Elderly Left Behind? How Older Workers Can Participate in the Modern Labor Market
Oliver Falck, Valentin Lindlacher, Simon Wiederhold
EconPol Forum,
No. 5,
2022
Abstract
In her 2021 State of the Union address, European Commission’s President Ursula von der Leyen announced that “[the EU] will invest in 5G and fiber. But equally important is the investment in digital skills.” Indeed, the EU Recovery and Resilience Facility, which runs until 2026, has earmarked substantial funds to tackle the digital divide, in acknowledgment of the fact that the EU is not only missing ICT specialists but also that many Europeans do not have sufficient digital skills to thrive in today’s society and labor market. Many observers argue that older workers in particular lack digital skills, suffering more often from computer anxiety and showing lower computer self-efficacy (Czaja et al. 2006). This lack of skills hampers their employability and productivity in a technologically fast-changing world.
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BigTech Credit, Small Business, and Monetary Policy Transmission: Theory and Evidence
Yiping Huang, Xiang Li, Han Qiu, Dan Su, Changhua Yu
IWH Discussion Papers,
No. 18,
2022
Abstract
This paper provides both theoretical and empirical analyses of the differences between BigTech lenders and traditional banks in response to monetary policy changes. Our model integrates Knightian uncertainty into portfolio selection and posits that BigTech lenders possess a diminishing informational advantage with increasing firm size, resulting in reduced ambiguity when lending to smaller firms. The model suggests that the key distinction between BigTech lenders and traditional banks in response to shifts in funding costs, triggered by monetary policy changes, is more evident at the extensive margin rather than the intensive margin, particularly during periods of easing monetary policy. Using a micro-level dataset of small business loans from both types of lenders, we provide empirical support for our theoretical propositions. Our results show that BigTech lenders are more responsive in establishing new lending relationships in an easing monetary policy environment, while the differences in loan amounts are not statistically significant. We also discuss other loan terms and the implications of regulatory policies.
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Fallende Lohnquoten: Die Rolle von Technologie und Marktmacht
Matthias Mertens
Wirtschaft im Wandel,
No. 2,
2022
Abstract
Die Lohnquote, definiert als die Summe der Arbeitnehmerentgelte geteilt durch die Gesamtproduktion einer Volkswirtschaft, ist in den letzten 40 Jahren in vielen Ländern gefallen. Das Fallen der Lohnquote besitzt potenziell weitreichende Implikationen für das Ausmaß an Ungleichheit und für den Wohlstand von Arbeitnehmerinnen und Arbeitnehmern. Daneben kann eine fallende Lohnquote auch ein Anzeichen für einen Anstieg der Firmenmarktmacht sein. Anhand von Mikrodaten zum deutschen Verarbeitenden Gewerbe untersucht dieser Artikel, welche Rolle technologischer Wandel und steigende Firmenmarktmacht als Ursachen für das Fallen der Lohnquote spielen. Es zeigt sich, dass technologischer Wandel und ein Anstieg der Firmenmarktmacht, insbesondere auf Arbeitsmärkten, jeweils die Hälfte der fallenden Lohnquote im deutschen Verarbeitenden Gewerbe erklären. Daher können politische Maßnahmen, die Firmenmarktmacht reduzieren, nicht nur eine effizienzsteigernde Wirkung entfalten, sondern, als ein Nebeneffekt, auch den Anteil der Löhne an der Gesamtproduktion erhöhen.
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On the Employment Consequences of Automation and Offshoring: A Labor Market Sorting View
Ester Faia, Sébastien Laffitte, Maximilian Mayer, Gianmarco Ottaviano
Lili Yan Ing, Gene M. Grossman (eds), Robots and AI: A New Economic Era. Routledge: London,
2022
Abstract
We argue that automation may make workers and firms more selective in matching their specialized skills and tasks. We call this phenomenon “core-biased technological change”, and wonder whether something similar could be relevant also for offshoring. Looking for evidence in occupational data for European industries, we find that automation increases workers’ and firms’ selectivity as captured by longer unemployment duration, less skill-task mismatch, and more concentration of specialized knowledge in specific tasks. This does not happen in the case of offshoring, though offshoring reinforces the effects of automation. We show that a labor market model with two-sided heterogeneity and search frictions can rationalize these empirical findings if automation strengthens while offshoring weakens the assortativity between workers’ skills and firms’ tasks in the production process, and automation and offshoring complement each other. Under these conditions, automation decreases employment and increases wage inequality whereas offshoring has opposite effects.
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01.06.2022 • 12/2022
IWH welcomes top international researcher as head of new department
A powerful boost for the Halle Institute for Economic Research (IWH): Merih Sevilir, a world-renowned researcher on the interplay of financial and labour markets, is heading the Institute’s newest department as of today. Her expertise strengthens the unique selling points of the institute and can be expected to generate significant opportunities for policy insights.
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Micro-mechanisms behind Declining Labor Shares: Rising Market Power and Changing Modes of Production
Matthias Mertens
International Journal of Industrial Organization,
March
2022
Abstract
I derive a micro-founded framework showing how rising firm market power on product and labor markets and falling aggregate labor output elasticities provide three competing explanations for falling labor shares. I apply my framework to 20 years of German manufacturing sector micro data containing firm-specific price information to study these three distinct drivers of declining labor shares. I document a severe increase in firms’ labor market power, whereas firms’ product market power stayed comparably low. Changes in firm market power and a falling aggregate labor output elasticity each account for one half of the decline in labor's share.
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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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Technological Innovation and the Bank Lending Channel of Monetary Policy Transmission
Iftekhar Hasan, Xiang Li, Tuomas Takalo
IWH Discussion Papers,
No. 14,
2021
Abstract
This paper studies whether and how banks’ technological innovations affect the bank lending channel of monetary policy transmission. We first provide a theoretical model in which banks’ technological innovation relaxes firms’ earning-based borrowing constraints and thereby enlarges the response of banks’ lending to monetary policy changes. To test the empirical implications, we construct a patent-based measurement of bank-level technological innovation, which can specify the nature of technology and tell whether it is related to the bank’s lending business. We find that lending-related innovations significantly strengthen the transmission of the bank lending channel.
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Does Gender Affect Innovation? Evidence from Female Chief Technology Officers
Wassim Dbouk, Iftekhar Hasan, Nada Kobeissi, Qiang Wu, Li Zheng
Research Policy,
No. 9,
2021
Abstract
In this paper, we examine the impact of female Chief Technology Officers (CTOs) on corporate innovation. We find that firms with female CTOs are more innovative (as captured by both patent counts and patent citations) than firms with male CTOs. This effect is more pronounced for firms with a stronger innovation-supportive culture, firms with female CEOs, and when female CTOs are more powerful. Using mediation analyses, we further validate that female CTOs’ transformational leadership style is a plausible mechanism through which they affect innovation positively.
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Returns to ICT Skills
Oliver Falck, Alexandra Heimisch-Roecker, Simon Wiederhold
Research Policy,
No. 7,
2021
Abstract
How important is mastering information and communication technology (ICT) on modern labor markets? We answer this question with unique data on ICT skills tested in 19 countries. Our two instrumental-variable models exploit technologically induced variation in broadband Internet availability that gives rise to variation in ICT skills across countries and German municipalities. We find statistically and economically significant returns to ICT skills. For instance, an increase in ICT skills similar to the gap between an average-performing and a top-performing country raises earnings by about 8 percent. One mechanism driving positive returns is selection into occupations with high abstract task content.
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