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Construction of register-based commuting measures

Blind, Ina LU ; Dahlberg, Matz ; Engström, Gustav LU and Östh, John (2018) In CESifo Economic Studies 64(2). p.292-326
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... (More)

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.

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author
; ; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Commuting measures, Geocoded register data, Mobile phone data
in
CESifo Economic Studies
volume
64
issue
2
pages
35 pages
publisher
Oxford University Press
external identifiers
  • scopus:85048520129
ISSN
1610-241X
DOI
10.1093/cesifo/ify014
language
English
LU publication?
no
id
d9326a3b-8023-43a1-9ff7-f7b5257a1354
date added to LUP
2019-05-21 13:21:32
date last changed
2020-01-13 01:50:13
@article{d9326a3b-8023-43a1-9ff7-f7b5257a1354,
  abstract     = {<p>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.</p>},
  author       = {Blind, Ina and Dahlberg, Matz and Engström, Gustav and Östh, John},
  issn         = {1610-241X},
  language     = {eng},
  month        = {06},
  number       = {2},
  pages        = {292--326},
  publisher    = {Oxford University Press},
  series       = {CESifo Economic Studies},
  title        = {Construction of register-based commuting measures},
  url          = {http://dx.doi.org/10.1093/cesifo/ify014},
  doi          = {10.1093/cesifo/ify014},
  volume       = {64},
  year         = {2018},
}