| dc.description.abstract | In this master's thesis, we present a study with logistic regression. We want to find out which macroeconomic variables that affect the rental price growth on commercial real estate in Norway. Through a literature review and a theory part, we arrive at the relevant variables that we believe can influence the rental prices. The variables we end up using are GDP, policy rate, unemployment rate, building costs, inflation, and squaremeters total floor space within commercial real estate.
Through the analysis- and results section, we process the data so we could create a regression model that is valid and reliable. This allows us to draw valid statistical conclusions in the study.
The result is a model where we use differenced variables in the form of time series regression. In our preferred model, we use the policy rate, building costs, square meter total mass and inflation as independent variables. In the study, we find that the policy rate is statistically significant at the 10% level, while square meter total mass and inflation are statistically significant at the 5% level. Therefore, this is the variables that we validly and reliably can say have influenced the rental prices for commercial real estate in the period from January 2012 to December 2019 in Norway. At the same time, we have some assumptions that may affect our results. | en_US |
