Modeling of Socio Economic Factors Driven Poverty Reduction on Disabled Persons

This paper aims to observe the effect of socioeconomic factors inherently on disable people related to the tendency of people with disability would become poor or not. The two socioeconomic factors are segregated into each variable, namely: a) Economic factor consisting of three: ‘access to business loans’, ‘jobs sector’ and ‘working hours’; whilst b) Social factor consisting of two: ‘access to courses (informal school)’ and ‘mean years schooling (average length of school)’. All those socioeconomic factors simultaneously determine the independent variables. The dependent variable is a result of classification (categorical data) whether the part or the whole socioeconomic factors (dependent variables) simultaneously make contribution and lead to the high tendency of disable people categorized being poor or not. The poor classification of population is accumulation of the two deciles out of the ten poor groups based on basic consumption approach. The main source of data for this study is the National Socio Economic Survey 2009 which this year focuses on the Social and Cultural Education in the questionnaire module and core questionnaire. The method of data processing and calculation is applying the logistic regression analysis with specific model on Forward Wald method to measure the odd ratio of individual characteristics.