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Are house prices in the Norwegian capital too high?

Author

Listed:
  • Svein Olav Krakstad
  • Are Oust

Abstract

Purpose - – This paper aims to investigate whether the homes in the Norwegian capital, Oslo, are overpriced. While house prices in many countries dropped after the financial crisis, those in Norway have continued to increase. Over the past 20 years, real house prices in Oslo have increased by around 7 per cent yearly. Design/methodology/approach - – The authors use a vector error correction model to estimate the equilibrium between house prices, rents, construction costs and wages to examine whether house prices in Oslo are overpriced. Findings - – Long-term relationships between house prices, rents, construction costs and wages are found and used to estimate equilibrium house prices in Oslo. The overpricing in Oslo compared to estimated equilibrium prices is around 35 per cent. Practical implications - – Price–rent, price–construction cost and price–income ratios are often used, by practitioners to say something about over- or underpricing in the housing market. We test and find that house prices, rents and construction costs move toward constant ratios in the long run, while wages are found to be weakly exogenous in the system. Originality/value - – Our estimate of overpricing gives households, investors and policy-makers a better understanding of the risk associated with owning dwellings.

Suggested Citation

  • Svein Olav Krakstad & Are Oust, 2015. "Are house prices in the Norwegian capital too high?," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 8(2), pages 152-168, June.
  • Handle: RePEc:eme:ijhmap:v:8:y:2015:i:2:p:152-168
    DOI: 10.1108/IJHMA-08-2014-0034
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    Citations

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    Cited by:

    1. Svein Olav Krakstad, 2015. "Long-Run Movements in House Prices," International Real Estate Review, Global Social Science Institute, vol. 18(4), pages 429-454.
    2. Rong Wang & Li Ye & Liwen Chen, 2019. "The Impact of High-Speed Rail on Housing Prices: Evidence from China’s Prefecture-Level Cities," Sustainability, MDPI, vol. 11(13), pages 1-18, July.

    More about this item

    Keywords

    Wage; Housing prices; VECM; Rents; Construction cost; Oslo; E21; E22; G12; R21; R31;
    All these keywords.

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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