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Johan Klaesson

Researcher at Jönköping University

Publications -  77
Citations -  971

Johan Klaesson is an academic researcher from Jönköping University. The author has contributed to research in topics: Economies of agglomeration & Productivity. The author has an hindex of 15, co-authored 76 publications receiving 821 citations. Previous affiliations of Johan Klaesson include Research Institute of Industrial Economics.

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Commuters' non-linear response to time distances

TL;DR: Empirical observations imply that time distances influence the commuting behaviour in a non-linear way, such that the time sensitivity is much lower for very short and long distances, whereas intermediate distances display a high time sensitivity.
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Roots to Grow: Family Firms and Local Embeddedness in Rural and Urban Contexts:

TL;DR: The authors analyzes the nexus among business growth, ownership structure, and local embeddedness, i.e., the involvement of economic actors in a geographically bound social structure in rural areas.
Posted Content

The Sources of the Urban Wage Premium by Worker Skills

TL;DR: In this paper, the authors estimate the respective importance of spatial sorting and agglomeration economies in explaining the urban wage premium for workers with different sets of skills, and provide further evidence of spatial density bringing about productivity advantages primarily in contexts when problem-solving and interaction with others are important.
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The sources of the urban wage premium by worker skills: Spatial sorting or agglomeration economies?

TL;DR: In this article, the authors estimate the respective importance of spatial sorting and agglomeration economies in explaining the urban wage premium for workers with different sets of skills, and provide further evidence of spatial density bringing about productivity advantages primarily in contexts when problem-solving and interaction with others are important.
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How Local are Spatial Density Externalities? Neighbourhood Effects in Agglomeration Economies

TL;DR: Andersson et al. as discussed by the authors analyzed the geographic scale at which density externalities operate, using geocoded high-resolution data, focused on exogenously determined within-city squares (neighbourhoods) of 1'km2.