Do Politicians Affect Firm Outcomes? Evidence from Connections to the German Federal Parliament
André Diegmann, Laura Pohlan, Andrea Weber
IWH Discussion Papers,
Nr. 15,
2024
Abstract
We study how connections to German federal parliamentarians affect firm dynamics by constructing a novel dataset linking politicians and election candidates to the universe of firms. To identify the causal effect of access to political power, we exploit (i) new appointments to the company leadership team and (ii) discontinuities around the marginal seat of party election lists. Our results reveal that connections lead to reductions in firm exits, gradual increases in employment growth without improvements in productivity. Adding information on credit ratings, subsidies and procurement contracts allows us to distinguish between mechanisms driving the effects over the politician’s career.
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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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Credit Supply Shocks: Financing Real Growth or Takeovers?
Tobias Berg, Daniel Streitz, Michael Wedow
Review of Corporate Finance Studies,
Nr. 2,
2024
Abstract
How do firms invest when financial constraints are relaxed? We document that firms affected by a large positive credit supply shock predominantly increase borrowing for transaction-based purposes. These treated firms have larger asset and employment growth rates; however, growth entirely stems from the increased takeover activity. Announcement returns indicate a low quality of the credit-supply-induced takeover activity. These results offer the possibility that credit-driven growth can simply reflect redistribution, rather than net gains in assets or employment.
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Seed Fund
Seed Fund Projects SEED 2022/01 Environmental Macroeconomics: Modelling Regional and Sectoral Heterogeneity IWH-Projektleiter: Gregor von Schweinitz Projektpartner: Martin Quaas…
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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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Declining Business Dynamism in Europe: The Role of Shocks, Market Power, and Responsiveness
Filippo Biondi, Sergio Inferrera, Matthias Mertens, Javier Miranda
VoxEU CEPR,
2024
Abstract
Analysis of business dynamism outside the US has been limited by the availability of comparable cross-country data. This column presents new insights on the trends and drivers of business dynamism using a novel dataset for 19 European countries. Across all 19 countries, the authors document structural declines in job reallocation rates and employment shares in young firms. The decline in job reallocation can be rationalised by both declines in the responsiveness of labour demand to productivity shocks and lower dispersion of productivity innovations. A new decomposition suggests that the decline in responsiveness can be attributed mainly to lower sales growth and stronger markup increases.
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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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Daten
Schlüsselbrücken zur Gebietsstands-Transformation in Deutschland – Daten Zur Demonstration, in welcher Form die Daten aufbereitet und angeboten werden, stellen wir aus den…
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PhD Graduates Financial Markets
PhD Graduates of the Department of Financial Markets Eleonora Sfrappini: "Four Essays on Banking, Climate Risks and Financial Regulation" (2024) Willam McShane: "The Competitive…
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