Vilka faktorer påverkar hemlösheten i Sverige? - En studie av individuella och strukturella faktorers inverkan på hemlösheten i svenska kommuner
(2014) NEKH01 20132Department of Economics
- Abstract
- Project title: What factors affect homelessness in Sweden? – A degree project about how individual and structural factors affect homelessness in Swedish municipalities.
Purpose: The purpose with the thesis is to investigate which factors affect homelessness in Swedish municipalities.
Methodology: I have used a multiple regression model in order to find and analyze the underlying reasons for homelessness. Some factors are qualitative, and have therefore been transformed into dummy variables in order to be analyzed quantitatively.
Theory: The study is based on theories and previous research within the areas of homelessness and the individual and structural factors that may affect the problem.
Empirical foundation: The empirical... (More) - Project title: What factors affect homelessness in Sweden? – A degree project about how individual and structural factors affect homelessness in Swedish municipalities.
Purpose: The purpose with the thesis is to investigate which factors affect homelessness in Swedish municipalities.
Methodology: I have used a multiple regression model in order to find and analyze the underlying reasons for homelessness. Some factors are qualitative, and have therefore been transformed into dummy variables in order to be analyzed quantitatively.
Theory: The study is based on theories and previous research within the areas of homelessness and the individual and structural factors that may affect the problem.
Empirical foundation: The empirical foundation consists of collected data, describing homelessness and the underlying factors that are studied.
Conclusions: Using multiple regression analysis, I have found that foreign background, economic aid, politics and population size have a positive effect on homelessness. Municipalities that, during the past seven years, have had left or right political governance, have bigger problems with homelessness compared to municipalities with mixed governments or power shifts. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/4250224
- author
- Nordmark, Vanessa LU
- supervisor
- organization
- course
- NEKH01 20132
- year
- 2014
- type
- M2 - Bachelor Degree
- subject
- keywords
- Hemlöshet, individuella orsaker, strukturella orsaker, regression, svenska kommuner
- language
- Swedish
- id
- 4250224
- date added to LUP
- 2014-02-11 12:52:04
- date last changed
- 2014-02-11 12:52:04
@misc{4250224,
abstract = {{Project title: What factors affect homelessness in Sweden? – A degree project about how individual and structural factors affect homelessness in Swedish municipalities.
Purpose: The purpose with the thesis is to investigate which factors affect homelessness in Swedish municipalities.
Methodology: I have used a multiple regression model in order to find and analyze the underlying reasons for homelessness. Some factors are qualitative, and have therefore been transformed into dummy variables in order to be analyzed quantitatively.
Theory: The study is based on theories and previous research within the areas of homelessness and the individual and structural factors that may affect the problem.
Empirical foundation: The empirical foundation consists of collected data, describing homelessness and the underlying factors that are studied.
Conclusions: Using multiple regression analysis, I have found that foreign background, economic aid, politics and population size have a positive effect on homelessness. Municipalities that, during the past seven years, have had left or right political governance, have bigger problems with homelessness compared to municipalities with mixed governments or power shifts.}},
author = {{Nordmark, Vanessa}},
language = {{swe}},
note = {{Student Paper}},
title = {{Vilka faktorer påverkar hemlösheten i Sverige? - En studie av individuella och strukturella faktorers inverkan på hemlösheten i svenska kommuner}},
year = {{2014}},
}