How Does Economic Policy Uncertainty Affect Corporate Debt Maturity?
Xiang Li
IWH Discussion Papers,
No. 5,
2022
Abstract
This paper investigates whether and how economic policy uncertainty affects corporate debt maturity. Using a large firm-level dataset for four European countries, we find that an increase in economic policy uncertainty is significantly associated with a shortened debt maturity. Moreover, the impacts are stronger for innovation-intensive firms. We use firms’ flexibility in changing debt maturity and the deviation to leverage target to gauge the causal relationship, and identify the reduced investment and steepened term structure as the transmission mechanisms.
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Labor in the Boardroom
Jörg Heining, Simon Jäger, Benjamin Schoefer
Quarterly Journal of Economics,
No. 2,
2021
Abstract
We estimate the wage effects of shared governance, or codetermination, in the form of a mandate of one-third of corporate board seats going to worker representatives. We study a reform in Germany that abruptly abolished this mandate for stock corporations incorporated after August 1994, while it locked the mandate for the slightly older cohorts. Our research design compares firm cohorts incorporated before the reform and after; in a robustness check we draw on the analogous difference in unaffected firm types (LLCs). We find no effects of board-level codetermination on wages and the wage structure, even in firms with particularly flexible wages. The degree of rent sharing and the labor share are also unaffected. We reject that disinvestment could have offset wage effects through the canonical hold-up channel, as shared governance, if anything, increases capital formation.
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Global Banking: Endogenous Competition and Risk Taking
Ester Faia, Sébastien Laffitte, Maximilian Mayer, Gianmarco Ottaviano
European Economic Review,
April
2021
Abstract
When banks expand abroad, their riskiness decreases if foreign expansion happens in destination countries that are more competitive than their origin countries. We reach this conclusion in three steps. First, we develop a flexible dynamic model of global banking with endogenous competition and endogenous risk-taking. Second, we calibrate and simulate the model to generate empirically relevant predictions. Third, we validate these predictions by testing them on an original dataset covering the activities of the 15 European global systemically important banks (G-SIBs). Our results hold across alternative measures of individual and systemic bank risk.
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14.12.2020 • 25/2020
Deutsche Lebensversicherer investieren nicht ausreichend in Start-ups
Die deutschen Lebensversicherer legen ihr Kapital bislang zu wenig in Aktien an und hemmen so die wirtschaftliche Dynamik. Eine Studie des Leibniz-Instituts für Wirtschaftsforschung Halle (IWH) legt nahe, dass der Gründerszene Risikokapital fehlt, um erfolgreiche Start-ups zu finanzieren. Grund dafür ist das Anlageverhalten potenzieller Investoren. IWH-Präsident Reint Gropp fordert Reformen, die die Finanzierung innovativer Ideen fördern.
Reint E. Gropp
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Epidemics in the Neoclassical and New Keynesian Models
Martin S. Eichenbaum, Sergio Rebelo, Mathias Trabandt
Abstract
We analyze the effects of an epidemic in three standard macroeconomic models. We find that the neoclassical model does not rationalize the positive comovement of consumption and investment observed in recessions associated with an epidemic. Introducing monopolistic competition into the neoclassical model remedies this shortcoming even when prices are completely flexible. Finally, sticky prices lead to a larger recession but do not fundamentally alter the predictions of the monopolistic competition model.
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flexpaneldid: A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration
Eva Dettmann, Alexander Giebler, Antje Weyh
IWH Discussion Papers,
No. 3,
2020
Abstract
The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) for the staggered treatment adoption design and a Stata tool that implements the approach. This flexible conditional difference-in-differences approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations. Introducing more flexibility enables the user to consider individual treatment periods for the treated observations and thus circumventing problems arising in canonical difference-in-differences approaches. The open-source flexpaneldid toolbox for Stata implements the developed approach and allows comprehensive robustness checks and quality tests. The core of the paper gives comprehensive examples to explain the use of the commands and its options on the basis of a publicly accessible data set.
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Firm-level Employment, Labour Market Reforms, and Bank Distress
Moritz Stieglitz, Ralph Setzer
Abstract
We explore the interaction between labour market reforms and financial frictions. Our study combines a new cross-country reform database on labour market reforms with matched firm-bank data for nine euro area countries over the period 1999 to 2013. While we find that labour market reforms are overall effective in increasing employment, restricted access to bank credit can undo up to half of long-term employment gains at the firm-level. Entrepreneurs without sufficient access to credit cannot reap the full benefits of more flexible employment regulation.
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09.10.2019 • 22/2019
Presseeinladung zum Workshop: „Strukturwandel auf dem Arbeitsmarkt“ am 17. und 18. Oktober 2019 in Halle (Saale)
Digitaler, flexibler, internationaler: Der Arbeitsmarkt ist in vielerlei Hinsicht im Umbruch. Wie dieser Wandel sich auf Regionen, Branchen, Betriebe und Beschäftigte auswirkt, diskutiert eine gemeinsame Veranstaltung des Instituts für Arbeitsmarkt- und Berufsforschung (IAB) und des Leibniz-Instituts für Wirtschaftsforschung Halle (IWH).
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HIP, RIP, and the Robustness of Empirical Earnings Processes
Florian Hoffmann
Quantitative Economics,
No. 3,
2019
Abstract
The dispersion of individual returns to experience, often referred to as heterogeneity of income profiles (HIP), is a key parameter in empirical human capital models, in studies of life‐cycle income inequality, and in heterogeneous agent models of life‐cycle labor market dynamics. It is commonly estimated from age variation in the covariance structure of earnings. In this study, I show that this approach is invalid and tends to deliver estimates of HIP that are biased upward. The reason is that any age variation in covariance structures can be rationalized by age‐dependent heteroscedasticity in the distribution of earnings shocks. Once one models such age effects flexibly the remaining identifying variation for HIP is the shape of the tails of lag profiles. Credible estimation of HIP thus imposes strong demands on the data since one requires many earnings observations per individual and a low rate of sample attrition. To investigate empirically whether the bias in estimates of HIP from omitting age effects is quantitatively important, I thus rely on administrative data from Germany on quarterly earnings that follow workers from labor market entry until 27 years into their career. To strengthen external validity, I focus my analysis on an education group that displays a covariance structure with qualitatively similar properties like its North American counterpart. I find that a HIP model with age effects in transitory, persistent and permanent shocks fits the covariance structure almost perfectly and delivers small and insignificant estimates for the HIP component. In sharp contrast, once I estimate a standard HIP model without age‐effects the estimated slope heterogeneity increases by a factor of thirteen and becomes highly significant, with a dramatic deterioration of model fit. I reach the same conclusions from estimating the two models on a different covariance structure and from conducting a Monte Carlo analysis, suggesting that my quantitative results are not an artifact of one particular sample.
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