How Forecast Accuracy Depends on Conditioning Assumptions
Carola Engelke, Katja Heinisch, Christoph Schult
IWH Discussion Papers,
No. 18,
2019
Abstract
This paper examines the extent to which errors in economic forecasts are driven by initial assumptions that prove to be incorrect ex post. Therefore, we construct a new data set comprising an unbalanced panel of annual forecasts from different institutions forecasting German GDP and the underlying assumptions. We explicitly control for different forecast horizons to proxy the information available at the release date. Over 75% of squared errors of the GDP forecast comove with the squared errors in their underlying assumptions. The root mean squared forecast error for GDP in our regression sample of 1.52% could be reduced to 1.13% by setting all assumption errors to zero. This implies that the accuracy of the assumptions is of great importance and that forecasters should reveal the framework of their assumptions in order to obtain useful policy recommendations based on economic forecasts.
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Citizen Science jenseits von MINT – Bürgerforschung in den Geistes‐ und Sozialwissenschaften
Claudia Göbel, Justus Henke, Sylvi Mauermeister, Verena Plümpe
HoF Arbeitsberichte Heft 114,
2020
Abstract
Citizen Science im Bereich der Geistes‐ und Sozialwissenschaften – Social Citizen Science (SCS) – ist ein bislang wenig untersuchter Teilbereich bürgerwissenschaftlicher Aktivitäten. Eine ihrer Besonderheiten ist, dass sie gerade aufgrund ihrer Nähe zur Alltagswelt schwer objektivierbare Beobachtungen verarbeitet. Fragen der Sicherstellung wissenschaftlicher Qualität und der Partizipationsfähigkeit stellen sich mithin auf andere Weise als in naturwissenschaftlich geprägter Citizen Science. Die vorliegende Studie legt hierzu erstmals Daten vor. Es zeigt sich eine große Diversität empirischer Zugänge und Traditionen in SCS. Hervorzuheben ist, dass sich unter den SCS‐Aktivitäten gleichermaßen inner‐ als auch außerakademisch initiierte und geleitete befinden. Damit ist die eingeladene Partizipation durch Wissenschaftseinrichtungen nicht als das allgemeine Referenzmodell für SCS anzusehen, sondern gleichwertig mit uneingeladener Partizipation aus der Zivilgesellschaft heraus. Für SCS‐Vorhaben geht es daher weniger um die Herstellung von „Partizipationsfähigkeit“ von Laien an Forschungsprozessen, sondern vielmehr von „Zusammenarbeitsfähigkeit“ diverser inner‐ und außerakademischer Akteure.
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Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations
Christiane Baumeister, James D. Hamilton
Journal of Monetary Economics,
2018
Abstract
Point estimates and error bands for SVARs that are set identified are only justified if the researcher is persuaded that some parameter values are a priori more plausible than others. When such prior information exists, traditional approaches can be generalized to allow for doubts about the identifying assumptions. We use information about both structural coefficients and impacts of shocks and propose a new asymmetric t-distribution for incorporating information about signs in a nondogmatic way. We apply these methods to a three-variable macroeconomic model and conclude that monetary policy shocks are not the major driver of output, inflation, or interest rates.
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Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information
Christiane Baumeister, James D. Hamilton
Econometrica,
No. 5,
2015
Abstract
This paper makes the following original contributions to the literature. (i) We develop a simpler analytical characterization and numerical algorithm for Bayesian inference in structural vector autoregressions (VARs) that can be used for models that are overidentified, just‐identified, or underidentified. (ii) We analyze the asymptotic properties of Bayesian inference and show that in the underidentified case, the asymptotic posterior distribution of contemporaneous coefficients in an n‐variable VAR is confined to the set of values that orthogonalize the population variance–covariance matrix of ordinary least squares residuals, with the height of the posterior proportional to the height of the prior at any point within that set. For example, in a bivariate VAR for supply and demand identified solely by sign restrictions, if the population correlation between the VAR residuals is positive, then even if one has available an infinite sample of data, any inference about the demand elasticity is coming exclusively from the prior distribution. (iii) We provide analytical characterizations of the informative prior distributions for impulse‐response functions that are implicit in the traditional sign‐restriction approach to VARs, and we note, as a special case of result (ii), that the influence of these priors does not vanish asymptotically. (iv) We illustrate how Bayesian inference with informative priors can be both a strict generalization and an unambiguous improvement over frequentist inference in just‐identified models. (v) We propose that researchers need to explicitly acknowledge and defend the role of prior beliefs in influencing structural conclusions and we illustrate how this could be done using a simple model of the U.S. labor market.
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The Case for a European Rating Agency: Evidence from the Eurozone Sovereign Debt Crisis
Marc Altdörfer, Carlos A. De las Salas Vega, Andre Guettler, Gunter Löffler
Journal of International Financial Markets, Institutions and Money,
2019
Abstract
Politicians frequently voice that European bond issuers would benefit from the presence of a Europe-based rating agency. We take Fitch as a prototype for such an agency. With its ownership structure and a headquarter in London, Fitch is more European than Moody’s and S&P; during the Eurozone sovereign debt crisis, it also issued more favorable ratings. Fitch’s rating actions, however, were largely ignored by the bond market. Our results thus cast doubt on the benefits of a European credit rating agency.
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Neuere Anwendungsfelder der Input-Output-Analyse – Tagungsband – Beiträge zum Halleschen Input-Output-Workshop 2004
Udo Ludwig
IWH-Sonderhefte,
No. 3,
2004
Abstract
Nach einem Jahr Pause trafen sich im Februar 2004 die Input-Output-Forscher aus dem deutschsprachigen Raum zum zweiten Mal am Institut für Wirtschaftsforschung Halle und berichteten über inzwischen erreichte Fortschritte und weitere neue Anwendungen der Input-Output-Analyse. Aus diesem Grunde hat der Herausgeber das Motto des Treffens zur Tagung aus dem Jahr 2002 beibehalten und präsentiert die Beiträge wieder unter dem Titel „Neuere Anwendungsfelder der Input-Output-Analyse“. Der vorliegende Band umfasst die aktualisierte Fassung aller Vorträge, die auf dem Workshop vom 19. bis 20. Februar 2004 zu drei thematischen Schwerpunkten gehalten worden sind.
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Evolving Structural Patterns in the Enlarging European Division of Labour: Sectoral and Branch Specialisation and the Potentials for Closing the Productivity Gap
Johannes Stephan
IWH-Sonderhefte,
No. 5,
2003
Abstract
This report summarises the results generated in empirical analysis within a larger EU 5th FP RTD-project on the determinants of productivity gaps between the current EU-15 and accession states in Central East Europe. The focus of research in this part of the project is on sectoral specialisation patterns emerging as a result of intensifying integration between the current EU and a selection of six newly acceding economies, namely Estonia, Poland, the Czech and Slovak Republics, Hungary and Slovenia. The research-leading question is concerned with the role played by the respective specialisation patterns for (i) the explanation of observed productivity gaps and for (ii) the projection of future potentials of productivity growth in Central East Europe.
For the aggregated level, analysis determines the share of national productivity gaps accountable to acceding countries’ particular sectoral patterns, and their role for aggregate productivity growth: in Poland, the Slovak Republic and Hungary, sectoral shares of national productivity gaps are considerable and might evolve into a ‘barrier’ to productivity catch-up.Moreover, past productivity growth was dominated by a downward adjustment in employment rather than structural change. With the industrial sector of manufacturing having been identified as the main source of national productivity gaps and growth, the subsequent analysis focuses on the role of industrial specialisation patterns and develops an empirical model to project future productivity growth potentials. Each chapter closes with some policy conclusions.
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Position and perspectives of Saxony-Anhalt in the New Economy
Martin T. W. Rosenfeld, Joachim Ragnitz, Rupert Kawka, Walter Komar
IWH-Sonderhefte,
No. 6,
2003
Abstract
Der technische Fortschritt zählt zu den zentralen Determinanten des wirtschaftlichen Wachstums. Regionen, in denen viel Forschung und Entwicklung betrieben wird, haben daher eine bessere Ausgangsposition im Standortwettbewerb als solche, wo dies in nur geringerem Maß geschieht. Eine besondere Hoffnung gilt dabei den Hochtechnologiebranchen und nicht zuletzt dem hier untersuchten Informations- und Kommunikationssektor sowie dem Biotechnologiesektor. Diese beiden Bereiche bilden einen wesentlichen Teilbestand der so genannten New Economy. Die Vergangenheit hat gezeigt, dass die New Economy nicht von Krisen verschont bleibt, und so ist ein realistischeres Bild von den Chancen, die diese Hochtechnologien bieten können, entstanden. Dennoch besteht die berechtigte Hoffnung, dass die beiden genannten Branchen weiterhin einen weitreichenden Einfluss auch auf andere Wirtschaftssektoren ausüben, indem sie so genannte Schlüssel- oder Querschnittstechnologien entwickeln und anbieten.
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The Appropriateness of the Macroeconomic Imbalance Procedure for Central and Eastern European Countries
Martina Kämpfe, Tobias Knedlik
IWH Discussion Papers,
No. 16,
2017
Abstract
The experience of Central and Eastern European countries (CEEC) during the global financial crisis and in the resulting European debt crises has been largely different from that of other European countries. This paper looks at the specifics of the CEEC in recent history and focuses in particular on the appropriateness of the Macroeconomic Imbalances Procedure for this group of countries. In doing so, the macroeconomic situation in the CEEC is highlighted and macroeconomic problems faced by these countries are extracted. The findings are compared to the results of the Macroeconomic Imbalances Procedure of the European Commission. It is shown that while the Macroeconomic Imbalances Procedure correctly identifies some of the problems, it understates or overstates other problems. This is due to the specific construction of the broadened surveillance procedure, which largely disregarded the specifics of catching-up economies.
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“The German Saver” and the Low Policy Rate Environment
Reint E. Gropp, Vahid Saadi
IWH Online,
No. 9,
2015
Abstract
It is widely claimed that “the German saver” suffers (i.e. generates significantly lower returns on her savings) in the low interest environment that Germany currently experiences relative to a high interest rate environment. With “low interest rate environment”, the observers tend to mean “low policy rates”, i.e. the European Central Bank’s (ECB) main refinancing rate.
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