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Construction of Register-based Commuting Measures
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Institute for Housing and Urban Research.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Economics. Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Institute for Housing and Urban Research. Univ Barcelona, IEB, CESifo, Barcelona, Spain; VATT, Helsinki, Finland.
Royal Swedish Acad Sci, Beijer Inst, POB 50005, SE-10405 Stockholm, Sweden;Royal Swedish Acad Sci, Global Econ Dynam & Biosphere, POB 50005, SE-10405 Stockholm, Sweden.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Social and Economic Geography.ORCID iD: 0000-0002-4536-9229
2018 (English)In: CESifo Economic Studies, ISSN 1610-241X, E-ISSN 1612-7501, Vol. 64, no 2, p. 292-326Article in journal (Refereed) Published
Abstract [en]

Early empirical studies in labour and urban economics addressing the role of commuting (on, e.g., wages and locational choice) have typically been confined to the use of survey data. Researchers are, however, increasingly getting access to large register databases with detailed information on where individuals live and work. A variety of methods have thus emerged to exploit the geocoded characteristic of the data to calculate commuting measures that go beyond simple Euclidean metrics. These methods involve new techniques that make use of geographic information system (GIS) routing software or application programming interfaces provided by third-party developers. This article provides (i) a brief survey of the small but emerging literature that uses geocoded register data to calculate different commuting measures, (ii) an example on how register-based commuting measures can be constructed along with descriptive evidence on how different commuting measures compare for different socio-economic groups using rich Swedish register data, (iii) a discussion of the pros and cons of different methods and measures, and (iv) a discussion of the potential of using mobile phone data to further improve registerbased commuting measures.

Place, publisher, year, edition, pages
OXFORD UNIV PRESS , 2018. Vol. 64, no 2, p. 292-326
Keywords [en]
commuting measures, geocoded register data, mobile phone data
National Category
Economics
Identifiers
URN: urn:nbn:se:uu:diva-358166DOI: 10.1093/cesifo/ify014ISI: 000434875100008OAI: oai:DiVA.org:uu-358166DiVA, id: diva2:1241958
Conference
CESifo Economic Studies Conference on On the Use of Geo-Coded Data in Economic Research, NOV 18-19, 2016, Munich, GERMANY
Funder
Ragnar Söderbergs stiftelseAvailable from: 2018-08-27 Created: 2018-08-27 Last updated: 2018-08-27Bibliographically approved

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Blind, InaDahlberg, MatzÖsth, John

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