The Aggregate Effects of the Decline of Disruptive Innovation
Richard Bräuer
IWH Discussion Papers,
No. 22,
2023
Abstract
This paper proposes a model that explains both recently documented facts about the decline of disruptive innovation and the decline in productivity growth as the result of large firms trying to monopolize technologies by poaching inventors from disruptive activities. To come to this conclusion, the paper builds an endogenous growth model with inventor labor markets on which firms can interact strategically. To inform this model, I perform an event study of the effect of disruptive inventions on their technology fields using PATSTAT (1980-2010). I document that technology classes without disruption slowly trend towards incrementalism and that after a disruption, more patents get registered and research becomes less incremental.
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Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one...
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Spillover Effects in Empirical Corporate Finance
Tobias Berg, Markus Reisinger, Daniel Streitz
Journal of Financial Economics,
No. 3,
2021
Abstract
Despite their importance, the discussion of spillover effects in empirical research often misses the rigor dedicated to endogeneity concerns. We analyze a broad set of workhorse models of firm interactions and show that spillovers naturally arise in many corporate finance settings. This has important implications for the estimation of treatment effects: i) even with random treatment, spillovers lead to a complicated bias, ii) fixed effects can exacerbate the spillover-induced bias. We propose simple diagnostic tools for empirical researchers and illustrate our guidance in an application.
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05.10.2016 • 42/2016
International young researchers at IWH
Scientific insights do not stop at national borders and have to be equally accessible for women and men. “Whoever wants to do world-class research has to look beyond his own nose”, says Reint E. Gropp, president of the Halle Institute for Economic Research (IWH) – Member of the Leibniz Association. He himself received his PhD and did research in the US for several years.
Reint E. Gropp
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Towards Unrestricted Public Use Business Microdata: The Synthetic Longitudinal Business Database
John M. Abowd, Ron S. Jarmin, Satkartar K. Kinney, Javier Miranda, Jerome P. Reiter, Arnold P. Reznek
International Statistical Review,
No. 3,
2011
Abstract
In most countries, national statistical agencies do not release establishment-level business microdata, because doing so represents too large a risk to establishments’ confidentiality. One approach with the potential for overcoming these risks is to release synthetic data; that is, the released establishment data are simulated from statistical models designed to mimic the distributions of the underlying real microdata. In this article, we describe an application of this strategy to create a public use file for the Longitudinal Business Database, an annual economic census of establishments in the United States comprising more than 20 million records dating back to 1976. The U.S. Bureau of the Census and the Internal Revenue Service recently approved the release of these synthetic microdata for public use, making the synthetic Longitudinal Business Database the first-ever business microdata set publicly released in the United States. We describe how we created the synthetic data, evaluated analytical validity, and assessed disclosure risk.
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Ageing and Labour Markets: An Analysis on the effect of worker’s age on productivity, innovation and mobility
Lutz Schneider
Technische Universität Dresden. Dissertation,
2011
Abstract
The present study analyses the labour market effect of workers’ ageing. Explicitly, the impact of age on productivity and wages, on innovation as well as on mobility is explored empirically. The econometric analyses are based on firm and employment data from the Institute for Employment Research (IAB) and, thus, refer to the labour market of Germany. Regarding the productivity and wage effects of age the econometric results confirm a positive correlation between firm productivity and the share of middle-aged employees (41-50 years old) within the manufacturing sector. Hence, the results provide evidence of an inverted u-shaped age-productivity profile in this sector also found for other countries. Furthermore, age-wage and age-productivity profiles seem to follow unequal patterns. Compared to the group of the 15-30 and the 51 and above years old workers the group of middle-aged employees earn less than a productivity based wage scheme would require. In terms of age effects on innovativeness the micro-econometric analysis again reveals an inverted u-shaped profile. Workers aged around 40 years seem to act as key driver for innovation activities within firms. An additional finding concerns the impact of age diversity on innovation. The expected positive effect of a heterogeneous age structure is not confirmed by the data. With respect to labour market mobility results are in favour of a negative correlation between age and job mobility either in terms of changing professions or firms. The estimation of a multi equation model verifies that expected wages of older workers do not or only marginally increase due to job mobility, so, financial incentives to change jobs are very low. Yet, even after controlling the absent wage incentive older employees still remain more immobile than younger workers. Altogether, these results should not only be of academic interest but also informative for actors on the firm and the governmental level. Both sides are asked to cope with the challenges of demographic change. Only by maintaining productivity and innovativeness until old ages the necessary resources can be generated to preserve an economy’s prosperity even if the share of non-active population is increasing by demographic developments. Secondly, enhancing productivity is essential to ensure employability of older persons and to sustain the size of workforce even in the circumstances of an ageing economy.
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Does Qualification Drive Innovation? A Microeconometric Analysis Using Linked-employer-employee Data
Bianca Brandenburg, Jutta Günther, Lutz Schneider
IWH Discussion Papers,
No. 10,
2007
Abstract
Degree-level science and engineering skills as well as management and leadership skills are often referred to as a source of innovative activities within companies. Broken down by sectoral innovation patterns, this article examines the role of formal education and actual occupation for product innovation performance in manufacturing firms within a probit model. It uses unique micro data for Germany (LIAB) that contain detailed information about innovative activities and the qualification of employees. We find significant differences of the human capital endowment between sectors differentiated according to the Pavitt classification. Sectors with a high share of highly skilled employees engage in product innovation above average (specialized suppliers and science based industries). According to our hitherto estimation results, within these sectors the share of highly skilled employees does not, however, substantially increase the probability to be an innovative firm.
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