The (Heterogeneous) Economic Effects of Private Equity Buyouts
Steven J. Davis, John Haltiwanger, Kyle Handley, Ben Lipsius, Josh Lerner, Javier Miranda
Management Science,
im Erscheinen
Abstract
The effects of private equity buyouts on employment, productivity, and job reallocation vary tremendously with macroeconomic and credit conditions, across private equity groups, and by type of buyout. We reach this conclusion by examining the most extensive database of U.S. buyouts ever compiled, encompassing thousands of buyout targets from 1980 to 2013 and millions of control firms. Employment shrinks 12% over two years after buyouts of publicly listed firms—on average, and relative to control firms—but expands 15% after buyouts of privately held firms. Postbuyout productivity gains at target firms are large on average and much larger yet for deals executed amid tight credit conditions. A postbuyout tightening of credit conditions or slowing of gross domestic product growth curtails employment growth and intrafirm job reallocation at target firms. We also show that buyout effects differ across the private equity groups that sponsor buyouts, and these differences persist over time at the group level. Rapid upscaling in deal flow at the group level brings lower employment growth at target firms. We relate these findings to theories of private equity that highlight agency problems at portfolio firms and within the private equity industry itself.
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Church Membership and Economic Recovery: Evidence from the 2005 Hurricane Season
Iftekhar Hasan, Stefano Manfredonia, Felix Noth
Economic Journal,
Nr. 664,
2024
Abstract
This paper investigates the critical role of church membership in the process of economic recovery after high-impact natural disasters. We document a significant adverse treatment effect of the 2005 hurricane season in the Southeastern United States on establishment-level productivity. However, we find that establishments in counties with higher rates of church membership saw a significantly stronger recovery in terms of productivity for 2005–10. We also show that church membership is correlated with post-disaster entrepreneurship activities and population growth.
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Too Poor to Be Green? The Effects of Wealth on the Residential Heating Transformation
Tobias Berg, Ulf Nielsson, Daniel Streitz
SSRN Working Paper,
2024
Abstract
Using the near-universe of Danish owner-occupied residential houses, we show that an exogenous increase in wealth significantly increases the likelihood to switch to green heating. We estimate an elasticity of one at the median of the wealth distribution, i.e., a 10% increase in wealth increase raises green heating adoption by 10%. Effects are heterogeneous along the wealth distribution: all else equal, a redistribution of wealth from rich households to poor households can significantly increase green heating adoption. We further explore potential channels of our findings (pro-social preferences, financial constraints, and luxury goods interpretation). Our results emphasize the role of economic growth for the green transition.
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Medienecho
Medienecho Mai 2025 Steffen Müller: Höchster Stand bei Pleiten seit 20 Jahren in: Bremer Nachrichten, 09.05.2025 Steffen Müller: Wirtschaftsinstitut meldet so viele Insolvenzen…
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Archiv
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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People
People Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Doctoral Students Afroza Alam (Supervisor: Reint Gropp ) Julian Andres Diaz Acosta…
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Mission
The Halle Spirit We provide independent research on economic topics that really matter and aim to enrich society with facts and evidence-based insights that facilitate better…
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Wirtschaft im Wandel
Wirtschaft im Wandel Die Zeitschrift „Wirtschaft im Wandel“ unterrichtet die breite Öffentlichkeit über aktuelle Themen der Wirtschaftsforschung. Sie stellt wirtschaftspolitisch…
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Forecasting Economic Activity Using a Neural Network in Uncertain Times: Monte Carlo Evidence and Application to the
German GDP
Oliver Holtemöller, Boris Kozyrev
IWH Discussion Papers,
Nr. 6,
2024
Abstract
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an autoregressive benchmark model in many practically relevant cases. Then, we applied GRNN to forecast quarterly German GDP growth by extending univariate GRNN to multivariate and mixed-frequency settings. We could distinguish between “normal” times and situations where the time-series behavior is very different from “normal” times such as during the COVID-19 recession and recovery. GRNN was superior in terms of root mean forecast errors compared to an autoregressive model and to more sophisticated approaches such as dynamic factor models if applied appropriately.
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Gebietsstands-Transformation Deutschland
Schlüsselbrücken zur Gebietsstands-Transformation in Deutschland Der Staat besitzt die Möglichkeit, innerhalb seiner Staatsgrenzen die ursprüngliche räumliche Struktur seiner…
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