Browsing NTNU Open by Author "Leknes, Stefan"
Now showing items 1-6 of 6
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Assortative labor matching, city size, and the education level of workers
Leknes, Stefan; Rattsø, Jørn; Stokke, Hildegunn Ekroll (Peer reviewed; Journal article, 2022)We investigate the heterogeneity of assortative labor matching with respect to geography, skills, and tasks. Our contribution is to separate plant quality by education level and occupation tasks using the AKM-model. We ... -
Essays on urbanization and population scale effects
Leknes, Stefan (Doctoral thesis at NTNU;2015:332, Doctoral thesis, 2015)The theme that unifies the essays in this dissertation is the focus on population scale effects; specifically, I investigate the relationship between population scale and economic outcomes like quality of life, probability ... -
For whom are cities good places to live?
Carlsen, Fredrik; Leknes, Stefan (Journal article; Peer reviewed, 2022)In this paper we use survey data to examine heterogeneity in the urban gradient of life satisfaction. Are some sociodemographic groups more satisfied in cities than others? We find that young persons with tertiary education ... -
Hvordan påvirkes kvaliteten i utdanningssektoren av konkurranse fra privatskoler?: En empirisk undersøkelse med PISA 2009 data fra OECD-land
Leknes, Stefan (Master thesis, 2011) -
Mobility and urban quality of life: a comparison of the hedonic pricing and subjective well-being methods
Carlsen, Fredrik; Leknes, Stefan (Journal article; Peer reviewed, 2020)There is no consensus about the relation between urban scale and quality of life. Quality of life in Oslo and the rest of Norway is compared using two commonly employed methods to measure geographical variation in quality ... -
The paradox of the unhappy, growing city: Reconciling evidence
Carlsen, Fredrik; Leknes, Stefan (Peer reviewed; Journal article, 2022)This paper attempts to explain why some large cities in developed countries score low on indices of happiness/life satisfaction, while at the same time experiencing population growth. Using survey and register data to study ...