Aggregate Dynamics with Sectoral Price Stickiness Heterogeneity and Aggregate Real Shocks
Alessandro Flamini, Iftekhar Hasan
Journal of Money, Credit and Banking,
forthcoming
Abstract
This paper investigates the relationship between heterogeneity in sectoral price stickiness and the response of the economy to aggregate real shocks. We show that sectoral heterogeneity reduces inflation persistence for a constant average duration of price spells, and that inflation persistence can fall despite duration increases associated with increases in heterogeneity. We also find that sectoral heterogeneity reduces the persistence and volatility of interest rate and output gap for a constant price spells duration, while the qualitative impact on inflation volatility tends to be positive. A relevant policy implication is that neglecting price stickiness heterogeneity can impair the economic dynamics assessment.
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08.01.2025 • 1/2025
IWH founds a European centre for microdata research
The Halle Institute for Economic Research (IWH) is once again growing significantly. A new institute unit will generate access to microdata from European countries to facilitate new research on productivity, a prerequisite for prosperity. The IWH's budget increases by almost one million euros per year.
Reint E. Gropp
Javier Miranda
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Climate-resilient Economic Development in Vietnam: Insights from a Dynamic General Equilibrium Analysis (DGE-CRED)
Andrej Drygalla, Katja Heinisch, Christoph Schult
IWH Technical Reports,
No. 1,
2024
Abstract
In a multi-sector and multi-region framework, this paper employs a dynamic general equilibrium model to analyze climate-resilient economic development (DGE-CRED) in Vietnam. We calibrate sector and region-specific damage functions and quantify climate variable impacts on productivity and capital formation for various shared socioeconomic pathways (SSPs 119, 245, and 585). Our results based on simulations and cost-benefit analyses reveal a projected 5 percent reduction in annual GDP by 2050 in the SSP 245 scenario. Adaptation measures for the dyke system are crucial to mitigate the consumption gap, but they alone cannot sufficiently address it. Climate-induced damages to agriculture and labor productivity are the primary drivers of consumption reductions, underscoring the need for focused adaptation measures in the agricultural sector and strategies to reduce labor intensity as vital policy considerations for Vietnam’s response to climate change.
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Declining Business Dynamism in Europe: The Role of Shocks, Market Power, and Technology
Filippo Biondi, Sergio Inferrera, Matthias Mertens, Javier Miranda
VoxEU CEPR,
2024
Abstract
We study changes in business dynamism in Europe after 2000 using novel micro-aggregated data that we collected for 19 European countries. In all countries, we document a broad-based decline in job reallocation rates that concerns most economic sectors and size classes. This decline is mainly driven by dynamics within sectors, size, and age classes rather than by compositional changes. Large and mature firms experience the strongest decline in job reallocation rates. Simultaneously, the employment shares of young firms decline. Consistent with US evidence, firms’ employment has become less responsive to productivity shocks. However, the dispersion of firms’ productivity shocks has decreased too. To enhance our understanding of these patterns, we derive and apply a novel firm-level framework that relates changes in firms’ sales, market power, wages, and production technology to firms’ responsiveness and job reallocation.
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Media Response
Media Response March 2025 IWH: Ökonomen heben Prognosen an in: Fuldaer Zeitung, 14.03.2025 IWH: Institute sehen kaum Wirtschaftswachstum in: Handelsblatt, 14.03.2025 IWH: Führende…
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A turning point for the German economy? The international political environment has fundamentally changed with looming trade wars and a deteriorating security situation in Europe.…
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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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Alumni
IWH Alumni The IWH maintains contact with its former employees worldwide. We involve our alumni in our work and keep them informed, for example, with a newsletter. We also plan…
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MICROPROD
MICROPROD Raising EU Productivity: Lessons from Improved Micro Data The goal of MICROPROD is to contribute to a greater understanding of the challenges brought about in Europe by…
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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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