Abstract
Dubai’s residential real estate market is known for its rapid growth and dynamic nature, making it an intriguing subject for analyzing the impact of various economic factors. This thesis examines how key economic elements such as GDP growth, inflation rates, and foreign investment influence property dynamics in Dubai. By synthesizing current research, this study aims to understand how these economic conditions affect real estate values, demand, and supply. Additionally, modern analytical methods, including decision trees, logistic regression, and random forest models, are employed to predict market trends and uncover significant patterns. This research contributes to both academic understanding and practical applications, offering valuable insights for policymakers, investors, and other stakeholders involved in Dubai’s real estate sector.
Library of Congress Subject Headings
Residential real estate--Economic aspects--United Arab Emirates--Dubai; Machine learning
Publication Date
12-2024
Document Type
Thesis
Student Type
Graduate
Degree Name
Professional Studies (MS)
Department, Program, or Center
Graduate Programs & Research
Advisor
Sanjay Modak
Advisor/Committee Member
Ioannis Karamitsos
Recommended Citation
Shokirova, Zarrina, "Analyzing the Effects of Economic Factors on Residential Real Estate Market Dynamics of Dubai: Using Machine Learning Methods" (2024). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/12014
Campus
RIT Dubai
Plan Codes
PROFST-MS
