The Relationship between Housing Prices and Market Transparency. Evidence from the Metropolitan European Markets-Reference-Cited by-同舟云学术

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The Relationship between Housing Prices and Market Transparency. Evidence from the Metropolitan European Markets

Published:2019-10-03 Issue:1 Volume:38 Page:42-71
ISSN:1403-6096
Container-title:Housing, Theory and Society
language:en
Short-container-title:Housing, Theory and Society

Author:

Ionașcu Elena¹,Taltavull de La Paz Paloma²^ORCID,Mironiuc Marilena³

Affiliation:

1. Doctoral School of Economics and Business Administration, “Alexandru Ioan Cuza” University of Iasi, Iasi, Romania

2. Department of Applied Economics, Institute of International Economics, University of Alicante, Alicante, Spain

3. Faculty of Economics and Business Administration, “Alexandru Ioan Cuza” University of Iasi, Iasi, Romania

Publisher

Informa UK Limited

Subject

Urban Studies,Sociology and Political Science,Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/14036096.2019.1672577

Reference89 articles.

1. Hedonic modelling, housing submarkets and residential valuation

2. Neoclassical Models of the Housing Market

3. When Transparency Improves, Must Prices Reflect Fundamentals Better?

4. Price formation, mispricing and investment analysis in the property market

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On real estate market transparency: The relationship with ICT trade and investment;Land Use Policy;2023-10

2. Your Browsing History May Cost You: A Framework for Discovering Differential Pricing in Non-Transparent Markets;2023 ACM Conference on Fairness, Accountability, and Transparency;2023-06-12

3. Deindustrialization and the Real-Estate– Development–Driven Housing Regime. The Case of Romania in Global Context;Studia Universitatis Babes-Bolyai Sociologia;2023-06-01

4. Detecting information transparency in the italian real estate market: a machine learning approach [Identificare la trasparenza informativa nel mercato immobiliare italiano: un approccio machine learning];Valori e Valutazioni;2023-02

5. MACROECONOMIC VARIABLES INFLUENCING HOUSING PRICES IN VILNIUS;International Journal of Strategic Property Management;2021-12-02

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