Understanding Post-Covid Inflation Dynamics
Martín Harding, Jesper Lindé, Mathias Trabandt
Journal of Monetary Economics,
November
2023
Abstract
We propose a macroeconomic model with a nonlinear Phillips curve that has a flat slope when inflationary pressures are subdued and steepens when inflationary pressures are elevated. The nonlinear Phillips curve in our model arises due to a quasi-kinked demand schedule for goods produced by firms. Our model can jointly account for the modest decline in inflation during the Great Recession and the surge in inflation during the post-COVID period. Because our model implies a stronger transmission of shocks when inflation is high, it generates conditional heteroskedasticity in inflation and inflation risk. Hence, our model can generate more sizeable inflation surges due to cost-push and demand shocks than a standard linearized model. Finally, our model implies that the central bank faces a more severe trade-off between inflation and output stabilization when inflation is elevated.
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Gemeinschaftsdiagnose Herbst 2023: Kaufkraft kehrt zurück – politische Unsicherheit hoch
Geraldine Dany-Knedlik, Oliver Holtemöller, Stefan Kooths, Torsten Schmidt, Timo Wollmershäuser
Wirtschaftsdienst,
No. 10,
2023
Abstract
Die Projektgruppe Gemeinschaftsdiagnose prognostiziert für das Jahr 2023 einen Rückgang des Bruttoinlandsprodukts in Deutschland um 0,6 %. Damit wird die Prognose vom Frühjahr 2023 kräftig um 0,9 Prozentpunkte nach unten revidiert. Der wichtigste Grund dafür ist, dass sich die Industrie und der Konsum langsamer erholen als im Frühjahr erwartet wurde.
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Stubborn Core Inflation – Time for Supply Side Policies
Oliver Holtemöller, Stefan Kooths, Torsten Schmidt, Timo Wollmershäuser
Wirtschaftsdienst,
No. 4,
2023
Abstract
Die Projektgruppe Gemeinschaftsdiagnose hat ihre Prognose für den Anstieg der Wirtschaftsleistung im laufenden Jahr auf 0,3 % angehoben. Im Herbst 2022 hatte sie noch mit einem Rückgang um 0,4 % gerechnet. Der konjunkturelle Rückschlag im Winterhalbjahr 2022/2023 ist glimpflicher ausgefallen als im Herbst befürchtet, weil die Energiepreise schneller wieder gesunken sind als erwartet. Dennoch wird die Inflationsrate nur langsam zurückgehen, von 6,9 % im vergangenen Jahr auf 6,0 % im Jahr 2023.
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The IWH Forecasting Dashboard – From Forecasts to Evaluation and Comparison
Katja Heinisch, Christoph Behrens, Jörg Döpke, Alexander Foltas, Ulrich Fritsche, Tim Köhler, Karsten Müller, Johannes Puckelwald, Hannes Reichmayr
IWH Technical Reports,
No. 1,
2023
Abstract
The paper describes the “Halle Institute for Economic Research (IWH) Forecasting Dashboard (ForDas)”. This tool aims at providing, on a non-commercial basis, historical and actual macroeconomic forecast data for the Germany economy to researchers and interested audiences. The database renders it possible to directly compare forecast quality across selected institutions and over time. It is partly based on data collected in the DFG-funded project “Macroeconomic Forecasts in Great Crises”.
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Financial Linkages and Sectoral Business Cycle Synchronization: Evidence from Europe
Hannes Böhm, Julia Schaumburg, Lena Tonzer
IMF Economic Review,
December
2022
Abstract
We analyze whether financial integration leads to converging or diverging business cycles using a dynamic spatial model. Our model allows for contemporaneous spillovers of shocks to GDP growth between countries that are financially integrated and delivers a scalar measure of the spillover intensity at each point in time. For a financial network of ten European countries from 1996 to 2017, we find that the spillover effects are positive on average and much larger during periods of financial stress, pointing towards stronger business cycle synchronization. Dismantling GDP growth into value added growth of ten major industries, we observe that spillover intensities vary significantly. The findings are robust to a variety of alternative model specifications.
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Business Cycle Characteristics of Mediterranean Economies: a Secular Trend and Cycle Dynamics Perspective
Anna Solms, Bernd Süssmuth
International Economics and Economic Policy,
October
2022
Abstract
This study analyzes business cycle characteristics for all 20 major contemporaneous economies bordering the Mediterranean Sea based on annual real gross domestic product series for the period from 1960 to 2019. The region we investigate corresponds to the Mare Internum region of the Imperial Roman Empire during the Nerva-Antonine and early Severan dynasty, i.e., at the time of the maximum extent of the Roman Empire around 100 to 200 CE. The covered area encircles the Mediterranean, including economies now belonging to the European Union as well as acceding countries, Turkey, and the Middle East and North African economies. Using a components-deviation-cycle approach, we assess level trends and relative volatility of output. We also quantify the contribution of various factors to the business cycle variability within a region. We find cyclic commonalities and idiosyncrasies are related to ancient and colonial history and to contemporaneous trade relationships. Caliphate and Ottoman Empire membership as well as colonial rule in the twentieth century and contemporary Muslim share of population are the most promising predictors of business cycle commonalities in the region.
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Energy Crisis: Inflation, Recession, Welfare Loss
Oliver Holtemöller, Stefan Kooths, Torsten Schmidt, Timo Wollmershäuser
Wirtschaftsdienst,
No. 10,
2022
Abstract
Die deutsche Wirtschaft wird von der krisenhaften Zuspitzung auf den Gasmärkten schwer belastet. Die hochgeschnellten Gaspreise erhöhen die Energiekosten drastisch und gehen mit einem massiven gesamtwirtschaftlichen Kaufkraftentzug einher. Dies dämpft nicht nur die noch unvollständige Erholung von der Coronakrise, sondern drückt die deutsche Wirtschaft in die Rezession. Dabei kommen die Institute für den kommenden Winter zu dem Ergebnis, dass bei normalen Witterungsbedingungen keine Gasmangellage eintritt. Dennoch bleibt die Versorgungslage äußerst angespannt. Vor diesem Hintergrund dürfte die Wirtschaftsleistung im dritten Quartal bereits leicht gesunken sein. Im Winterhalbjahr ist aufgrund der steigenden Kosten für Energie, der nachlassenden Konsumnachfrage und der schwächelnden Weltwirtschaft mit einem deutlichen Rückgang zu rechnen.
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Understanding Post-Covid Inflation Dynamics
Martín Harding, Jesper Lindé, Mathias Trabandt
Abstract
We propose a macroeconomic model with a nonlinear Phillips curve that has a flat slope when inflationary pressures are subdued and steepens when inflationary pressures are elevated. The nonlinear Phillips curve in our model arises due to a quasi-kinked demand schedule for goods produced by firms. Our model can jointly account for the modest decline in inflation during the Great Recession and the surge in inflation during the Post-Covid period. Because our model implies a stronger transmission of shocks when inflation is high, it generates conditional heteroscedasticity in inflation and inflation risk. Hence, our model can generate more sizeable inflation surges due to cost-push and demand shocks than a standard linearized model. Finally, our model implies that the central bank faces a more severe trade-off between inflation and output stabilization when inflation is high.
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On Modeling IPO Failure Risk
Gonul Colak, Mengchuan Fu, Iftekhar Hasan
Economic Modelling,
April
2022
Abstract
This paper offers a novel framework, combining firm operational risk, IPO pricing risk, and market risk, to model IPO failure risk. By analyzing nearly a thousand variables, we observe that prior IPO failure risk models have suffered from a major missing-variable problem. Evidence reveals several key new firm-level determinants, e.g., the volatility operating performance, the size of its accounts payable, pretax income to common equity, total short-term debt, and a few macroeconomic variables such as treasury bill rate, and book-to-market of the DJIA index. These findings have major economic implications. The total value loss from not predicting the imminent failure of an IPO is significantly lower with this proposed model compared to other established models. The IPO investors could have saved around $18billion over the period between 1994 and 2016 by using this model.
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