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PublikationArtikel (med peer review)

Female Top Management in Family Firms and Non-Family Firms: Evidence from Total Population Data

Sammanfattning

We exploit information on ownership, management and kinship to study the representation of women in top management teams in Swedish family and non-family firms among domiciled limited liability firms over the years 2004 to 2010. The share of female top managers is analysed across listed and non-listed firms as well as across industries. We then estimate the likelihood that a woman is elected into the top management team in family and non-family firms using a probit regression model where we control for firm- and individual-level characteristics, including the gender distribution of the firm and kinship relations to existing board members and firm owners. We find that non-listed family firms are more likely to appoint female top managers, whereas we find no differences among listed firms. Moreover, we find that the gender composition and kinship structures of firms influence the appointment of female top managers.

Karlsson, J., Andersson, F., Johansson, D., Lodefalk, M., & Poldahl, A. (2018). Female Top Management in Family Firms and Non-Family Firms: Evidence from Total Population Data. International Journal of Entrepreneurship and Small Business, 35(3), 303-326.

Detaljer

Författare
Karlsson, J., Andersson, F., Johansson, D., Lodefalk, M., & Poldahl, A.
Publiceringsår
2018
Publicerat i

International Journal of Entrepreneurship and Small Business

Relaterat

  • Docent

    Magnus Lodefalk

    magnus.lodefalk@oru.se

Liknande innehåll

Rapporter

Who is afraid of AI? Who should be?

Engberg, E., Görg, H., Hellsten, M., Javed, F., Lodefalk, M., Längkvist, M., & ..

Publiceringsår

2026

Publicerat i

Kiel Policy Brief, 2026.

Sammanfattning

  • Occupations that are highly cognitive, non-physical, and low in social interaction — typically higher-skill white-collar roles such as data analysts, software developers, and translators — turn out to be highly AI-exposed
  • Occupations requiring manual dexterity or intensive interpersonal contact — such as construction labourers or nursing aides — remain among the least exposed to current AI technologies
  • Aggregate occupational exposure to AI has risen markedly since 2010, with especially rapid gains in the late 2010s and early 2020s
  • Our baseline estimates show no detectable effect of AI exposure on total firm employment, while it is associated with clear skill upgrading
    1. Engberg, E., Görg, H., Hellsten, M., Javed, F., Lodefalk, M., Längkvist, M., & .. (2026). Who is afraid of AI? Who should be?. Kiel Policy Brief, 2026.
    Working paper

    Ratio Working Paper No. 388: Same Storm, Different Boats: Generative AI and the Age Gradient in Hiring

    Lodefalk, M., Löthman, L., Koch, M., & Engberg, E.

    Publiceringsår

    2026

    Publicerat i

    Ratio Working Paper Series.

    Sammanfattning

    We show that the age composition of employment within Swedish employers shifts after the arrival of generative AI, with no corresponding reduction in aggregate labour demand. Using 4.6 million job advertisements from Sweden’s largest recruitment platform, we find that the broad decline in postings since 2022 aligns with monetary tightening rather than AI, exploiting Sweden’s seven-month gap between the Riksbank’s first rate hike and the launch of ChatGPT as a timing test. We then use full-population employer–employee register data and an employer-level difference-in-differences design to estimate how AI exposure affects employment composition across six age groups. An event study documents an accelerating decline in employment of 22–25-year-olds in high-AI-exposure occupations, reaching 5.5 per cent by early 2025 relative to less exposed occupations within the same employers, while employment of workers over 50 rose by 1.3 per cent. The widening age gradient suggests that generative AI reshapes hiring composition rather than aggregate demand, with the adjustment burden falling disproportionately on entry-level workers.

    Artikel (med peer review)

    Stayin’ alive: Export credit guarantees and export survival

    Lodefalk, M., Tang, A., & Yu, M.
    Ladda ner

    Publiceringsår

    2025

    Publicerat i

    Applied Economics Letters

    Sammanfattning

    We use survival analysis to analyse the impact of export credit guarantees on firms’ export duration using granular Swedish panel data at the firm-country and firm-country-product levels. The estimation results show that firms’ export survival substantially increases with guarantees, at both levels. The associations are particularly strong for smaller firms and contracts as well as in trade with riskier markets. The findings have implications for policies to promote long-run export growth.

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