EPJ Data Science

Table 1 Effect of online interest on time on market and chance of price revisions

From: Home is where the ad is: online interest proxies housing demand

	Dependent variable:
	LOGTIMEONMARKET		PRDECREASE	PRINCREASE
	OLS		logistic	logistic
	(1)	(2)	(3)	(4)
RELCLICKS	−0.520^∗∗∗		−0.095^∗∗∗	0.156^∗∗∗
RELCLICKS	(0.004)		(0.013)	(0.042)
RELCONTACTS		−0.481^∗∗∗
RELCONTACTS		(0.004)
RELPRICEM2	−0.060^∗∗∗	−0.022	0.222^∗∗∗	−0.375^∗∗∗
RELPRICEM2	(0.010)	(0.014)	(0.017)	(0.023)
FLOORAREA	0.0002^∗∗∗	−0.0003^∗∗∗	0.0001	−0.0002
FLOORAREA	(0.0001)	(0.0001)	(0.0001)	(0.0003)
STATUS	−0.033^∗∗∗	0.007	−0.203^∗∗∗	0.539^∗∗∗
STATUS	(0.004)	(0.005)	(0.008)	(0.028)
ROOMS	0.024^∗∗∗	0.012^∗∗	−0.028^∗∗∗	0.016
ROOMS	(0.004)	(0.006)	(0.007)	(0.025)
Constant	3.853^∗∗∗	4.332^∗∗∗	1719.883^∗∗∗	1559.833
Constant	(0.364)	(0.111)	(639.811)	(7900.740)
Observations	71,221	26,536	128,829	128,829
Adjusted R-squared	0.327	0.457	/	/
Residual deviance	/	/	141,916	18,944
AIC	174,083	56,598	145,972	21,848

Note: ^∗p<0.1; ^∗∗p<0.05; ^∗∗∗p<0.01. In the model diagnostics, adjusted R-squared only applies to OLS, while residual deviance only applies to logistic regression. Additional controls: OMI microzone and quarter dummies. RELCLICKS and RELCONTACTS are in logs. In columns (1)–(2) RELCLICKS and RELCONTACTS are calculated over the entire lifespan of the ad. Instead in (3)–(4) RELCLICKS is calculated over the first 14 days from upload. The results for RELCONTACTS are similar and given in the text.

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