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Analysis of the Optimal Housing Size for Housing Demanders


 
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1. Title Title of document Analysis of the Optimal Housing Size for Housing Demanders
 
2. Creator Author's name, affiliation, country Shyh-Weir Tzang; Asia University; Taiwan, Province of China
 
2. Creator Author's name, affiliation, country Chih-Hsing Hung; <p class="Affiliation"><span lang="EN-GB">Department of Money and Banking, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan</span></p>; Taiwan, Province of China
 
2. Creator Author's name, affiliation, country Chun-Ping Chang; Asia Unviersity, department of finance; Taiwan, Province of China
 
2. Creator Author's name, affiliation, country Yung-Shun Tsai; Asia Unviersity, department of finance
 
3. Subject Discipline(s)
 
3. Subject Keyword(s)
 
4. Description Abstract

Based on the extension of the model of Campbell and Cocco (2015), we use the data of Taiwan to explore the factors that affect the consumers’ demand for housing size. Results revealed that loan-to-value (LTV) ratio, total income and age are positively correlated with the optimal housing size. We also find that consumption has only a marginally positive effect on the optimal housing size. Income tax rate, however, is found to be negatively correlated with the optimal housing size.

Keywords:  Optimal housing size, LTV, Income, Consumption, Age

 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s) Asia University
 
7. Date (YYYY-MM-DD)
 
8. Type Status & genre Peer-reviewed Paper
 
8. Type Type
 
9. Format File format
 
10. Identifier Universal Resource Indicator https://conference.ppmschool.ac.id/index.php/apmrc/apmrc4/paper/view/46
 
11. Source Journal/conference title; vol., no. (year) The 4th Asia-Pacific Management Research Conference; Asia Pacific Management Research Conference
 
12. Language English=en en
 
13. Relation Supp. Files Untitled (27KB)
Analysis of the Optimal Housing Size for Housing Demanders (11KB)
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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