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.     

Empirical macroeconomic model of the Finnish economy (EMMA)

This paper provides a review of the empirical macroeconomic model (EMMA) built for forecasting purposes at the Finnish Labour Institute for Economic Research. The model is quite small, consisting of 71 endogenous and 70 exogenous variables. The number of behavioural equations is 15. The basis of the model is Keynesian, although the model has some novel properties. They are the treatment of the supply side and prices that follow the routes of the neoclassical synthesis. The parameters of the model are estimated from quarterly data that cover the years 1990–2005. The model also contains a Kalman-filtered variable to control the deep recession in Finland at the beginning of the '90s. This special feature brings the model closer to the new calibrated models.     

Monetary policy rules and directions of causality: A test for the euro area

Abstract

Using a VAR model in first differences with quarterly data for the euro zone, the study aims to ascertain whether decisions on monetary policy can be interpreted in terms of a “monetary policy rule” with specific reference to the so-called nominal GDP targeting rule (Hall and Mankiw, 1994 Granger, C.W.J. “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods.” Econometrica, 1969, 37 (3), 424–438.[Crossref], [Web of Science ®] , [Google Scholar]; McCallum, 1988 McCallum, B. “Nominal GDP Targeting”, Shadow Open Market Committee, October 21, 2011. [Google Scholar]; Woodford, 2012 Taylor, J.B., Williams, J.C. “Simple and Robust Rules for Monetary Policy”, NBER Working Paper No. 15908, April, 2010. [Google Scholar]). The results obtained indicate a causal relation proceeding from deviation between the growth rates of nominal gross domestic product (GDP) and target GDP to variation in the three-month market interest rate. The same analyses do not, however, appear to confirm the existence of a significant inverse causal relation from variation in the market interest rate to deviation between the nominal and target GDP growth rates. Similar results were obtained on replacing the market interest rate with the European Central Bank refinancing interest rate. This confirmation of only one of the two directions of causality does not support an interpretation of monetary policy based on the nominal GDP targeting rule and gives rise to doubt in more general terms as to the applicability of the Taylor rule and all the conventional rules of monetary policy to the case in question. The results appear instead to be more in line with other possible approaches, such as those based on post Keynesian analyses of monetary theory and policy and more specifically the so-called solvency rule (Brancaccio and Fontana, 2013 ———. Macroeconomics, 2nd ed., Pearson Education Company, ch. 30. [Google Scholar], 2015 Brancaccio, E. The Central Banker as “Regulator” of Conflict. In G. Fontana and M. Setterfield (eds.), Macroeconomic Theory and Macroeconomic Pedagogy. Basingstoke: Palgrave Macmillan, 2009, 295–308.[Crossref] , [Google Scholar]). These lines of research challenge the simplistic argument that the scope of monetary policy consists in the stabilization of inflation, real GDP, or nominal income around a “natural equilibrium” level. Rather, they suggest that central banks actually follow a more complex purpose, which is the political regulation of the financial system with particular reference to the relations between creditors and debtors and the related solvency of economic units.     

The use of modeling tools for policy in evolutionary environments

This is a position paper on the possibilities of informing the (economic and environmental) policy debate by using quantitative evolutionary models. I argue that an evolutionary worldview implies that the existing quantitative modeling tools used for policy analysis are problematic. Then I summarize the main elements of an evolutionary way of analysis, and the way in which it can be incorporated into quantitative models. I conclude with an outline of a proposal for how to apply the ideas in the analysis of energy transitions.     

The role of labor markets for euro area monetary policy

In this paper, we explore the role of labor markets for monetary policy in the euro area in a New Keynesian model in which labor markets are characterized by search and matching frictions. We first investigate to which extent a more flexible labor market would alter the business cycle behavior and the transmission of monetary policy. We find that while a lower degree of wage rigidity makes monetary policy more effective, i.e. a monetary policy shock transmits faster onto inflation, the importance of other labor market rigidities for the transmission of shocks is rather limited. Second, having estimated the model by Bayesian techniques we analyze to which extent labor market shocks, such as disturbances in the vacancy posting process, shocks to the separation rate and variations in bargaining power are important determinants of business cycle fluctuations. Our results point primarily towards disturbances in the bargaining process as a significant contributor to inflation and output fluctuations. In sum, the paper supports current central bank practice which appears to put considerable effort into monitoring euro area wage dynamics and which appears to treat some of the other labor market information as less important for monetary policy.     

The Liverpool macroeconomic model of the United Kingdom

The paper describes the Liverpool Model, a rational expectations model of the UK economy used for forecasting since March 1980. The model is of the ‘new classical’ type, in that all markets clear; in the labour market, there is a union sector with one-year nominal wage contracts but the non-union sector clears excess demands. Equilibrium (or ‘natural rate’) values of output, employment, real wages, etc are endogenously determined. In- and out-of-sample errors, a full set of simulations, and a complete listing are included. The interim experience of the model as a test bed for rational expectations methods is ‘far from discouraging’.     

The use of macroeconomic models in economic policy making: The Norwegian experience

Planning in Norway has a long tradition. The use of models is an integral part of short- and medium-term economic policy administration. A large-scale input-output model, MODIS IV, is used as the short- and medium-term forecasting and planning model. The use of the model secures consistency when analysing the economy. The model is very open in the sense that important interrelations in the economy are left out. The model contains only ‘good’ relations in the Leif Johansen sense of the word. Smaller aggregate and more closed versions of the model are used for analysing policy alternatives. These models contain both ‘good’ and ‘bad’ relations. The use of macroeconomic models is an important aid for proposals regarding economic policy in the Ministry of Finance. Because the whole ministry (with expert help from other ministries) takes an active part in the model work, MODIS IV serves as the centralizing mechanism. It helps to make economists from many ministries go around the same centre, speak the same ‘language’ and organize all relevant information and judgements in a consistent way. Experience shows that ‘numbers discipline’ and force the different arguments on to a higher level of precision.     

Assessing the predictive power of financial spreads in the euro area: does parameters instability matter?

In the empirical literature there is wide consensus that financial spreads cannot constitute a broadly based assessment on future output growth and inflation because the bivariate estimated regressions are not stable over time and lead to relatively poor out-of-sample forecasting performance (e.g. J Econ Liter 41:788–829, 2003). This conclusion arised for the USA, as well as for several European countries. In this paper we check whether the marginal predictive content of some financial spreads (the slope of the yield curve, the reverse yield gap and the credit spread) for macroeconomic forecasting in the euro area can be recovered using techniques taking into account potential parameters instability. We set up a quarterly Bayesian vector autoregression model with time-varying coefficients, comprising both target variables, as well as other monetary policy indicators, to serve as a benchmark. Then, the properties of the spreads as leading indicators are assessed by augmenting this benchmark BVAR with the spreads, one at a time. We find time variation of the coefficients to be a relevant issue in our model, especially for forecasting output growth, but financial spreads continue to have no or negligible marginal predictive content for both output growth and inflation. Overall, our results confirm that there is no ready-to-use financial spread that can replace an encompassing multivariate model for the prediction of target variables in the euro area.      

Post-crisis business investment in the euro area and the role of monetary policy

ABSTRACT

Business investment in the euro area strongly declined during the Global Financial Crisis and the Sovereign Debt Crisis. It has not yet rebounded to its pre-crisis trend despite the very expansionary monetary policy measures of the ECB. We analyse the sluggish recovery in business investment in the euro area and the role of monetary policy in three steps. We investigate the main factors that have impeded business investment since the Global Financial Crisis. We empirically analyse how business investment has developed compared to typical patterns during other financial crises. Based on these results, we then discuss how effective monetary policy has been in stimulating business investment since the Global Financial Crisis. We conclude that business investment in the euro area has developed broadly in line with typical post-crisis patterns. Monetary policy significantly contributed to stabilize business investment at the beginning of the crises. In the aftermath of the crises, however, there seems to be little scope for monetary policy to further stimulate investment.     

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 system approach for measuring the euro area NAIRU

This paper addresses the issue of measuring the NAIRU for the euro area and assessing the robustness and precision of the obtained estimates. The empirical framework adopted is based on systems combining an Okun-type relationship between cyclical unemployment and the output gap with a Phillips curve and stochastic laws of motion for the NAIRU and potential output. Such systems have been estimated using Kalman-filter techniques. The results obtained point to an estimate of the area-wide NAIRU that is robust to changes in the underlying models. This robustness is shown to hold both in terms of the mean – i.e., the shape of the resulting NAIRU – and the variance of the process. The latter is derived through bootstrap exercises using the models alone or pooled together. The evidence found suggests that the increase in the aggregate NAIRU that took place in the early part of the sample period has come to a halt and may be about to be reversed.Jel classification: C11, C15, E31, E32The opinions expressed in this paper are those of the authors and do not necessarily reflect the views of the Institutions they belong to. The authors are grateful to Per Jansson for providing parts of the econometric RATS code and to Gonzalo Camba-Mendez and Frank Smets of the ECB for useful comments. Comments and recommendations by two anonimous referees are also gratefully acnowledged. All the remaining errors are the authors responsibility. All correspondence to Ricardo Mestre.First version received: January 2002/Final version received December 2002     

Measures of underlying inflation in the euro area: assessment and role for informing monetary policy

The paper evaluates the 24-month-ahead inflation forecasting performance of various indicators of underlying inflation and structural models. Measures derived using the generalized dynamic factor model (GDFM) overperform other measures over the monetary policy horizon and are leading indicators of headline inflation. Trimmed means, although weaker than GDFM indicators, have good forecasting performance, while indicators by permanent exclusion underperform but provide useful information about short-term dynamics. The forecasting performance of theoretically-founded models that relate monetary aggregates, the output gap, and inflation improves with the time horizon but generally falls short of that of the GDFM. A composite measure of underlying inflation, derived by averaging the statistical indicators and the model-based estimates, improves forecast accuracy by eliminating bias and offers valuable insight about the distribution of risks.     

Using pre-EMU money market rates to assess monetary policy in the euro area

This note addresses the problems arising when using national pre-EMU interest rate data in the estimation of monetary policy reaction functions for the euro area. We provide evidence that failing to adjust for interest rate risk premia leads to an overestimation of the response of monetary policy both to inflationary pressures and to the output gap. A method for adjusting pre-EMU interest rate data for risk premia is proposed.     

Money velocity and asset prices in the euro area

Monetary growth in the euro area has exceeded its target since several years. At the same time, the money demand function seems to be increasingly unstable if more recent data are used. If the link between money balances and the macroeconomy is fragile, the rationale of monetary aggregates in the ECB strategy has to be doubted. In fact, a rise in the income elasticity after 2001 can be observed, and may reflect the exclusion of real and financial wealth in conventional specifications of money demand. This presumption is explored by means of a cointegration analysis. To separate income from wealth effects, the specification in terms of money velocity is preferred. Evidence for the presence of wealth in the long run relationship is provided. In particular, both stock and house prices have exerted a negative impact on velocity after 2001 and lead to almost identical equilibrium errors. The extended error correction model is stable over the entire sample period and survive a battery of specification tests.

The macroeconomic effects of fiscal policy in Portugal: a Bayesian SVAR analysis

With a new quarterly dataset we estimate a Bayesian Structural Autoregression model and a Fully Simultaneous System approach to analyze the macroeconomic effects of fiscal policy. Results show that positive government spending shocks, in general, have a negative effect on real GDP; lead to “crowding-out” effects of private consumption and investment; have a persistent and positive effect on the price level and a mixed impact on the average financing cost of government debt. Explicitly considering the government debt dynamics in the model is also important. A VAR counter-factual exercise confirms that unexpected positive spending shocks create relevant “crowding-out” effects.     

The enlargement of the euro area: differences in relative inflation

This paper investigates the structural determinants of relative inflation (i.e. the inflation of non‐tradables vs tradables) in the context of overall inflation differentials in the EU. The analysis is based on the Bergstrand theoretical model. This framework incorporates three alternative hypotheses of relative inflation (Harrod–Balassa–Samuelson, relative factors endowment, and demand effects). Due to the lack of reliable data on capital stocks only a curtailed version of the model is tested here empirically. The various specifications of the model are estimated for the majority of EU countries, using the Pedroni panel group mean FMOLS estimator. In general, relative labour productivity and demand factors turn out to be significant and correctly signed, though evidence in favour of the latter effect seems to be less robust. In addition, differences in the determination of relative prices between the new and old EU Member States are found. They seem to be consistent with theoretical considerations and the transition phenomenon. The estimation results are very sensitive to the definition of non‐tradables. The paper also discusses policy implications for overall inflation, stemming from relative price models. It questions the usefulness of relative inflation models for the analysis of overall inflation differentials and practical policy decisions.     

Measuring uncertainty of the euro area NAIRU: Monte Carlo and empirical evidence for alternative confidence intervals in a state space framework

This paper investigates uncertainty around point estimates of the euro area NAIRU in a state space framework. The relative accuracy of alternative measures of uncertainty for state space models are compared using Monte Carlo simulations. A direct bootstrap method yields confidence intervals with lower coverage probability than confidence intervals based on mean squared errors (MSE) approximations. The degree of uncertainty of the euro area NAIRU is estimated with a trivariate state space model. The direct bootstrap method shows the narrowest confidence interval compared with the MSE approximations. However, the wider intervals based on MSE approximations are narrow enough for the identification of some periods in time where observed unemployment and the NAIRU differ significantly.     

The (in)stability of money demand in the euro area: lessons from a cross-country analysis

The instability of standard money demand functions has undermined the role of monetary aggregates for monetary policy analysis in the euro area. This paper uses country-specific monetary aggregates to shed more light on the economics behind the instability of euro area money demand. Our results obtained from panel estimation indicate that the observed instability of standard money demand functions could be explained by omitted variables like e.g. technological progress that are important for money demand but constant across member countries.     

The reliability of real-time estimates of the euro area output gap

This paper provides evidence on the reliability of euro area real-time output gap estimates. A genuine real-time data set for the euro area is used, including vintages of several sets of euro area output gap estimates available from 1999 to 2010. It turns out that real-time estimates of the output gap tend to be characterised by a high degree of uncertainty, much higher than that resulting from model and estimation uncertainty only. In particular, the evidence indicates that both the magnitude and the sign of the real-time estimates of the euro area output gap are very uncertain. The uncertainty is mostly due to parameter instability and model uncertainty, while data revisions seem to play a minor role. Some euro area real-time measures, based on multivariate components models and capacity utilisation, are relatively less uncertain, but do not appear to be fully reliable along some dimensions. To benchmark our results, we repeat the analysis for the US over the same sample. It turns out that US real-time estimates tend to be revised to a lesser extent than euro area estimates. However, euro area real-time output gap estimates tend to display a higher correlation with the final estimates and the sign of the level of US real-time estimates tends to be revised more often compared to the corresponding euro area estimates. In addition, the data revision component of the revision error is larger for US estimates than for the euro area. Overall, the unreliability in real-time of the US output gap measures detected in earlier studies is confirmed in the more recent period.     

The federal reserve board MPS quarterly econometric model of the US economy

This paper describes the structure and properties of the Federal Reserve Board's (MPS) econometric model of the US economy. The theoretical underpinnings are developed using a small growth model that is a simplified version of the steady-state structure of the full model. Short-run dynamic properties, which are Keynesian, are discussed and quantified with simulation results. The largest part of the paper consists of a discussion of the theoretical basis and empirical properties of the key behavioural equations. A complete list of equations is included.