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Climate Change Concerns and Information Spillovers from Socially-connected Friends
Maximilian Mayer
IWH Discussion Papers,
Nr. 2,
2023
Abstract
This paper studies the role of social connections in shaping individuals’ concerns about climate change. I combine granular climate data, region-level social network data and survey responses for 24 European countries in order to document large information spillovers. Individuals become more concerned about climate change when their geographically distant friends living in sociallyconnected regions have experienced large increases in temperatures since 1990. Exploring the heterogeneity of the spillover effects, I uncover that the learning via social networks plays a central role. Further, results illustrate the important role of social values and economic preferences for understanding how information spillovers affect individual concerns.
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Productivity, Managers’ Social Connections and the Financial Crisis
Iftekhar Hasan, Stefano Manfredonia
Journal of Banking and Finance,
August
2022
Abstract
This paper investigates whether managers’ personal connections help corporate productivity to recover after a negative economic shock. Leveraging the heterogeneity in the severity of the financial crisis across different sectors, the paper reports that (i) the financial crisis had a negative effect on within-firm productivity, (ii) the effect was long-lasting and persistent, supporting a productivity-hysteresis hypothesis, and (iii) managers’ personal connections allowed corporations to recover from this productivity slowdown. Among the possible mechanisms, we show that connected managers operating in affected sectors foster productivity recovery through higher input cost efficiency and better access to the credit market, as well as more efficient use of labour and capital.
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The Value of Firm Networks: A Natural Experiment on Board Connections
Ester Faia, Maximilian Mayer, Vincenzo Pezone
SAFE Working Papers,
Nr. 269,
2022
Abstract
We present causal evidence on the effect of boardroom networks on firm value and compensation policies. We exploit a ban on interlocking directorates of Italian financial and insurance companies as exogenous variation and show that firms that lose centrality in the network experience negative abnormal returns around the announcement date. The key driver of our results is the role of boardroom connections in reducing asymmetric information. The complementarities with the input-output and cross-ownership networks are consistent with this channel. Using hand-collected data, we also show that network centrality has a positive effect on directors’ compensation, providing evidence of rent sharing.
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The Impact of Overconfident Customers on Supplier Firm Risks
Yiwei Fang, Iftekhar Hasan, Chih-Yung Lin, Jiong Sun
Journal of Economic Behavior and Organization,
May
2022
Abstract
Research has shown that firms with overconfident chief executive officers (CEOs) tend to overinvest and are exposed to high risks due to unrealistically optimistic estimates of their firms’ future performance. This study finds evidence that overconfident CEOs also affect suppliers’ risk taking. Specifically, serving overconfident customers can lead to high supplier risks, measured by stock volatility, idiosyncratic risk, and market risk. The effects are pronounced when customers aggressively invest in research and development (R&D). Our results are robust after addressing self-selection bias and using different CEO overconfidence measures. We also document some real effects of customer CEO overconfidence on suppliers.
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Bank Failures, Local Business Dynamics, and Government Policy
Salvador Contreras, Manthos D. Delis, Amit Ghosh, Iftekhar Hasan
Small Business Economics,
Nr. 4,
2022
Abstract
Using MSA-level data over 1994–2014, we study the effect of bank failures on local business dynamics, in the form of net business formation and net job creation. We find that at least one bank failure in the metropolitan statistical area (MSA) with the mean population prevents approximately 475 net businesses from forming in that area, compared with MSAs that experience no bank failures, ceteris paribus. The equivalent effect on net job creation is 16,433 net job losses. Our results are even stronger for small businesses, which are usually more dependent on bank-firm relationships. These effects point to significant welfare losses stemming from bank failures, highlighting an important role for government intervention. We show that the Troubled Asset Relief Program (TARP) is effective in reducing the negative effects of bank failures on local business dynamics. This positive effect of TARP is quite uniform across small and large firms.
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International Trade Barriers and Regional Employment: The Case of a No-Deal Brexit
Hans-Ulrich Brautzsch, Oliver Holtemöller
Journal of Economic Structures,
Nr. 11,
2021
Abstract
We use the World Input–Output Database (WIOD) combined with regional sectoral employment data to estimate the potential regional employment effects of international trade barriers. We study the case of a no-deal Brexit in which imports to the United Kingdom (UK) from the European Union (EU) would be subject to tariffs and non-tariff trade costs. First, we derive the decline in UK final goods imports from the EU from industry-specific international trade elasticities, tariffs and non-tariff trade costs. Using input–output analysis, we estimate the potential output and employment effects for 56 industries and 43 countries on the national level. The absolute effects would be largest in big EU countries which have close trade relationships with the UK, such as Germany and France. However, there would also be large countries outside the EU which would be heavily affected via global value chains, such as China, for example. The relative effects (in percent of total employment) would be largest in Ireland followed by Belgium. In a second step, we split up the national effects on the NUTS-2 level for EU member states and additionally on the county (NUTS-3) level for Germany. The share of affected workers varies between 0.03% and 3.4% among European NUTS-2 regions and between 0.15% and 0.4% among German counties. A general result is that indirect effects via global value chains, i.e., trade in intermediate inputs, are more important than direct effects via final demand.
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Measuring and Accounting for Innovation in the Twenty-First Century
Carol Corrado, Jonathan Haskel, Javier Miranda, Daniel Sichel
NBER Studies in Income and Wealth,
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies.
This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution.
The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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Introduction to "Measuring and Accounting for Innovation in the Twenty-First Century"
Javier Miranda
Measuring and Accounting for Innovation in the Twenty-First Century,
NBER Studies in Income and Wealth, Vol 78 /
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies. This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution. The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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