Detection of price bubbles in Istanbul housing market using LSTM autoencoders: a district-based approach

Author:

Ayan Ebubekir,Eken SüleymanORCID

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference42 articles.

1. Afsar A, Dogan E (2018) Analyzing asset of bubbles in the housing market with right-tailed unit root tests: the case of Turkey. J Bus Econ Finance 7(2):139–147

2. Aizenman J, Jinjarak Y, Zheng H (2019) Housing bubbles, economic growth, and institutions. Open Econ Rev 30(4):655–674

3. Asal M (2019) Is there a bubble in the Swedish housing market? J Eur Real Estate Res

4. Badurlar İÖ (2008) Türkiye’de konut fiyatları ile makro ekonomik değişkenler arasındaki ilişkinin araştırılması (Investigation of relationship between house prices). Anadolu Univ J Soc Sci 8(1):223–238 ((in Turkish))

5. Baldi P (2012) Autoencoders, unsupervised learning, and deep architectures. In: Proceedings of ICML workshop on unsupervised and transfer learning, pp 37–49

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