Online listing data and their interaction with market dynamics: evidence from Singapore during COVID-19

Journal of Big Data

Table 2 COVID-19 Effects on price premiums associated with actual housing features (Difference-in-difference regression results)

Dependent variable: resale price per square meter
	(1) 10th + floor		(2) 4 + rooms (3 + bedrooms with a living room)		(3) Within 400 m to subway		(4) Within 2 km to CBD
Post-COVID-19	453.06 (16.26)	***	449.89 (15.70)	***	477.06 (15.19)	***	467.52 (14.95)	***
Post-COVID-19 × 10th or higher floor	35.13 (5.60)	***
10th or higher floor	303.57 (4.18)	***
Post-COVID-19 × four or more rooms			18.10 (6.40)	***
Four or more rooms			− 121.74 (5.02)	***
Post-COVID-19 × near subway					− 61.78 (6.85)	***
Near subway					256.00 (6.01)	***
Post-COVID-19 × near CBD							− 76.14 (16.62)	***
Near CBD							74.04 (26.66)	***
Location characteristics	Y		Y		Y		Y
Unit characteristics	Y		Y		Y		Y
Year & Month FE	Y		Y		Y		Y
Street name FE	Y		Y		Y		Y
N	96,027		96,027		96,027		96,027
Adjusted-R²	0.90		0.91		0.91		0.91

^*p < 0.1; **p < 0.05; ***p < 0.01. Robust standard errors in parentheses
For public housing in Singapore, the living room is included in the number of rooms. So we essentially capture whether the unit has three or more bedrooms