Quest Iii An Estimated Dsge Model Of The Euro Area With Fiscal And Monetary Policy

This paper develops a DSGE model for an open economy and estimates it on euro area data using Bayesian estimation techniques. The model features nominal and real frictions, as well as financial frictions in the form of liquidity constrained households. The model incorporates active monetary and fiscal policy rules (for government consumption, investment, transfers and wage taxes) and can be used to analyse the effectiveness of stabilisation policies. To capture the unit root character of macroeconomic time-series we allow for stochastic trend in TFP, but instead of filtering data prior to estimation, we estimate the model in growth rates and stationary nominal ratios.

This paper develops a DSGE model for an open economy and estimates it on euro area data using Bayesian estimation techniques. The model features nominal and real frictions, as well as financial frictions in the form of liquidity constrained households. The model incorporates active monetary and fiscal policy rules (for government consumption, investment, transfers and wage taxes) and can be used to analyse the effectiveness of stabilisation policies. To capture the unit root character of macroeconomic time-series we allow for stochastic trend in TFP, but instead of filtering data prior to estimation, we estimate the model in growth rates and stationary nominal ratios."--Publication information p.

This open access book encompasses a collection of in-depth analyses showcasing the challenges and ways forward for macroeconomic modelling of R&D and innovation policies. Based upon the proceedings of the EC-DG JRC-IEA workshop held in Brussels in 2017, it presents cutting-edge contributions from a number of leading economists in the field. It provides a comprehensive overview of the current academic and policy challenges surrounding R&D as well as of the state-of-the-art modelling techniques. The book brings to the forefront outstanding issues related to the assessment of the macroeconomic impact of R&D policies and its modelling. It speaks to the rising importance of R&D and innovation policy, and the proliferation of macroeconomic models featuring endogenous technological change. The contents of this book will be of interest to both academic and policy audiences working in the fields of R&D and innovation.

This paper uses an estimated DSGE model for the euro area to study the effects of fiscal stabilisation policies. There are at least two features of the euro area economy which makes this analysis interesting. First, there are nominal rigidities in goods and labour markets, and there are financial market frictions with a significant share of liquidity constrained households. Second, the government is a major sector of the euro area economy. In this paper we look at fiscal stabilisation via government consumption, investment, transfers and wage taxes. Empirical evidence is found for systematic countercyclical fiscal policy. Consistent with previous findings, there is a small positive fiscal multiplier in the case of transitory fiscal shocks. It is found that fiscal policy is effective in stabilising GDP in the presence of demand and supply shocks. Fiscal policy helps to reduce the demand externality arising from nominal rigidities. In addition automatic stabilisation via government transfers helps to smooth consumption of liquidity constrained household. Fiscal policy partly compensates the financial market distortion. With distorted goods, labour and financial markets it is found that the estimated fiscal policy rules reduce fluctuations in euro area GDP by about 14 percent.

This paper builds a model-based dynamic monetary and fiscal conditions index (DMFCI) and uses it to examine the evolution of the joint stance of monetary and fiscal policies in the euro area (EA) and in its three largest member countries over the period 2007-2018. The index is based on the relative impacts of monetary and fiscal policy on demand using actual and simulated data from rich estimated models featuring also financial intermediaries and long-term government debt. The analysis highlights a short-lived fiscal expansion in the aftermath of the Global Financial Crisis, followed by a quick tightening, with monetary policy left to be the “only game in town” after 2013. Individual countries’ DMFCIs show that national policy stances did not always mirror the evolution of the aggregate stance at the EA level, due to heterogeneity in the fiscal stance.

We build a factor-augmented interacted panel vector-autoregressive model of the Euro Area (EA) and estimate it with Bayesian methods to compute government spending multipliers. The multipliers are contingent on the overall monetary policy stance, captured by a shadow monetary policy rate. In the short run (one year), whether the fiscal shock occurs when the economy is at the effective lower bound (ELB) or in normal times does not seem to matter for the size of the multiplier. However, as the time horizon increases, multipliers diverge across the two regimes. In the medium run (three years), the average multiplier is about 1 in normal times and between 1.6 and 2.8 at the ELB, depending on the specification. The difference between the two multipliers is distributed largely away from zero. More generally, the multiplier is inversely correlated with the level of the shadow monetary policy rate. In addition, we verify that EA data lend support to the view that the multiplier is larger in periods of economic slack, and we show that the shadow rate and the state of the business cycle are autonomously correlated with its size. The econometric approach deals with several technical problems highlighted in the empirical macroeconomic literature, including the issues of fiscal foresight and limited information.