The study looked at how economic factors affect the accuracy of estimating construction costs. Using deep neural networks and data from 98 school projects in Hong Kong, the researchers found that economic factors are more important than project characteristics in reducing cost estimation errors. This information can help construction professionals make better decisions and researchers understand the impact of different factors on cost estimation.