Thor Berger

@thorberger.bsky.social

Economic Historian. Pro Futura Scientia Fellow at SCAS, Associate Professor at Lund University, and affiliate at the CEPR and IFN. Web: www.thorberger.se

A lot of the debate on AI and science focuses on whether LLMs can generate *new* ideas. Yet 20–80% of existing papers are never cited and presumably not read. By digesting vast uncited literatures, LLMs may meaningfully advance knowledge simply by absorbing *old* ideas.

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min institution söker en doktorand i ekonomisk historia, inom det spännande projektet "Från privat till offentlig försäkring: Värdet av kvinnors obetalda omsorgsarbete och dess ekonomiska och hälsomässiga utfall, 1900–1986": lu.varbi.com/what:job/job...

Doktorand i ekonomisk historia

Lunds universitet välkomnar sökande med olika bakgrunder och erfarenheter. Vi ser jämställdhet och mångfald som en styrka och en tillgång. Ekonomihögskolan vid Lunds universitet är en av åtta

lu.varbi.com

Happy to have received a grant from Handelsbanken for my project “Automation, Technological Change, and the Demand for Labor during the Industrial Revolution” that will use data on half a million industrial firms in Europe and the U.S. to study whether new technologies reduced the demand for skill.

After a month with Codex, Leontief’s point feels more prescient than ever: as automation shifts to cognitive tasks, it may become clear that we are not that different from horses after all.

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A tight link between productivity and population density is one of the most robust associations in urban economics. In that light, Scandinavia’s economic transformation before World War I is remarkable, since it occurred in some of Europe’s least densely populated regions.

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A decade later and I’m still a sucker for a railroad map: this shows the chance that working-class sons attained a white-collar occupation in adulthood in the early 20th century.

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JOB! I'm hiring a postdoc for 2 years on my ERC MaMo project. Looking for someone with strong quant methods, ongoing work close to the project's aims, and a desire to publish in sociology. Start flexible in the next 12 months. Formal call out shortly, but contact me first.

Markets and Mobility: How Employers Structure Economic OpportunityIntergenerational mobility, measuring the ability to achieve economic success regardless of family background, is a critical reflection of a society’s commitment to equality of opportunity. Rising income inequality has raised concerns about the potential erosion of upward mobility. While education has traditionally been viewed as the path to mobility, its transformative power is facing challenges in a rapidly evolving job market. This project reorients the focus of intergenerational mobility research by highlighting the labor market as an arena for the reproduction of advantage. It employs a comparative approach, using administrative data from four countries: Sweden, Austria, England, and the United States. It also incorporates evidence from a broader set of nations through cross-national surveys, longitudinal household surveys, labor force surveys, secondary data, and digital trace data. The project employs cutting-edge empirical methods, including quasi- experimental designs, event studies, within-family comparisons, decomposition analyses, counterfactual simulations, and diagnostic checks to rigorously assess the extent of inequalities in the labor market. The research investigates how family background influences the sorting of individuals to employers and workplaces, accounting for education and occupation, and explores variations in career progression within and between employers. It comprehensively catalogues and assesses mechanisms shaping workplace inequality, contributing to the development of social closure theory. Additionally, the project evaluates intervention strategies, encompassing both employer practices and government actions, to promote fair opportunity in the labor market.

Everyone talks about the "credibility revolution", but I think one of the most valuable shifts in econ over the last decade has been the rise of rigorous descriptive historical work like this in top journals:

The Quarterly Journal of Economics@qjeharvard.bsky.social · 10mo ago

Recently accepted by #QJE, “The Price of Housing in the United States, 1890–2006,” by Lyons (@ronanlyons), Shertzer (@econhist-allday), Gray (@econhistoryorbust), and Agorastos: doi.org/10.1093/qje/...

I really want to stay optimistic about how LLMs can revolutionize social science research. But the fact that I can't get GPT-5.2 to perform a simple word count really makes me wonder about the flurry of papers coming that heavily relies on LLMs for analyzing unstructured data.

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Examining the social construction of race during the US Reconstruction Era finds that people with the same skin tone were racialized based on their wealth, setting a path for racial stratification, from @aadukia.bsky.social, Hornbeck, Keniston, and Lualdi https://www.nber.org/papers/w33502

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