@article{21631904622c4e8b9e6cb6c31155dc61,
title = "Endogenous local labour markets, regional aggregation and agglomeration economies",
abstract = "We examine the role of spatial unit size in measuring the urban wage premium. Using Dutch administrative data, we define local labour markets (LLMs) based on employees{\textquoteright} commuting outcomes, gender and educational attainment. We show that high-educated employees and male employees have a relatively large LLM. Using a continuum of regional aggregations, we find that urban wage premium estimates increase over the level of aggregation, also for different subgroups of employees. We show that the modifiable areal unit problem (MAUP) does not explain this pattern, consistent with stronger agglomeration externalities at higher regional aggregation levels.",
keywords = "urban wage premium, modifiable areal unit problem (MAUP), local labour markets, agglomeration, gender, education",
author = "Jordy Meekes and Wolter Hassink",
note = "Funding Information: We thank the seminar participants at the 9th European Meeting of the Urban Economics Association, 2018 SMU Conference on Urban and Regional Economics, the 13th Meeting of the Urban Economics Association, the Microeconomic Studies Function of the Federal Reserve Bank of New York, The University of Melbourne, the 32nd Annual Conference of the European Society for Population Economics, and Utrecht University School of Economics. We also thank Bram van Besouw, Maarten Goos, Henri de Groot, Ross Hickey, Eric Mengus, Jos van Ommeren, Frank van Oort, Roberto Pinheiro, J{\o}rn Ratts{\o}, Vincent Schippers and Coen Teulings for their insightful comments. We also thank Dieter F. Kogler and two anonymous reviewers, whose valuable comments substantially improved the quality of the paper. This article is based on both a chapter in the dissertation of Meekes (2019) and a previous discussion paper (Meekes & Hassink, 2019). Publisher Copyright: {\textcopyright} 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.",
year = "2023",
month = jan,
doi = "10.1080/00343404.2022.2050893",
language = "English",
volume = "57",
pages = "13--25",
journal = "Regional Studies",
issn = "0034-3404",
publisher = "Routledge",
number = "1",
}