Empirical modelling of the monetary policy effects using conventional linear econometric models is put to a great test when interest rates approach the zero-lower bound. A possible remedy recently proposed in the literature is to introduce a shadow short rate (SSR) obtained from the yield curve model as an alternative monetary policy measure. This paper examines the usefulness of shadow rates as a policy stance measure for the Euro area. Moreover, the SSR can be used to study the country-specific monetary policy stance. We incorporate the shadow short rate in a standard vector autoregressive analysis to study the effects of monetary policy shocks both at the level of the Euro area and for two periphery EA countries, Italy and Spain, that endured significant financial stress during the crisis. Our analysis shows that monetary policy shocks identified form the SSR produce similar macro responses as shocks identified from the standard policy rate. The Euro area shocks can directly translate to a corresponding change in the country-specific financing conditions in the periphery, whereas the reverse effect is limited. The historical decomposition of the stochastic component of the SSR series shows that the unconventional policy measures were effective in stabilising the sovereign crisis in 2011, however, their relatively limited quantity provided only a weak stimulus to the economy.

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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. In terms of the implications for the ECB's economic and monetary analysis going forward, the work of the EGIE essentially highlights the need for (i) more data on households' and firms' inflation expectations, (ii) a comprehensive framework for assessing (un)anchoring and (iii) further considerations regarding the use of observed expectation measures in forecasting models.

This paper provides an assessment of the macroeconomic models regularly used for forecasting and policy analysis in the Eurosystem. These include semi-structural, structural and time-series models covering specific jurisdictions and the euro area within a closed economy, small open economy, multi-country or global setting. Models are used as analytical frameworks for building baseline projections and for supporting the preparation of monetary policy decisions. The paper delivers four main contributions. First, it provides a survey of the macroeconomic modelling portfolios currently used or under development within the Eurosystem. Second, it explores the analytical gaps in the Eurosystem models and investigates the scope for further enhancement of the main projection and policy models, and the creation of new models. Third, it reviews current practices in model-based analysis for monetary policy preparation and forecasting and provides recommendations and suggestions for improvement. Finally, it reviews existing cooperation modalities on model development and proposes alternative sourcing and organisational strategies to remedy any knowledge or analytical gaps identified.