Does More Education Always Lead to Better Health? Evidence from Rural Malaysia

Table 3

Probability of high blood pressure (probit).

Variables	High blood pressure
Education	−0.061 (0.055)
Residents age	0.135^*** (0.013)
Residents age squared	−0.0009^*** (0.0001)
Female	0.138^*** (0.051)
Married	0.103 (0.085)
Divorced	−0.028 (0.160)
Widowed	0.077 (0.126)
Separated	0.211 (0.271)
Household residents	−0.019^* (0.010)
Chinese	0.007 (0.063)
Indian	0.082 (0.089)
Indigenous	0.377^*** (0.161)
Other ethnicities	0.070 (0.291)
Self-insurance	−0.008 (0.057)
agric	−0.258 (0.233)
mang	0.293 (1.139)
con	−1.127^*** (0.411)
edu	0.086 (0.252)
eng	−0.317 (0.409)
food	0.181 (0.337)
gov	0.293 (0.403)
man	−0.336 (0.358)
oth	−0.596^** (0.279)
sal	−0.051 (0.305)
health	−0.283 (0.514)
sec	0.258 (0.388)
tran	−0.799^** (0.380)
prof	−0.047 (0.418)
agriced	0.079 (0.059)
manged	−0.094 (0.149)
coned	0.219^*** (0.081)
edued	0.027 (0.058)
enged	0.080 (0.079)
fooded	0.016 (0.078)
goved	−0.014 (0.078)
maned	0.120 (0.079)
othed	0.146^** (0.068)
saled	0.053 (0.068)
healthed	0.085 (0.082)
seced	0.004 (0.080)
traned	0.191^** (0.084)
profed	0.047 (0.073)
Bekok	0.230^*** (0.076)
Gemereh	0.196^*** (0.077)
Chaah	0.224^*** (0.091)
Jabi	0.133^* (0.078)
Other (unlisted subdistrict)	0.164^*** (0.063)
Constant	−5.530^*** (0.428)
Pseudo ^2	0.19
Observations	8,849

Standard errors in parentheses , , and .