
Call:
lm(formula = globtr1 ~ natism1 + w1fremkt1r1, data = data.us, 
    weights = weight_w2)

Weighted Residuals:
     Min       1Q   Median       3Q      Max 
-1.25749 -0.13913 -0.00617  0.16060  1.14674 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  0.71280    0.01668  42.742  < 2e-16 ***
natism1     -0.41680    0.02626 -15.869  < 2e-16 ***
w1fremkt1r1  0.07487    0.01958   3.823 0.000135 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.249 on 2183 degrees of freedom
  (8212 observations deleted due to missingness)
Multiple R-squared:  0.1034,	Adjusted R-squared:  0.1026 
F-statistic: 125.9 on 2 and 2183 DF,  p-value: < 2.2e-16


Call:
lm(formula = globtr1 ~ natism1 + w1fremkt1r1, data = data.uk, 
    weights = W8wave2)

Weighted Residuals:
    Min      1Q  Median      3Q     Max 
-1.1509 -0.1285 -0.0046  0.1390  1.1159 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  0.65592    0.01620  40.485  < 2e-16 ***
natism1     -0.31355    0.02085 -15.040  < 2e-16 ***
w1fremkt1r1  0.17499    0.02130   8.216 3.58e-16 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2173 on 2152 degrees of freedom
  (4345 observations deleted due to missingness)
Multiple R-squared:  0.1087,	Adjusted R-squared:  0.1079 
F-statistic: 131.2 on 2 and 2152 DF,  p-value: < 2.2e-16


Call:
lm(formula = globtr1 ~ natism1 + w1fremkt1r1 + w1fremkt1r1 * 
    natism1, data = data.us, weights = weight_w2)

Weighted Residuals:
     Min       1Q   Median       3Q      Max 
-1.31471 -0.13750 -0.00389  0.16162  1.07647 

Coefficients:
                    Estimate Std. Error t value Pr(>|t|)    
(Intercept)          0.58459    0.02802  20.866  < 2e-16 ***
natism1             -0.11192    0.05973  -1.874   0.0611 .  
w1fremkt1r1          0.28305    0.04153   6.816 1.21e-11 ***
natism1:w1fremkt1r1 -0.47026    0.08289  -5.673 1.59e-08 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2473 on 2182 degrees of freedom
  (8212 observations deleted due to missingness)
Multiple R-squared:  0.1165,	Adjusted R-squared:  0.1153 
F-statistic: 95.88 on 3 and 2182 DF,  p-value: < 2.2e-16


Call:
lm(formula = globtr1 ~ natism1 + w1fremkt1r1 + w1fremkt1r1 * 
    natism1, data = data.uk, weights = W8wave2)

Weighted Residuals:
     Min       1Q   Median       3Q      Max 
-1.14809 -0.12828 -0.00428  0.13889  0.97821 

Coefficients:
                    Estimate Std. Error t value Pr(>|t|)    
(Intercept)          0.56415    0.02804  20.117  < 2e-16 ***
natism1             -0.14310    0.04739  -3.020  0.00256 ** 
w1fremkt1r1          0.35089    0.04881   7.189 8.96e-13 ***
natism1:w1fremkt1r1 -0.31785    0.07942  -4.002 6.49e-05 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2166 on 2151 degrees of freedom
  (4345 observations deleted due to missingness)
Multiple R-squared:  0.1153,	Adjusted R-squared:  0.114 
F-statistic: 93.42 on 3 and 2151 DF,  p-value: < 2.2e-16


Call:
lm(formula = globtr1 ~ natism1 + w1fremkt1r1 + natism1 * w1fremkt1r1 + 
    econsentimentw2 + w1regmkt1r1 + rightwing1 + univ1 + conform1 + 
    white + male + age + university + workfull + workpart + workstudent + 
    workretired + workother, data = data.us, weights = weight_w2)

Weighted Residuals:
     Min       1Q   Median       3Q      Max 
-1.49364 -0.13047  0.00794  0.15263  0.81376 

Coefficients:
                     Estimate Std. Error t value Pr(>|t|)    
(Intercept)          0.382659   0.051399   7.445 1.39e-13 ***
natism1             -0.012362   0.061497  -0.201 0.840700    
w1fremkt1r1          0.300480   0.042041   7.147 1.20e-12 ***
econsentimentw2      0.299572   0.028754  10.419  < 2e-16 ***
w1regmkt1r1          0.038548   0.020282   1.901 0.057492 .  
rightwing1           0.093279   0.025221   3.698 0.000222 ***
univ1               -0.019281   0.026078  -0.739 0.459774    
conform1             0.005772   0.019726   0.293 0.769855    
white               -0.019292   0.011965  -1.612 0.107012    
male                -0.001261   0.010932  -0.115 0.908184    
age                 -0.001259   0.000452  -2.785 0.005402 ** 
university           0.047991   0.011949   4.016 6.11e-05 ***
workfull            -0.022782   0.020243  -1.125 0.260536    
workpart             0.008366   0.024779   0.338 0.735684    
workstudent          0.023780   0.029967   0.794 0.427552    
workretired          0.012267   0.024160   0.508 0.611684    
workother           -0.023450   0.023009  -1.019 0.308234    
natism1:w1fremkt1r1 -0.426398   0.080788  -5.278 1.44e-07 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2377 on 2168 degrees of freedom
  (8212 observations deleted due to missingness)
Multiple R-squared:  0.189,	Adjusted R-squared:  0.1827 
F-statistic: 29.73 on 17 and 2168 DF,  p-value: < 2.2e-16


Call:
lm(formula = globtr1 ~ natism1 + w1fremkt1r1 + natism1 * w1fremkt1r1 + 
    econsentimentw2 + w1regmkt1r1 + rightwing1 + univ1 + conform1 + 
    white + male + age + university + workfull + workpart + workstudent + 
    workretired + workother, data = data.uk, weights = W8wave2)

Weighted Residuals:
     Min       1Q   Median       3Q      Max 
-1.18852 -0.11904 -0.00157  0.13806  0.88456 

Coefficients:
                      Estimate Std. Error t value Pr(>|t|)    
(Intercept)          0.4629628  0.0490731   9.434  < 2e-16 ***
natism1             -0.1670978  0.0491427  -3.400 0.000686 ***
w1fremkt1r1          0.2581954  0.0495669   5.209 2.08e-07 ***
econsentimentw2      0.2108560  0.0281841   7.481 1.07e-13 ***
w1regmkt1r1          0.0526281  0.0240464   2.189 0.028734 *  
rightwing1           0.0736521  0.0265841   2.771 0.005645 ** 
univ1                0.0314187  0.0234612   1.339 0.180656    
conform1             0.0101885  0.0186801   0.545 0.585522    
white                0.0294965  0.0192313   1.534 0.125232    
male                -0.0131537  0.0094476  -1.392 0.163983    
age                 -0.0010486  0.0004474  -2.344 0.019184 *  
university          -0.0168069  0.0101036  -1.663 0.096367 .  
workfull             0.0009286  0.0160490   0.058 0.953867    
workpart             0.0270560  0.0205695   1.315 0.188535    
workstudent          0.1435476  0.0399960   3.589 0.000339 ***
workretired          0.0135505  0.0195805   0.692 0.488989    
workother           -0.0793773  0.0368967  -2.151 0.031561 *  
natism1:w1fremkt1r1 -0.2387464  0.0782718  -3.050 0.002315 ** 
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2107 on 2137 degrees of freedom
  (4345 observations deleted due to missingness)
Multiple R-squared:  0.1682,	Adjusted R-squared:  0.1616 
F-statistic: 25.43 on 17 and 2137 DF,  p-value: < 2.2e-16


Call:
lm(formula = bustr1 ~ natism1 + w1fremkt1r1, data = data.us, 
    weights = weight_w2)

Weighted Residuals:
    Min      1Q  Median      3Q     Max 
-1.0741 -0.1960 -0.0362  0.1689  1.3007 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  0.60877    0.01730  35.192  < 2e-16 ***
natism1     -0.37415    0.02724 -13.733  < 2e-16 ***
w1fremkt1r1  0.05422    0.02031   2.669  0.00766 ** 
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2583 on 2183 degrees of freedom
  (8212 observations deleted due to missingness)
Multiple R-squared:  0.07963,	Adjusted R-squared:  0.07879 
F-statistic: 94.43 on 2 and 2183 DF,  p-value: < 2.2e-16


Call:
lm(formula = bustr1 ~ natism1 + w1fremkt1r1, data = data.uk, 
    weights = W8wave2)

Weighted Residuals:
     Min       1Q   Median       3Q      Max 
-0.78494 -0.19093 -0.00546  0.14969  1.17889 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  0.46456    0.01841   25.24   <2e-16 ***
natism1     -0.26412    0.02368  -11.15   <2e-16 ***
w1fremkt1r1  0.25707    0.02420   10.62   <2e-16 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2469 on 2152 degrees of freedom
  (4345 observations deleted due to missingness)
Multiple R-squared:  0.08744,	Adjusted R-squared:  0.08659 
F-statistic: 103.1 on 2 and 2152 DF,  p-value: < 2.2e-16


Call:
lm(formula = bustr1 ~ natism1 + w1fremkt1r1 + w1fremkt1r1 * natism1, 
    data = data.us, weights = weight_w2)

Weighted Residuals:
     Min       1Q   Median       3Q      Max 
-1.13247 -0.19237 -0.03292  0.16367  1.22910 

Coefficients:
                    Estimate Std. Error t value Pr(>|t|)    
(Intercept)          0.47804    0.02907  16.446  < 2e-16 ***
natism1             -0.06329    0.06197  -1.021    0.307    
w1fremkt1r1          0.26648    0.04308   6.185 7.40e-10 ***
natism1:w1fremkt1r1 -0.47948    0.08600  -5.575 2.77e-08 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2566 on 2182 degrees of freedom
  (8212 observations deleted due to missingness)
Multiple R-squared:  0.09256,	Adjusted R-squared:  0.09131 
F-statistic: 74.19 on 3 and 2182 DF,  p-value: < 2.2e-16


Call:
lm(formula = bustr1 ~ natism1 + w1fremkt1r1 + w1fremkt1r1 * natism1, 
    data = data.uk, weights = W8wave2)

Weighted Residuals:
     Min       1Q   Median       3Q      Max 
-0.79907 -0.19046 -0.00381  0.14804  1.16917 

Coefficients:
                    Estimate Std. Error t value Pr(>|t|)    
(Intercept)          0.36565    0.03187  11.473  < 2e-16 ***
natism1             -0.08040    0.05386  -1.493 0.135616    
w1fremkt1r1          0.44666    0.05547   8.052 1.33e-15 ***
natism1:w1fremkt1r1 -0.34260    0.09026  -3.796 0.000151 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2461 on 2151 degrees of freedom
  (4345 observations deleted due to missingness)
Multiple R-squared:  0.09351,	Adjusted R-squared:  0.09225 
F-statistic: 73.96 on 3 and 2151 DF,  p-value: < 2.2e-16


Call:
lm(formula = bustr1 ~ natism1 + w1fremkt1r1 + natism1 * w1fremkt1r1 + 
    econsentimentw2 + w1regmkt1r1 + rightwing1 + univ1 + conform1 + 
    white + male + age + university + workfull + workpart + workstudent + 
    workretired + workother, data = data.us, weights = weight_w2)

Weighted Residuals:
     Min       1Q   Median       3Q      Max 
-1.26035 -0.17123 -0.02082  0.16141  0.94321 

Coefficients:
                      Estimate Std. Error t value Pr(>|t|)    
(Intercept)          0.4269105  0.0531814   8.027 1.62e-15 ***
natism1             -0.0279999  0.0636299  -0.440  0.65995    
w1fremkt1r1          0.2484428  0.0434993   5.711 1.27e-08 ***
econsentimentw2      0.2371951  0.0297511   7.973 2.49e-15 ***
w1regmkt1r1          0.0266033  0.0209859   1.268  0.20505    
rightwing1           0.1166599  0.0260954   4.471 8.21e-06 ***
univ1               -0.0648794  0.0269829  -2.404  0.01628 *  
conform1             0.0443730  0.0204106   2.174  0.02981 *  
white               -0.0650242  0.0123798  -5.252 1.65e-07 ***
male                 0.0146365  0.0113109   1.294  0.19580    
age                 -0.0015016  0.0004677  -3.211  0.00134 ** 
university           0.0383103  0.0123634   3.099  0.00197 ** 
workfull            -0.0561173  0.0209449  -2.679  0.00743 ** 
workpart            -0.0187888  0.0256388  -0.733  0.46374    
workstudent          0.0014593  0.0310067   0.047  0.96247    
workretired         -0.0101294  0.0249978  -0.405  0.68536    
workother           -0.0593293  0.0238069  -2.492  0.01277 *  
natism1:w1fremkt1r1 -0.4214203  0.0835898  -5.042 5.00e-07 ***
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2459 on 2168 degrees of freedom
  (8212 observations deleted due to missingness)
Multiple R-squared:  0.1717,	Adjusted R-squared:  0.1652 
F-statistic: 26.43 on 17 and 2168 DF,  p-value: < 2.2e-16


Call:
lm(formula = bustr1 ~ natism1 + w1fremkt1r1 + natism1 * w1fremkt1r1 + 
    econsentimentw2 + w1regmkt1r1 + rightwing1 + univ1 + conform1 + 
    white + male + age + university + workfull + workpart + workstudent + 
    workretired + workother, data = data.uk, weights = W8wave2)

Weighted Residuals:
     Min       1Q   Median       3Q      Max 
-1.08590 -0.17832 -0.00542  0.15570  0.94210 

Coefficients:
                      Estimate Std. Error t value Pr(>|t|)    
(Intercept)          0.2763781  0.0558226   4.951 7.96e-07 ***
natism1             -0.1022124  0.0559017  -1.828  0.06762 .  
w1fremkt1r1          0.3452032  0.0563843   6.122 1.09e-09 ***
econsentimentw2      0.2901383  0.0320605   9.050  < 2e-16 ***
w1regmkt1r1          0.0703344  0.0273538   2.571  0.01020 *  
rightwing1           0.0422636  0.0302404   1.398  0.16238    
univ1               -0.0085179  0.0266881  -0.319  0.74963    
conform1             0.0087171  0.0212493   0.410  0.68168    
white               -0.0132367  0.0218763  -0.605  0.54520    
male                 0.0005288  0.0107470   0.049  0.96076    
age                 -0.0004468  0.0005089  -0.878  0.38013    
university          -0.0236173  0.0114932  -2.055  0.04001 *  
workfull            -0.0016388  0.0182563  -0.090  0.92848    
workpart             0.0344943  0.0233986   1.474  0.14057    
workstudent          0.1262770  0.0454970   2.775  0.00556 ** 
workretired          0.0243403  0.0222736   1.093  0.27461    
workother           -0.0546337  0.0419714  -1.302  0.19316    
natism1:w1fremkt1r1 -0.2669053  0.0890372  -2.998  0.00275 ** 
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2397 on 2137 degrees of freedom
  (4345 observations deleted due to missingness)
Multiple R-squared:  0.1462,	Adjusted R-squared:  0.1394 
F-statistic: 21.52 on 17 and 2137 DF,  p-value: < 2.2e-16


% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Mon, Nov 23, 2020 - 10:02:46 AM
\begin{table}[!htbp] \centering 
  \caption{Nativism and Beliefs about Global Trade} 
  \label{tab:newecongood} 
\begin{tabular}{@{\extracolsep{5pt}}lcccccccccccc} 
\\[-1.8ex]\hline \\[-1.8ex] 
\\[-1.8ex] & \multicolumn{6}{c}{globtr1} & \multicolumn{6}{c}{bustr1} \\ 
\\[-1.8ex] & (1) & (2) & (3) & (4) & (5) & (6) & (7) & (8) & (9) & (10) & (11) & (12)\\ 
\hline \\[-1.8ex] 
 Nativism & $-$0.42$^{**}$ & $-$0.11 & $-$0.01 & $-$0.31$^{**}$ & $-$0.14$^{**}$ & $-$0.17$^{**}$ & $-$0.37$^{**}$ & $-$0.06 & $-$0.03 & $-$0.26$^{**}$ & $-$0.08 & $-$0.10 \\ 
  & (0.03) & (0.06) & (0.06) & (0.02) & (0.05) & (0.05) & (0.03) & (0.06) & (0.06) & (0.02) & (0.05) & (0.06) \\ 
  Free Market & 0.07$^{**}$ & 0.28$^{**}$ & 0.30$^{**}$ & 0.17$^{**}$ & 0.35$^{**}$ & 0.26$^{**}$ & 0.05$^{**}$ & 0.27$^{**}$ & 0.25$^{**}$ & 0.26$^{**}$ & 0.45$^{**}$ & 0.35$^{**}$ \\ 
  & (0.02) & (0.04) & (0.04) & (0.02) & (0.05) & (0.05) & (0.02) & (0.04) & (0.04) & (0.02) & (0.06) & (0.06) \\ 
  Economic Perceptions &  &  & 0.30$^{**}$ &  &  & 0.21$^{**}$ &  &  & 0.24$^{**}$ &  &  & 0.29$^{**}$ \\ 
  &  &  & (0.03) &  &  & (0.03) &  &  & (0.03) &  &  & (0.03) \\ 
  Govt. Regulation Good &  &  & 0.04 &  &  & 0.05$^{*}$ &  &  & 0.03 &  &  & 0.07$^{*}$ \\ 
  &  &  & (0.02) &  &  & (0.02) &  &  & (0.02) &  &  & (0.03) \\ 
  Right Wing &  &  & 0.09$^{**}$ &  &  & 0.07$^{**}$ &  &  & 0.12$^{**}$ &  &  & 0.04 \\ 
  &  &  & (0.03) &  &  & (0.03) &  &  & (0.03) &  &  & (0.03) \\ 
  Universalism &  &  & $-$0.02 &  &  & 0.03 &  &  & $-$0.06$^{*}$ &  &  & $-$0.01 \\ 
  &  &  & (0.03) &  &  & (0.02) &  &  & (0.03) &  &  & (0.03) \\ 
  Conformity &  &  & 0.01 &  &  & 0.01 &  &  & 0.04$^{*}$ &  &  & 0.01 \\ 
  &  &  & (0.02) &  &  & (0.02) &  &  & (0.02) &  &  & (0.02) \\ 
  White &  &  & $-$0.02 &  &  & 0.03 &  &  & $-$0.07$^{**}$ &  &  & $-$0.01 \\ 
  &  &  & (0.01) &  &  & (0.02) &  &  & (0.01) &  &  & (0.02) \\ 
  Male &  &  & $-$0.001 &  &  & $-$0.01 &  &  & 0.01 &  &  & 0.001 \\ 
  &  &  & (0.01) &  &  & (0.01) &  &  & (0.01) &  &  & (0.01) \\ 
  Age &  &  & $-$0.001$^{**}$ &  &  & $-$0.001$^{*}$ &  &  & $-$0.002$^{**}$ &  &  & $-$0.0004 \\ 
  &  &  & (0.0005) &  &  & (0.0004) &  &  & (0.0005) &  &  & (0.001) \\ 
  University &  &  & 0.05$^{**}$ &  &  & $-$0.02 &  &  & 0.04$^{**}$ &  &  & $-$0.02$^{*}$ \\ 
  &  &  & (0.01) &  &  & (0.01) &  &  & (0.01) &  &  & (0.01) \\ 
  Full Time &  &  & $-$0.02 &  &  & 0.001 &  &  & $-$0.06$^{**}$ &  &  & $-$0.002 \\ 
  &  &  & (0.02) &  &  & (0.02) &  &  & (0.02) &  &  & (0.02) \\ 
  Part Time &  &  & 0.01 &  &  & 0.03 &  &  & $-$0.02 &  &  & 0.03 \\ 
  &  &  & (0.02) &  &  & (0.02) &  &  & (0.03) &  &  & (0.02) \\ 
  Student &  &  & 0.02 &  &  & 0.14$^{**}$ &  &  & 0.001 &  &  & 0.13$^{**}$ \\ 
  &  &  & (0.03) &  &  & (0.04) &  &  & (0.03) &  &  & (0.05) \\ 
  Retired &  &  & 0.01 &  &  & 0.01 &  &  & $-$0.01 &  &  & 0.02 \\ 
  &  &  & (0.02) &  &  & (0.02) &  &  & (0.02) &  &  & (0.02) \\ 
  Other &  &  & $-$0.02 &  &  & $-$0.08$^{*}$ &  &  & $-$0.06$^{*}$ &  &  & $-$0.05 \\ 
  &  &  & (0.02) &  &  & (0.04) &  &  & (0.02) &  &  & (0.04) \\ 
  Nativism x Free Market &  & $-$0.47$^{**}$ & $-$0.43$^{**}$ &  & $-$0.32$^{**}$ & $-$0.24$^{**}$ &  & $-$0.48$^{**}$ & $-$0.42$^{**}$ &  & $-$0.34$^{**}$ & $-$0.27$^{**}$ \\ 
  &  & (0.08) & (0.08) &  & (0.08) & (0.08) &  & (0.09) & (0.08) &  & (0.09) & (0.09) \\ 
  Constant & 0.71$^{**}$ & 0.58$^{**}$ & 0.38$^{**}$ & 0.66$^{**}$ & 0.56$^{**}$ & 0.46$^{**}$ & 0.61$^{**}$ & 0.48$^{**}$ & 0.43$^{**}$ & 0.46$^{**}$ & 0.37$^{**}$ & 0.28$^{**}$ \\ 
  & (0.02) & (0.03) & (0.05) & (0.02) & (0.03) & (0.05) & (0.02) & (0.03) & (0.05) & (0.02) & (0.03) & (0.06) \\ 
 N & 2,186 & 2,186 & 2,186 & 2,155 & 2,155 & 2,155 & 2,186 & 2,186 & 2,186 & 2,155 & 2,155 & 2,155 \\ 
R$^{2}$ & 0.10 & 0.12 & 0.19 & 0.11 & 0.12 & 0.17 & 0.08 & 0.09 & 0.17 & 0.09 & 0.09 & 0.15 \\ 
Adjusted R$^{2}$ & 0.10 & 0.12 & 0.18 & 0.11 & 0.11 & 0.16 & 0.08 & 0.09 & 0.17 & 0.09 & 0.09 & 0.14 \\ 
\hline \\[-1.8ex] 
\multicolumn{13}{l}{$^{*}$p $<$ .05; $^{**}$p $<$ .01; $^{***}$p $<$ [.***]} \\ 
\end{tabular} 
\end{table} 
natism1 
    5.6 
natism1 
    1.8 
Parallel computing with 4 cores...
Cross-validating bandwidth ... Bandwidth = 1 
Bootstrapping ...

NULL
Parallel computing with 4 cores...
Cross-validating bandwidth ... Bandwidth = 0.539 
Bootstrapping ...

Parallel computing with 4 cores...
Cross-validating bandwidth ... Bandwidth = 0.357 
Bootstrapping ...

Parallel computing with 4 cores...
Cross-validating bandwidth ... Bandwidth = 1 
Bootstrapping ...

NULL
           X        ME         SE      CI_lower  CI_upper
55 0.5454545 0.0677845 0.03452615 -0.0005335592 0.1324069
    50%     70%     75% 
0.50000 0.56250 0.59375 
NULL
[1] 0.04432776

	Welch Two Sample t-test

data:  supptrade1 by tradeinfohi
t = -4.487, df = 2324.7, p-value = 7.574e-06
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.06370050 -0.02495503
sample estimates:
mean in group 0 mean in group 1 
      0.4823798       0.5267075 

[1] 0.04441053

	Welch Two Sample t-test

data:  supptrade1 by tradeinfohi
t = -4.8112, df = 2328.5, p-value = 1.596e-06
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.06251168 -0.02630937
sample estimates:
mean in group 0 mean in group 1 
      0.5634073       0.6078179 


Call:
lm(formula = supptrade1 ~ tradeinfohi + natism1 + tradeinfohi * 
    natism1, data = data.us)

Residuals:
     Min       1Q   Median       3Q      Max 
-0.65250 -0.12841  0.00748  0.13829  0.64321 

Coefficients:
                    Estimate Std. Error t value Pr(>|t|)    
(Intercept)          0.59614    0.01666  35.784  < 2e-16 ***
tradeinfohi          0.08695    0.02406   3.614 0.000308 ***
natism1             -0.23684    0.03178  -7.452 1.28e-13 ***
tradeinfohi:natism1 -0.08945    0.04602  -1.944 0.052018 .  
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2317 on 2344 degrees of freedom
  (8050 observations deleted due to missingness)
Multiple R-squared:  0.06879,	Adjusted R-squared:  0.0676 
F-statistic: 57.72 on 3 and 2344 DF,  p-value: < 2.2e-16


Call:
lm(formula = supptrade1 ~ tradeinfohi + natism1 + tradeinfohi * 
    natism1, data = data.uk)

Residuals:
     Min       1Q   Median       3Q      Max 
-0.70318 -0.11505 -0.02087  0.14979  0.55157 

Coefficients:
                    Estimate Std. Error t value Pr(>|t|)    
(Intercept)          0.70923    0.01676  42.319   <2e-16 ***
tradeinfohi          0.02612    0.02366   1.104    0.270    
natism1             -0.26081    0.02777  -9.393   <2e-16 ***
tradeinfohi:natism1  0.02912    0.03948   0.738    0.461    
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.216 on 2331 degrees of freedom
  (4165 observations deleted due to missingness)
Multiple R-squared:  0.07206,	Adjusted R-squared:  0.07087 
F-statistic: 60.34 on 3 and 2331 DF,  p-value: < 2.2e-16

   natism1 
-0.2368423 
   natism1 
-0.2608072 
tradeinfohi:natism1 
        -0.08945274 
tradeinfohi:natism1 
         0.02912428 
Parallel computing with 4 cores...
Cross-validating bandwidth ... Bandwidth = 1 
Bootstrapping ...

Parallel computing with 4 cores...
Cross-validating bandwidth ... Bandwidth = 0.157 
Bootstrapping ...

NULL
    33%     66% 
0.40625 0.53125 

Call:
lm(formula = supptrade1 ~ natlow + natmid + tradeinfohi + natlow * 
    tradeinfohi + natmid * tradeinfohi, data = data.us)

Residuals:
     Min       1Q   Median       3Q      Max 
-0.60714 -0.10714  0.02108  0.14286  0.55987 

Coefficients:
                   Estimate Std. Error t value Pr(>|t|)    
(Intercept)         0.44013    0.01070  41.150  < 2e-16 ***
natlow              0.09568    0.01585   6.037 1.82e-09 ***
natmid              0.03879    0.01669   2.325   0.0202 *  
tradeinfohi         0.01783    0.01543   1.155   0.2481    
natlow:tradeinfohi  0.05351    0.02284   2.343   0.0192 *  
natmid:tradeinfohi  0.03120    0.02380   1.311   0.1901    
---
Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1

Residual standard error: 0.2334 on 2342 degrees of freedom
  (8050 observations deleted due to missingness)
Multiple R-squared:  0.0564,	Adjusted R-squared:  0.05439 
F-statistic:    28 on 5 and 2342 DF,  p-value: < 2.2e-16

natlow:tradeinfohi 
        0.05351034 
