Should Forecasters Use Real-time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence
Katja Heinisch, Rolf Scheufele
German Economic Review,
im Erscheinen
Abstract
In this paper, we investigate whether differences exist among forecasts using real‐time or latest‐available data to predict gross domestic product (GDP). We employ mixed‐frequency models and real‐time data to reassess the role of surveys and financial data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real‐time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.
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Expertisen zur Evaluation der Gemeinschaftsaufgabe „Verbesserung der regionalen Wirtschaftsstruktur“ (GRW) in Sachsen-Anhalt
Matthias Brachert, Claudia M. Buch, Eva Dettmann, Gerhard Heimpold, Mirko Titze, Antje Weyh
IWH Online,
Nr. 2,
2018
Abstract
Investitionszuschüsse im Rahmen der Gemeinschaftsaufgabe „Verbesserung der regionalen Wirtschaftsstruktur“ (GRW) haben eine hohe Bedeutung im Rahmen der Wirtschaftsförderung des Landes Sachsen-Anhalt. Die Ziele der GRW-Förderung in Sachsen-Anhalt umfassen den Aufbau einer breitgefächerten, modernen Wirtschaftsstruktur, die Modernisierung und Erneuerung des Kapitalstocks, die Steigerung der Arbeitsproduktivität und die Schaffung neuer wettbewerbsfähiger Arbeitsplätze. Die vorliegenden drei Expertisen evaluieren diese Förderung mit Blick auf die GRW-Landesregeln, den Zusammenhang zwischen den wirtschaftspolitischen Maßnahmen und deren Wirkung sowie die Beschäftigungseffekte als einen Schwerpunkt der gewerblichen Förderung.
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Public Investment Subsidies and Firm Performance – Evidence from Germany
Matthias Brachert, Eva Dettmann, Mirko Titze
Jahrbücher für Nationalökonomie und Statistik,
Nr. 2,
2018
Abstract
This paper assesses firm-level effects of the single largest investment subsidy programme in Germany. The analysis considers grants allocated to firms in East German regions over the period 2007 to 2013 under the regional policy scheme Joint Task ‘Improving Regional Economic Structures’ (GRW). We apply a coarsened exact matching (CEM) in combination with a fixed effects difference-in-differences (FEDiD) estimator to identify the effects of programme participation on the treated firms. For the assessment, we use administrative data from the Federal Statistical Office and the Offices of the Länder to demonstrate that this administrative database offers a huge potential for evidence-based policy advice. The results suggest that investment subsidies have a positive impact on different dimensions of firm development, but do not affect overall firm competitiveness. We find positive short- and medium-run effects on firm employment. The effects on firm turnover remain significant and positive only in the medium-run. Gross fixed capital formation responses positively to GRW funding only during the mean implementation period of the projects but becomes insignificant afterwards. Finally, the effect of GRW-funding on labour productivity remains insignificant throughout the whole period of analysis.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Heinisch, Rolf Scheufele
Empirical Economics,
Nr. 2,
2018
Abstract
In this paper, we investigate whether there are benefits in disaggregating GDP into its components when nowcasting GDP. To answer this question, we conduct a realistic out-of-sample experiment that deals with the most prominent problems in short-term forecasting: mixed frequencies, ragged-edge data, asynchronous data releases and a large set of potential information. We compare a direct leading indicator-based GDP forecast with two bottom-up procedures—that is, forecasting GDP components from the production side or from the demand side. Generally, we find that the direct forecast performs relatively well. Among the disaggregated procedures, the production side seems to be better suited than the demand side to form a disaggregated GDP nowcast.
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Comments on “Consultation BCBS discussion paper on the regulatory treatment of sovereign exposures”
Michael Koetter, Lena Tonzer
Einzelveröffentlichungen,
2018
Abstract
The BCBS discussion paper on the regulatory treatment of sovereign exposures addresses a so far hardly touched topic as concerns capital regulation. While the regulatory framework has been changed substantially over recent years including the establishment of the European Banking Union, risk weights on sovereign exposures have remained mostly unchanged and sovereign exposures of banks benefit from a favourable capital treatment. This applies despite the fact that the recent European sovereign debt crisis has revealed the potential of a doom loop between bank and sovereign risk and demonstrated that sovereign exposures are by no means “risk-free”. The paper is thus an important proposal how to change the risk evaluation of banks’ sovereign exposures.
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15.02.2018 • 1/2018
Presseeinladung: „Von der Transformation zur Europäischen Integration: Optimieren durch Evaluieren – Wirtschaftsförderung im Qualitätscheck“
Unter dem Titel „Von der Transformation zur Europäischen Integration: Optimieren durch Evaluieren – Wirtschafts-förderung im Qualitätscheck“ präsentiert das Leibniz-Institut für Wirtschaftsforschung Halle (IWH) am Mittwoch, dem 21. Februar 2018 gemeinsam mit Wissenschaftlerinnen und Wissenschaftlern anderer Forschungsinstitute sowie Universitäten Forschungsergebnisse zu verschiedenen Aspekten der Evaluation von Wirtschaftsfördermaßnahmen.
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Who Benefits from GRW? Heterogeneous Employment Effects of Investment Subsidies in Saxony Anhalt
Eva Dettmann, Mirko Titze, Antje Weyh
IWH Discussion Papers,
Nr. 27,
2017
Abstract
The paper estimates the plant level employment effects of investment subsidies in one of the most strongly subsidized German Federal States. We analyze the treated plants as a whole, as well as the influence of heterogeneity in plant characteristics and the economic environment. Modifying the standard matching and difference-in-difference approach, we develop a new procedure that is particularly useful for the evaluation of funding programs with individual treatment phases within the funding period. Our data base combines treatment, employment and regional information from different sources. So, we can relate the absolute effects to the amount of the subsidy paid. The results suggest that investment subsidies have a positive influence on the employment development in absolute and standardized figures – with considerable effect heterogeneity.
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