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˹éÒ 14
By treating poverty status as dependent variable in this setup , one can test the
following four hypotheses : 1 . ... For each row of development variables , the
results of the four hypotheses testing are shown in the four columns respectively .
By treating poverty status as dependent variable in this setup , one can test the
following four hypotheses : 1 . ... For each row of development variables , the
results of the four hypotheses testing are shown in the four columns respectively .
˹éÒ 16
Except for only four variables , all other development variables are found to be
indicative for predicting the poverty level . To see which development aspect
plays the most important role in explaining poverty , we can compare the
coefficient for ...
Except for only four variables , all other development variables are found to be
indicative for predicting the poverty level . To see which development aspect
plays the most important role in explaining poverty , we can compare the
coefficient for ...
˹éÒ 24
We therefore experimented with intercept dummy variables for three of the four
countries and with slope dummies . Intercept dummies fitted the data better and
the statistical analysis is performed using intercept dummy variables ? to isolate ...
We therefore experimented with intercept dummy variables for three of the four
countries and with slope dummies . Intercept dummies fitted the data better and
the statistical analysis is performed using intercept dummy variables ? to isolate ...
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