Construction industrial multivariate statistical analysis based on real estate market in USA
Wang, Lei. 2016. Construction industrial multivariate statistical analysis based on real estate market in USA. --In Proceedings: 12th Annual Symposium on Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University, p. 117
This project mainly focus on how the land market value, in terms of GDP, CPI, construction cost index and unemployment rate, inflation rate, population and purchasing manage index, enables a relationship with the real estate market and investment. We also apply the 34 years' national data for statistical multivariate analysis. Besides, we explore the qualitative and quantitative relationship among these economic variables at risk scenarios. We obtain how to add value to business through statistical modeling and apply skills set to real estate in a real world environment. Most importantly, we forecast the land market value and prospect the future trend of real estate market in USA. The goal in providing crucial statistical analysis of many variables in the real estate market is to enable government and investors to make informed decisions regarding real estate.
Presented to the 12th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Heskett Center, Wichita State University, April 29, 2016.
Research completed at Department of Mathematics and Statistics, Fairmount College of Liberal Arts and Sciences