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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Mittelfristige Projektion der wirtschaftlichen Entwicklung
Oliver Holtemöller, Katja Drechsel, Brigitte Loose
Wirtschaft im Wandel,
Nr. 8,
2012
Abstract
Die konjunkturelle Schwächephase im Winterhalbjahr 2012/2013 wirkt sich auch auf das mittelfristige Wirtschaftswachstum in Deutschland aus. Unter Berücksichtigung der Herbstprognose 2012 von IWH und Kiel Economics ist nunmehr mit einer durchschnittlichen Wachstumsrate des Bruttoinlandsproduktes von 1¼% pro Jahr zwischen 2011 und 2017 zu rechnen. Dabei wird unterstellt, dass die Auslastung der deutschen Wirtschaft nach der vorübergehenden konjunkturellen Schwächephase überdurchschnittlich sein wird, weil die einheitliche europäische Geldpolitik in Deutschland noch längere Zeit expansiv wirken dürfte.
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Does Central Bank Staff Beat Private Forecasters?
Makram El-Shagi, Sebastian Giesen, A. Jung
IWH Discussion Papers,
Nr. 5,
2012
Abstract
In the tradition of Romer and Romer (2000), this paper compares staff forecasts of the Federal Reserve (Fed) and the European Central Bank (ECB) for inflation and output with corresponding private forecasts. Standard tests show that the Fed and less so the ECB have a considerable information advantage about inflation and output. Using novel tests for conditional predictive ability and forecast stability for the US, we identify the driving forces of the narrowing of the information advantage of Greenbook forecasts coinciding with the Great Moderation.
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Wachstumsprojektion 2025 für die deutschen Länder: Produktion je Einwohner divergiert
Oliver Holtemöller, Maike Irrek
Wirtschaft im Wandel,
Nr. 4,
2012
Abstract
Viele ökonomische Entscheidungen basieren implizit oder explizit auf Projektionen der wirtschaftlichen Aktivität in einem Land oder einer Region. In diesem Artikel wird ein langfristiges Projektionsmodell für Deutschland insgesamt und die deutschen Länder vorgestellt, das am IWH entwickelt worden ist. Das Modell beruht auf einer gesamtwirtschaftlichen Produktionsfunktion; die Produktionsfaktoren Arbeit und Kapital sowie die Produktivität werden mit Zeitreihenmodellen fortgeschrieben. Die wirtschaftliche Entwicklung in Deutschland insgesamt wird in die Teilmodelle für die Länder integriert, und die Annäherung der einzelnen Länder an den Bundestrend wird mit ökonometrischen Verfahren geschätzt. Mit Hilfe des Modells wird eine Projektion der wirtschaftlichen Aktivität in Deutschland insgesamt und in den Ländern bis zum Jahr 2025 vorgenommen. Ein wichtiges Resultat ist, dass die ungünstigere demographische Entwicklung in den ostdeutschen Ländern wohl nicht durch weitere Konvergenz der Produktivität und der Kapitalintensität kompensiert werden kann, sodass die Produktion je Einwohner in den ostdeutschen Ländern schwächer zunehmen dürfte als in den westdeutschen Ländern. Zwar verläuft die Entwicklung auch in den westdeutschen
Ländern heterogen, es dürfte aber im Gegensatz zu den ostdeutschen Flächenländern in keinem westdeutschen Land mit heute unterdurchschnittlicher Produktion je Einwohner zu einer spürbaren Vergrößerung des Abstandes zum Bundesdurchschnitt kommen.
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The Performance of Short-term Forecasts of the German Economy before and during the 2008/2009 Recession
Katja Drechsel, Rolf Scheufele
International Journal of Forecasting,
Nr. 2,
2012
Abstract
The paper analyzes the forecasting performance of leading indicators for industrial production in Germany. We focus on single and pooled leading indicator models both before and during the financial crisis. Pairwise and joint significant tests are used to evaluate single indicator models as well as forecast combination methods. In addition, we investigate the stability of forecasting models during the most recent financial crisis.
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The Halle Economic Projection Model
Sebastian Giesen, Oliver Holtemöller, Juliane Scharff, Rolf Scheufele
Economic Modelling,
Nr. 4,
2012
Abstract
In this paper we develop an open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model -- the Halle Economic Projection Model (HEPM) -- is closely related to studies published by Carabenciov et al. Our main contribution is that we model the Euro area countries separately. In doing so, we consider Germany, France, and Italy which represent together about 70 percent of Euro area GDP. The model combines core equations of the New-Keynesian standard DSGE model with empirically useful ad-hoc equations. We estimate this model using Bayesian techniques and evaluate the forecasting properties. Additionally, we provide an impulse response analysis and a historical shock decomposition.
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The Financial Crisis from a Forecaster's Perspective
Katja Drechsel, Rolf Scheufele
Kredit und Kapital,
Nr. 1,
2012
Abstract
This paper analyses the recession in 2008/2009 in Germany. This recession is very different from previous recessions in particular regarding their causes and magnitude. We show to what extent forecasters and forecasts based on leading indicators fail to detect the timing and the magnitude of the recession. This study shows that large forecast errors for both expert forecasts and forecasts based on leading indicators resulted during this recession which implies that the recession was very difficult to forecast. However, some leading indicators (survey data, risk spreads, stock prices) have indicated an economic downturn and hence, beat univariate time series models. Although the combination of individual forecasts provides an improvement compared to the benchmark model, the combined forecasts are worse than several individual models. A comparison of expert forecasts withthe best forecasts based on leading indicators shows only minor deviations. Overall, the range for an improvement of expert forecasts in the crisis compared to indicator forecasts is small.
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Stock Market Firm-Level Information and Real Economic Activity
Filippo di Mauro, Fabio Fornari, Dario Mannucci
ECB Working Paper,
Nr. 1366,
2011
Abstract
We provide evidence that changes in the equity price and volatility of individual firms (measures that approximate the definition of 'granular shock' given in Gabaix, 2010) are key to improve the predictability of aggregate business cycle fluctuations in a number of countries. Specifically, adding the return and the volatility of firm-level equity prices to aggregate financial information leads to a significant improvement in forecasting business cycle developments in four economic areas, at various horizons. Importantly, not only domestic firms but also foreign firms improve business cycle predictability for a given economic area. This is not immediately visible when one takes an unconditional standpoint (i.e. an average across the sample). However, conditioning on the business cycle position of the domestic economy, the relative importance of the two sets of firms - foreign and domestic - exhibits noticeable swings across time. Analogously, the sectoral classification of the firms that in a given month retain the highest predictive power for future IP changes also varies significantly over time as a function of the business cycle position of the domestic economy. Limited to the United States, predictive ability is found to be related to selected balance sheet items, suggesting that structural features differentiate the firms that can anticipate aggregate fluctuations from those that do not help to this aim. Beyond the purely forecasting application, this finding may enhance our understanding of the underlying origins of aggregate fluctuations. We also propose to use the cross sectional stock market information to macro-prudential aims through an economic Value at Risk.
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Competition, Risk-shifting, and Public Bail-out Policies
Reint E. Gropp, H. Hakenes, Isabel Schnabel
Review of Financial Studies,
Nr. 6,
2011
Abstract
This article empirically investigates the competitive effects of government bail-out policies. We construct a measure of bail-out perceptions by using rating information. From there, we construct the market shares of insured competitor banks for any given bank, and analyze the impact of this variable on banks' risk-taking behavior, using a large sample of banks from OECD countries. Our results suggest that government guarantees strongly increase the risk-taking of competitor banks. In contrast, there is no evidence that public guarantees increase the protected banks' risk-taking, except for banks that have outright public ownership. These results have important implications for the effects of the recent wave of bank bail-outs on banks' risk-taking behavior.
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The Financial Crisis from a Forecaster’s Perspective
Katja Drechsel, Rolf Scheufele
Abstract
This paper analyses the recession in 2008/2009 in Germany, which is very different from previous recessions, in particular regarding its cause and magnitude. We show to what extent forecasters and forecasts based on leading indicators fail to detect the timing and the magnitude of the recession. This study shows that large forecast errors for both expert forecasts and forecasts based on leading indicators resulted during this recession which implies that the recession was very difficult to forecast. However, some leading indicators (survey data, risk spreads, stock prices) have indicated an economic downturn and hence, beat univariate time series models. Although the combination of individual forecasts provides an improvement compared to the benchmark model, the combined forecasts are worse than several individual models. A comparison of expert forecasts with the best forecasts based on leading indicators shows only minor deviations. Overall, the range for an improvement of expert forecasts during the crisis compared to indicator forecasts is relatively small.
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