Page 148 - 5th APA Conference Program Book Final

violence (IPV). Using the Women's Safety Module of the 2017 National Demographic and Health Survey data,
experiences of IPV of Filipino women was explored on the couple-level context of violence, focusing on elements
of control and power, and economic situation. Women experience of violence were categorized into three: non-
physical forms (economic, emotional and psychological), physical forms, and sexual violence. Their experiences of
violence were found to be related to some of their personal and husbands' characteristics, nature of martial
relations, and some aspects of their current life circumstances. The paper provides context and understanding of
couple-relationship dynamics, which would help design better programs eliminating gender-based violence, and
contribute to attaining SDG5.

1775 Homeownership in Iran: An Analysis on the Relationship between
Characteristics of the Heads of Households and Homeownership

Hamidreza Hajihashemi, Samane Ranjbari-Beyvardi
University of Tehran, Tehran, Iran, Islamic Republic of

Categories

13. Others (Education, Wellbeing and Happiness etc.)

Abstract

Housing is one of the basic needs for every household and the formation of new household means more demand
for new residential units. When the nuclear family with an independent and neolocal residence pattern becomes
prevalent, possessing a private housing is amongst the important priorities that families tend to have during their
life cycle. This paper examines how the characteristics of head of household are related to the probability of housing
tenure in Iran. Using individual –level data from 2011 national census, the paper estimates bivariate and multivariate
models to assess how the probability of housing tenure is related to differences in economic, social and
demographic characteristics of the heads of households.

The findings indicate that housing tenure differs according to the characteristics of the head of household in terms
of his/her age, gender, the place of residence, rural-urban, marital status, employment status, educational
attainment, and the household size. Around 29% of the variance in homeownership can be explained using these
variables.

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