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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Financial Technologies and the Effectiveness of Monetary Policy Transmission
Iftekhar Hasan, Boreum Kwak, Xiang Li
Abstract
This study investigates whether and how financial technologies (FinTech) influence the effectiveness of monetary policy transmission. We use an interacted panel vector autoregression model to explore how the effects of monetary policy shocks change with regional-level FinTech adoption. Results indicate that FinTech adoption generally mitigates the transmission of monetary policy to real GDP, consumer prices, bank loans, and housing prices, with the most significant impact observed in the weakened transmission to bank loan growth. The relaxed financial constraints, regulatory arbitrage, and intensified competition are the possible mechanisms underlying the mitigated transmission.
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01.07.2020 • 11/2020
New Horizon 2020 project: The Challenge of the Social Impact of Energy Transitions
Funded by the European Commission’s Framework Programme Horizon 2020, the ENTRANCES project recently closed its kick-off meeting with a high scientific and institutional participation, and taking on the challenge of modeling the social impact of the energy transition.
Oliver Holtemöller
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Automation, Globalization and Vanishing Jobs: A Labor Market Sorting View
Ester Faia, Sébastien Laffitte, Maximilian Mayer, Gianmarco Ottaviano
IZA Discussion Paper,
No. 13267,
2020
Abstract
We show, theoretically and empirically, that the effects of technological change associated with automation and offshoring on the labor market can substantially deviate from standard neoclassical conclusions when search frictions hinder efficient assortative matching between firms with heterogeneous tasks and workers with heterogeneous skills. Our key hypothesis is that better matches enjoy a comparative advantage in exploiting automation and a comparative disadvantage in exploiting offshoring. It implies that automation (offshoring) may reduce (raise) employment by lengthening (shortening) unemployment duration due to higher (lower) match selectivity. We find empirical support for this implication in a dataset covering 92 occupations and 16 sectors in 13 European countries from 1995 to 2010.
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12.02.2020 • 2/2020
Causes of populism: IWH begins international research project
Is the increasing strength of populist parties due to economic causes? The Halle Institute for Economic Research (IWH) is set to play a leading role in scrutinising this controversial question with immediate effect, together with researchers from England, Scotland and the Czech Republic. The Volkswagen Foundation is funding this interdisciplinary project to the tune of almost one million euro for four years.
Steffen Müller
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18.12.2018 • 22/2018
IWH leads large scale EU research project on productivity
Is productivity growth slowing in industrialised countries? And if so, why? From the start of 2019, the Halle Institute for Economic Research (IWH) will be addressing these questions as the coordinator of a new EU project. Economists and statistics experts from nine European partners will collaborate on the three-year project, entitled MICROPROD. With a total budget of just under three million euros, it is the IWH’s largest EU project to date.
Steffen Müller
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Lohnunterschiede zwischen Betrieben in Ost- und Westdeutschland: Ausmaß und mögliche Erklärungsfaktoren. Ergebnisse aus dem IAB-Betriebspanel 2017
Steffen Müller, Eva Dettmann, Daniel Fackler, Georg Neuschäffer, Viktor Slavtchev, Ute Leber, Barbara Schwengler
IAB-Forschungsbericht 6/2018,
2018
Abstract
The economic situation in German establishments improved even further in 2017. The development of wages, however, reflects this economic growth only partly. Compared to 1997, the wage differential between large and small establishments increased considerably – with substantially lower wages paid in East Germany in general. The wage differential of about 19 percent between East and West Germany can to some extent be explained in a multivariate analysis (Blinder-Oaxaca decomposition) showing that the main cause for the wage gap is the productivity gap between East German and West German establishments; other structural heterogeneities like sector composition, industrial relations and size structure seem not to contribute to an explanation of this gap. The overall positive economic development in Germany is associated with a further growth in total employment and with increased labor market dynamics, especially regarding employee turnover. Turnover rates, however, are very heterogeneous among sectors, ranging from 23 percent in the accommodation and food service sector and less than five percent in public administration. Also the demand for skilled personnel continued to grow. Yet for the first time, not even two thirds of the posted job vacancies could be filled in 2017. With over fifty percent, this non-occupancy quota is particularly high in the construction industry. Also small and very small establishments face serious recruitment problems. The structure of formal occupational skill requirements did not change very much over recent years, but the increasing use of digital technologies changes everyday job requirements and may lead to a rising workload for employees. Looking at the personnel structure in the German economy, a growing share of atypical employment becomes apparent, especially in form of part-time jobs. The proportion of marginal employment remains relatively stable and is comparatively high in sectors with less specific knowledge requirements and strong cyclical and/or seasonal fluctuations like is the case in accommodation and food service sector or personal services sector. Since 2010, the proportion of establishments authorized to provide in-company vocational training has declined constantly and now accounts for 53 percent of the establishments in Germany. About one half of these establishments do actually train apprentices. The share of vacant apprenticeships further increased in 2017 to about one quarter of all apprenticeships offered, in East Germany even to more than one third. As in recent years, the share of establishments supporting further training of their employees remained stable at about fifty percent and the proportion of employees participating in training is still about one third. In East Germany these figures prove to be slightly higher.
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Explaining Wage Losses after Job Displacement: Employer Size and Lost Firm Rents
Daniel Fackler, Steffen Müller, Jens Stegmaier
Abstract
Why does job displacement, e.g., following import competition, technological change, or economic downturns, result in permanent wage losses? The job displacement literature is silent on whether wage losses after job displacement are driven by lost firm wage premiums or worker productivity depreciations. We therefore estimate losses in wages and firm wage premiums. Premiums are measured as firm effects from a two-way fixed-effects approach, as described in Abowd, Kramarz, and Margolis (1999). Using German administrative data, we find that wage losses are, on average, fully explained by losses in firm wage premiums and that premium losses are largely permanent. We show that losses in wages and premiums are minor for workers displaced from small plants and strongly increase with pre-displacement firm size, which provides an explanation for the large and persistent wage losses that have been found in previous studies mostly focusing on displacement from large employers.
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Skills, Earnings, and Employment: Exploring Causality in the Estimation of Returns to Skills
Franziska Hampf, Simon Wiederhold, Ludger Woessmann
Large-scale Assessments in Education,
No. 12,
2017
Abstract
Ample evidence indicates that a person’s human capital is important for success on the labor market in terms of both wages and employment prospects. However, unlike the efforts to identify the impact of school attainment on labor-market outcomes, the literature on returns to cognitive skills has not yet provided convincing evidence that the estimated returns can be causally interpreted. Using the PIAAC Survey of Adult Skills, this paper explores several approaches that aim to address potential threats to causal identification of returns to skills, in terms of both higher wages and better employment chances. We address measurement error by exploiting the fact that PIAAC measures skills in several domains. Furthermore, we estimate instrumental-variable models that use skill variation stemming from school attainment and parental education to circumvent reverse causation. Results show a strikingly similar pattern across the diverse set of countries in our sample. In fact, the instrumental-variable estimates are consistently larger than those found in standard least-squares estimations. The same is true in two “natural experiments,” one of which exploits variation in skills from changes in compulsory-schooling laws across U.S. states. The other one identifies technologically induced variation in broadband Internet availability that gives rise to variation in ICT skills across German municipalities. Together, the results suggest that least-squares estimates may provide a lower bound of the true returns to skills in the labor market.
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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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