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CPS1290 Sahda R. et al.
symmetrical.The output of the probit model is quite complete, including the
regression coefficient, significance of variables, marginal effects, then the
probability value which is the inverse of the value Z. The probit model has also
been widely used in previous housingownership studies, including
Gandelman's research (2005), Constant, Roberts, and Zimmermann (2007),
Guris, Caglayan, and Un (2011), and Aizawa and Helble (2016).

3. Results
Overall, 48.33 percent of households in DKI Jakarta have their own homes
and 51.67 percent of households occupy non-own homes. This makes DKI
Jakarta the lowest region in terms of home ownership in Indonesia (BPS, 2018).
From the results obtained, it can be concluded that more than half of the
population of DKI Jakarta lives in houses that are not theirs.
The percentage of household owning a house based on many variables
can be seen in Table 1. The interesting figures is that woman has higher
number owning house than man. Informal worker also has higher probability
to own house.
Table 1. Distribution of self-owned housing status based on independent variables
Percentage of
households
No. Variables Category Percentage
with their own
houses
(1) (2) (3) (4) (5)
>7.000.000 31 72,5
1. Household expenditure
≤7.000.000 69 37,7

Sex of the head of the Man 83,4 46,1
2.
household Woman 16,6 60,4
Age of the head of the ≥35 78 57,6
3.
household <35 22 16,3
Educational level of the head ≥ Senior high school 60,2 49,7
4. of the household < Senior high school 39,8 46

Married or ever
Marital status of the head of 92,6 51,1
5. married
the household Single 7,4 16,6
Formal 55,4 39,5
Job status of the head of the
6. Informal or
household 44,6 57,2
unemployment
Number of household ≥4 52,9 58,1
7.
members <4 47,1 37,7
Yes 60,6 47,7
8. Presence of children
No 39,4 49,8
Source: Susenas Kor 2017 (processed)

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