We show that local banks provide corporate recovery lending to firms affected by adverse regional macro shocks. Banks that reside in counties unaffected by the natural disaster that we specify as macro shock increase lending to firms inside affected counties by 3%. Firms domiciled in flooded counties, in turn, increase corporate borrowing by 16% if they are connected to banks in unaffected counties. We find no indication that recovery lending entails excessive risk-taking or rent-seeking. However, within the group of shock-exposed banks, those without access to geographically more diversified interbank markets exhibit more credit risk and less equity capital.

In DSGE models, fiscal policy is typically described by simple rules in which tax rates respond to the level of output. We show that there is only weak empirical evidence in favor of such specifications in US data. Instead, the cyclical movements of labor and capital income tax rates are better described by a contemporaneous response to hours worked and investment, respectively. We show that conditioning on these variables is also desirable from a normative perspective as it significantly improves welfare relative to output-based rules.

Laut Volkswirtschaftlicher Gesamtrechnung erreicht die ostdeutsche Wirtschaft auch 30 Jahre nach dem Fall des Eisernen Vorhangs nur 80 % der westdeutschen Arbeitsproduktivität. Dieser Unterschied in der gesamtwirtschaftlichen Arbeitsproduktivität geht Hand in Hand mit vielen der wirtschaftlichen und gesellschaftlichen Probleme, denen Ostdeutschland heute gegenübersteht. Um die Ursachen des aggregierten Produktivitätsgefälles zu verstehen, wird die neuere Literatur zum Ost-West-Gefälle diskutiert, die granulare Daten auf Firmen- und Produktebene verwendet. Die Evidenz zeigt die Relevanz von Produktivitätsunterschieden auf Firmenebene für die aggregierte Lücke deutlich und stellt gängige Hypothesen infrage, die aus aggregierten Daten abgeleitet werden.

This article investigates how changing production processes and increasing market power at the firm level relate to a fall in Germany’s manufacturing sector labour share. Coinciding with the fall of the labour share, I document a rise in firms’ product and labour market power. Notably, labour market power is a more relevant source of firms’ market power than product market power. Increasing product and labour market power, however, only account for 30% of the fall in the labour share. The remaining 70% are explained by a transition of firms towards less labour-intensive production activities. I study the role of final product trade in causing those secular movements. I find that rising foreign export demand contributes to a decline in the labour share by increasing labour market power within firms and by inducing a reallocation of economic activity from nonexporting- high-labour-share to exporting-low-labour-share firms

We examine the impact of low-carbon city (LCC) initiatives on labour investment decisions (quantity, quality, and well-being). Using a time-varying difference-in-differences approach based on staggered implementations of such a pilot program, we report an inefficient outcome - absolute deviation of labour investment from the optimal net hiring – especially for firms in labour-intensive industries and firms with high financial slack or adjustment costs. We, however, observe increased investments in highly skilled personnel and compensated with employee stock ownership, especially by firms under intense pressure to reduce carbon emissions. Such initiatives are also closely associated with the significant enhancement of workplace safety. Overall, LCC helps to upgrade the corporate labour structure by hiring more skilled employees through reduced agency problems and heightened green innovation.

This paper provides new evidence of herding due to non- and fundamental information in global equity markets. Using quantile regressions applied to daily data for 33 countries, we investigate herding during the Eurozone crisis, China’s market crash in 2015–2016, in the aftermath of the Brexit vote and during the Covid-19 Pandemic. We find significant evidence of herding driven by non-fundamental information in case of negative tail market conditions for most countries. This study also investigates the relationship between herding and systemic risk, suggesting that herding due to fundamentals increases when systemic risk increases more than when driven by non-fundamentals. Granger causality tests and Johansen’s vector error-correction model provide solid empirical evidence of a strong interrelationship between herding and systemic risk, entailing that herding behavior may be an ex-ante aspect of systemic risk, with a more relevant role played by herding based on fundamental information in increasing systemic risk.

Drawing upon evidence from the Chinese corporate bond market, we study how ownership structure affects the cost of debt for firms. Our results show that state, institutional and foreign ownership formats reduce the cost of debt for firms. The benefits of state ownership are accentuated when the issuer is headquartered in a province with highly developed market institutions, operates in an industry less dominated by the state or during the period after the 2012 anti-corruption reforms. Institutional ownership provides the most benefits in environments with lower levels of marketization, especially for firms with low credit quality. Our evidence sheds light on the nexus of ownership and debt cost in a political economy where state-owned enterprises (SOEs) and non-SOEs face productivity and credit frictions. It is also illustrative of how the market environment interacts with corporate ownership in affecting the cost of bond issuance.

This study explores the evolution of accounting research by utilizing an unsupervised machine learning approach. We aim to identify the latent topics of accounting from the 1980s up to 2018, the dynamics and emerging topics of accounting research, and the economic reasons behind those changes. First, based on 23,220 articles from 46 accounting journals, we identify 55 topics using the latent Dirichlet allocation model. To illustrate the connection between topics, we use HistCite to generate a citation map along a timeline. The citation clusters demonstrate the “tribalism” phenomenon in accounting research. We then implement the dynamic topic model to reveal the dynamics of topics to show changes in accounting research. The emerging research trends are identified from the topic analytics. We further explore the economic reasons and in-depth insights into the topic evolution, indicating the economic development embeddedness nature of accounting research.

Insolvenzanträge werden vom Schuldner oder Gläubiger beim Insolvenzgericht gestellt. Es vergehen in der Regel mehrere Monate, bis Gerichte entscheiden, ob der Antrag zulässig ist. Der IWH-Insolvenztrend erfasst genau wie die amtliche Statistik erst dann Insolvenzfälle, wenn ein Insolvenzgericht eine formale Eröffnungsentscheidung – also entweder die Eröffnung des Verfahrens oder eine Abweisung mangels Masse – zum jeweiligen Insolvenzverfahren gefällt hat. Das bedeutet, dass im entsprechenden Berichtsmonat in der Regel nicht der Insolvenzantrag gestellt, sondern erstmalig über ihn entschieden wurde.

This study analyzes if regionally affiliated Federal Open Market Committee (FOMC) members take their districts’ regional banking sector instability into account when they vote. Considering the period 1979–2010, we find that a deterioration in a district's bank health increases the probability that this district's representative in the FOMC votes to ease interest rates. According to member-specific characteristics, the effect of regional banking sector instability on FOMC voting behavior is most pronounced for Bank presidents (as opposed to Governors) and FOMC members who have career backgrounds in the financial industry or who represent a district with a large banking sector.