Vilka faktorer påverkar bostadspriser?
(2021) NEKH02 20211Department of Economics
- Abstract (Swedish)
- This paper examines which factors that influence the price of the housing market. By using data from Sweden and Denmark between year 1993 - 2020 with credit growth, dwellings completed, an interest-spread and population growth as explanatory variables in the model. The study aims to explain the growth in the housing market with two separate multiple linear regression models.
The results show that credit growth can explain a large part of the growth in the housing market, both in Sweden as well as in Denmark. This suggests that credit growth should be included in further studies that examine the growth in the housing market. However, the robustness in the model can be questioned due to the fact that the model examines a limited period.... (More) - This paper examines which factors that influence the price of the housing market. By using data from Sweden and Denmark between year 1993 - 2020 with credit growth, dwellings completed, an interest-spread and population growth as explanatory variables in the model. The study aims to explain the growth in the housing market with two separate multiple linear regression models.
The results show that credit growth can explain a large part of the growth in the housing market, both in Sweden as well as in Denmark. This suggests that credit growth should be included in further studies that examine the growth in the housing market. However, the robustness in the model can be questioned due to the fact that the model examines a limited period. The model only examines the correlation between the variables, this suggests that there might be an endogeneity problem affecting the results. It could be the case, increasing housing prices explain credit growth. Also there could be exogenous variables that explain the housing prices. Further studies are therefore recommended. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9060670
- author
- Melin Forslin, Björn LU and Guditz, Henrik
- supervisor
- organization
- course
- NEKH02 20211
- year
- 2021
- type
- M2 - Bachelor Degree
- subject
- keywords
- Keywords: housing market, credit growth, financial regulation
- language
- Swedish
- id
- 9060670
- date added to LUP
- 2021-07-05 13:34:28
- date last changed
- 2021-07-05 13:34:28
@misc{9060670, abstract = {{This paper examines which factors that influence the price of the housing market. By using data from Sweden and Denmark between year 1993 - 2020 with credit growth, dwellings completed, an interest-spread and population growth as explanatory variables in the model. The study aims to explain the growth in the housing market with two separate multiple linear regression models. The results show that credit growth can explain a large part of the growth in the housing market, both in Sweden as well as in Denmark. This suggests that credit growth should be included in further studies that examine the growth in the housing market. However, the robustness in the model can be questioned due to the fact that the model examines a limited period. The model only examines the correlation between the variables, this suggests that there might be an endogeneity problem affecting the results. It could be the case, increasing housing prices explain credit growth. Also there could be exogenous variables that explain the housing prices. Further studies are therefore recommended.}}, author = {{Melin Forslin, Björn and Guditz, Henrik}}, language = {{swe}}, note = {{Student Paper}}, title = {{Vilka faktorer påverkar bostadspriser?}}, year = {{2021}}, }