare the predictive performance within and among various classes of structural and empirical models in a consistent framework using Bayesian and other estimation techniques. We find that money contains relevant information for inflation in some model classes. Money-based New Keynesian Dynamic Stochastic General Equilibrium (DSGE) models and Vector Autoregressions (VARs) incorporating money perform better than their cashless counterparts. But there are also indications that the contribution of money has its limits. The marginal contribution of money to forecasting accuracy is often small, money adds little to dynamic factor models, and it worsens forecasting accuracy of partial equilibrium models. Finally, nonmonetary models dominate monetary models in an all-out horserace.

Do monetary indicators lead euro area inflation?

This paper assesses based on euro area data whether the strong in-sample long-run link between money growth and inflation that has been highlighted by a number of recent empirical studies is exploitable to predict inflation out of sample. The results from standard bivariate forecasting models suggest that no monetary (nor any other) single indicator significantly outperforms a simple benchmark forecast. The further analysis shows that it would be premature however to discard based on such evidence the usefulness of monetary (and all other) indicators. First, it is shown that based on judgemental adjustments to monetary indicators correcting for the effects of identifiable, persistent velocity shifts, it appears possible to significantly improve predictive ability in real time. Second, I find that a factor forecasting model combining monetary and economic indicators, which can be regarded as a generalized quantity theory- or two-pillar Phillips Curve-forecasting model, delivers a fairly good and stable forecasting performance.

Does Global Liquidity Matter for Monetary Policy in the Euro Area?*

AbstractGlobal excess liquidity prevalent across the world's financial markets (or its sudden absence) is sometimes believed to limit sovereign monetary policy even in large economies such as the euro area. However, there is still discussion about what constitutes global excess liquidity and how exactly it shapes the policy environment. Our approach adjusts liquidity for a longer‐term interest rate and output effects and focuses on US and Japanese liquidity as relevant proxies for global developments from a euro area perspective. We find that, in particular, excess liquidity in the US tends to lead developments in euro area liquidity. US excess liquidity is also consistently positive as a determinant of euro area inflation and is shown to be Granger‐causal for euro area inflation in an out‐of‐sample forecasting exercise. There is some evidence that, at least in part, this result seems to be related to a weakening of the effectiveness of monetary policy in the euro area interest during times of excessive US liquidity. In contrast, the influence of euro area excess liquidity on euro area inflation is more limited.