Advances in Using Vector Autoregressions to Estimate Structural Magnitudes
Christiane Baumeister, James D. Hamilton
Econometric Theory,
forthcoming
Abstract
This paper surveys recent advances in drawing structural conclusions from vector autoregressions (VARs), providing a unified perspective on the role of prior knowledge. We describe the traditional approach to identification as a claim to have exact prior information about the structural model and propose Bayesian inference as a way to acknowledge that prior information is imperfect or subject to error. We raise concerns from both a frequentist and a Bayesian perspective about the way that results are typically reported for VARs that are set-identified using sign and other restrictions. We call attention to a common but previously unrecognized error in estimating structural elasticities and show how to correctly estimate elasticities even in the case when one only knows the effects of a single structural shock.
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01.07.2020 • 11/2020
New Horizon 2020 project: The Challenge of the Social Impact of Energy Transitions
Funded by the European Commission’s Framework Programme Horizon 2020, the ENTRANCES project recently closed its kick-off meeting with a high scientific and institutional participation, and taking on the challenge of modeling the social impact of the energy transition.
Oliver Holtemöller
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Benchmark Value-added Chains and Regional Clusters in R&D-intensive Industries
Reinhold Kosfeld, Mirko Titze
International Regional Science Review,
No. 5,
2017
Abstract
Although the phase of euphoria seems to be over, policy makers and regional agencies have maintained their interest in cluster policy. Modern cluster theory provides reasons for positive external effects that may accrue from interaction in a group of proximate enterprises operating in common and related fields. Although there has been some progress in locating clusters, in most cases only limited knowledge on the geographical extent of regional clusters has been established. In the present article, we present a hybrid approach to cluster identification. Dominant buyer–supplier relationships are derived by qualitative input–output analysis from national input–output tables, and potential regional clusters are identified by spatial scanning. This procedure is employed to identify clusters of German research and development-intensive industries. A sensitivity analysis reveals good robustness properties of the hybrid approach with respect to variations in the quantitative cluster composition.
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Local economic development between system transformation and locational competition- the example of the city of Leipzig
Martin T. W. Rosenfeld, S. Kohler
Forschungs- und Sitzungsberichte der ARL, Bd. 238,
2012
Abstract
The example of Leipzig is used to investigate the effects ofstructural changes and increasin¬gly intense locational competition. Leipzig is particularly interesting because the city was traditionally a location for knowledge and trade, factors and/or activities that are being assigned particular significance under present day conditions of locational competition. Leipzig is currently well equipped with important potential factors. However, in terms of economic results the city has not yet been able to regain the position it occupied before the Second World War. In this context the consequences of the command economy and system transformation have played just as important a role as the changes in locational competition. The influence of these changes in Leipzig is made particularly clear by, among otherthings, L. the way in which the city - in common with other cities too - applies “modern“ economic policy strategies (cluster promotion, amenity strategy, metropolitan region strategy).
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Incubating an Illusion? Long-term Incubator Firm Performance after Graduation
Michael Schwartz
Growth and Change,
No. 4,
2011
Abstract
Local economic development policies worldwide perceive business incubation as an effective measure to promote regional growth through the support of young and innovative ventures. The common assumption is that incubation promotes firm growth, in particular after these firms graduated from their incubator organizations. This article investigates the long-term performance of 324 graduate firms from five German business incubators (incubated between 1990 and 2006) after they have (successfully) completed their incubation. The present study does not suffer from a survivor bias, meaning that performance data of non-surviving firms is also included. Using employment and sales measures as performance indicators, this study contributes to our knowledge with regard to long-term incubator firm performance after graduation. While in the first years after graduation there is significant growth of formerly incubated firms, further results do not support the presumption of continuous firm growth beyond incubation. A minority of graduate firms exhibits a strong increase in performance, but the majority of firms do not experience considerable growth.
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Prediction Markets: Prognosemärkte in Praxis und Theorie - Ein Überblick
Marian Berneburg
External Publications,
2008
Abstract
A common joke among economist is: Why has god created meteorologists? To make the forecasts of economist look less bad! At the heart of this joke stands the critique that economic forecasts are notoriously inaccurate. Prediction Markets are an attempt to improve these forecasts by aggregating the knowledge of many. The present article takes a closer look at these Prediction Markets. By analysing the existing literature in terms of the relevant theoretical as well as empirical basis, it is shown that an adapted version of the model by Kyle (1985) with noise and insider traders is able to explain the high degree of predictive accuracy, i. e. informational efficiency, of prediction markets. At the same time such a model is able to cope with the Grossman-Stiglitz Paradox (1976) or the No-Trade Theorem (Milgrom & Stokey, 1982), both are common theoretical arguments against informational efficiency. This allows the interpretation of market prices as event probabilities. Even though some empirical artefacts (e. g. the favorite-longshot bias) exist and more research, especially in terms of prediction markets covering economic events, is needed, the overall verdict on these forecasting tools has to be that they are roughly semi-strong efficient. They hence provide an interesting, very accurate and additional tool in forecasting.
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