Labor Market Power and Between-Firm Wage (In)Equality
Matthias Mertens
International Journal of Industrial Organization,
December
2023
Abstract
I study how labor market power affects firm wage differences using German manufacturing sector firm-level data (1995-2016). In past decades, labor market power increasingly moderated rising between-firm wage differences. This is because high-paying firms possess high and increasing labor market power and pay wages below competitive levels, whereas low-wage firms pay competitive or even above competitive wages. Over time, large, high-wage, high-productivity firms generate increasingly large labor market rents while charging comparably low product markups. This provides novel insights on why such top firms are profitable and successful. Using micro-aggregated data covering most economic sectors, I validate key results for multiple European countries.
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Trade Shocks, Labour Markets and Elections in the First Globalisation
Richard Bräuer, Wolf-Fabian Hungerland, Felix Kersting
Abstract
This paper studies the economic and political effects of a large trade shock in agriculture – the grain invasion from the Americas – in Prussia during the first globalisation (1871-1913). We show that this shock accelerated the structural change in the Prussian economy through migration of workers to booming cities. In contrast to studies using today’s data, we do not observe declining per capita income and political polarisation in counties affected by foreign competition. Our results suggest that the negative and persistent effects of trade shocks we see today are not a universal feature of globalisation, but depend on labour mobility. For our analysis, we digitise data from Prussian industrial and agricultural censuses on the county level and combine it with national trade data at the product level. We exploit the cross-regional variation in cultivated crops within Prussia and instrument with Italian trade data to isolate exogenous variation.
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Gemeinschaftsdiagnose Herbst 2023: Kaufkraft kehrt zurück – politische Unsicherheit hoch
Geraldine Dany-Knedlik, Oliver Holtemöller, Stefan Kooths, Torsten Schmidt, Timo Wollmershäuser
Wirtschaftsdienst,
No. 10,
2023
Abstract
Die Projektgruppe Gemeinschaftsdiagnose prognostiziert für das Jahr 2023 einen Rückgang des Bruttoinlandsprodukts in Deutschland um 0,6 %. Damit wird die Prognose vom Frühjahr 2023 kräftig um 0,9 Prozentpunkte nach unten revidiert. Der wichtigste Grund dafür ist, dass sich die Industrie und der Konsum langsamer erholen als im Frühjahr erwartet wurde.
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Political Ties and the Yield Curve
Gene Ambrocio, Iftekhar Hasan
Economics Letters,
July
2023
Abstract
We examine the effect of political ties with the US on sovereign yields and ratings at various horizons. We find beneficial effects across both short- and long-term yields and ratings. Specifically, we find that stronger political ties with the US affect mainly the level of the yield curve of foreign sovereign bonds. These results imply that the market perceives political ties with the US as having both near- and long-term beneficial consequences.
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The Impact of Lowering Carbon Emissions on Corporate Labour Investment: A Quasi-Natural Experiment
June Cao, Iftekhar Hasan, Wenwen Li
Energy Economics,
May
2023
Abstract
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.
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Regulation and Information Costs of Sovereign Distress: Evidence from Corporate Lending Markets
Iftekhar Hasan, Suk-Joong Kim, Panagiotis Politsidis, Eliza Wu
Journal of Corporate Finance,
October
2023
Abstract
We examine the effect of sovereign credit impairments on the pricing of syndicated loans following rating downgrades in the borrowing firms' countries of domicile. We find that the sovereign ceiling policies used by credit rating agencies create a disproportionately adverse impact on the bounded firms' borrowing costs relative to other domestic firms following their sovereign's rating downgrade. Rating-based regulatory frictions partially explain our results. On the supply-side, loans carry a higher spread when granted from low-capital banks, non-bank lenders, and banks with high market power. We further document an operating demand-side channel, contingent on borrowers' size, financial constraints, and global diversification. Our results can be attributed to the relative bargaining power between lenders and borrowers: relationship borrowers and non-bank dependent borrowers with alternative financing sources are much less affected.
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Herding Behavior and Systemic Risk in Global Stock Markets
Iftekhar Hasan, Radu Tunaru, Davide Vioto
Journal of Empirical Finance,
September
2023
Abstract
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.
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Ownership Structure and the Cost of Debt: Evidence From the Chinese Corporate Bond Market
Sris Chatterjee, Xian Gu, Iftekhar Hasan, Haitian Lu
Journal of Empirical Finance,
September
2023
Abstract
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.
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Exploring Accounting Research Topic Evolution: An Unsupervised Machine Learning Approach
June Cao, Zhanzhong Gu, Iftekhar Hasan
Journal of International Accounting Research,
No. 3,
2023
Abstract
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.
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Aktuelle Trends: Insolvenzanträge als Frühindikator für den IWH-Insolvenztrend
Steffen Müller
Wirtschaft im Wandel,
No. 3,
2023
Abstract
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.
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