The goal of the study was to create a better house price index model for Malaysia by considering both demand and supply factors. The researchers used the Autoregressive Distributed Lag Model to analyze data from 2008 to 2015. They found that factors like employment, interest rates, inflation, land supply, and housing loans significantly affect house prices in Malaysia. Construction costs, however, were not as important in determining house prices. The new enhanced house price index model they developed showed a strong relationship between these factors and house prices in the long run.