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Olof Ejermo

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olof.ejermo@ekh.lu.se
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My research interests are broadly within areas of innovation and entrepreneurship. I am interested in process of spillovers of knowledge in science, innovation and entrepreneurship, for instance studied through mobility and migration. Connected to this is an interest in academic-industry interaction. My strive in economic historic research is to understand the role and development of foundations for industrial and economic development and link this to the contemporary economy.

I study innovation and entrepreneurship from an innovation economics point of view. My research draws theoretically more from evolutionary path-dependent and non-optimizing thinking. On the other hand, my empirical toolbox has strongly been inspired by the developments in applied econometrics towards causal identification strategies (cf. The Prize in Economic Sciences 2021 – Prize announcement (nobelprize.org)). My research is also strongly based on the collection and honing of own large-scale data, visible through the collection of three sets of data: inventor data on individual level, publication data by academics and entrepreneurship data in economic history.

Some of the broad questions that my research aims to answer are: How does knowledge spread? How do individuals interact and affect other? And some of the channels I’m interested in concern migration, mobility, innovation programs, infrastructure, and trade. 



Related publications

    Article (with peer review)

    Historical manufacturing census of Sweden: Data description and quality assessment

    Almås, I., Berger, T., Boppart, T., Burchardi, K., Ejermo, O., Eriksson, B., Larsson, A., Malmberg, H., Maukner, S., Olsson, M., & Ostermeyer, V. L.
    Download

    Publication year

    2025

    Published in

    Historical Methods: A Journal of Quantitative and Interdisciplinary History.

    Abstract

    This article presents a comprehensive database featuring the digitized, cleaned, geocoded, and linked data of the Swedish manufacturing censuses between 1863 and 1900. The data covers close to the universe of Swedish manufacturing activity and includes establishment-level information on workers, the sum of production value, and toll as output value. The article describes how the data was originally collected and the steps taken to go from raw data to the digital database. We discuss each variable’s definition, how it changed over time, and provide an assessment of the reliability of the data pertaining to each variable. We also assess the quality of the data by comparing it to various other data sources from the same time period. The level of detail in the data makes the users able to both detect and address potential weaknesses of the data. The database offers a unique resource for scholars to study the manufacturing sector during a time of significant transformation in the Swedish industry. To the best of our knowledge, this is among the earliest sources of annual, establishment-level data worldwide. We discuss potential applications for researchers and potential extensions of the database.

    Article (with peer review)

    Innovation in Malmö after the Öresund bridge

    Ejermo, O., Hussinger, K., Kalash, B., & Schubert, T.

    Publication year

    2022

    Published in

    Journal of Regional Science, 62(1), 5-20.

    Abstract

    We analyze the effect of the Öresund Bridge, a combined railway and motorway bridge between Swedish Malmö and the Danish capital Copenhagen, on inventive activity in the region of Malmö. Applying difference-in-difference estimation on individual-level data, our findings suggest that the Öresund Bridge led to a significant increase in the number of patents per individual in the Malmö region as compared with the two other major regions in Sweden, Gothenburg, and Stockholm. We show that a key mechanism is the attraction of highly qualified workers to the Malmö region following the construction of the bridge.

    The article in total can be accessed here.

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