Skip to main content

Table 5 First-stage regressions.

From: How does immigration affect housing costs in Switzerland?

Dep. var.:

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

\(\frac{\Delta I_{it}}{Pop_{it-1}} \times {\textbf {1}} (t \ge 2002)\)

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

(1)

(2)

(3)

(4)

(5)

\(\frac{\Delta \hat{I}_{it}}{Pop_{it-1}}\)

0.222\(^{***}\)

0.198\(^{***}\)

0.000

0.172\(^{*}\)

0.172\(^{*}\)

 

[0.001]

[0.001]

[0.983]

[0.095]

[0.094]

\(\frac{\Delta \hat{I}_{it}}{Pop_{it-1}} \times {\textbf {1}} (t \ge 2002)\)

 

0.043

0.241\(^{***}\)

  
  

[0.612]

[0.008]

  

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

\(-\)0.020

\(-\)0.022

0.000

\(-\)0.057

 
 

[0.595]

[0.561]

[0.983]

[0.525]

 

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

    

0.033\(^{*}\)

     

[0.087]

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

    

0.012

     

[0.431]

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

    

\(-\)0.001\(^{**}\)

     

[0.026]

Year FE

Yes

Yes

Yes

Yes

Yes

\(Obs\)

3279

3279

3279

442

442

\(R^{2}\)

0.400

0.400

0.576

0.438

0.444

Years

85-16

85-16

85-16

98-16

98-16

Region

MS

MS

MS

Canton

Canton

  1. p-values in brackets. In columns 1–3, standard errors are clustered by MS-regions. In columns 4–5, standard errors are clustered by cantons and estimated by the wild bootstrap. \(\Delta\) indicates first differences. The settlement pattern of immigrants in 1980 is used to predict the stock of foreigners in each region and year
  2. Significance levels: \(^{*}\) \(p<0.10\), \(^{**}\) \(p<0.05\), \(^{***}\) \(p<0.01\)