Board Announcements
Board Announcements June 17, 2025: Feedback First Trial Evaluation May 28, 2025: First Trial Evaluation Mar 27, 2025: IWH Evaluation 2025: Save the Dates Jan 28, 2025: IWH in the…
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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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Gender Equality & Anti-Discrimination
Equal Opportunities at IWH IWH commits to actively promoting equal opportunities for men and women, going beyond already existing guidelines. In 2013, 2016, 2019, and again in…
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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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IWH Forecasting Dashboard
IWH Forecasting Dashboard The objective of the IWH Forecasting Dashboard (ForDas) is to provide a platform for macroeconomic forecasts from various institutions for the German…
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Scientific Advisory Board
Scientific Advisory Board As an association established and registered under German civil law the IWH is composed of different internal bodies through which it is led and…
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At a Glance
IWH at a Glance The Halle Institute for Economic Research (IWH) – Member of the Leibniz Association was founded on January 1, 1992. It is a member of the Leibniz Association. It…
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Lecturers
Lecturers at CGDE Institutions Jordan Adamson Assistant Professor at Institute for Empirical Economic Research, Leipzig University. Website Course: Econometrics (winter term…
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Green Transition
Green Transition Research and Policy Advice for Structural Change in the German Economy Dossier, 18.06.2024 Green Transition The green transition is a key topic of our time. In a…
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Tracking Weekly State-Level Economic Conditions
Christiane Baumeister, Danilo Leiva-León, Eric Sims
Review of Economics and Statistics,
No. 2,
2024
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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