Mittelfristprojektion des IWH: Wirtschaftsentwicklung und Staatsfinanzen – Eine Vorausschau der Jahre 2011 bis 2015
Kristina vanDeuverden, Rolf Scheufele
Wirtschaft im Wandel,
Nr. 1,
2011
Abstract
Die deutsche Wirtschaft hat sich im Jahr 2010 kräftig erholt. In der ersten Jahreshälfte zogen der Welthandel und in dessen Gefolge die deutschen Exporte kräftig an. Im Verlauf des Jahres wurde das Wachstum der Wirtschaft
in Deutschland aber zunehmend von der Binnennachfrage gestützt. Nicht nur die Investitionen erholten sich, auch vom privaten Konsum kamen Impulse. So liegt die Zahl der Beschäftigten zurzeit auf einem historischen Höchststand, und die Zahl der Arbeitslosen hat sich im Lauf des Jahres immer weiter zurückgebildet.
Auch mittelfristig wird das wirtschaftliche Wachstum in Deutschland verhältnismäßig hoch sein. Der deutsche Außenhandel erhält weiterhin Impulse vom Welthandel. Wesentlich wird die weitere Entwicklung allerdings von der Binnenwirtschaft bestimmt. So werden die Investitionen in der mittleren Frist deutlich expandieren. Dazu trägt bei, dass das Zinsniveau bis zum Ende des Projektionszeitraums relativ niedrig sein wird. Auch der private Konsum wird zum Wirtschaftswachstum beitragen. Die günstige Lage auf dem Arbeitsmarkt und der
hohe Beschäftigungsstand lassen die Lohnsumme kräftig zunehmen und erhöhen zudem den Grad an Beschäftigungssicherheit. Dies führt dazu, dass die privaten Haushalte ihre Konsumausgaben merklich erhöhen. Alles in allem wird das reale Bruttoinlandsprodukt im Jahr 2011 mit 2,3% und im Jahr 2012 mit 1,7% zulegen. In den Restjahren des Projektionszeitraums wird es mit 1½% steigen.
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Should We Trust in Leading Indicators? Evidence from the Recent Recession
Katja Drechsel, Rolf Scheufele
Abstract
The paper analyzes leading indicators for GDP and industrial production in Germany. We focus on the performance of single and pooled leading indicators during the pre-crisis and crisis period using various weighting schemes. Pairwise and joint significant tests are used to evaluate single indicator as well as forecast combination methods. In addition, we use an end-of-sample instability test to investigate the stability of forecasting models during the recent financial crisis. We find in general that only a small number of single indicator models were performing well before the crisis. Pooling can substantially increase the reliability of leading indicator forecasts. During the crisis the relative performance of many leading indicator models increased. At short horizons, survey indicators perform best, while at longer horizons financial indicators, such as term spreads and risk spreads, improve relative to the benchmark.
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A First Look on the New Halle Economic Projection Model
Sebastian Giesen, Oliver Holtemöller, Juliane Scharff, Rolf Scheufele
Abstract
In this paper we develop a small 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 recently published by the International
Monetary Fund (global projection model). Our main contribution is that we model the Euro area countries separately. In this version we consider Germany and France, which represent together about 50 percent of Euro area GDP. The model allows for country specific heterogeneity in the sense that we capture different adjustment patterns to economic shocks. The model is estimated using Bayesian techniques. Out-of-sample and pseudo out-of-sample forecasts are presented.
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Inflation Expectations: Does the Market Beat Professional Forecasts?
Makram El-Shagi
IWH Discussion Papers,
Nr. 16,
2009
Abstract
The present paper compares expected inflation to (econometric) inflation forecasts
based on a number of forecasting techniques from the literature using a panel of
ten industrialized countries during the period of 1988 to 2007. To capture expected
inflation we develop a recursive filtering algorithm which extracts unexpected inflation from real interest rate data, even in the presence of diverse risks and a potential Mundell-Tobin-effect.
The extracted unexpected inflation is compared to the forecasting errors of ten
econometric forecasts. Beside the standard AR(p) and ARMA(1,1) models, which
are known to perform best on average, we also employ several Phillips curve based approaches, VAR, dynamic factor models and two simple model avering approaches.
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Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?
Tobias Knedlik, Rolf Scheufele
IWH Discussion Papers,
Nr. 17,
2007
Abstract
In this paper we test the ability of three of the most popular methods to forecast the South African currency crisis of June 2006. In particular we are interested in the out-ofsample performance of these methods. Thus, we choose the latest crisis to conduct an out-of-sample experiment. In sum, the signals approach was not able to forecast the outof- sample crisis of correctly; the probit approach was able to predict the crisis but just with models, that were based on raw data. Employing a Markov-regime-switching approach also allows to predict the out-of-sample crisis. The answer to the question of which method made the run in forecasting the June 2006 currency crisis is: the Markovswitching approach, since it called most of the pre-crisis periods correctly. However, the “victory” is not straightforward. In-sample, the probit models perform remarkably well and it is also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. It can, therefore, not be recommended to focus on one approach only when evaluating the risk for currency crises.
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