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МОНГОЛЫН ХҮН АМЫН СЭТГҮҮЛ Дугаар (367) 20, 2011

81

Second, family income is from the

employment of the household members. If

they have no work, there would be no income

as well as they will be live in poor condition.

“There are strong linkages between the

employment of the head of a household and

that household’s poverty status. Working with

data from the 2002-2003 Living Standards

Measurement Survey, the report calculates

a “poverty likelihood ratio” (PLR) for

households, the ratio of each group’s poverty

incidence to that of the overall population

sorted according to whether the head is

working and the sort of work. Households

headed by an individual who is of working

age but is economically inactive – i.e. neither

working nor looking for work – are the most

likely to be poor, with a PLR of 1.42, notably

more likely even than households headed by

an unemployed individual, who have a PLR of

1.33.”

36

Thus I am choosing the fact, which is

head of the household works or not, as a factor.

In addition, it is reasonable to choose the

percentage of working person in household as

a factor as well.

Third, some individual characteristic of

the head of household such as age, sex and

attained highest education level could be

useful in this analysis. The reason why I am

choosing is particular households’ general

status depends on the head of family according

to the social customs of Mongolia. He or

she, the head of household, always takes the

principal decision regarding to the household.

Furthermore, age of the head of household can

represent the age of family whether they are

young or old. Initially, young families don’t

have wealth but as time goes by they would

accumulate wealth and would live in a better

living condition. For the education, I have

studied the correlation between education level

and the type of dwelling and the result showed

significant association

37

.

Fourth, the internal migration tends to the

move to the urban area in order to find job

as well as to move closer to services for

education and health during the last decade.

36

Government of Mongolia, UNDP, 2008. Mongolia Human

Development Report 2007: Employment and Poverty, (pp. 13-15)

2007, Ulaanbaatar

37

Refer to the Table 1 in the appendix.

They move to the urban area due to dzud

38

which makes many herders to lose their

livestock. Mainly, migrant household lives

in a

Ger

and is expanding the

Ger

district

of Ulaanbaatar. Thus I decided to choose a

variable that could stand for migration status of

household. According to the data availability,

there are two type of variable, one of them

is the head of household is migrant or not,

the other one is percentage of migrants in

household.

Fifth, the number of total person and children

in the household could be considered as a

factor. As number of person in household

increases, the opportunity of access to the

better living condition could be limited if the

additional person does not earn the income.

Finally, I have noted before about the

importance of household income. Now it

is time to consider the usage of household

income. The percentage of food expenses

in total expenditure could be reasonable

explanatory variable in our analysis. The

income should first cover all the food expenses

and the surplus would be used to finance non

food and service expenses. The point is that the

chosen variable can stand for the sufficiency

of household income. If the percentage of

food expenses is high then the opportunity of

improving living condition would be limited.

ECONOMETRIC

MODELS

AND

ESTIMATION

Model specification of the study

Since the type of conventional dwelling

is the categorical data, it can be viewed as

ordinal or nominal variables. Thus I would

employ the ordered logit model as well as

multinominal logit model in order to find out

appropriate regression model.

Ordinal Logit Model

38

A

zud

or

dzud

(Mongolian: зуд) is a Mongolian term for an

extremely snowy winter in which livestock are unable to find fodder

through the snow cover, and large numbers of animals die due to

starvation and the cold. (Wikipedia)