Population Structure and Housing Prices: Evidence from Chinese Provincial Panel Data-Reference-Cited by-同舟云学术

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Population Structure and Housing Prices: Evidence from Chinese Provincial Panel Data

Published:2018-09-10 Issue:1 Volume:55 Page:29-38
ISSN:1540-496X
Container-title:Emerging Markets Finance and Trade
language:en
Short-container-title:Emerging Markets Finance and Trade

Author:

Choi Changkyu¹,Jung Hojin²,Su Li³

Affiliation:

1. Department of Economics, Myongji University, Seoul, Korea

2. Department of Economics, Chonbuk National University, Jeonju-si, Jeollabuk-do, Korea

3. International School of Economics and Management, Capital University of Economics and Business, Beijing, China

Publisher

Informa UK Limited

Subject

General Economics, Econometrics and Finance,Finance

Link

https://www.tandfonline.com/doi/pdf/10.1080/1540496X.2018.1496417

Reference29 articles.

1. Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations

2. Another look at the instrumental variable estimation of error-components models

3. Initial conditions and moment restrictions in dynamic panel data models

4. Understanding Interaction Models: Improving Empirical Analyses

5. One decade of urban housing reform in China: Urban housing price dynamics and the role of migration and urbanization, 1995–2005

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1. Impact of population aging on corporate digital transformation strategies: An empirical investigation based on population census data from various provinces in China;Finance Research Letters;2024-09

2. Breaking the Curse of “the Last Generation”: Employment Structure and China’s Population Crisis;The Chinese Economy;2024-04-03

3. HOUSING TYPES, POPULATION ATTRIBUTES AND THE DEVELOPMENT PATH OF HOUSING IN LARGE CITIES – A CASE STUDY OF ZHENGZHOU, CHINA;International Journal of Strategic Property Management;2023-12-07

4. Community banks' capital requirements and regional housing tenure;Australian Economic Papers;2023-10-02

5. Multi-hierarchical spatial clustering for characteristic towns in China: An Orange-based framework to integrate GIS and Geodetector;Journal of Geographical Sciences;2023-03

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