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Table 6 Housing prices and immigration—cantons from 1998–2016: OLS regressions.

From: How does immigration affect housing costs in Switzerland?

Dep. var.:

\(\Delta \, \text {ln} \, HP_{it}\)

\(\Delta \, \text {ln} \, AP_{it}\)

\(\Delta \, \text {ln} \, RP_{it}\)

 

(1)

(2)

(3)

(4)

(5)

(6)

\(\frac{\Delta I_{it}}{Pop_{it-1}}\)

1.881\(^{**}\)

1.720\(^{**}\)

1.097\(^{*}\)

1.089\(^{*}\)

2.387\(^{***}\)

2.175\(^{***}\)

 

[0.011]

[0.011]

[0.073]

[0.059]

[0.006]

[0.005]

\(\Delta \, u_{it-1}\)

-0.406

 

-0.342

 

1.592

 
 

[0.417]

 

[0.488]

 

[0.206]

 

\(\Delta \, \text {ln} \, wage_{it-1}\)

 

0.660\(^{**}\)

 

0.535

 

0.245

  

[0.026]

 

[0.114]

 

[0.282]

\(\Delta \, \text {ln} \, CP_{it-1}\)

 

0.314\(^{*}\)

 

-0.183

 

0.303

  

[0.053]

 

[0.431]

 

[0.407]

\(\Delta \, \text {ln} \, VAC_{it-1}\)

 

-0.009

 

0.000

 

0.000

  

[0.440]

 

[0.977]

 

[0.999]

Year FE

Yes

Yes

Yes

Yes

Yes

Yes

\(Obs\)

442

442

442

442

427

427

\(R^{2}\)

0.432

0.453

0.407

0.415

0.149

0.145

  1. p-values in brackets. Standard errors clustered by cantons are estimated by the wild bootstrap. The regressions are run at the cantonal level for the period from 1998–2016. \(\Delta\) indicates first differences
  2. Significance levels: \(^{*}\) \(p<0.10\), \(^{**}\) \(p<0.05\), \(^{***}\) \(p<0.01\)