10.06.2013 • 17/2013
Gemeinschaftsdiagnose: IWH-Konjunkturforscher weiterhin im Gutachterkreis
Das Institut für Wirtschaftsforschung Halle wird auch in den kommenden drei Jahren an dem gemeinsamen halbjährlichen Gutachten der Wirtschaftsforschungsinstitute zur Lage der Wirtschaft in Deutschland mitarbeiten. Dies teilte das Bundeswirtschaftsministerium am vergangenen Freitag mit. Das IWH setzt die erfolgreiche Zusammenarbeit mit seinem Projektpartner Kiel Economics Research & Forecasting fort.
Oliver Holtemöller
IWH-Flash-Indikator: II. Quartal und III. Quartal 2013
Katja Drechsel
IWH Flash Indicator,
No. 2,
2013
Abstract
Nach einem schwachen konjunkturellen Start im ersten Quartal 2013 zeigt der IWH-Flash-Indikator für das zweite und dritte Quartal eine Zunahme des Bruttoinlandsproduktes um jeweils 0,3% an. Die im ersten Quartal 2013 witterungsbedingt aufgeschobene Produktion könnte auch zu etwas höheren Expansionsraten führen, insbesondere im zweiten Quartal.
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Datenrevision der amtlichen Statistik – ärgerlich, aber wohl unausweichlich
Udo Ludwig
Wirtschaft im Wandel,
No. 2,
2013
Abstract
Mit der aktuellen Veröffentlichung zum Wachstum des Bruttoinlandsproduktes in den deutschen Bundesländern im Jahr 2012 hat der Arbeitskreis „Volkswirtschaftliche Gesamtrechnungen der Länder“ zum Teil erhebliche Korrekturen der Berechnungen für die Jahre 2010 und 2011 gemeldet. Das Niveau der Produktion in den einzelnen ostdeutschen Flächenländern wurde für die beiden Jahre (mit Ausnahme von Sachsen-Anhalt für 2011) jeweils um rund 1% bis 3% angehoben. In der Folge wird ein stärkeres Wachstum unmittelbar nach dem Krisenjahr 2009, aber ein Abbremsen im darauffolgenden Jahr ausgewiesen. Besonders hart traf dies das Wachstumsprofil der Wirtschaft in Sachsen-Anhalt, in dem im Lichte der neuen Daten auf ein starkes Wachstumsjahr 2010 eine Stagnation im Jahr 2011 folgt. Die vorläufigen Daten hatten für 2011 ein Wachstum von 2,4% ausgewiesen.
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German Economy Recovering – Long-Term Approach Needed to Economic Policy: Joint Economic Forecast Spring 2013
Dienstleistungsauftrag des Bundesministeriums für Wirtschaft und Technologie,
2013
Abstract
An upwards tendency re-emerged in the German economy in spring 2013. The situation in the financial markets has eased thanks to subsiding uncertainty regarding the future of the European Monetary Union. The headwind in the world economy has also tailed off somewhat. The institutes expect gross domestic product in Germany to increase by 0.8% this year (68%-projection interval: 0.1% to 1.5%) and by 1.9% next year. The number of unemployed should continue to fall to an annual average of 2.9 million this year and 2.7 million in 2014. The inflation rate is expected to drop to 1.7% this year and edge up to 2.0% next year on the back of rising capacity utilisation. The public budget will be almost balanced in 2013 and should show a surplus of 0.5% in relation to gross domestic product in 2014 thanks to more favourable economic conditions. It is now time to readopt a longer-term approach to economic policy. Although structural adjustment processes implemented in the crisis-afflicted countries have started to deal with institutional problems in the euro area, they are far from resolved. The German public budget also faces massive long-term burdens related to demographic factors.
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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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Financial Factors in Macroeconometric Models
Sebastian Giesen
Volkswirtschaft, Ökonomie,
2013
Abstract
The important role of credit has long been identified as a key factor for economic development (see e.g. Wicksell (1898), Keynes (1931), Fisher (1933) and Minsky (1957, 1964)). Even before the financial crisis most researchers and policy makers agreed that financial frictions play an important role for business cycles and that financial turmoils can result in severe economic downturns (see e.g. Mishkin (1978), Bernanke (1981, 1983), Diamond (1984), Calomiris (1993) and Bernanke and Gertler (1995)). However, in practice researchers and policy makers mostly used simplified models for forecasting and simulation purposes. They often neglected the impact of financial frictions and emphasized other non financial market frictions when analyzing business cycle fluctuations (prominent exceptions include Kiyotaki and Moore (1997), Bernanke, Gertler, and Gilchrist (1999) and Christiano, Motto, and Rostagno (2010)). This has been due to the fact that most economic downturns did not seem to be closely related to financial market failures (see Eichenbaum (2011)). The outbreak of the subprime crises ― which caused panic in financial markets and led to the default of Lehman Brothers in September 2008 ― then led to a reconsideration of such macroeconomic frameworks (see Caballero (2010) and Trichet (2011)). To address the economic debate from a new perspective, it is therefore necessary to integrate the relevant frictions which help to explain what we have experienced during recent years.
In this thesis, I analyze different ways to incorporate relevant frictions and financial variables in macroeconometric models. I discuss the potential consequences for standard statistical inference and macroeconomic policy. I cover three different aspects in this work. Each aspect presents an idea in a self-contained unit. The following paragraphs present more detail on the main topics covered.
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Rückkehr des Vertrauens beflügelt Konjunktur in Deutschland
Konjunktur aktuell,
No. 2,
2013
Abstract
Die konjunkturellen Perspektiven für Deutschland hellen sich nach dem Produktionseinbruch im Schlussquartal des Jahres 2012 wieder auf. Maßgeblich hierfür ist die Entspannung der Schulden- und Vertrauenskrise im Euroraum.
Hinzu kommt eine etwas höhere weltwirtschaftliche Dynamik. Das preisbereinigte Bruttoinlandsprodukt dürfte demnach im Jahr 2013 um 1,3% zulegen, die Arbeitslosenquote geringfügig auf 6,4% sinken und die Verbraucherpreisinflation bei 1,7% liegen.
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The GVAR Handbook: Structure and Applications of a Macro Model of the Global Economy for Policy Analysis
Filippo di Mauro, M. Hashem Pesaran
Oxford University Press,
2013
Abstract
The recent crisis has shown yet again how the world economies are globally interlinked, via a complex net of transmission channels. When it comes, however, to build econometric frameworks aimed at analysing such linkages, modellers are faced with what is called the "curse of dimensionality": there far too many parameters to be estimated with respect to the available observations. The GVAR, a VAR based model of the global economy, offers a solution to this problem. The basic model is composed of a large number of country specific models, comprising domestic, foreign and purely global variables. The foreign variables, however, are treated as weakly exogenous. This assumption, which is typically held when empirically tested for virtually all economies - with the notable exception of the US which is treated differently - allows to estimate first the individual country models separately. Only in a second stage country-specific models are simultaneously solved, thus allowing global interactions.This volume presents - for a first time in a compact and rather easy to read format - principles and structure of the basic GVAR model and a number of its many applications and extensions developed in the last few years by a growing literature. Its main objective is to show how powerful the model can be as a tool for forecasting and scenario analysis. The clear modelling structure of the GVAR appeals to policy makers and practitioners as shown by its growing use among major institutions, as well as by econometricians, as shown by the main extensions and applications.
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IWH-Flash-Indikator: I. Quartal und II. Quartal 2013
Katja Drechsel
IWH Flash Indicator,
No. 1,
2013
Abstract
Der IWH-Flash-Indikator zeigt nach dem kräftigen Rückgang des Bruttoinlandsproduktes Ende 2012 für das erste Quartal 2013 eine Erholung um 0,5% und im zweiten Quartal einen Anstieg um 0,3% an.
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