APPLICATION OF MIXED EFFECT MODEL FOR ASSESSING DEMOGRAPHIC INDICATORS

Nunik Puspitasari, Arief Wibowo, Lutfi A. Salim, Nurul Fitriyah

Abstract


Mixed effect models have been implemented widely by researchers
who are doing experiments. Most population studies are done by observational
studies such as survey research, or by secondary data analysis
from census data. Independent variable of province determined by a
researcher may be considered as fixed effect component, while random
samples of districts or cities drawn from each province may be considered
as random effect component.
Three provinces in Java Island, East Java, Central Java, and West
Java, are considered as fixed effect component. Fourteen random samples
that represent district or city are drawn from each province. A number
of demographic indicators from each district or city are collected. The
data are obtained from population census performed in 2010 in three
provinces. A mixed effect model is constructed and parameters of random
effect component are estimated.

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