As swedes are keen on outdoor recreation and like to spend on travels and gear for forest recreation we want to show if there is a willingness to pay for forest recreation close to home. Starting in hedonic regression we create a model using publicly available data to show how consumer preferences effect house prices. Results show that distance to forest have a small but significant impact on house prices. To conclude we state that a logarithmic model using open source data can be useful in city planning and that there is a positive effect of nearby forests on house prices.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-46047 |
| Date | January 2015 |
| Creators | Andersson, Kaj |
| Publisher | Linnéuniversitetet, Institutionen för nationalekonomi och statistik (NS) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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