We examine the economic impact of non-consumable visual cues through home staging on high-stakes housing transactions. Using hand-collected listing photos for 15,777 transactions and a machine-learning algorithm to detect furniture, we provide the first large-scale evidence that staged homes sell for roughly 10% more and one week faster than comparable homes without furniture. Our pre-registered online experiment establishes causality and uncovers mechanisms. We find that furniture clarifies spatial use, while decor enhances emotional attachment, jointly driving the higher willingness-to-pay. These findings demonstrate how visual cues impact high-stakes decisions and systematically shape valuations in the largest asset market for households.

That is from Puja Bhattacharya, et.al., via the excellent Kevin Lewis.