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Joshua Carr discusses a flexible financial model for occupancy forecasting. He addresses a common query about how to adjust leasing schedules based on different timelines for reaching full occupancy. Carr demonstrates that by using a simple "if" statement, he can control the occupancy variable. If the current month is equal to or exceeds the month when the space is expected to be fully leased, the model outputs a 1 (indicating occupancy); otherwise, it outputs a 0. This approach allows for dynamic adjustments based on when full occupancy is anticipated, facilitating quicker or slower filling based on projected timelines.
