Construction of register-based commuting measures

Ina Blind, Matz Dahlberg, Gustav Engström, John Östh

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)

Abstract

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.

Original languageEnglish
Pages (from-to)292-326
Number of pages35
JournalCESifo Economic Studies
Volume64
Issue number2
DOIs
Publication statusPublished - 2018 Jun 1
Externally publishedYes

Subject classification (UKÄ)

  • Infrastructure Engineering

Keywords

  • Commuting measures
  • Geocoded register data
  • Mobile phone data

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