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Construction of Register-based Commuting Measures

Blind, Ina, 1977- (author)
Uppsala universitet,Institutet för bostads- och urbanforskning (IBF)
Dahlberg, Matz, 1966- (author)
Uppsala universitet,Nationalekonomiska institutionen,Institutet för bostads- och urbanforskning (IBF),Univ Barcelona, IEB, CESifo, Barcelona, Spain; VATT, Helsinki, Finland
Engström, Gustav (author)
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
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Östh, John, 1968- (author)
Uppsala universitet,Kulturgeografiska institutionen
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 (creator_code:org_t)
2018-06-05
2018
English.
In: CESifo Economic Studies. - : OXFORD UNIV PRESS. - 1610-241X .- 1612-7501. ; 64:2, s. 292-326
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

SAMHÄLLSVETENSKAP  -- Ekonomi och näringsliv -- Nationalekonomi (hsv//swe)
SOCIAL SCIENCES  -- Economics and Business -- Economics (hsv//eng)

Keyword

commuting measures
geocoded register data
mobile phone data

Publication and Content Type

ref (subject category)
art (subject category)

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