Seoul housing prices and the role of speculation
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DOI: 10.1007/s00181-009-0282-x
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Citations
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Cited by:
- Wen-Yuan Lin & I-Chun Tsai, 2016. "Asymmetric Fluctuating Behavior of China's Housing Prices," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 24(2), pages 107-126, March.
- Diao, Mi & Fan, Yi & Sing, Tien Foo, 2021. "Rational pricing responses of developers to supply shocks: Evidence from Singapore," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 802-815.
- Hsiao-Jung Teng & Chin-Oh Chang & Ming-Chi Chen, 2017. "Housing bubble contagion from city centre to suburbs," Urban Studies, Urban Studies Journal Limited, vol. 54(6), pages 1463-1481, May.
- Lan, Hao & Moreira, Fernando & Zhao, Sheng, 2023. "Can a house resale restriction policy curb speculation? Evidence from a quasi-natural experiment in China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 841-859.
- Kim, Jan R. & Lim, Gieyoung, 2016. "Fundamentals and rational bubbles in the Korean housing market: A modified present-value approach," Economic Modelling, Elsevier, vol. 59(C), pages 174-181.
- Heeho Kim & SaeWoon Park & Sun Hye Lee, 2012. "House Price and Bank Lending in a Premium Submarket in Korea," International Real Estate Review, Global Social Science Institute, vol. 15(1), pages 1-42.
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More about this item
Keywords
Speculative bubble; Latent information; Housing market; G12; C13; C52;All these keywords.
JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
Statistics
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