Say, I am looking to estimate the demand curve for rental of a real estate property. The demand varies depending on time of the year, location, economic and demographic variables.
I'd like to predict the demand for fixed supply with independent variables using ML or time series forecasting methods as they're robust in this case. And, then use the predicted estimates to graph the demand curve against price and quantity.
This would produce a demand curve for each location and quarter of the year. My question is, Is this a sound approach? Any issues with this?