13.04.2022 • 8/2022
From Pandemic to Energy Crisis: Economy and Politics under Permanent Stress
The German economy is steering through difficult waters and faces the highest inflation rates in decades. In their spring report, the leading German economic research institutes revise their outlook for this year significantly downward. The recovery from the COVID-19 crisis is slowing down as a result of the war in Ukraine, but remains on track. The institutes expect GDP to increase by 2.7% and 3.1% in 2022 and 2023 respectively. In the event of an immediate interruption to Russian gas supplies, a total of 220 billion euros in German economic output would be at risk in both years.
Oliver Holtemöller
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The Impact of Active Aggregate Demand on Utilisation-adjusted TFP
Konstantin Gantert
IWH Discussion Papers,
No. 9,
2022
Abstract
Non-clearing goods markets are an important driver of capacity utilisation and total factor productivity (TFP). The trade-off between goods prices and household search effort is central to goods market matching and therefore drives TFP over the business cycle. In this paper, I develop a New-Keynesian DSGE model with capital utilisation, worker effort, and expand it with goods market search-and-matching (SaM) to model non-clearing goods markets. I conduct a horse-race between the different capacity utilisation channels using Bayesian estimation and capacity utilisation survey data. Models that include goods market SaM improve the data fit, while the capital utilisation and worker effort channels are rendered less important compared to the literature. It follows that TFP fluctuations increase for demand and goods market mismatch shocks, while they decrease for technology shocks. This pattern increases as goods market frictions increase and as prices become stickier. The paper shows the importance of non-clearing goods markets in explaining the difference between technology and TFP over the business cycle.
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Who Creates New Firms When Local Opportunities Arise?
Shai B. Bernstein, Emanuele Colonnelli, Davide Malacrino, Timothy McQuade
Journal of Financial Economics,
No. 1,
2022
Abstract
We examine the characteristics of the individuals who become entrepreneurs when local opportunities arise. We identify local demand shocks by linking fluctuations in global commodity prices to municipality-level agricultural endowments in Brazil. We find that the firm creation response is mostly driven by young and skilled individuals. The characteristics of these responsive entrepreneurs are significantly different from those of average entrepreneurs in the economy. By structurally estimating a novel two-sector model of a local economy, we highlight how the demographic composition of the local population can significantly affect the entrepreneurial responsiveness of the economy.
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The Viral Effects of Foreign Trade and Supply Networks in the Euro Area
Virginia di Nino, Bruno Veltri
IWH-CompNet Discussion Papers,
No. 4,
2020
Abstract
Containment measures of COVID-19 have generated a chain of supply and demand shocks around the globe with heterogeneous fallout across industries and countries. We quantify their transmission via foreign trade with a focus on the euro area where deep firms integration within regional supply chains and strong demand linkages act as a magnification mechanism. We estimate that spillover effects in the euro area from suppression measures in one of the five main euro area countries range between 15-28% the size of the original shock; negative foreign demand shocks depress euro area aggregate activity by about a fifth the size of the external shock and a fourth of the total effect is due to indirect propagation through euro area supply chain. Last, reopening to regional tourism softened the contraction of aggregate activity due to travel and tourism bans by about a third in the euro area. Our findings suggest that enhanced coordination of recovery plans would magnify their beneficial effects.
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Borrowers Under Water! Rare Disasters, Regional Banks, and Recovery Lending
Michael Koetter, Felix Noth, Oliver Rehbein
Journal of Financial Intermediation,
July
2020
Abstract
We show that local banks provide corporate recovery lending to firms affected by adverse regional macro shocks. Banks that reside in counties unaffected by the natural disaster that we specify as macro shock increase lending to firms inside affected counties by 3%. Firms domiciled in flooded counties, in turn, increase corporate borrowing by 16% if they are connected to banks in unaffected counties. We find no indication that recovery lending entails excessive risk-taking or rent-seeking. However, within the group of shock-exposed banks, those without access to geographically more diversified interbank markets exhibit more credit risk and less equity capital.
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Entrenchment through Corporate Social Responsibility: Evidence from CEO Network Centrality
Salim Chahine, Yiwei Fang, Iftekhar Hasan, Mohamad Mazboudi
International Review of Financial Analysis,
2019
Abstract
This paper investigates whether CEOs with high network centrality entrench themselves when taking CSR decisions and how that affects firm value. Evidence portrays that CSR in firms with more central CEOs is negatively associated with firm-value, and this association is mitigated by better corporate governance mechanisms and by geographic areas of higher social capital. This negative association is lower during disasters which reflect periods of positive exogenous shocks to the societal demand for CSR. Furthermore, CSR by more central CEOs is positively associated with future increases in CEO compensation and future improvement in a CEO's network position. The findings reveal that, in general, central CEOs use CSR to entrench themselves and gain private benefits rather than increase shareholder value.
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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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Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks
Christiane Baumeister, James D. Hamilton
American Economic Review,
No. 5,
2019
Abstract
Traditional approaches to structural vector autoregressions (VARs) can be viewed as special cases of Bayesian inference arising from very strong prior beliefs. These methods can be generalized with a less restrictive formulation that incorporates uncertainty about the identifying assumptions themselves. We use this approach to revisit the importance of shocks to oil supply and demand. Supply disruptions turn out to be a bigger factor in historical oil price movements and inventory accumulation a smaller factor than implied by earlier estimates. Supply shocks lead to a reduction in global economic activity after a significant lag, whereas shocks to oil demand do not.
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01.04.2019 • 8/2019
Bank profitability increases after eliminating consolidation barriers
When two banks merge because political consolidation barriers are abolished, the combined entity is considerably more profitable and useful to the real economy. This is the headline result of an analysis of compulsory savings banks mergers carried out by the Halle Institute for Economic Research (IWH). The study yields important insights for the German and the European banking market.
Michael Koetter
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