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Aidan Meyler

Economics

Division

Prices & Costs

Current Position

Senior Lead Economist

Fields of interest

Macroeconomics and Monetary Economics,International Economics,Mathematical and Quantitative Methods

Email

aidan.meyler@ecb.europa.eu

Education
1998-1998

Diploma in Business Strategy, Irish Management Institute, Dublin Ireland

1993-1995

M Litt in Economics, Trinity College, Dublin Ireland

1989-1993

BA in Economics, Trinity College, Dublin Ireland

Professional experience
2019-

Senior Lead Economist - Prices and Costs Division, Directorate Economic Developments, European Central Bank

2016-2019

Adviser to the ECB Permanent Representative at the IMF, European Central Bank

2014-2016

Principal Economist - Prices and Costs Division, Directorate Economic Developments, European Central Bank

2009-2014

Principal Economist - Convergence and Structural Unit, Directorate General Economics, European Central Bank

2005-2009

Principal Economist - Euro Area Macroeconomics Division, Directorate General Economics, European Central Bank

2001-2005

Senior Economist - Euro Area Macroeconomics Division, Directorate General Economics, European Central Bank

1997-2001

Economist - Research Department, Central Bank of Ireland

1995-1997

Industrial Policy Analyst - Forfás (Irish Industrial Development Authority)

Awards
2015

Outstanding paper award to "Combining expert forecasts: Can anything beat the simple average?" for papers published in the International Journal of Forecasting in the period 2012-2013

2008

Isaac Kerstenetzky Award for "Growth and unemployment rate expectations in the Euro Area: empirical evidence from the ECB’s Survey of Professional Forecasters"

Teaching experience
1993-1995

Teaching Assistant - Intermediate Macroeconomics Prof McAleese and Prof O'Toole, Trinity College, Dublin Ireland

16 December 2024
OCCASIONAL PAPER SERIES - No. 364
Details
Abstract
This paper looks back on the 25-year history of the ECB Survey of Professional Forecasters (SPF). Since its launch in the first quarter of 1999, it has served as an important input for policymaking and analysis, especially over the past five years, where the euro area has, following a period of low inflation, navigated a global pandemic, Russia’s invasion of Ukraine and an unprecedented surge in inflation. The survey has evolved over time and provides not only a long time series of economic expectations and forecasts, but also valuable insights on key topical issues and on economic risks and uncertainties. We show that, for each of the three main macroeconomic variables forecast – HICP inflation, real GDP growth and the unemployment rate – the track record of the ECB SPF in forecasting has been broadly comparable to that of the Eurosystem. In addition, its combination of quantitative point forecasts and probability distributions with qualitative explanations has provided useful input for macroeconomic analysis. Beyond analyses of the forecasts for the main macroeconomic variables, there are also two further sections that examine the technical assumptions (oil prices, policy rates, exchange rates and wages) underlying SPF expectations and an analysis and assessment of measures of macroeconomic uncertainty. Technical assumptions are shown to account for the lion’s share of the variance in the inflation forecast errors, while uncertainty is shown to have increased considerably relative to that which prevailed during the early years of the SPF (1999-2008). Looking ahead, the SPF – with its long track record, its large and broad panel (spanning both financial and non-financial forecasters) and committed panellists – will undoubtedly continue to provide timely and useful insights for the ECB’s policymakers, macroeconomic experts, economic researchers and the wider public.
JEL Code
D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E66 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→General Outlook and Conditions
28 September 2023
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 6, 2023
Details
Abstract
Consumer perceptions of the factors driving inflation can be an important determinant of their economic behaviour and inflation expectations. In this context, in June 2023 the ECB’s Consumer Expectations Survey asked consumers what they believed was the main factor driving changes in the general level of prices for goods and services in their country over the past 12 months. Most consumers believe that price changes over the past 12 months were mainly driven by input cost factors, with corporate profits ranked second and wages third. Consumers responding that other input costs are the main driver expect inflation to be less persistent. Consumer perceptions of the factors driving inflation should continue to be monitored. As the various drivers can influence inflation persistence differently, profits or wages being perceived as more prominent drivers in the future could have implications for consumers’ medium-term inflation expectations.
JEL Code
D11 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Theory
D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
9 November 2022
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 7, 2022
Details
Abstract
The strong increase in euro area HICP inflation over the past 18 months has placed additional emphasis on monitoring and understanding the behaviour of consumers’ inflation expectations. Data from the ECB’s Consumer Expectations Survey show that, after HICP inflation rose above 2% in July 2021, consumers’ inflation perceptions and expectations started to move upwards too. However, this rise in shorter-term (one-year ahead) inflation expectations was much more pronounced than that of more medium-term (three-years ahead) expectations and the term structure of consumers’ inflation expectations remained strongly downward sloping. There is some evidence that the responsiveness of inflation expectations to inflation perceptions has increased recently, but it remains noticeably lower for medium-term inflation expectations. Consumers’ uncertainty surrounding their inflation expectations has also grown. Overall, the upward movement in expectations, the increase in uncertainty surrounding them and rising sensitivity of medium-term expectations to perceived current inflation all call for continued close monitoring and analysis.
JEL Code
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
20 September 2022
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 6, 2022
Details
Abstract
The strong rise in inflation has renewed attention on longer-term inflation expectations. The distribution of individual longer-term inflation expectations from the ECB Survey of Professional Forecasters has recently recentred around 2%, although some respondents have lately raised their inflation expectations clearly above 2%. Some commentators have argued that movements in the upper “tails” of the inflation expectations’ distribution might signal a possible de-anchoring of expectations. This box takes a closer look at recent movements in long-term inflation expectations, especially of those forecasters currently in the upper tail of the distribution. We find that (a) historically, this tail group's longer-term inflation expectations have been higher, more volatile and more sensitive to realised inflation than the expectations of the rest of respondents, (b) respondents in this tail group perceive the current inflation spike to be more persistent, and (c) the evidence suggests that their expectations have not led movements in those of the rest of the professional forecasters.
JEL Code
E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
D83 : Microeconomics→Information, Knowledge, and Uncertainty→Search, Learning, Information and Knowledge, Communication, Belief
D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
14 September 2022
THE ECB BLOG
Details
JEL Code
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
J16 : Labor and Demographic Economics→Demographic Economics→Economics of Gender, Non-labor Discrimination
Related
22 June 2022
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 4, 2022
Details
Abstract
This box assesses the extent to which current private sector forecasts point to expectations of stagflation in the euro area reminiscent of the stagflation episode in the 1970s. Stagflation refers to a protracted period of flat or negative growth combined with high or increasing inflation, as witnessed in the main advanced economies in the 1970s. Private forecasters do not currently envisage a period of stagflation for the euro area.
JEL Code
E20 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→General
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
N14 : Economic History→Macroeconomics and Monetary Economics, Industrial Structure, Growth, Fluctuations→Europe: 1913?
21 June 2022
ECONOMIC BULLETIN - ARTICLE
Economic Bulletin Issue 4, 2022
Details
Abstract
Record-high energy price increases at the end of 2021 and beginning of 2022 put significant pressures on the purchasing power of consumers. These increases followed a marked decline in energy prices at the onset of the coronavirus (COVID-19) pandemic. While the initial increase in energy prices from the summer of 2020 was mainly driven by the recovery in energy demand following the easing of lockdown measures after the first wave of the pandemic, the subsequent price rally during 2021 was also significantly affected by supply-side issues. This development was aggravated in early 2022 by the Russian invasion of Ukraine. The increase in European gas prices since the summer of 2021 has been particularly sharp, reflecting a combination of supply and demand factors that left European gas inventories at historically low levels ahead of the winter season and the gas market vulnerable to supply and demand uncertainty, including from escalating geopolitical tensions. As a result, consumer gas prices and consumer electricity prices (driven by gas prices) played an increasingly important role in developments in HICP energy and were also accompanied by unprecedented cross-country heterogeneity in energy price developments.
JEL Code
Q43 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Energy→Energy and the Macroeconomy
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
Q02 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→General→Global Commodity Markets
L90 : Industrial Organization→Industry Studies: Transportation and Utilities→General
15 February 2022
WORKING PAPER SERIES - No. 2642
Details
Abstract
Consumers’ inflation expectations play a key role in the monetary transmission mechanism. As such, it is crucial for monetary policymakers to understand what they are and how they are formed. In this paper we introduce the (un)certainty channel as means to shed light on some of the more puzzling aspects of reported quantitative inflation perceptions and expectations. These include the apparent overestimation of inflation by consumers as well as the negative correlation observed between the economic outlook and inflation expectations. We also show that the uncertainty framework fits with some of the stylised facts of consumers’ inflation expectations, such as their correlation with socio-demographic characteristics and economic sentiment.
JEL Code
D11 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Theory
D12 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Empirical Analysis
D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
11 November 2021
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 7, 2021
Details
Abstract
In the wake of the ECB’s new monetary policy strategy, a special survey was conducted among the panel of participants in the ECB’s Survey of Professional Forecasters (SPF). The aim of the survey was to gain an insight into how the participants in the regular SPF survey have assessed the new strategy and into whether it has already had, or will have, an impact on their forecasts. Overall, respondents considered the new strategy to be an improvement, identifying the clearer inflation target (2%) and explicit commitment to symmetry as key elements. Regarding the impact on macroeconomic forecasts, around one-third of respondents indicated that they had revised their point longer-term inflation expectations, and a slightly larger portion indicated that they had revised (up) the balance of risks surrounding those expectations in response to the new strategy. The results of the survey suggest there is a strong correlation between what respondents viewed as key aspects in the new strategy and what they viewed as key improvements compared with the previous strategy.
JEL Code
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
21 September 2021
OCCASIONAL PAPER SERIES - No. 269
Details
Abstract
The ECB’s price stability mandate has been defined by the Treaty. But the Treaty has not spelled out what price stability precisely means. To make the mandate operational, the Governing Council has provided a quantitative definition in 1998 and a clarification in 2003. The landscape has changed notably compared to the time the strategy review was originally designed. At the time, the main concern of the Governing Council was to anchor inflation at low levels in face of the inflationary history of the previous decades. Over the last decade economic conditions have changed dramatically: the persistent low-inflation environment has created the concrete risk of de-anchoring of longer-term inflation expectations. Addressing low inflation is different from addressing high inflation. The ability of the ECB (and central banks globally) to provide the necessary accommodation to maintain price stability has been tested by the lower bound on nominal interest rates in the context of the secular decline in the equilibrium real interest rate. Against this backdrop, this report analyses: the ECB’s performance as measured against its formulation of price stability; whether it is possible to identify a preferred level of steady-state inflation on the basis of optimality considerations; advantages and disadvantages of formulating the objective in terms of a focal point or a range, or having both; whether the medium-term orientation of the ECB’s policy can serve as a mechanism to cater for other considerations; how to strengthen, in the presence of the lower bound, the ECB’s leverage on private-sector expectations for inflation and the ECB’s future policy actions so that expectations can act as ‘automatic stabilisers’ and work alongside the central bank.
JEL Code
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
21 September 2021
OCCASIONAL PAPER SERIES - No. 264
Details
Abstract
This paper summarises the findings of the Eurosystem’s Expert Group on Inflation Expectations (EGIE), which was one of the 13 work streams conducting analysis that fed into the ECB’s monetary policy strategy review. The EGIE was tasked with (i) reviewing the nature and behaviour of inflation expectations, with a focus on the degree of anchoring, and (ii) exploring the role that measures of expectations can play in forecasting inflation. While it is households’ and firms’ inflation expectations that ultimately matter in the expectations channel, data limitations have meant that in practice the focus of analysis has been on surveys of professional forecasters and on market-based indicators. Regarding the anchoring of inflation expectations, this paper considers a number of metrics: the level of inflation expectations, the responsiveness of longer-term inflation expectations to shorter-term developments, and the degree of uncertainty. Different metrics can provide conflicting signals about the scale and timing of potential unanchoring, which underscores the importance of considering all of them. Overall, however, these metrics suggest that in the period since the global financial and European debt crises, longer-term inflation expectations in the euro area have become less well anchored. Regarding the role measures of inflation expectations can play in forecasting inflation, this paper finds that they are indicative for future inflationary developments. When it comes to their predictive power, both market-based and survey-based measures are found to be more accurate than statistical benchmarks, but do not systematically outperform each other. Beyond their role as standalone forecasts, inflation expectations bring forecast gains when included in forecasting models and can also inform scenario and risk analysis in projection exercises performed using structural models. ...
JEL Code
D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
23 March 2021
ECONOMIC BULLETIN - ARTICLE
Economic Bulletin Issue 2, 2021
Details
Abstract
Consumers’ inflation expectations play a key role in the monetary transmission mechanism. As such, it is crucial for monetary policymakers to understand their nature and how they are formed. This article shows that inflation (un)certainty is a channel that can shed light on some of the more puzzling aspects of reported quantitative inflation perceptions and expectations. It helps explain why these may be higher than actual inflation. This is because, in a situation of uncertainty, many consumers report in rounded numbers, often leading them to quantitatively overestimate inflation. We also show that the uncertainty framework fits with some of the stylised facts of consumers’ inflation expectations, such as their correlation with sociodemographic characteristics and economic sentiment. Furthermore, the uncertainty channel may also explain the negative correlation observed between the economic outlook and inflation expectations.
JEL Code
D11 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Theory
D12 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Empirical Analysis
D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
4 February 2020
WORKING PAPER SERIES - No. 2371
Details
Abstract
In this paper, we consider whether differences in the forecast performance of ECB SPF respondents reflect ability or chance. Although differences in performance metrics sometimes appear substantial, it is challenging to determine whether they reflect ex ante skill or other factors impacting ex post sampling variation such as the nature of economic shocks that materialised or simply which rounds participants responded in. We apply and adapt an approach developed by D’Agostino et al. (2012) who used US SPF data. They developed a test of a null hypothesis that all forecasters have equal ability. Their statistic reflects both the absolute and relative performance of each forecaster and they used bootstrap techniques to compare the empirical results with the equivalents obtained under the null hypothesis of equal forecaster ability. Our results, at a first pass, suggest that there would appear to be evidence of good/bad forecasters. However once we control for the autocorrelation that is caused by the overlapping rolling horizons, we find, like D’Agostino et al. (2012), that the best forecasters are not statistically significantly better than others. Unlike D’Agostino et al. (2012), however, we do not find evidence of forecasters that perform very significantly worse than others. Controlling for autocorrelation is a key feature of this paper relative to previous work. Our results hold considering the whole sample period of the ECB SPF (1999-2018) as well as the pre- and post-global financial crisis samples. We also find that when assessed across all variables and horizons, the aggregate (consensus) SPF forecast performs best.
JEL Code
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
E27 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Forecasting and Simulation: Models and Applications
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
5 February 2019
ECONOMIC BULLETIN - ARTICLE
Economic Bulletin Issue 1, 2019
Details
Abstract
For two decades the ECB Survey of Professional Forecasters (SPF) has been collecting point forecasts and probability distributions for euro area-wide HICP inflation, real GDP growth and the unemployment rate at different horizons. This article documents the evolution of the SPF through the changing economic landscape of the past twenty years, including the Great Moderation, with relatively high economic growth and stable inflation, the financial crisis and, more recently, a prolonged period of subdued inflationary pressures. Analyses show that the strong and persistent shocks in the past ten years have created challenges for the stability of the economic relationships and mean reversion tendencies on which forecasts tend to be based. They also suggest that in 2009 there was a lasting increase in forecasters’ assessments of uncertainty across all variables and horizons. Learning from the SPF has remained a useful input for the ECB’s economic analysis and monetary policy.
JEL Code
D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
19 April 2017
OCCASIONAL PAPER SERIES - No. 186
Details
Abstract
This report updates and extends earlier assessments of quantitative inflation perceptions and expectations of consumers in the euro area and the EU using an anonymised micro data set collected by the European Commission in the context of the Harmonised EU Programme of Business and Consumer Surveys. Confirming earlier findings, consumers' quantitative estimates of inflation are found to be higher than actual HICP (Harmonised Index of Consumer Prices) inflation over the entire sample period (2004-2015). The analysis shows that European consumers hold different opinions of inflation depending on their income, age, education and gender. Although many of the features highlighted for the EU and the euro area aggregates are valid across individual Member States, differences exist also at the country level. Despite the higher inflation estimates, there is a high level of co-movement between measured and estimated (perceived/expected) inflation. Even respondents providing estimates largely above actual HICP inflation, demonstrate understanding of the relative level of inflation during both high and low inflation periods. Based on these economically plausible results, the report concludes that further work should be devoted to defining concrete aggregate indicators of consumers' quantitative inflation perceptions and expectations on the basis of the dataset used in this study. Moreover, it outlines a number of future research topics that can be addressed by exploiting the enormous potential of the data set.
JEL Code
D8 : Microeconomics→Information, Knowledge, and Uncertainty
D12 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Empirical Analysis
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
6 November 2015
WORKING PAPER SERIES - No. 1865
Details
Abstract
This paper analyses the predictive power of market-based and survey-based inflation expectations for actual inflation. We use the data on inflation swaps and the forecasts from the Survey of Professional Forecasters for the euro area and United States. The results show that both, market-based and survey-based measures have a non-negligible predictive power for inflation developments, as compared to statistical benchmark models. Therefore, for horizons of one and two years ahead, market-based and survey-based inflation expectations actually convey information on future inflation developments.
JEL Code
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
G13 : Financial Economics→General Financial Markets→Contingent Pricing, Futures Pricing
31 October 2012
OCCASIONAL PAPER SERIES - No. 138
Details
Abstract
Between the start of the economic and financial crisis in 2008, and early 2010, almost four million jobs were lost in the euro area. Employment began to rise again in the first half of 2011, but declined once more at the end of that year and remains at around three million workers below the pre-crisis level. However, in comparison with the severity of the fall in GDP, employment adjustment has been relatively muted at the aggregate euro area level, mostly due to significant labour hoarding in several euro area countries. While the crisis has, so far, had a more limited or shorter-lived impact in some euro area countries, in others dramatic changes in employment and unemployment rates have been observed and, indeed, more recent data tend to show the effects of a re-intensification of the crisis. The main objectives of this report are: (a) to understand the notable heterogeneity in the adjustment observed across euro area labour markets, ascertaining the role of the various shocks, labour market institutions and policy responses in shaping countries
JEL Code
E42 : Macroeconomics and Monetary Economics→Money and Interest Rates→Monetary Systems, Standards, Regimes, Government and the Monetary System, Payment Systems
F15 : International Economics→Trade→Economic Integration
F33 : International Economics→International Finance→International Monetary Arrangements and Institutions
F41 : International Economics→Macroeconomic Aspects of International Trade and Finance→Open Economy Macroeconomics
30 September 2011
OCCASIONAL PAPER SERIES - No. 128
Details
Abstract
The distributive trades sector, which is primarily accounted for by wholesale and retail trade, is not only economically important in its own right, but also relevant to monetary policy. Ultimately, it is retailers who set the actual prices of most consumer goods. They are the main interface between producers of consumer goods and consumers, with around half of private consumption accounted for by retail trade. The
JEL Code
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
F41 : International Economics→Macroeconomic Aspects of International Trade and Finance→Open Economy Macroeconomics
8 December 2010
WORKING PAPER SERIES - No. 1277
Details
Abstract
In this paper, we explore the potential gains from alternative combinations of the surveyed forecasts in the ECB Survey of Professional Forecasters. Our analysis encompasses a variety of methods including statistical combinations based on principal components analysis and trimmed means, performance-based weighting, least squares estimates of optimal weights as well as Bayesian shrinkage. We provide a pseudo real-time out-of-sample performance evaluation of these alternative combinations and check the sensitivity of the results to possible data-snooping bias. The latter robustness check is also informed using a novel real time meta selection procedure which is not subject to the data-snooping critique. For GDP growth and the unemployment rate, only few of the forecast combination schemes are able to outperform the simple equal-weighted average forecast. Conversely, for the inflation rate there is stronger evidence that more refined combinations can lead to improvement over this benchmark. In particular, for this variable, the relative improvement appears significant even controlling for data snooping bias.
JEL Code
C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
16 June 2010
OCCASIONAL PAPER SERIES - No. 113
Details
Abstract
This report aims to analyse euro area energy markets and the impact of energy price changes on the macroeconomy from a monetary policy perspective. The core task of the report is to analyse the impact of energy price developments on output and consumer prices. Nevertheless, understanding the link between energy price fluctuations, inflationary pressures and the role of monetary policy in reacting to such pressure requires a deeper look at the structure of the economy. Energy prices have presented a challenge for the Eurosystem, as the volatility of the energy component of consumer prices has been high since the creation of EMU. At the same time, a look back into the past may not necessarily be very informative for gauging the likely impact of energy price changes on overall inflation in the future. For instance, the reaction of HICP inflation to energy price fluctuations seems to have been more muted during the past decade than in earlier periods such as the 1970s.
JEL Code
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
Network
Eurosystem Monetary Transmission Network
5 April 2007
OCCASIONAL PAPER SERIES - No. 59
Details
Abstract
Eight years have passed since the European Central Bank (ECB) launched its Survey of Professional Forecasters (SPF). The SPF asks a panel of approximately 75 forecasters located in the European Union (EU) for their short- to longer-term expectations for macroeconomic variables such as euro area inflation, growth and unemployment. This paper provides an initial assessment of the information content of this survey. First, we consider shorter-term (i.e., one- and two-year ahead rolling horizon) forecasts. The analysis suggests that, over the sample period, in common with other private and institutional forecasters, the SPF systematically under-forecast inflation but that there is less evidence of such systematic errors for GDP and unemployment forecasts. However, these findings, which generally hold regardless of whether one considers the aggregate SPF panel or individual responses, should be interpreted with caution given the relatively short sample period available for the analysis. Second, we consider SPF respondents
JEL Code
C83 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs→Survey Methods, Sampling Methods
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E50 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→General
2022
SUERF - The European Money and Finance Forum
  • Reiche L., Meyler A. and Gayer C.
2022
VoxEU CEPR
  • Reiche L., Meyler A. and Gayer C.
2022
European Economy Discussion Papers
  • Reiche, L. and Meyler, A.
2018
International Journal of Financial Research
  • Grothe, M. and Meyler, A.
2016
European Economy Discussion Papers
  • Arioli, R., Bates, C., Dieden, H., Duca, I., Friz, R., Gayer, C., Kenny, G., Meyler, A. and Pavlova, I.
2013
International Journal of Forecasting
  • Genre, V., Kenny, G., Meyler, A. and Timmermann, A.
2010
Journal of Business Cycle Measurement and Analysis
  • Bowles, C., Friz, R., Genre, V., Kenny, G., Meyler, A. and Rautanen, T.
2010
International Association for Energy Economics European Conference
  • Cornille D. and Meyler A.
2009
ECB mimeo
  • Meyler A. and Rubene I.
2009
Energy Economics
  • Meyler, A.
2000
Economic and Social Studies
  • Meyler, A. and Strobl, E.
1999
Central Bank of Ireland Quarterly Bulletin
  • Meyler A.
1999
Central Bank of Ireland Quarterly Bulletin
  • Quinn T., Kenny G. and Meyler A.
1999
Central Bank of Ireland Research Technical Papers
  • Quinn, T., Kenny, G. and Meyler, A.
1999
Central Bank of Ireland Research Technical Papers
  • Meyler, A.
1999
Central Bank of Ireland Research Technical Papers
  • Meyler, A.
1998
Central Bank of Ireland Research Department Memorandum
A Note on the Construction of an Historical (November 1975 - May 1998) HICP Series for Ireland
  • Meyler A., Kenny G. and Quinn T.
1998
Department of Economics Trinity College Dublin Economics Technical Papers
  • Meyler, A.
1998
Central Bank of Ireland Research Technical Papers
  • Kenny, G., Meyler, A. and Quinn, T.
1998
Central Bank of Ireland Research Technical Papers
  • Meyler, A., Kenny, G. and Quinn, T.
1997
Department of Economics Trinity College Dublin Economics Technical Papers
  • Meyler, A. and Strobl, E.