IWH Research Network in Economics
IWH Research Network in Economics (IWH-ReNEc) The Halle Institute for Economic Research (IWH) conducts its research projects in cooperation with external researchers. The IWH…
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IWH Bankruptcy Research
IWH Bankruptcy Research The Bankruptcy Research Unit of the Halle Institute for Economic Research (IWH) presents the Institute’s research on the topics of corporate bankruptcy,…
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IWH Doctoral Programme in Economics
IWH Doctoral Programme in Economics The Halle Institute for Economic Research (IWH) offers doctoral positions in economics that lead to a PhD at a German university under the…
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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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Centre for Business and Productivity Dynamics
Centre for Business and Productivity Dynamics (IWH-CBPD) The Centre for Business and Productivity Dynamics (CBPD) was founded in January 2025 and works with policy and research…
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Research Data Centre
Research Data Centre (IWH-RDC) Direct link to our Data Offer The IWH Research Data Centre offers external researchers access to microdata and micro-aggregated data sets that…
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Internationalisation
Internationalisation The Leibniz Institute for Economic Research Halle (IWH) is responsible for economic research and economic policy advice on a scientific basis. The institute…
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Risky Oil: It's All in the Tails
Christiane Baumeister, Florian Huber, Massimiliano Marcellino
NBER Working Paper,
No. 32524,
2024
Abstract
The substantial fluctuations in oil prices in the wake of the COVID-19 pandemic and the Russian invasion of Ukraine have highlighted the importance of tail events in the global market for crude oil which call for careful risk assessment. In this paper we focus on forecasting tail risks in the oil market by setting up a general empirical framework that allows for flexible predictive distributions of oil prices that can depart from normality. This model, based on Bayesian additive regression trees, remains agnostic on the functional form of the conditional mean relations and assumes that the shocks are driven by a stochastic volatility model. We show that our nonparametric approach improves in terms of tail forecasts upon three competing models: quantile regressions commonly used for studying tail events, the Bayesian VAR with stochastic volatility, and the simple random walk. We illustrate the practical relevance of our new approach by tracking the evolution of predictive densities during three recent economic and geopolitical crisis episodes, by developing consumer and producer distress indices that signal the build-up of upside and downside price risk, and by conducting a risk scenario analysis for 2024.
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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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Voting under Debtor Distress
Jakub Grossmann, Štěpán Jurajda
Abstract
There is growing evidence on the role of economic conditions in the recent successes of populist and extremist parties. However, little is known about the role of over-indebtedness, even though debtor distress has grown in Europe following the financial crisis. We study the unique case of the Czech Republic, where by 2017, nearly one in ten citizens had been served at least one debtor distress warrant even though the country consistently features low unemployment. Our municipality-level difference-in-differences analysis asks about the voting consequences of a rise in debtor distress following a 2001 deregulation of consumer-debt collection. We find that debtor distress has a positive effect on support for (new) extreme right and populist parties, but a negative effect on a (traditional) extreme-left party. The effects of debtor distress we uncover are robust to whether and how we control for economic hardship; the effects of debtor distress and economic hardship are of similar magnitude, but operate in opposing directions across the political spectrum.
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