Ethnic Hostility among Ethnic Majority and Minority Groups

status’.
MODEL PROGRAM p=.5 d1=2 d2=2 d3=2 d4=2 d5=2 d6=2 bcov=0 bhso=0.
vector d = d1 to d6.
COMPUTE PRED=(p + bhso*hso)*d(origin) + (1-(p+ bhso*hso))*d(desti
nation) + bcov*cov.
NLR depY.
*Interpretation:
*Based only on the estimate of bhso we directly see that we have
to refute our hypotheses.
*The correct F-statistic to test that p 0.5 is
described in for example Greene Econometric Analysis Chapter 6
“Inference and Prediction”
*Model 4: DepY dominance model.
*Our next hypotheses is that it is easier to acculturate to less
tolerant norms. Thus the impact of origin/destination depends on
which one could be characterised as being more tolerant.
*In our article we have exactly the opposite hypotheses, this is
just a hypotheses to illustrate the point.
*The assumption within DMM is that stable members represent the
reference attitudes of each category (diagonal mobility models are
also referred to as diagonal reference models).
*We thus defi ne tolerance on the basis of the attitudes of the stable
members.
*The mean attitudes of the stable members (the diagonal cells in
our table) are parameters in our model.
*The defi nition of the dummy is thus somewhat more complicated since
it depends on the parameter estimates of the model.
*dtol is our tolerance dummy and formal hypotheses is that
dtold(destination)).
COMPUTE PRED=(p + bdtol*dtol)*d(origin) + (1-(p+ bdtol*dtol))*d(d
estination) + bcov*cov.
NLR depY.
*Interpretation:
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