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The accuracy of migration distance measures

Niedomysl, Thomas LU ; Ernstsson, Ulf and Fransson, Urban (2017) In Population Space and Place 23(1).
Abstract
The spatial dimension in the definition of internal migration usually refers to the distance someone has tomove to be regarded as a migrant. Lack of precise data on migration distances, however, has obliged migration researchers to use aggregate distance measures whose accuracy is largely unknown, raising potentially serious validity concerns for research. The aim of this paper is to examine the accuracy of standard aggregate measures of migration distance and to seek practicalmeans for improving their validity. Employing uniquely detailed data where individual migration distances for an entire country’s population have been measured with considerable accuracy, the paper compares variants of aggregate distance measures with the actual... (More)
The spatial dimension in the definition of internal migration usually refers to the distance someone has tomove to be regarded as a migrant. Lack of precise data on migration distances, however, has obliged migration researchers to use aggregate distance measures whose accuracy is largely unknown, raising potentially serious validity concerns for research. The aim of this paper is to examine the accuracy of standard aggregate measures of migration distance and to seek practicalmeans for improving their validity. Employing uniquely detailed data where individual migration distances for an entire country’s population have been measured with considerable accuracy, the paper compares variants of aggregate distance measures with the actual distance travelled by individual migrants. For the first time, the results shed empirical light on some of the weaknesses of aggregate migration distance measures and, more importantly, also point to their usefulness. The findings show that there is a significant potential to improve the accuracy of migration distance measures; practical suggestions for overcoming the difficulties of using aggregate distance measures are provided. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Population Space and Place
volume
23
issue
1
publisher
John Wiley & Sons
external identifiers
  • scopus:84937053634
  • wos:000396379300007
ISSN
1544-8452
DOI
10.1002/psp.1971
language
English
LU publication?
yes
id
da02a7da-9aee-43c2-990d-6a533eba5d91 (old id 5431204)
date added to LUP
2015-05-25 12:48:25
date last changed
2018-04-22 04:05:18
@article{da02a7da-9aee-43c2-990d-6a533eba5d91,
  abstract     = {The spatial dimension in the definition of internal migration usually refers to the distance someone has tomove to be regarded as a migrant. Lack of precise data on migration distances, however, has obliged migration researchers to use aggregate distance measures whose accuracy is largely unknown, raising potentially serious validity concerns for research. The aim of this paper is to examine the accuracy of standard aggregate measures of migration distance and to seek practicalmeans for improving their validity. Employing uniquely detailed data where individual migration distances for an entire country’s population have been measured with considerable accuracy, the paper compares variants of aggregate distance measures with the actual distance travelled by individual migrants. For the first time, the results shed empirical light on some of the weaknesses of aggregate migration distance measures and, more importantly, also point to their usefulness. The findings show that there is a significant potential to improve the accuracy of migration distance measures; practical suggestions for overcoming the difficulties of using aggregate distance measures are provided. },
  author       = {Niedomysl, Thomas and Ernstsson, Ulf and Fransson, Urban},
  issn         = {1544-8452},
  language     = {eng},
  number       = {1},
  publisher    = {John Wiley & Sons},
  series       = {Population Space and Place},
  title        = {The accuracy of migration distance measures},
  url          = {http://dx.doi.org/10.1002/psp.1971},
  volume       = {23},
  year         = {2017},
}