Print Email Facebook Twitter Modelling Neighbourhood Effects in Three Dutch Cities Controlling for Selection Title Modelling Neighbourhood Effects in Three Dutch Cities Controlling for Selection Author Troost, A.A. (TU Delft Urban Studies) van Ham, M. (TU Delft Urbanism; University of St Andrews) Janssen, H.J. (Max Planck Institute for the Study of Crime, Security and Law, Freiburg) Department Urbanism Date 2021 Abstract The non-random selection of people into neighbourhoods complicates the estimation of causal neighbourhood effects on individual outcomes. Measured neighbourhood effects could be the result of characteristics of the neighbourhood context, but they could also result from people selecting into neighbourhoods based on their preferences, income, and the availability of alternative housing. This paper examines how the neighbourhood effect on individual income is altered when geographic selection correction terms are added as controls, and how these results vary across three Dutch urban regions. We use a two-step approach in which we first model neighbourhood selection, and then include neighbourhood choice correction components in a model estimating neighbourhood effects on individual income. Using longitudinal register datasets for three major Dutch cities: Amsterdam, Utrecht and Rotterdam, and multilevel models, we analysed the effects for individuals who moved during a 5-year period. We show that in all cities, the effect of average neighbourhood income on individual income becomes much smaller after controlling for explicitly modelled neighbourhood selection. This suggests that studies that do not control for neighbourhood selection most likely overestimate the size of neighbourhood effects. For all models, the effects of neighbourhood income are strongest in Rotterdam, followed by Amsterdam and Utrecht. Subject IncomeNeighbourhood effectsNeighbourhood selectionSelection biasSocial inequality To reference this document use: http://resolver.tudelft.nl/uuid:0ac18ab9-9aa6-45d0-b394-0172243f5c4c DOI https://doi.org/10.1007/s12061-021-09411-5 ISSN 1874-463X Source Applied Spatial Analysis and Policy (online), 15 (2), 455-482 Part of collection Institutional Repository Document type journal article Rights © 2021 A.A. Troost, M. van Ham, H.J. Janssen Files PDF Troost2021_Article_Modell ... fectsI.pdf 847.24 KB Close viewer /islandora/object/uuid:0ac18ab9-9aa6-45d0-b394-0172243f5c4c/datastream/OBJ/view