Robots and Female Employment in German Manufacturing
Liuchun Deng, Steffen Müller, Verena Plümpe, Jens Stegmaier
American Economic Association Papers and Proceedings,
May
2023
Abstract
We analyze the impact of robot adoption on female employment. Our analysis is based on novel micro data on robot use by German manufacturing establishments linked with social security records. An event study analysis for robot adoption shows increased churning among female workers. Whereas hiring rises significantly at robot adoption, separations increase with a smaller magnitude one year later. Overall, employment effects are modestly positive and strongest for medium-qualified women. We find no adverse employment effects for female workers in any of our broad qualification groups.
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Worker Beliefs about Outside Options
Simon Jäger, Christopher Roth, Nina Roussille, Benjamin Schoefer
Quarterly Journal of Economics,
No. 3,
2024
Abstract
Standard labor market models assume that workers hold accurate beliefs about the external wage distribution, and hence their outside options with other employers. We test this assumption by comparing German workers’ beliefs about outside options with objective benchmarks. First, we find that workers wrongly anchor their beliefs about outside options on their current wage: workers that would experience a 10% wage change if switching to their outside option only expect a 1% change. Second, workers in low-paying firms underestimate wages elsewhere. Third, in response to information about the wages of similar workers, respondents correct their beliefs about their outside options and change their job search and wage negotiation intentions. Finally, we analyze the consequences of anchoring in a simple equilibrium model. In the model, anchored beliefs keep overly pessimistic workers stuck in low-wage jobs, which gives rise to monopsony power and labor market segmentation.
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Aktuelle Trends: Rückgang der Treibhausgasemissionen im Jahr 2023 etwa zur Hälfte durch Produktionsrückgang bedingt
Oliver Holtemöller
Wirtschaft im Wandel,
No. 2,
2024
Abstract
Die Treibhausgasemissionen sind im Jahr 2023 in Deutschland um 76 Mio. Tonnen von 750 Mio. Tonnen im Jahr zuvor auf 674 Mio. Tonnen zurückgegangen.1 Der Rückgang fiel damit deutlich stärker aus als in den Jahren zuvor.
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Rent-Sharing und Energiekosten: In welchem Umfang geben Industrieunternehmen Gewinne und Verluste an ihre Beschäftigten weiter?
Matthias Mertens, Steffen Müller, Georg Neuschäffer
Wirtschaft im Wandel,
No. 2,
2024
Abstract
Diese Studie untersucht, wie die betrieblichen Erträge zwischen deutschen Industrieunternehmen und ihren Beschäftigten aufgeteilt werden. Dafür werden Energiepreisänderungen auf Unternehmensebene und die daraus resultierenden Veränderungen im Unternehmensertrag betrachtet. Wir finden heraus, dass höhere Energiepreise die Löhne drücken und dass ein Rückgang bei den Erträgen um 10% zu einem Rückgang der Löhne um 2% führt. Dieser Zusammenhang ist asymmetrisch, was bedeutet, dass die Löhne nicht von Senkungen der Energiepreise profitieren, aber durch Energiepreiserhöhungen sinken. Kleine Unternehmen geben Schwankungen im Ertrag stärker an die Beschäftigten weiter als Großunternehmen.
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Effiziente grüne Transformation
Reint E. Gropp, Oliver Holtemöller
Wirtschaft im Wandel,
No. 2,
2024
Abstract
Der deutschen Klimapolitik fehlt die große strategische Linie. Die Menschen werden sich nur dann für mehr Klimaschutz einsetzen und bereit sein, dafür finanzielle Opfer zu bringen, wenn die Lasten des Strukturwandels gerecht verteilt sind. Gerecht heißt, dass dort klimaschädliche Gase eingespart werden, wo es am kostengünstigsten ist. Ohne Märkte und die richtigen Preisanreize geht das nicht.
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Drehtüren in den Vorstandsetagen der Finanzaufsicht: Sind Banker oder Bürokraten die besseren Aufseher?
Michael Koetter, Noel Nietzold
Wirtschaft im Wandel,
No. 2,
2024
Abstract
Der „umgekehrte Drehtüreffekt“ beschreibt das Phänomen, wenn ehemalige Bankerinnen und Banker Vorstandspositionen in nationalen Aufsichtsbehörden (National Supervisory Agency, NSA) bekleiden. Ein neu erhobener Datensatz zeigt, dass etwa ein Drittel der Vorstandsmitglieder in europäischen NSA vorher in der Finanzindustrie tätig war. Die Bestellung ehemaliger Banker in NSA-Vorstände geht mit positiven Börsenreaktionen einher, was auf eine „Näheprämie“ in der Bewertung beaufsichtigter Banken hindeutet. Im Gegensatz dazu ruft die Berufung von Bürokraten ohne praktische Vorkenntnisse in der Bankenwelt negative Börsenreaktionen hervor. Bis zur Einführung des Einheitlichen Aufsichtsmechanismus (Single Supervisory Mechanism, SSM) in Europa korreliert die Präsenz ehemaliger Banker in NSA-Vorständen mit einer geringeren regulatorischen Kapitalquote, was auf einen nachsichtigeren Aufsichtsstil schließen lässt.
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Disentangling Stock Return Synchronicity From the Auditor's Perspective
Iftekhar Hasan, Joseph A. Micale, Qiang Wu
Journal of Business Finance and Accounting,
forthcoming
Abstract
This paper investigates a firm's stock return asynchronicity through the auditor's perspective to distinguish whether this asynchronicity can proxy for the company's firm-specific information or the quality of its information environment. We find a significant and positive association between asynchronicity and audit fees after controlling for auditor quality and other factors that affect audit fees, suggesting that stock return asynchronicity is more likely to capture a company's firm-specific information than its information environment. We also find that asynchronous firms are more likely to receive adverse opinions on their internal controls over financial reporting, but are associated with lower costs of capital and auditor litigation, providing further evidence in support of the firm-specific information argument. Asynchronicity's positive association with audit fees is driven by firms with higher accounting reporting complexity, suggesting stock return asynchronicity captures a firm's complexity, resulting in more significant efforts by the auditor.
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State Ownership and Financial Statement Comparability
William Francis, Xian Gu, Iftekhar Hasan, Joon Ho Kong
Journal of Business Finance and Accounting,
forthcoming
Abstract
This paper investigates how state ownership affects financial reporting practices in China. Using several measures of state (government) ownership, we show that a one-standard-deviation increase in state ownership decreases financial statement comparability by 36.61%, and the impact is more pronounced when the central authority has majority control of the company. Moreover, lower earnings quality and lower levels of accounting conservatism among state-owned enterprises (SOEs) may explain the lower accounting comparability between SOEs and non-SOEs (NSOEs). Additionally, similar (different) managerial objectives converge (diverge) financial statement comparability between SOEs and NSOEs. Last, the geographical locations of firms also contribute to financial statement comparability. We employ a difference-in-differences design, changes regression and entropy balancing to mitigate potential endogeneity bias.
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The Corporate Investment Benefits of Mutual Fund Dual Holdings
Rex Wang Renjie, Patrick Verwijmeren, Shuo Xia
Journal of Financial and Quantitative Analysis,
forthcoming
Abstract
Mutual fund families increasingly hold bonds and stocks from the same firm. We present evidence that dual ownership allows firms to increase valuable investments and refinance by issuing bonds with lower yields and fewer restrictive covenants, especially when firms face financial distress. Dual holders also prevent overinvestment by firms with entrenched managers. Overall, our results suggest that mutual fund families internalize the agency conflicts of their portfolio companies, highlighting the positive governance externalities of intra-family cooperation.
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Advances in Using Vector Autoregressions to Estimate Structural Magnitudes
Christiane Baumeister, James D. Hamilton
Econometric Theory,
No. 3,
2024
Abstract
This paper surveys recent advances in drawing structural conclusions from vector autoregressions (VARs), providing a unified perspective on the role of prior knowledge. We describe the traditional approach to identification as a claim to have exact prior information about the structural model and propose Bayesian inference as a way to acknowledge that prior information is imperfect or subject to error. We raise concerns from both a frequentist and a Bayesian perspective about the way that results are typically reported for VARs that are set-identified using sign and other restrictions. We call attention to a common but previously unrecognized error in estimating structural elasticities and show how to correctly estimate elasticities even in the case when one only knows the effects of a single structural shock.
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