Essays about: "huspriser"
Showing result 1 - 5 of 17 essays containing the word huspriser.
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1. The polarized attitudes of offshore wind - The social acceptance of planned offshore wind farm Västvind among Öckerö municipality residents
University essay from Lunds universitet/Centrum för miljö- och klimatvetenskap (CEC)Abstract : Climate change, the energy crisis of 2022-2023, and estimations of future electricity demands have stressed the necessity for a rapid transition of the energy system. Offshore wind energy plays an important role in this transition, and is expected to expand considerably on a global level, in the EU and in Sweden. READ MORE
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2. The Impact of Foreign Direct Investments on the Swedish Housing Market
University essay from KTH/Fastighetsföretagande och finansiella systemAbstract : Foreign direct investments (FDI) are a crucial part of the world economy as the world has become increasingly globalized. Foreign investment can have a positive impact on the host country in many ways, such as economic growth, new technologies, and job opportunities. READ MORE
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3. Exploring Housing Market Dynamics through Google Search : A Case of Taiwan
University essay from KTH/Fastigheter och byggandeAbstract : To capture house price fluctuations, it is important to combine appropriate factors into the price forecasting model. Fundamental macroeconomic variables have been considered quite completely in many housing price models. However, the ability of these models to predict housing prices are still limited. READ MORE
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4. The Predictive Relationship between Swedish House Prices and Consumer Price Inflation
University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistikAbstract : Sweden has in the past three decades experienced low rates of inflation, rising house prices and a declining policy rate. This implicates that the households can increase debt due to expanding collateral, and thereby increase the sensitivity to higher interest rates. READ MORE
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5. Housing Price Prediction over Countrywide Data : A comparison of XGBoost and Random Forest regressor models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The aim of this research project is to investigate how an XGBoost regressor compares to a Random Forest regressor in terms of predictive performance of housing prices with the help of two data sets. The comparison considers training time, inference time and the three evaluation metrics R2, RMSE and MAPE. READ MORE