Gemäß seiner Satzungszwecke verfolgt das IWH auf Basis exzellenter wirtschaftswissenschaftlicher Forschung mit seiner Transferstrategie das Ziel, den Wissenstransfer und den Dialog mit Partnern außerhalb des Wissenschaftsbereichs zu intensivieren, um damit zu besser informierter Entscheidungsfindung in der Gesellschaft beizutragen. Das IWH versteht Wissenstransfer als beiderseitigen Austausch von Informationen. Auf der einen Seite stellt das IWH seinen Transferpartnern wissenschaftliche Expertise zur Verfügung. Auf der anderen Seite findet Transfer auch in der umgekehrten Richtung statt: Das IWH nimmt Anregungen zu Fragen mit hoher gesellschaftlicher Relevanz von den Transferpartnern in seine Forschungsagenda auf.

Die EU hat mit dem „Fit for 55“-Paket zwei große klimapolitische Ziele festgelegt: die Senkung der Treibhausgasemissionen um 55% bis zum Jahr 2030 und Treibhausgasneutralität ab dem Jahr 2050. Im Rahmen des EU-Horizon-2020-Projekts ENTRANCES werden die gesellschaftlichen Effekte der Dekarbonisierung und besonders des Kohleausstiegs in verschiedenen europäischen Regionen interdisziplinär analysiert und darauf basierend Handlungsempfehlungen für die Politik abgeleitet. Der vorliegende Beitrag stellt erste analytische Ergebnisse vor.

We investigate how optimal attention allocation of green-motivated investors changes information asymmetry in financial markets and thus affects firms‘ financing costs. To guide our empirical analysis, we propose a model where investors with heterogeneous green preferences endogenously allocate limited attention to learn market-level or firm-specific fundamental shocks. We find that a higher fraction of green investors in the market leads to higher aggregate attention to green firms. This reduces the information asymmetry of green firms, leading to higher price informativeness and lower leverage. Moreover, the information asymmetry of brown firms and the market increases with the share of green investors. Therefore, greater green attention is associated with less market efficiency. We provide empirical evidence to support our model predictions using U.S. data. Our paper shows how the growing demand for sustainable investing shifts investors‘ attention and benefits eco-friendly firms.

Large emitters reduced their carbon emissions by around 11-15% after the 2015 Paris Agreement (“the Agreement”) relative to public firms that are less in the limelight. We show that this effect is predominantly driven by divestments. Large emitters are 9 p.p. more likely to divest pollutive assets in the post-Agreement period, an increase of over 75%. This divestment effect comes from asset sales and not from closures of pollutive facilities. There is no evidence for increased engagements in other emission reduction activities. Our results indicate significant global asset reallocation effects after the Agreement, shifting emissions out of the limelight.

Competition in the U.S. appears to have declined. One contributing factor may have been heterogeneity in the availability of credit during the financial crisis. I examine the impact of product market peer credit constraints on long-run competitive outcomes and behavior among non-financial firms. I use measures of lender exposure to the financial crisis to create a plausibly exogenous instrument for product market credit availability. I find that credit constraints of product market peers positively predict growth in sales, market share, profitability, and markups. This is consistent with the notion that firms gained at the expense of their credit constrained peers. The relationship is robust to accounting for other sources of inter-firm spillovers, namely credit access of technology network and supply chain peers. Further, I find evidence of strategic investment, i.e. the idea that firms increase investment in response to peer credit constraints to commit to deter entry mobility. This behavior may explain why temporary heterogeneity in the availability of credit appears to have resulted in a persistent redistribution of output across firms.

Die Zusammenlegung von Polizeikräften durch die Schließung von Polizeiposten ist ein vielbeobachtetes Phänomen in entwickelten Volkswirtschaften. Polizeiposten stellen einen bedeutenden und sichtbaren Teil der öffentlichen Infrastruktur dar. Als Ergebnis der vorliegenden Studie zeigt sich, dass die Schließung von Polizeiposten zu einem Anstieg von Autodiebstählen und Wohnungseinbrüchen führt. Diese Resultate können nicht durch Verdrängungseffekte in andere Regionen, veränderte Einsatzstrategien der Polizeieinheiten oder eine geringere Inhaftierung von Kriminellen erklärt werden. Vielmehr sind sie konsistent mit einer veränderten Wahrnehmung der Aufklärungswahrscheinlichkeit. Somit zeigt sich, dass die Sichtbarkeit von lokalen Polizeiposten zur Abschreckung und demnach zur Kriminalitätsbekämpfung beiträgt.

Do lenders securitize or price loans in response to credit risk? Exploiting exogenous variation in regional credit risk due to foreclosure law differences along US state borders, we find that lenders securitize mortgages that are eligible for sale to the Government Sponsored Enterprises (GSEs) rather than price regional credit risk. For non-GSE-eligible mortgages with no GSE buyback provision, lenders increase interest rates as they are unable to shift credit risk to loan purchasers. The results inform the debate surrounding the GSEs' buyback provisions, the constant interest rate policy, and show that underpricing regional credit risk increases the GSEs' debt holdings. 

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”.

Several models posit a positive cross-sectional correlation between markups and firm size, which characterizes misallocation, factor shares, and gains from trade. Accounting for labor market power in markup estimation, we find instead that larger firms have lower product markups but higher wage markdowns. The negative markup-size correlation turns positive when conditioning on markdowns, suggesting interactions between product and labor market power. Our findings are robust to common criticism (e.g., price bias, non-neutral technology) and hold across 19 European countries. We discuss possible mechanisms and resulting implications, highlighting the importance of studying input and output market power in a unified framework.

Several models posit a positive cross-sectional correlation between markups and firm size, which characterizes misallocation, factor shares, and gains from trade. Accounting for labor market power in markup estimation, we find instead that larger firms have lower product markups but higher wage markdowns. The negative markup-size correlation turns positive when conditioning on markdowns, suggesting interactions between product and labor market power. Our findings are robust to common criticism (e.g., price bias, non-neutral technology) and hold across 19 European countries. We discuss possible mechanisms and resulting implications, highlighting the importance of studying input and output market power in a unified framework.