The Determinants of Individual Trade Policy Preferences: International Survey Evidence



Table 10. Simulating the impact on preferences of changing RHS variables

A. Equation (4), Table 4 (continued)

First Difference: Impact of high-skill when GDP per capita = $5000

Change in Probability ∣ Mean Std. Dev. [95% Conf. Interval]

dPr(protect==1) ∣

.0026699

.0012682

.0001494

.0052034

dPr(protect==2) ∣

.0103182

.004741

.0006345

.0194862

dPr(protect==3) ∣

.0105686

.0047525

.0006773

.0195221

dPr(protect==4) ∣

-.0006657

.0010204

-.0030787

.0010019

dPr(protect==5) ∣

-.0228909

.0102694

-.0420419

-.0014672

First Difference: Impact of high-skill when GDP per capita = $15000

Change in Probability ∣ Mean Std. Dev. [95% Conf. Interval]

dPr(protect==1) ∣

.0072067

.0009877

.0053957

.0093273

dPr(protect==2) ∣

.0263177

.002958

.0206797

.0324438

dPr(protect==3) ∣

.025299

.0026539

.0202207

.0305039

dPr(protect==4) ∣

-.0041574

.0021097

-.0083383

-.0003163

dPr(protect==5) ∣

-.0546661

.0057117

-.0655149

-.0436477

First Difference: Impact of high-skill when GDP per capita = $25000

Change in Probability ∣ Mean

Std. Dev.

[95% Conf. Interval]

dPr(protect==1) ∣ .0127708
dPr(protect==2) ∣ .0436224
dPr(protect==3) ∣ .0389498
dPr(protect==4) ∣ -.0109429
dPr(protect==5) ∣ -.0844001

.0020405
.0054026
.003894
.004037
.008483

.0090668 .0170057

.0330583 .0541702

.0312127 .0462664

-.019564 -.0036387

-.1006383 -.0677581

First Difference: Impact of national mobility

Change in Probability ∣ Mean

Std. Dev.

[95% Conf. Interval]

dPr(protect==1) ∣ .0001647
dPr(protect==2) ∣ .0006607
dPr(protect==3) ∣ .0007024

dPr(protect==4) ∣ -3.03e-06

dPr(protect==5) ∣ -.0015247

.000602
.0024323

.002618

.0002122
.0056915

-.0009862 .0013277

-.0039293 .0052194

-.004298 .0055967

-.0004342 .0004178

-.0121468 .0094165

First Difference: Impact of international mobility

Change in Probability ∣ Mean
-----------------------+------------------

Std. Dev.

[95% Conf. Interval]

dPr(protect==1) ∣ .0049903

dPr(protect==2) ∣ .0187507

dPr(protect==3) ∣ .0185949

dPr(protect==4) ∣ -.0021242

dPr(protect==5)∣ -.0402116

.0009142
.0030806
.0029016
.0015527
.0062809

.0032012 .0068706

.0125397 .0248353
.0125033   .024531

-.0053734 .0007657

-.0528894 -.0271189

41



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