Understanding the Great Recession
Mathias Trabandt, Lawrence J. Christiano, Martin S. Eichenbaum
American Economic Journal: Macroeconomics,
No. 1,
2015
Abstract
We argue that the vast bulk of movements in aggregate real economic activity during the Great Recession were due to financial frictions. We reach this conclusion by looking through the lens of an estimated New Keynesian model in which firms face moderate degrees of price rigidities, no nominal rigidities in wages, and a binding zero lower bound constraint on the nominal interest rate. Our model does a good job of accounting for the joint behavior of labor and goods markets, as well as inflation, during the Great Recession. According to the model the observed fall in total factor productivity and the rise in the cost of working capital played critical roles in accounting for the small drop in inflation that occurred during the Great Recession.
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The Quantity Theory Revisited: A New Structural Approach
Makram El-Shagi, Sebastian Giesen
Macroeconomic Dynamics,
No. 1,
2015
Abstract
We propose a unified identification scheme to identify monetary shocks and track their propagation through the economy. We combine three approaches dealing with the consequences of monetary shocks. First, we adjust a state space version of the P-star type model employing money overhang as the driving force of inflation. Second, we identify the contemporaneous impact of monetary policy shocks by applying a sign restriction identification scheme to the reduced form given by the state space signal equations. Third, to ensure that our results are not distorted by the measurement error exhibited by the official monetary data, we employ the Divisia M4 monetary aggregate provided by the Center for Financial Stability. Our approach overcomes one of the major difficulties of previous models by using a data-driven identification of equilibrium velocity. Thus, we are able to show that a P-star model can fit U.S. data and money did indeed matter in the United States.
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Forecast Dispersion, Dissenting Votes, and Monetary Policy Preferences of FOMC Members: The Role of Individual Career Characteristics and Political Aspects
Stefan Eichler, Tom Lähner
Public Choice,
No. 3,
2014
Abstract
Using data from 1992 to 2001, we study the impact of members’ economic forecasts on the probability of casting dissenting votes in the Federal Open Market Committee (FOMC). Employing standard ordered probit techniques, we find that higher individual inflation and real GDP growth forecasts (relative to the committee’s median) significantly increase the probability of dissenting in favor of tighter monetary policy, whereas higher individual unemployment rate forecasts significantly decrease it. Using interaction models, we find that FOMC members with longer careers in government, industry, academia, non-governmental organizations (NGOs), or on the staff of the Board of Governors are more focused on output stabilization, while FOMC members with longer careers in the financial sector or on the staffs of regional Federal Reserve Banks are more focused on inflation stabilization. We also find evidence that politics matters, with Republican appointees being much more focused on inflation stabilization than Democratic appointees. Moreover, during the entire Clinton administration ‘natural’ monetary policy preferences of Bank presidents and Board members for inflation and output stabilization were more pronounced than under periods covering the administrations of both George H.W. Bush and George W. Bush, respectively.
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Outperforming IMF Forecasts by the Use of Leading Indicators
Katja Drechsel, Sebastian Giesen, Axel Lindner
IWH Discussion Papers,
No. 4,
2014
Abstract
This study analyzes the performance of the IMF World Economic Outlook forecasts for world output and the aggregates of both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current and the next year, we examine whether IMF forecasts can be improved by using leading indicators with monthly updates. Using a real-time dataset for GDP and for the indicators we find that some simple single-indicator forecasts on the basis of data that are available at higher frequency can significantly outperform the IMF forecasts if the publication of the Outlook is only a few months old.
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Estimating Monetary Policy Rules when the Zero Lower Bound on Nominal Interest Rates is Approached
Konstantin Kiesel, M. H. Wolters
Kiel Working Papers, No. 1898,
2014
Abstract
Monetary policy rule parameters estimated with conventional estimation techniques can be severely biased if the estimation sample includes periods of low interest rates. Nominal interest rates cannot be negative, so that censored regression methods like Tobit estimation have to be used to achieve unbiased estimates. We use IV-Tobit regression to estimate monetary policy responses for Japan, the US and the Euro area. The estimation results show that the bias of conventional estimation methods is sizeable for the inflation response parameter, while it is very small for the output gap response and the interest rate smoothing parameter. We demonstrate how IV-Tobit estimation can be used to study how policy responses change when the zero lower bound is approached. Further, we show how one can use the IV-Tobit approach to distinguish between desired policy responses, that the central bank would implement if there was no zero lower bound, and the actual ones and provide estimates of both.
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Reconciling Narrative Monetary Policy Disturbances with Structural VAR Model Shocks?
Martin Kliem, Alexander Kriwoluzky
Economics Letters,
No. 2,
2013
Abstract
Structural VAR studies disagree with narrative accounts about the history of monetary policy disturbances. We investigate whether employing the narrative monetary shocks as a proxy variable in a VAR model aligns both shock series. We find that it does not.
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Money and Inflation: Consequences of the Recent Monetary Policy
Makram El-Shagi, Sebastian Giesen
Journal of Policy Modeling,
No. 4,
2013
Abstract
We use a multivariate state space framework to analyze the short run impact of money on prices in the United States. The key contribution of this approach is that it allows to identify the impact of money growth on inflation without having to model money demand explicitly.
Using our results, that provide evidence for a substantial impact of money on prices in the US, we analyze the consequences of the Fed's response to the financial crisis. Our results indicate a raise of US inflation above 5% for more than a decade. Alternative exit strategies that we simulate cannot fully compensate for the monetary pressure without risking serious repercussions on the real economy. Further simulations of a double dip in the United States indicate that a repetition of the unusually expansive monetary policy – in addition to increased inflation – might cause growth losses exceeding the contemporary easing of the crisis.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Drechsel, Rolf Scheufele
Abstract
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay. In a simulated out-of-sample experiment we evaluate the different modelling strategies conditional on the given state of information and depending on the model averaging technique. The proposed approach is computationally simple and can be easily implemented as a nowcasting tool. Finally, this method also allows retracing the driving forces of the forecast and hence enables the interpretability of the forecast outcome.
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Islamic Finance in Europe
Pierluigi Caristi, Stéphane Couderc, Angela di Maria, Filippo di Mauro, Beljeet Kaur Grewal, Lauren Ho, Sergio Masciantonio, Steven Ongena, Sajjad Zaher
ECB Occasional Paper,
No. 146,
2013
Abstract
Islamic finance is based on ethical principles in line with Islamic religious law. Despite its low share of the global financial market, Islamic finance has been one of this sector's fastest growing components over the last decades and has gained further momentum in the wake of the financial crisis. The paper examines the development of and possible prospects for Islamic finance, with a special focus on Europe. It compares Islamic and conventional finance, particularly as concerns risks associated with the operations of respective institutions, as well as corporate governance. The paper also analyses empirical evidence comparing Islamic and conventional financial institutions with regard to their: (i) efficiency and profitability; and (ii) stability and resilience. Finally, the paper considers the conduct of monetary policy in an Islamic banking context. This is not uncomplicated given the fact that interest rates - normally a cornerstone of monetary policy - are prohibited under Islamic finance. Liquidity management issues are thus discussed here, with particular reference to the euro area.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Drechsel, Rolf Scheufele
Abstract
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay.
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