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МОНГОЛЫН ХҮН АМЫН СЭТГҮҮЛ Дугаар (367) 20, 2011
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For the dummy variable sex: holding all other
variables at their means, being male increases
the both probability of living in Ger and House
by 3.3 per cent and 5.3 per cent, respectively
and decreases the probability of living in
apartment by 8.6 per cent.
It is easy to see from the Figure 3, the
average absolute change for a standard
deviation change in totrev is 11.4 per cent,
the maximum value from the all of average
absolute change. Thus household income
contributes more relatively to the explanation
of the other (numerical) variables. The effect
of totrev is largest on the probability of living
in apartment, where the expected change for
a standard deviation in totrev is 17.1 per cent.
Furthermore, the average absolute change
for a standard deviation change in childnum
is -9.5 per cent, the minimum value from the
all of average absolute change. The effect
of childnum is smallest on the probability of
living in apartment, where the expected change
for a standard deviation in childnum is -14.3
per cent.
CONCLUSIONS
This study has attempted to determine
the factors which influence to live in a
particular type of dwelling. The sample is from
the Urban Poverty and in-Migration survey
in 2004, which covers 1500 households in
Ulaanbaatar. Ten plausible factors were used
in analysis but during the estimation stage two
of them are excluded. Using both ordered logit
and multinominal logit models, significant ML
estimates and tests were reported.
The factors, namely age, sex and education
level of the head of family, number of
person in household, percentage of migrants
in household, number of children in
household, total revenue of household per
year and percentage of food expenses in total
Figure 3: Change in Predicted Probability for type of dwelling ( )
-.14 -.09 -.04 .01 .07 .12 .17
G H A
G H A
G H A
G H A
GH A
G H A
totper-std
mig_percent-std
age-std
childnum-std
totrev-std
food-std
expenditure per year have significant effect
on probability to live in particular type of
dwelling. The excluded two factors have
strong logical statements to be considered as
a factor in this type of analysis. Therefore, it
leaves us further study.
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