Graduation Semester and Year
Summer 2024
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Business Administration
Department
Finance
First Advisor
Andrew Hansz
Second Advisor
Ramya Aroul
Third Advisor
Sridhar Nerur
Fourth Advisor
Larry Lockwood
Abstract
The role of real estate agents as intermediaries in property transactions is well-established. However, the extent to which their positioning within professional networks influences transaction outcomes remains to be discovered. Drawing inspiration from network theory, this dissertation explores the relationship between real estate agent networks and performance metrics. Using a comprehensive dataset of Tarrant County, Texas, MLS transactions spanning 2002-2022, I test how agent network size and position relate to the property sale price and time on the market (TOM). The analyses suggest that network positioning could be pivotal in determining transactional outcomes. This study promises to fill a gap in the real estate and finance literature by focusing on the often-overlooked dimension of agent networks, with implications for industry and academia.
Keywords
Real estate, Real estate agents, Brokerage, Agent networks, Social network analysis, Agency problem, Agent performance
Disciplines
Finance and Financial Management | Real Estate
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Khachatryan, Ani, "Do Networks Matter in Real Estate? Real Estate Agent Performance Through Network Analysis" (2024). Finance and Real Estate Dissertations. 44.
https://mavmatrix.uta.edu/financerealestate_dissertations/44