HKIMR Seminar Hong Kong
HKIMR Seminar Date: April 11, 2025 @ 10:30 AM Location: Hong Kong Institute for Monetary and Financial Research, Hong Kong Speaker: Filippo di Mauro (Founder and Chairman of…
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ProdTalks
CompNet ProdTalks CompNet ProdTalks is a monthly recurring 1.5 hour virtual event, two selected papers will be presented including presentation, discussion and Q&A. The top ic…
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10th CompNet Annual Conference
10th CompNet Annual Conference This year CompNet celebrates its 10th Annual Conference, together with Banque de France as co-host, which took place in Paris. The topic of the…
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11th Annual Conference in Luxembourg
11th Annual Conference in Luxembourg 14.-15. September 2022 in Luxembourg This year CompNet celebrated its 11th Annual Conference, together with EIB and ENRI as co-hosts, which…
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Conference on innovation and productivity in the aftermath of the pandemic
Conference on innovation and productivity in the aftermath of the pandemic Asian Development Bank Institute, Tokyo-Japan 15. November 2022 In the last few years, the ADBI has…
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Regional Industrial Effects in Germany from a Potential Gas Deficit
Robert Lehmann, Christoph Schult
German Economic Review,
Vol. 25 (3),
2024
Abstract
We estimate potential regional industrial effects in case of a threatening gas deficit. For Germany, the reduction leads to a potential decrease in industrial value added by 1.6 %. The heterogeneity across German states is remarkable, ranging from 2.2 % for Rhineland-Palatinate to 0.7 % for Hamburg. We emphasize the need for regional input-output tables to conduct economic analysis on a sub-national level, particularly when regional industrial structures are heterogeneous. The approximation with national figures can lead to results that differ both in magnitude and relative regional exposure. Our findings highlight that more accurate policy guidance can be achieved by improving the regional database.
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Advances in Using Vector Autoregressions to Estimate Structural Magnitudes
Christiane Baumeister, James D. Hamilton
Econometric Theory,
Vol. 40 (3),
2024
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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Internationalisation
Internationalisation The Leibniz Institute for Economic Research Halle (IWH) is responsible for economic research and economic policy advice on a scientific basis. The institute…
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Macro Data Download
Macro Data Download On this page, you will find long time series of macroeconomic data provided by IWH for download. Please note that most files come with labels and legends in…
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Macro data interactive
Macro data interactive This service provides time series from official publications (Statistisches Bundesamt [German Federal Statistical Office], Arbeitskreis Volkswirtschaftliche…
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