The Danish Dispersal Policy on Refugee Immigrants 1986-1998: A Natural Experiment?
Anna Damm ()
No 05-3, Working Papers from University of Aarhus, Aarhus School of Business, Department of Economics
Abstract:
This paper investigates whether the Danish Dispersal Policy on
new refugee immigrants carried out from 1986 to 1998 can be regarded
as a natural experiment. Were refugees randomly assigned to
a location?
The main findings are as follows. First, around 90% of new refugees
were assigned to a location. Second, the dispersal policy successfully
distributed new refugees equally across locations relative to the number
of inhabitants in a location. Third, the actual settlement may
have been influenced by six refugee characteristics. I conclude that
the initial location of new refugees 1986-1998 may be regarded as
random, when controlling for family status, need of treatment, educational
needs, location of close family and friends and nationality at
the time of immigration as well as year of immigration.
Keywords: Dispersal Policies; Refugee Immigrants; Natural Experiments (search for similar items in EconPapers)
JEL-codes: J15 R23 (search for similar items in EconPapers)
Pages: 47 pages
Date: 2005-09-02
New Economics Papers: this item is included in nep-geo
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.hha.dk/nat/wper/05-3_apd.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hhs:aareco:2005_003
Access Statistics for this paper
More papers in Working Papers from University of Aarhus, Aarhus School of Business, Department of Economics The Aarhus School of Business, Prismet, Silkeborgvej 2, DK 8000 Aarhus C, Denmark. Contact information at EDIRC.
Bibliographic data for series maintained by Helle Vinbaek Stenholt ( this e-mail address is bad, please contact ).