Estimation av bostadsrättspriser i Stockholms innerstad medelst multipel regressionsanalys.

Sammanfattning: This report aims to study the condominium prices in central Stockholm and the factors that affect these prices. A linear regression model was set up and data about relevant covariates such as floor area, mortgage rates and where the condominium is situated were gathered to assess if and how they influence the price. The raw data was processed and enhanced to gain as much relevant information as possible to the model. To determine the covariates’ influence on the final price, regressions were ran and various tests were performed on the output data. This lead to that the covariates were either kept or excluded from the original model depending on the outcome of these tests. The above resulted in a model where all remaining covariates are significant for the final price of the condominium. The authors draw the conclusion that, with the models limitations taken into account, the project satisfies one of our purposes to be able to give a correct price on a condominium in central Stockholm to an acceptable degree. The other purpose of giving more specific information about what the individual characteristics of a condominium is regarded as fulfilled. However, the authors also note that there are possibilities for additional model development which would be beneficial for the purposes of this project.