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Table 4 Lagged effect of aggregate online interest on price

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

 

Dependent variable:

 

\(\mathit {LOGPRICEM}2_{t}\)

 

OMI micro-zone

City

 

(1)

(2)

(3)

(4)

\(\mathit {LOGPRICEM}2_{t-1}\)

0.511

0.511

0.639

0.619

(0.014)

(0.014)

(0.039)

(0.041)

\(\mathit {LOGCLICKS}_{t-1}\)

0.035

 

−0.050

 

(0.025)

 

(0.058)

 

\(\mathit {LOGCLICKS}_{t-2}\)

0.051

 

−0.040

 

(0.026)

 

(0.060)

 

\(\mathit {LOGCONTACTS}_{t-1}\)

 

0.019

 

−0.026

 

(0.013)

 

(0.046)

\(\mathit {LOGCONTACTS}_{t-2}\)

 

0.030

 

0.100

 

(0.013)

 

(0.050)

DEGREE

0.836

0.866

0.938

0.513

(0.083)

(0.081)

(0.414)

(0.424)

UNEMPLOYED

−2.736

−2.694

−0.298

−0.897

(0.456)

(0.455)

(0.878)

(0.897)

OWNEDHOUSES

−0.503

−0.493

−0.392

−0.057

(0.068)

(0.067)

(0.333)

(0.336)

FOREIGN

−0.444

−0.483

0.109

0.107

(0.094)

(0.093)

(0.524)

(0.519)

Constant

3.366

3.945

3.390

2.921

(0.171)

(0.148)

(0.556)

(0.417)

Fixed effects

City + quarter

City + quarter

Quarter

Quarter

Observations

2977

2977

423

420

Adjusted R-squared

0.835

0.835

0.540

0.541

AIC

−919

−920

110

109

  1. Note: p<0.1; p<0.05; p<0.01.