QUEST III: An estimated open-economy 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 a stochastic trend in TFP, but instead of filtering data prior to estimation, we estimate the model in growth rates and stationary nominal ratios.     

A two-pillar DSGE monetary policy model for the euro area

The current financial crisis has revived the interest for monitoring both monetary and credit developments. Over the past two decades, consistent with the adoption of inflation targeting strategies by a growing number of central banks and the development of New Keynesian models for which monetary aggregates are largely irrelevant, money and credit have been progressively neglected in the conduct of monetary policy. A striking exception has been the Eurosystem, which has implemented a strategy known as the “two-pillar monetary policy strategy” giving a prominent role for money. In this paper, we develop a small optimizing model based on Ireland (2004), estimated on euro area data and featuring this two-pillar strategy. We evaluate an ECB-style cross-checking policy rule in a DSGE model with real balance effects of money. We find some evidence that indeed money plays a non-trivial role in explaining the euro area business cycle. This provides a rationale for the central bank to factor in monetary developments but also raises some issues regarding the reliability of M3 as an appropriate monetary indicator. We find some evidence that the ECB has systematically reacted to a filtered measure of money growth but weak evidence it has reacted more aggressively during excess money growth periods.     

A graphical representation of an estimated DSGE model

We write a New Keynesian model as an aggregate demand curve and an aggregate supply curve, relating inflation to output growth. The graphical representation shows how structural shocks move aggregate demand and supply simultaneously. We estimate the curves on US data from 1948 to 2010 and study two recessions: the 2001 recession and the Great Recession of 2008–2009. The Great Recession is explained by a collapse of aggregate demand driven by adverse preference and permanent technology shocks, and expectations of low inflation.     

A small estimated euro area model with rational expectations and nominal rigidities

We estimate a small model of the euro area to be used for evaluating alternative monetary policy strategies. Starting with the relationship between output and inflation we compare the fit of the nominal wage contracting model due to Taylor (J. Political Econom. 88 (1980) 1) and the relative real wage contracting model proposed by Buiter and Jewitt (The Manchester School 49 (1981) 211; reprinted in Buiter (Ed.), Macroeconomic Theory and Stabilization Policy, Manchester University Press, Manchester, 1989) and estimated with U.S. data by Fuhrer and Moore (Quart. J. Econom. 110 (1995) 127). While Fuhrer and Moore reject nominal contracts in favor of relative contracts, which induce more inflation persistence, we find that both specifications fit euro area data reasonably well. When considering France, Germany and Italy separately, however, we find that nominal contracts fit German data better, while the relative contracting model does well with respect to formerly high inflation countries such as France and Italy. We close the model by estimating an aggregate demand relationship and investigate the implications of nominal versus relative contracts for the inflation-output variability tradeoff when monetary policy follows Taylor's rule.     

Stock market wealth effects in an estimated DSGE model for Hong Kong

This paper develops and estimates an open-economy dynamic stochastic general equilibrium (DSGE) model of the Hong Kong economy. The model features short-run price rigidities generated by monopolistic competition and staggered reoptimization. We devote special attention to asset prices and wealth effects, which we believe to be important. For this reason we adopt a perpetual-youth approach. Model parameters and unobserved components are estimated with a Bayesian maximum likelihood procedure, conditional on prior information concerning the values of parameters. The estimations identify substantial wealth effects and indicate that the nominal interest rate responds to unexpected movements in stock prices.     

Structural heterogeneity or asymmetric shocks? Poland and the euro area through the lens of a two-country DSGE model

This paper presents a two-country model linking Poland and the euro area and applies it for assessment of heterogeneity across these two regions. Overall, our results can be seen as rather inconclusive about the differences in parameters describing agents' decision-making in Poland and in the euro area. On the contrary, we find strong evidence for heterogeneity in terms of volatility and synchronization of shocks hitting both economies. Our results may be viewed as a step towards estimating the costs of Poland's entry to the European Monetary Union, associated with giving up the monetary autonomy and losing benefits from stabilizing movements of the exchange rate.     

The transmission of financial shocks in an estimated DSGE model with housing and banking

We develop a dynamic stochastic general equilibrium (DSGE) model with housing and banking to study the transmission of financial shocks between the financial and real sectors. A deterioration in the bank's balance sheet induced by financial shocks could have amplified and persistent impacts on real activities. The amplification of the shocks are originated from financial frictions tied to households and banks. We find that a disruption in bank net worth initiated by capital quality shocks generates a decline in household loans, house prices and output. Bank liquidity shocks also have negative effects on these variables. Housing preference shocks could generate a positive comovement between house prices and output. All these findings are qualitatively consistent with empirical evidence, suggesting that these financial shocks are critical to the dynamics of house prices and other macroeconomic variables.     

A new approach to measuring competition in the loan markets of the euro area

This article is the first that applies a new measure of competition, the Boone indicator, to the banking industry. This approach is able to measure competition of bank market segments, such as the loan market, whereas many well-known measures of competition can consider the entire banking market only. Like most other model-based measures, this approach ignores differences in bank product quality and design, as well as the attractiveness of innovations. We measure competition on the lending markets in the five major EU countries as well as, for comparison, the UK, the US and Japan. Our findings indicate that over the period 1994–2004 the US had the most competitive loan market, whereas overall loan markets in Germany and Spain were among the best competitive in the EU. The Netherlands occupied a more intermediate position, whereas in Italy competition declined significantly over time. The French, Japanese and UK loan markets were generally less competitive.     

An estimated two-country DSGE model of Austria and the Euro Area

We present a two-country New Open Economy Macro model of the Austrian economy within the European Union’s Economic & Monetary Union (EMU). The model includes both nominal and real frictions that have proven to be important in matching business cycle facts, and that allow for an investigation of the effects and cross-country transmission of a number of structural shocks: shocks to technologies, shocks to preferences, cost-push type shocks and policy shocks. The model is estimated using Bayesian methods on quarterly data covering the period of 1976:Q2–2005:Q1. In addition to the assessment of the relative importance of various shocks, the model also allows to investigate effects of the monetary regime switch with the final stage of the EMU and investigates in how far this has altered macroeconomic transmission. We find that Austria’s economy appears to react stronger to demand shocks, while in the rest of the Euro Area supply shocks have a stronger impact. Comparing the estimations on pre-EMU and EMU subsamples we find that the contribution of (rest of the) Euro Area shocks to Austria’s business cycle fluctuations has increased significantly.

An estimated Canadian DSGE model with nominal and real rigidities

Abstract. We develop a dynamic, stochastic, general‐equilibrium (DSGE) model due to Ireland (1997) and others and estimate it for the Canadian economy to analyse the real effects of monetary policy shocks. To generate high and persistent real effects, the model combines nominal frictions in the form of costly price adjustment with real rigidities modelled as convex costs of adjusting capital and/or employment. The structural parameters identifying transmission channels are estimated econometrically using a maximum‐likelihood procedure with a Kalman filter. The estimated nominal and real rigidities impart substantial and persistent real effects following a monetary policy shock. Furthermore, the results suggest that the monetary authority has accommodated technology shocks and has successfully offset the real effects of money‐demand shocks, by actively responding to these shocks. JEL classification: E31, E32, E52 Un modèle d’équilibre général dynamique et stochastique doté de rigidités nominales et réelles et calibré avec des données canadiennes. Dans la présente étude, nous développons un modèle d’équilibre général dynamique et stochastique (EGDS), élaboré par Ireland (1997) et d’autres, et estimons ce modèle pour l’économie canadienne. Afin de générer des effets réels considérables et persistants des chocs monétaires, nous intégrons à ce modèle des frictions nominales et réelles sous la forme de coûts d’ajustement des prix, du capital et de l’emploi. En utilisant la méthode du maximum de vraisemblance et le filtre de Kalman, nous estimons les paramètres structurels du modèle avec des données canadiennes. Les versions du modèle d’EGDS doté de rigidités nominales et réelles génèrent des effets réels significatifs et persistants en réaction à des chocs de politique monétaire. De plus, les résultats suggèrent que l’autorité monétaire réussit bien à contenir les chocs technologiques et à annuler les effets des chocs de la demande de monnaie.     

Assessing the losses in euro area potential productivity due to the financial crisis

In this article, we show that the recent financial crisis has significantly affected the potential total factor productivity (TFP) of the four largest euro area economies, as well as that of the rest of the euro area. We used a reduced-form equation of TFP, based on an approach recently developed by Cahn and Saint-Guilhem (2010). Our empirical findings show that the permanent impact on potential TFP varies across countries from –3.9 points to –1.3 points in Q2 2012. When these losses are incorporated, TFP gaps develop closely in line with capacity utilization rates (CUR). Moreover, in the case of France, including CUR in our TFP model improves the quasi-real-time reliability of TFP gap estimates.     

The post-crisis slump in the Euro Area and the US: Evidence from an estimated three-region DSGE model

The global financial crisis (2008–09) led to a sharp contraction in both Euro Area (EA) and US real activity, and was followed by a long-lasting slump. However, the post-crisis adjustment in the EA and the US shows striking differences—in particular, the EA slump has been markedly more protracted. We estimate a three-region (EA, US and Rest of World) New Keynesian DSGE model (using quarterly data for 1999–2014) to quantify the drivers of the divergent EA and US adjustment paths. Our results suggest that financial shocks were key drivers of the 2008–09 Great Recession, for both the EA and the US. The post-2009 slump in the EA mainly reflects a combination of adverse aggregate demand and supply shocks, in particular lower productivity growth, and persistent adverse shocks to capital investment, linked to the continuing poor health of the EA financial system. Adverse financial shocks were less persistent for the US. The financial shocks identified by the model are consistent with observed performance indicators of the EA and US banking systems.     

The national segmentation of euro area bank balance sheets during the financial crisis

This paper analyses bank balance sheet data in conjunction with macroeconomic and other financial variables. Our aim is to understand the nature of the instability in financial intermediation in the euro area during the recent financial crises. We define “large changes” as significant departures in the actual evolution of balance sheet variables during the crisis from their historical association with the business and financial cycles. In the course of the global 2008–2009 financial crisis, such “large changes” were features of the behaviour of cross-border inter-bank flows, both within the euro area and between the euro area and the rest of the world. By contrast, retail assets and liabilities, as well as inter-bank flows among banks of the same country, did not significantly deviate from historical regularities. Since the euro area sovereign crisis of 2011–2012, “large changes” have been more pervasive. In particular, a significant home bias in the sovereign bond market has emerged.     

The role of financial frictions during the crisis: An estimated DSGE model

After the recent banking crisis in 2008, financial market conditions have turned out to be a relevant factor for economic fluctuations. This paper provides a quantitative assessment of the impact of financial frictions on the U.S. business cycle. The analysis compares the original Smets and Wouters model (2003, 2007) with an alternative version augmented with the financial accelerator mechanism á la Bernanke, Gertler and Gilchrist (1996, 1999). Both versions are estimated using Bayesian techniques over a sample extended to 2012. The analysis supports the role of financial channels, namely the financial accelerator mechanism, in transmitting dysfunctions from financial markets to the real economy.The Smets and Wouters model, augmented with the financial accelerator mechanism, is suitable to capture much of the historical developments in U.S. financial markets that led to the financial crisis. The model can account for the output contraction in 2008, as well as the widening in corporate spreads, and supports the argument that financial conditions have amplified the U.S. business cycle and the intensity of the recession.     

Are monetary policy shocks causal to bank health? Evidence from the euro area

Despite considerable efforts of the European Central Bank (ECB) to support bank intermediation after the 2008 financial crisis, the recovery of euro area banks remained incomplete. Although many studies indicate that central banks can influence the stock prices of firms through their policy actions and communication, a knowledge gap exists as to whether the ECB's monetary policy can influence bank health. Through a high-frequency identification approach, this study reveals that the causal effect of conventional monetary policy action and communication by the ECB on bank stock prices differed over time, whereas its influence on bank financing costs was robust. This study provides new evidence showing that information effects related to policy easing surprises in the aftermath of the 2008 financial crisis hampered the ECB efforts to improve bank health and that its Odyssean communication signals (related to forward-looking announcements of policy easing) supported bank health during this phase. Local projections suggest that the response of banks to monetary policy shocks displayed some persistence, where ECB policy surprises and communications that shifted up (down) the yield curve were normally positive (negative) for bank health. The findings solicit a new perspective when assessing the influence of the ECB's monetary policy measures on euro area banks.     

The interaction between monetary and fiscal policies in Turkey: An estimated New Keynesian DSGE model

This paper estimates a New Keynesian open economy DSGE model for Turkey by using Bayesian estimation technique for the period of 2002:q1–2009:q3. It studies fiscal and monetary policy interactions and their role in stabilisation of the economy using a small-scale model following the methodology outlined in Lubik and Schorfheide (2007). The general features of the model can be summarised as follows: Calvo style nominal price rigidities, perfect exchange rate pass-through, complete international asset markets, rule of thumb price setters and distortionary taxation.     

Inflation and inflation uncertainty in the euro area

This article estimates a time-varying AR-GARCH model of inflation producing measures of inflation uncertainty for the euro area, and investigates their linkages in a VAR framework, also allowing for the possible impact of the policy regime change associated with the start of EMU in 1999. The main findings are as follows. Steady-state inflation and inflation uncertainty have declined steadily since the inception of EMU, whilst short-run uncertainty has stabilised. A sequential dummy procedure provides further evidence of a structural break coinciding with the introduction of the euro and resulting in lower long-run uncertainty. It also appears that the direction of causality has been reversed, and that in the euro period the Friedman-Ball link is empirically supported, consistently with the idea that the ECB can achieve lower inflation uncertainty by lowering the inflation rate.     

Should a central bank react to food inflation? Evidence from an estimated model for Chile

We examine whether food price shocks are a major source of macroeconomic fluctuations. We estimate a small open economy DSGE model using an alternative Taylor rule applied to Chilean data. The empirical evidence suggests that food inflation played a non-trivial role in shaping Chile's de facto monetary policy actions. Consistent with its commitment to price stability, the central bank increases the policy rate in reaction to food inflation. Despite an immediate monetary policy reaction to a food price shock, the policy rate gradually tapers off. This is due to a second-round effect on non-food inflation propagated by the food price shock. A main finding is that monetary policy that targets headline inflation is welfare improving.     

New technologies and productivity growth in the euro area

This paper provides an overview of the available evidence on the importance of information and communication technologies (ICT) for developments in average labour productivity (ALP) growth in the euro area. The contribution of ICT to ALP growth is found to have increased both in terms of production and investment over the 1990s (up to 2001). However, there is no evidence of significant positive spillover effects from the use of ICT on ALP growth. This implies that there is no reason to believe that potential output growth in the euro area has increased significantly in recent years on account of new technologies. Comparing developments in the euro area and the United States, it appears, however, that ICT capital cannot account for much of the difference in ALP developments over the 1990s. This suggests that cyclical developments and, in particular, the structure of the economy are more important for explaining the difference in performance.First version received: March 2002/Final version received: May 2003We thank Bart van Ark, Neale Kennedy, Gerard Korteweg, Ad van Riet, Marcel Timmer, two anonymous referees and participants at the 17th Congress of the European Economic Association, Venice August 2002 for their comments. All errors and omissions remain ours, of course. We thank Erikos Velissaratos for his help in acquiring data on investment in ICT and Colin Webb for providing us with the OECD STAN database. This paper represents the views of the authors and does not necessarily reflect the views of the European Central Bank, the European Commission or their staff.