Understanding Post-Covid Inflation Dynamics
Martín Harding, Jesper Lindé, Mathias Trabandt
Journal of Monetary Economics,
im Erscheinen
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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Tracking Weekly State-Level Economic Conditions
Christiane Baumeister, Danilo Leiva-León, Eric Sims
Review of Economics and Statistics,
im Erscheinen
Abstract
This paper develops a novel dataset of weekly economic conditions indices for the 50 U.S. states going back to 1987 based on mixed-frequency dynamic factor models with weekly, monthly, and quarterly variables that cover multiple dimensions of state economies. We find considerable cross-state heterogeneity in the length, depth, and timing of business cycles. We illustrate the usefulness of these state-level indices for quantifying the main contributors to the economic collapse caused by the COVID-19 pandemic and for evaluating the effectiveness of the Paycheck Protection Program. We also propose an aggregate indicator that gauges the overall weakness of the U.S. economy.
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Conditional Macroeconomic Survey Forecasts: Revisions and Errors
Alexander Glas, Katja Heinisch
Journal of International Money and Finance,
November
2023
Abstract
Using data from the European Central Bank's Survey of Professional Forecasters and ECB/Eurosystem staff projections, we analyze the role of ex-ante conditioning variables for macroeconomic forecasts. In particular, we test to which extent the updating and ex-post performance of predictions for inflation, real GDP growth and unemployment are related to beliefs about future oil prices, exchange rates, interest rates and wage growth. While oil price and exchange rate predictions are updated more frequently than macroeconomic forecasts, the opposite is true for interest rate and wage growth expectations. Beliefs about future inflation are closely associated with oil price expectations, whereas expected interest rates are related to predictions of output growth and unemployment. Exchange rate predictions also matter for macroeconomic forecasts, albeit less so than the other variables. With regard to forecast errors, wage growth and GDP growth closely comove, but only during the period when interest rates are at the effective zero lower bound.
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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,
Nr. 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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Gemeinschaftsdiagnose Frühjahr 2023: Inflation im Kern hoch – Angebotskräfte jetzt stärken
Oliver Holtemöller, Stefan Kooths, Torsten Schmidt, Timo Wollmershäuser
Wirtschaftsdienst,
Nr. 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,
Nr. 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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Makrodaten interaktiv
Makrodaten interaktiv Das Angebot präsentiert interaktiv anschaulich aufbereitete Zeitreihen aus amtlichen Veröffentlichungen (Statistisches Bundesamt, Arbeitskreis ...
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Gemeinschaftsdiagnose
Gemeinschaftsdiagnose Die Gemeinschaftsdiagnose ist ein Instrument zur Beurteilung...
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