Hedonic Modeling for Predicting House Prices during CoVid19 Pandemic in the Philippines

Abstract

House projects kept changing in the Philippines, because of the changing needs and demands of the market valuation. Predicting the housing prices will be the focus of the study especially during the CoVid-19 pandemic. As the Consumer Price Index (CPI in the Philippines increased to 123.40 points in September from 123.30 points in August of 2020 [8]. The researcher will use Hedonic Regression Model techniques for analyzing its statistical technique for investigating and modeling the relationship between variables that will be applied in the study. In the data collection, the regression analysis will be the basis for collecting the data such as its historical data, observational study, and design experiment of housing prices before the CoVid19 pandemic came in the Philippines. The results and conclusion of the different machine algorithms will be used showing that regression analysis is the best technique for prediction of prices for housing in the Philippines during the Pandemic. The study will apply parameters that can calculate house valuations within Metro Manila.