Macroeconomic Reports
Macroeconomic Reports Local and global: IWH regularly provides current economic data - be it about the state of the East German economy, the macroeconomic development in Germany…
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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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Geopolitical turn intensifies crisis – structural reforms even more urgent The German economy will continue to tread water in 2025. In their spring report, the leading economic…
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IWH Bankruptcy Research
IWH Bankruptcy Research The Bankruptcy Research Unit of the Halle Institute for Economic Research (IWH) presents the Institute’s research on the topics of corporate bankruptcy,…
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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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Research Data Centre
Research Data Centre (IWH-RDC) Direct link to our Data Offer The IWH Research Data Centre offers external researchers access to microdata and micro-aggregated data sets that…
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Forecasting Economic Activity Using a Neural Network in Uncertain Times: Monte Carlo Evidence and Application to the
German GDP
Oliver Holtemöller, Boris Kozyrev
IWH Discussion Papers,
No. 6,
2024
Abstract
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an autoregressive benchmark model in many practically relevant cases. Then, we applied GRNN to forecast quarterly German GDP growth by extending univariate GRNN to multivariate and mixed-frequency settings. We could distinguish between “normal” times and situations where the time-series behavior is very different from “normal” times such as during the COVID-19 recession and recovery. GRNN was superior in terms of root mean forecast errors compared to an autoregressive model and to more sophisticated approaches such as dynamic factor models if applied appropriately.
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DPE Course Programme Archive
DPE Course Programme Archive 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2025 Microeconomics several lecturers winter term 2024/2025 (IWH) Econometrics…
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IWH Construction Survey
IWH Construction Survey From 1993 until the first quarter of 2017, the IWH conducted regular surveys among companies. The results of these surveys could be used to promptly…
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IWH Industry Survey
IWH Industry Survey From 1993 until the first quarter of 2017, the IWH conducted regular surveys among companies. The results of these surveys could be used to promptly describe…
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