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As a result, α 3 gives the unexplained difference in trust levels between the United States in the 2000's and Australia in other years than 20056.
For example, if crime rates were 0percentnt in the United States and Australia, the difference in trust between the two countries would be much greater (1.311).
One interesting exercise is to calculate the values that these host-country characteristics would need to take to eliminate the difference in trust between the two countries.
Finally, the difference in trust between the United States and Australia would disappear with a home-country index of segregation of 0.0017 in Australia (instead of 0.0013).
Since crime rates have a negative effect only in Australia, an increase in crime would reduce trust in Australia and lead to a reduction in the difference in trust between the two countries 13 years later.
In Section 6, we provide further insight into what may drive the difference in trust levels between the United States and Australia (as estimated by α 3 in equation 1).
Similar(48)
We used MLLC to calculate absolute differences in Trust effects on the log odds scale (with patient-level values aggregated to the Trust level) before ranking in order of 'best' to 'worst' survival, to compare with the ranks generated from the Trust SMRs.
Differences in trust across countries are large and long lasting.
The present study examined age differences in trust and reliance of an automated decision aid.
Therefore, differences in trust between countries or between individuals partly explain differences in their respective outcomes.
We test whether segregation by country of origin7 could account for some of the differences in trust between the United States and Australia.
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