The study analyzed various factors that affect housing prices using real estate and economic data. The researchers found that variables like mortgage interest rates, household loans, and economic indices have a significant impact on housing prices. The final model showed a 0 to 1.3% margin of error in predicting housing prices, with consistent trends in the data.