From Shares to Machines: How Common Ownership Drives Automation
Joseph Emmens, Dennis Hutschenreiter, Stefano Manfredonia, Felix Noth, Tommaso Santini
IWH Discussion Papers,
Nr. 23,
2024
Abstract
Does increasing common ownership influence firms’ automation strategies? We develop and empirically test a theory indicating that institutional investors’ common ownership drives firms that employ workers in the same local labor markets to boost automation-related innovation. First, we present a model integrating task-based production and common ownership, demonstrating that greater ownership overlap drives firms to internalize the impact of their automation decisions on the wage bills of local labor market competitors, leading to more automation and reduced employment. Second, we empirically validate the model’s predictions. Based on patent texts, the geographic distribution of firms’ labor forces at the establishment level, and exogenous increases in common ownership due to institutional investor mergers, we analyze the effects of rising common ownership on automation innovation within and across labor markets. Our findings reveal that firms experiencing a positive shock to common ownership with labor market rivals exhibit increased automation and decreased employment growth. Conversely, similar ownership shocks do not affect automation innovation if firms do not share local labor markets.
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Alumni
IWH-Alumni Das IWH pflegt den Kontakt zu seinen ehemaligen Mitarbeiterinnen und Mitarbeitern weltweit. Wir beziehen unsere Alumni in unsere Arbeit ein und unterrichten diese…
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Medienecho-Archiv 2021 2020 2019 2018 2017 2016 Dezember 2021 IWH: Ausblick auf Wirtschaftsjahr 2022 in Sachsen mit Bezug auf IWH-Prognose zu Ostdeutschland: "Warum Sachsens…
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DPE Course Programme Archive
DPE Course Programme Archive 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2024 Presenting and Writing about your Research Tim Korver October 14-15, 2024 (IWH)…
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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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DPE Course Programme Archive
DPE Course Programme Archive 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2023 Microeconomics several lecturers winter term 2023/2024 (IWH) Econometrics several…
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Robot Hubs: The Skewed Distribution of Robots in US Manufacturing
Erik Brynjolfsson, Catherine Buffington, Nathan Goldschlag, J. Frank Li, Javier Miranda, Robert Seamans
American Economic Association Papers and Proceedings,
May
2023
Abstract
We use establishment-level data from the US Census Bureau's Annual Survey of Manufactures to study the characteristics and geographic locations of investments in robots. We find that the distribution of robots is highly skewed across locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presences of robot integrators, which specialize in helping manufacturers install robots, and of higher levels of union membership are positively correlated with being a Robot Hub.
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Bitcoin Flash Crash on May 19, 2021: What Did Really Happen on Binance?
Tim Baumgartner, Andre Guettler
IWH Discussion Papers,
Nr. 25,
2022
Abstract
Bitcoin plunged by 30% on May 19, 2021. We examine the outage the largest crypto exchange Binance experienced during the crash, when it halted trading for retail clients and stopped providing transaction data. We find evidence that Binance back-filled these missing transactions with data that does not conform to Benford‘s Law. The Bitcoin futures price difference between Binance and other exchanges was seven times larger during the crash period compared to a prior reference period. Data manipulation is a plausible explanation for our findings. These actions are in line with Binance aiming to limit losses for its futures-related insurance fund.
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Explicit Deposit Insurance Design: International Effects on Bank Lending during the Global Financial Crisis
Iftekhar Hasan, Liuling Liu, Anthony Saunders, Gaiyan Zhang
Journal of Financial Intermediation,
July
2022
Abstract
Studies find that during the 2007–2009 global financial crisis, loan spreads rose and corporate lending tightened, especially for foreign borrowers (a flight-home effect). We find that banks in countries with explicit deposit insurance (DI) made smaller reductions in total lending and foreign lending, experienced smaller increases in loan spreads, and had quicker post-crisis recoveries. These effects are more pronounced for banks heavily relying on deposit funding. Evidence also reveals that more generous or credible DI design is associated with a stronger stabilization effect on bank lending during the crisis, confirmed by the difference-in-differences analysis based on expansion of DI coverage during the crisis. The stabilization effect is robust to the use of country-specific crisis measures and control of temporary government guarantees.
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The State Expropriation Risk and the Pricing of Foreign Earnings
Iftekhar Hasan, Ibrahim Siraj, Amine Tarazi, Qiang Wu
Journal of International Accounting Research,
Nr. 2,
2021
Abstract
We examine the pricing of U.S. multinational firms' foreign earnings in regard to their risk of expropriation and unfair treatment by the governments of the countries in which their international subsidiaries are located. Using 8,891 firm-years observations during the 2001–2013 period, we find that the value relevance of foreign earnings increases with the improvement of the protection from state expropriation risk in the subsidiary host-countries. Our results are not driven by the earnings management practice, investor distraction, country informativeness, and political and trade relationship of a foreign country with the U.S. Furthermore, our results are robust to the confounding effects of country factors, measurement error in the variable of the risk of expropriation, the influence of private contracting institutions, and endogeneity in the decision of the location of subsidiaries.
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