For the project we want to describe the development in housing prices in the area of Copenhagen. We want to relate this to the metro in Copenhagen. Specifically, we want to analyse whether the construction of the metro from Vanløse to Amager (opened in 2002) has had an impact on the housing prices near the metro. From this we will try to predict the development of the housing prices after the opening of the metro in 2018 (Cityringen). In our analysis we will try to include price changes with respect to distance to the metro stations and try to control for the general development of housing prices in the period we are looking at.
The Data
We want to use data from Boliga.dk on the development of realized housing prices. We have been in contact with Boliga.dk and have received permission to use the data for the project. The webpage includes data on realized housing prices, geographic placement, the date sold, kr./, number of rooms, the type of housing, and the year the housing was built. The data further includes the date sold and the development of the price in percentage while the housing was on the market.
We will be scraping the data using Rvest.
The Method
The project will begin with a brief summary of what we will be doing in the project. After this, we will describe how the data was scraped as well as describe the data itself. The description of the data will include some graphs and tables. In order to estimate the effect of the metro from Vanløse to Amager, we will perform a difference in difference analysis comparing the development of the prices of housing near a metro to the development of the prices of housing not near the metro. Using the results from this analysis, we will try to predict the increase in the prices of housing near the new metro (Cityringen) in 2018. The analysis may also include some visualizations such as maps.
Assignment 3: Project Description
The Idea
For the project we want to describe the development in housing prices in the area of Copenhagen. We want to relate this to the metro in Copenhagen. Specifically, we want to analyse whether the construction of the metro from Vanløse to Amager (opened in 2002) has had an impact on the housing prices near the metro. From this we will try to predict the development of the housing prices after the opening of the metro in 2018 (Cityringen). In our analysis we will try to include price changes with respect to distance to the metro stations and try to control for the general development of housing prices in the period we are looking at.
The Data
We want to use data from Boliga.dk on the development of realized housing prices. We have been in contact with Boliga.dk and have received permission to use the data for the project. The webpage includes data on realized housing prices, geographic placement, the date sold, kr./, number of rooms, the type of housing, and the year the housing was built. The data further includes the date sold and the development of the price in percentage while the housing was on the market. We will be scraping the data using Rvest.
The Method
The project will begin with a brief summary of what we will be doing in the project. After this, we will describe how the data was scraped as well as describe the data itself. The description of the data will include some graphs and tables. In order to estimate the effect of the metro from Vanløse to Amager, we will perform a difference in difference analysis comparing the development of the prices of housing near a metro to the development of the prices of housing not near the metro. Using the results from this analysis, we will try to predict the increase in the prices of housing near the new metro (Cityringen) in 2018. The analysis may also include some visualizations such as maps.