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Investment fell sharply in the euro area after the financial crisis and has not yet returned to pre-crisis levels in many core economies. Focusing on the four largest euro-area countries, this paper investigates the role of uncertainty for investment dynamics. By doing so, we compare five prominent uncertainty proxies put forward in the recent literature: the (implied) stock market volatility, a survey-derived measure of expectations dispersion, a newspaper-based indicator of policy uncertainty, and two indicators taking up the concept of (econometric) unpredictability. Although all uncertainty measures show countercyclical behavior, we find uncertainty as measured by the conditional volatility of the unforecastable components of a broad set of time series to exhibit noticeable robust effects across different model specifications and countries. Based on this type of uncertainty proxy, we document pronounced negative investment responses to uncertainty shocks. We further show that these effects can explain a relevant portion of the decrease in investment in the course of the Great Recession.

We estimate a New Keynesian DSGE model on French, German, Italian, and Spanish data. The main aim of this paper is to check for the respective sets of parameters that are stable over time, making use of the ESS procedure ('Estimate of Set of Stable parameters') developed by Inoue and Rossi (2011). This new econometric technique allows to address the stability properties of each single parameter in a DSGE model separately. In the case of France, Germany, and Italy our results point to structural breaks after the beginning of the second stage of EMU in the mid-nineties, while the estimates for Spain show a significant break just before the start of the third stage in 1998. Specifically, there are significant changes in monetary policy behavior for France, Italy, and Spain, while monetary policy in Germany seems to be stable over time.

We simulate the fiscal stimulus packages set up by the German government to allevi-ate the costs of the COVID-19 pandemic in a dynamic New Keynesian multi-sectorgeneral equilibrium model. We find that, cumulated over 2020-2022, output lossesrelative to steady state can be reduced by more than 4 PP. On average, welfare costsof the pandemic can be mitigated by 5%, and even by 20% for liquidity-constrainedhouseholds. The long-run present value multiplier of the package amounts to 0.2. Consumption tax cuts and transfers to households primarily stabilize private con-sumption, and subsidies prevent firm defaults. The most cost-efficient measure isan increase in productivity-enhancing public investment. However, it materializesonly in the medium to long-term.