Title :
A Case Study on Relationship between Mortgage Payment and Income Using Quantile Regression
Author :
Han, Yueli ; Shi, Daoji
Author_Institution :
Dept. of Math., Tianjin Univ., Tianjin
Abstract :
Compared to ordinary linear regression, quantile regression not only reveals more regional information, but also makes parameter estimates more robust. This study analyzes the relationship between mortgage payment and household income for both Chinese households and American households using a linear quantile regression model with one independent variable.
Keywords :
mortgage processing; parameter estimation; regression analysis; American households; Chinese households; income; mortgage payment; parameter estimation; quantile regression; Computer science; Computer science education; Educational technology; Linear regression; Loans and mortgages; Mathematics; Parameter estimation; Robustness; Statistical analysis; Vectors; linear regression; parameter estimation; quantile; quantile regression;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.355
