Two Effective Solutions from Matching Theory to Solve the Syrian Refugee Crisis in Europe
(2018) EKHS42 20181Department of Economic History
- Abstract
- The European Union has proved to be unable to efficiently deal with the refugee
crisis that is devastating Middle East since 2011. The problem grew bigger in 2014 and
2015, when Syrian migrants illegally entered some frontier Member States, forcing the
European Union to introduce a new relocation mechanism that is far from being more
effective than previous solutions. To address this distributional problem, I resort to matching
theory, which provides some mechanisms that can improve the current policies. In this research
I use two well-known algorithms that are adjusted to allow for some specific characteristics of
the refugee crisis, the You Request My House - I Get Your Turn, which I studied in
previous research, and the Deferred... (More) - The European Union has proved to be unable to efficiently deal with the refugee
crisis that is devastating Middle East since 2011. The problem grew bigger in 2014 and
2015, when Syrian migrants illegally entered some frontier Member States, forcing the
European Union to introduce a new relocation mechanism that is far from being more
effective than previous solutions. To address this distributional problem, I resort to matching
theory, which provides some mechanisms that can improve the current policies. In this research
I use two well-known algorithms that are adjusted to allow for some specific characteristics of
the refugee crisis, the You Request My House - I Get Your Turn, which I studied in
previous research, and the Deferred Acceptance. Both mechanisms are faced against each
other in a pilot experiment that sheds some results supporting the use of the former algorithm. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8949111
- author
- Alvarez Luque, Ignacio LU
- supervisor
- organization
- course
- EKHS42 20181
- year
- 2018
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Refugee, Matching, House allocation, Existing tenants, You request my house I get your turn, Deferred Acceptance, Quotas, Preferences, Families, Efficiency, Stability
- language
- English
- id
- 8949111
- date added to LUP
- 2018-08-20 14:42:47
- date last changed
- 2018-08-20 14:42:47
@misc{8949111, abstract = {{The European Union has proved to be unable to efficiently deal with the refugee crisis that is devastating Middle East since 2011. The problem grew bigger in 2014 and 2015, when Syrian migrants illegally entered some frontier Member States, forcing the European Union to introduce a new relocation mechanism that is far from being more effective than previous solutions. To address this distributional problem, I resort to matching theory, which provides some mechanisms that can improve the current policies. In this research I use two well-known algorithms that are adjusted to allow for some specific characteristics of the refugee crisis, the You Request My House - I Get Your Turn, which I studied in previous research, and the Deferred Acceptance. Both mechanisms are faced against each other in a pilot experiment that sheds some results supporting the use of the former algorithm.}}, author = {{Alvarez Luque, Ignacio}}, language = {{eng}}, note = {{Student Paper}}, title = {{Two Effective Solutions from Matching Theory to Solve the Syrian Refugee Crisis in Europe}}, year = {{2018}}, }