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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Konjunktur aktuell: Deutschland in der Stagnation festgefahren – privater Konsum weiter unter dem Niveau
von vor der Pandemie
Konjunktur aktuell,
No. 1,
2024
Abstract
Zu Beginn des Jahres 2024 zeigen Stimmungsindikatoren etwas aufgehellte Aussichten für die internationale Konjunktur. In Europa dürfte die Dynamik allerdings recht schwach bleiben. Deutschland befindet sich in einer lang anhaltenden Stagnation, die sich bis zum Sommer fortsetzen wird. Für die Zeit danach ist mit einem leichten Anziehen der Konjunktur zu rechnen. Das Bruttoinlandsprodukt dürfte im Jahr 2024 um lediglich 0,2% expandieren, für 2025 prognostiziert das IWH einen Zuwachs um 1,5%.
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Macroeconomic Effects from Sovereign Risk vs. Knightian Uncertainty
Ruben Staffa
IWH Discussion Papers,
No. 27,
2023
Abstract
This paper compares macroeconomic effects of Knightian uncertainty and risk using policy shocks for the case of Italy. Drawing on the ambiguity literature, I use changes in the bid-ask spread and mid-price of government bonds as distinct measures for uncertainty and risk. The identification exploits the quasi-pessimistic behavior under ambiguity-aversion and the dealer market structure of government bond markets, where dealers must quote both sides of the market. If uncertainty increases, ambiguity-averse dealers will quasi-pessimistically quote higher ask and lower bid prices – increasing the bid-ask spread. In contrast, a pure change in risk shifts the risk-compensating discount factor which is well approximated by the change in bond mid-prices. I evaluate economic effects of the two measures within an instrumental variable local projection framework. The main findings are threefold. First, the resulting shock time series for uncertainty and risk are uncorrelated with each other at the intraday level, however, upon aggregation to monthly level the measures become correlated. Second, uncertainty is an important driver of economic aggregates. Third, macroeconomic effects of risk and uncertainty are similar, except for the response of prices. While sovereign risk raises inflation, uncertainty suppresses price growth – a result which is in line with increased price rigidity under ambiguity.
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The Importance of Credit Demand for Business Cycle Dynamics
Gregor von Schweinitz
IWH Discussion Papers,
No. 21,
2023
Abstract
This paper contributes to a better understanding of the important role that credit demand plays for credit markets and aggregate macroeconomic developments as both a source and transmitter of economic shocks. I am the first to identify a structural credit demand equation together with credit supply, aggregate supply, demand and monetary policy in a Bayesian structural VAR. The model combines informative priors on structural coefficients and multiple external instruments to achieve identification. In order to improve identification of the credit demand shocks, I construct a new granular instrument from regional mortgage origination.
I find that credit demand is quite elastic with respect to contemporaneous macroeconomic conditions, while credit supply is relatively inelastic. I show that credit supply and demand shocks matter for aggregate fluctuations, albeit at different times: credit demand shocks mostly drove the boom prior to the financial crisis, while credit supply shocks were responsible during and after the crisis itself. In an out-of-sample exercise, I find that the Covid pandemic induced a large expansion of credit demand in 2020Q2, which pushed the US economy towards a sustained recovery and helped to avoid a stagflationary scenario in 2022.
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14.12.2023 • 30/2023
Exports and private consumption weak ‒ Germany is waiting for an economic upturn
In the winter of 2023/2024, the German economy is still in a downturn. Parts of industry have lost competitiveness, real incomes have fallen in 2023 due to inflation, and there is uncertainty about the course of fiscal policy. However, rising real incomes and a slight increase in exports should cause a pickup from spring onwards. The Halle Institute for Economic Research (IWH) expects gross domestic product (GDP) to fall by 0.3% in 2023 and to expand by 0.5% in 2024 (East Germany: +0.5% and +0.7%). In September, the IWH forecast had assumed a decline of 0.5% for Germany in 2023 and expected growth of 0.9% for the coming year.
Oliver Holtemöller
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Konjunktur aktuell: Export und privater Konsum schwach – Deutschland wartet auf den Aufschwung
Konjunktur aktuell,
No. 4,
2023
Abstract
Die Weltwirtschaft verliert zum Ende des Jahres 2023 weiter an Schwung. Der durch den weltweiten Inflationsschub ausgelöste restriktive Schwenk der Geldpolitik drückt über höhere Finanzierungskosten vielerorts die Güternachfrage. Im nächsten Jahr dürfte die Weltwirtschaft wieder etwas anziehen. Die deutsche Wirtschaft ist nach Ende der Pandemie nicht wieder auf ihren alten Wachstumspfad zurückgekehrt. Das Verarbeitenden Gewerbe hat an Wettbewerbsfähigkeit eingebüßt, und die Weltnachfrage nach Industriegütern ist zurzeit schwach. Zudem ist die Inflation immer noch hoch, und die Realeinkommen sind längere Zeit über zurückgegangen. Die geldpolitische Straffung hat die Finanzierungsbedingungen verschlechtert, was besonders die Bauwirtschaft belastet. Das Bruttoinlandsprodukt wird 2023 wohl um 0,3% sinken und im kommenden Jahr um 0,5% expandieren.
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Microdata for Economic Research in Europe: Challenges and Proposals
Eric Bartelsman, Marco Matani, Filippo di Mauro, Sergio Inferrera, Ugo Panizza, Michael Polder
CEPR,
No. 18640,
2023
Abstract
While access to high-quality microdata is essential for economic research and policy evaluation, effective access to such data remains limited in Europe. It varies from country to country, with uneven information on access procedures. This is a major obstacle to social science research, including research on European competitiveness and the effects of climate change, inequality, globalization, and digitalization. The objective of this paper, which is based on a brainstorming exercise coordinated by CEPR and CompNet, is to assess the status quo and discuss a series of proposals for improving access to Microdata for economic research. We underline the need for developing the relevant tools for extended access to and use of European business statistics microdata. Building such tools entails both establishing the requested microdata and creating a body facilitating cross-country access to the established databases with harmonized content.
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Media Response
Media Response November 2024 Steffen Müller: Firmaer er oftere i problemer in: Flensborg Avis, 22.11.2024 Steffen Müller: Zahl der Insolvenzen steigt in: Süddeutsche.de,…
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IWH-DPE Call for Applications – Fall 2025 Intake
IWH-DPE Call for Applications About the IWH Doctoral Programme in Economics The IWH Doctoral Programme in Economics (IWH-DPE) is a rigorous structured four-year PhD programme with…
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