Ratio logo white

Ratio is an interdisciplinary research institute, with a research focus on the conditions of business and enterprise.

08-441 59 00info@ratio.se

802002-5212

Sveavägen 59 4trp

11359 Stockholm

Bankgiro: 512-6578

PublicationsSeminarsPeople

Popular

News archive
Publications
Seminars
People
Start
About
Contact us
Labour market research
Competitiveness research
Climate and environmental research
Swedish flag iconPå svenska
PublicationArticle (with peer review)

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

Abstract

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.

Details

Author
Karlsson, J., Andersson, F., Johansson, D., Lodefalk, M., & Poldahl, A.
Publication year
2018
Published in

International Journal of Entrepreneurship and Small Business

Related

  • Associate Professor

    Magnus Lodefalk

    magnus.lodefalk@oru.se

Similar content

Working paper

Working Paper No. 380. Artificial Intelligence, hiring and employment: Job postings evidence from Sweden.

Engberg, E., Hellsten, M., Javed, F., Lodefalk, M., Sabolová, R., Schroeder, S.
Download

Publication year

2024

Published in

Ratio Working Paper Series.

Abstract

This paper investigates the impact of artificial intelligence (AI) on hiring and employment, using the universe of job postings published by the Swedish Public Employment Service from 2014-2022 and universal register data for Sweden. We construct a detailed measure of AI exposure according to occupational content and find that establishments exposed to AI are more likely to hire AI workers. Survey data further indicate that AI exposure aligns with greater use of AI services. Importantly, rather than displacing non-AI workers, AI exposure is positively associated with increased hiring for both AI and non-AI roles. In the absence of substantial productivity gains that might account for this increase, we interpret the positive link between AI exposure and non-AI hiring as evidence that establishments are using AI to augment existing roles and expand task capabilities, rather than to replace non-AI workers.

Article (with peer review)

Stayin’ alive: Export credit guarantees and export survival

Lodefalk, M., Tang, A., & Yu, M.
Download

Publication year

2025

Published in

Applied Economics Letters

Abstract

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.

Article (with peer review)

Artificial intelligence, tasks, skills and wages: Worker-level evidence from Germany

Engberg, E., Koch, M., Lodefalk, M., & Schroeder, S.
Download

Publication year

2025

Published in

Research Policy

Abstract

As a first step, the study documents novel evidence on changes in tasks and skills within occupations in Germany over the past two decades. It further identifies a distinct relationship between ex ante occupational work content and ex post exposure to artificial intelligence (AI) and automation through robots. Workers in occupations with high AI exposure perform different activities and face different skill requirements than workers in occupations primarily exposed to robots, suggesting that AI and robots substitute for different types of tasks and skills. The study also shows that changes in the task and skill content of occupations are related to their initial exposure to these technologies. Finally, using individual labour market biographies, the analysis investigates the relationship between AI exposure and wages. By examining the dynamic effects of AI exposure over time, the study finds positive associations with wages, with nuanced differences across occupational groups, thereby providing further insight into the substitutability and augmentability of AI.

Show more